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DESCRIPTION:PSI One Day Meeting: The Innovative\, Challenging and Diversifi
 ed World of Respiratory Disease During this one day meeting\, PSI aims to 
 cover a wide range of respiratory diseases and design considerations when 
 working in this therapeutic area. We hope that sharing between different a
 reas\; will stimulate interesting discussion and an opportunity to knowled
 ge share.     8.45 -9.10   Registration and Coffee     9.10 &ndash\; 9.15 
   Welcome and Introduction     9.15 &ndash\; 10.00   Respiratory diseases\
 , where we are and where we want to be in clinical science and medicines d
 evelopment: unmet needs\, challenges and opportunities        &nbsp\;   Ja
 nusz Kaminski (Roche)     10.00 &ndash\; 10.45   Statistical input into im
 proving data quality: the impact on respiratory endpoints in a COPD trial 
        &nbsp\;   Abigail Fuller &amp\; Nick Cowans (Veramed)     10.45 &nd
 ash\; 11.00   Coffee     11.00 &ndash\; 11.45   CDISC Asthma Therapeutic A
 rea Data Standards User Guide - Yes\, it is interesting!        &nbsp\;   
 Paul Terrill (CROSNT)     11.45 &ndash\; 12.30   Reflections on the method
 ological issues associated with the CHMP guideline on the evaluation of me
 dicinal products for treatment of bacterial infections (CPMP/EWP/558/95 re
 v 2)        &nbsp\;   Dr David Wright (MHRA)     12.30 &ndash\; 1.30   Lun
 ch     1.30- 2.15   Clinical trial design and analyses considerations for 
 the clinical development of a molecularly target agent (AZD9291) for patie
 nts with advanced NSCLC        &nbsp\;   Rachael Lawrance (AZ)     2.15 &n
 dash\; 3.00   Respiratory Device Development and the PBE method     &nbsp\
 ;   Misbah Ahmed (GSK)     3.00 &ndash\; 3.20   Coffee     3.20 &ndash\; 4
 .05   Clinical Development Challenges in Idiopathic Pulmonary Fibrosis    
     &nbsp\;   Andy Kenwright (Roche)     4.05 &ndash\; 4.50   Statistical 
 Analysis in the UBIOPRED Consortium     &nbsp\;   Aruna Bansal (U-BIOPRED)
      4.50 &ndash\; 5.00   Discussion and Close     Respiratory diseases\, 
 where we are and where we want to be in clinical science and medicines dev
 elopment: unmet needs\, challenges and opportunities Abstract:&nbsp\;A bri
 ef overview of respiratory diseases\, with a more detailed characteristics
  of selected indications (focusing on asthma\, COPD and IPF) will be given
  at the start of the presentation. An overview of unmet needs and challeng
 es in overcoming them\, both from the clinical and the medicines developme
 nt points of view\, will follow. Some of the challenges are disease specif
 ic while some of them are relevant across indications\, if not beyond the 
 area of respiratory\, which will be reflected in the talk. An overview of 
 "where we are and where we want to be" for the discussed indications\, and
  respiratory medicine\, will follow.&nbsp\;&nbsp\;&nbsp\; Janusz Kaminski 
 (Roche)  Associate Group Clinical Director\, Product Development Immunolog
 y\, Infectious Diseases and Ophthalmology (PD I2O)\, Welwyn Garden City. J
 anusz is a physician with approximately 20 years of professional experienc
 e spanning careers in academia\, clinical medicine and pharmaceutical indu
 stry.  Statistical input into improving data quality: the impact on respir
 atory endpoints in a COPD trial Abstract:&nbsp\;Large\, global late phase 
 studies often involve huge amounts of data of varying quality. Data freque
 ntly needs cleaning up prior to locking the database\, a responsibility ty
 pically lying with data management. The ability to look at multiple extrac
 ts of data while the study is ongoing and blinded has enabled us to develo
 p novel methods for increasing the confidence in data quality. In COPD tri
 als\, outcomes such as rate of decline of FEV1 can be heavily influenced b
 y outliers. Looking at these in a visual way emphasises the importance of 
 ensuring that these outliers are genuine data points. Similarly\, when rat
 es of respiratory tract exacerbations are an endpoint\, recording duplicat
 e or overlapping events will alter results. Prior to this work clinicians 
 would spend time looking through vast amounts of data. This talk will pres
 ent a variety of Patient Profile review tools that has made clinical revie
 w a quick and easy process stressing the importance of these data on our e
 ndpoints. We attempt to assess the value of statistical input on the data 
 management processes.  Nick Cowans (Veramed)   Nick has been working as a 
 Statistician at Veramed since September 2013\, where he has been primarily
  involved in a large Phase IIIb clinical trial. During this time he has de
 veloped his skills in R and SAS programming as well as his knowledge in th
 e respiratory therapeutic area. Nick has 9 years&rsquo\; experience as a r
 esearch assistant within a group focused on developments in prenatal scree
 ning.&nbsp\; During this time he developed strong statistical skills to bu
 ild upon his biochemistry and pharmacology background.&nbsp\; He was able 
 to acquire experience and expertise in statistical analysis\, report writi
 ng and communication of data through published papers and presentations at
  conferences and meetings. Nick holds an MSc in Statistics (University of 
 Sheffield)\, an MSc in Pharmacology (Kings College London) and a BSc in Bi
 ochemistry (Imperial College London). Abigail Fuller (Veramed)   Since Nov
 ember 2012\, Abby has been working as a Statistician at Veramed\, where sh
 e has been primarily involved in a large\, global Phase IIIb clinical stud
 y. During this time she has developed her skills in SAS programming\, appl
 ying statistical methods\, RAP writing and study management\, as well as h
 er knowledge in the respiratory therapeutic area. She gained an interest i
 n the industry after completing a placement year working at Amgen in Oncol
 ogy and went on to study an MSc in Statistics with Applications in Medicin
 e (University of Southampton) after completing her BSc in Mathematics and 
 its Applications (Cardiff University). She is a SAS Certified Base Program
 mer (SAS Institute)  CDISC Asthma Therapeutic Area Data Standards User Gui
 de - Yes\, it is interesting! Abstract:&nbsp\;CDISC has developed industry
 -wide data standards enabling the harmonization of clinical data and strea
 mlining research processes from protocol (study plan) through analysis and
  reporting. In December 2013\, the Therapeutic Area Data Standards User Gu
 ide (TAUG) for Asthma was released in order to improve standardization of 
 Asthma studies.&nbsp\;The TAUG&nbsp\;describes the most common data needed
  for asthma studies\, so that those handling the data (e.g.\, data manager
 s\, statisticians\, programmers) understand the data and can apply standar
 ds appropriately. Descriptions include the clinical situations from which 
 the data arise and the reasons these data are relevant for asthma. The TAU
 G also strives to define research concepts unambiguously\, so that consist
 ent terminology can be used in asthma studies to enable aggregation and co
 mparison of data across studies and drug programs. This presentation provi
 des an overview of the information that exists within the standard along w
 ith a couple of specific examples\, with the objective being to show that 
 the data standards work produced by CDISC should be of interest and of use
  to study statisticians working within the asthma therapeutic area. Paul T
 errill  Paul Terrill is a Consultant Statistician working for CROS NT\,&nb
 sp\;an international Contract Research Organization specialized in clinica
 l data services. Paul started his career&nbsp\;working as a statistician i
 n the agrochemical industry at Jealott&rsquo\;s Hill\, Berkshire before be
 coming a statistical trainer for SAS. He moved into the pharmaceutical ind
 ustry in 2005 and primarily provides support to biotech and small pharmace
 utical companies who lack in-house statistical expertise. In addition to p
 roviding advice on study design\, &nbsp\;analysis and interpretation he is
  involved in a team responsible for developing and governing standards tha
 t apply to clinical trial datasets.&nbsp\; Paul holds a BSc in Applied Mat
 hematics and Statistics from the University of Wales\, Aberystwyth and a P
 hD in Statistics from the University of Kent\, Canterbury  Reflections on 
 the methodological issues associated with the CHMP guideline on the evalua
 tion of medicinal products for treatment of bacterial infections (CPMP/EWP
 /558/95 rev 2)  \nAbstract:&nbsp\;This talk will focus on the methodologic
 al issues associated with the bacterial infections guideline. In particula
 r the design of non-inferiority studies including defining an appropriate 
 non-inferiority margin. Also alternative study designs that might be used 
 when it is not feasible to conduct at least one adequately powered randomi
 sed controlled clinical trial will be discussed Dr David Wright (MHRA) Dr 
 David Wright&nbsp\;has worked at the MHRA for 15 years and is an Expert St
 atistical Assessor and Deputy Manager of the Statistics and Pharmacokineti
 cs Unit. He coordinated MHRA scientific advice for over 5 years and is now
  the Chair of the review committee that approves advice letters. He is the
  chair of the CHMP&nbsp\; Biostatistics Working Party . David writes asses
 sment reports on methodological aspects of licensing applications for CHM 
 and CHMP\, advises companies on methodological aspects of their clinical d
 evelopment programme via national and CHMP scientific advice\, and is invo
 lved in writing methodological guidelines for CHMP. Before joining the MHR
 A David was a Lecturer in Medical Statistics at University College London.
   Clinical trial design and analyses considerations for the clinical devel
 opment of a molecularly target agent (AZD9291) for patients with advanced 
 NSCLC Abstract:&nbsp\;Non-Small Cell Lung Cancer is estimated to be the mo
 st common cause of death from cancer worldwide. Molecularly targeted agent
 s are an important area of clinical research for the development of therap
 ies appropriate to treat these patients. AZD9291 is a highly selected mole
 cularly targeted therapy which is currently in clinical development. The t
 alk will cover the design of the clinical programme for AZD9291 to meet th
 e specific area of unmet medical in this field\, focusing on phase II stud
 ies with registration intent and including the analyses considerations for
  the evaluation of clinical benefit in this setting Rachael Lawrance (AZ) 
  \nI am currently a Principal Statistician at AstraZeneca leading sta AZD9
 291 which is in late-stage clinical development in advanced NSCLC. I have 
 worked on the design and the analyses of studies with registration intent 
 for a molecularly targeted indication (EGFR T790M resistance mutation). I 
 have worked various oncology and respiratory projects in different stages 
 of clinical development (including IRESSA for treatment of NSCLC\, and a p
 hase II programme in rheumatoid arthritis). Prior to working in clinical d
 evelopment I worked as a statistical geneticist on various projects\, incl
 uding Symbicort (COPD)  Respiratory Device Development and the PBE method 
 Abstract:&nbsp\;The development of a respiratory device is a challenging a
 nd dynamic process.&nbsp\; In-vitro assessments are typically performed wi
 thin the Pharmaceutical arena to evaluate the impact of device changes dur
 ing development.&nbsp\;&nbsp\; Regulatory bodies recommend a number of sta
 tistical tests to assess such changes\, including the population bioequiva
 lence (PBE) method.&nbsp\; The purpose of this talk is to give a brief ove
 rview of the development of a respiratory device\, and to share some of th
 e recent statistical debates ongoing about the PBE method. Misbah Ahmed (G
 SK)   Misbah Ahmed is a statistician at GlaxoSmithKline\, currently based 
 in Stevenage.&nbsp\; She joined GSK in 2009 after completing her MSc in St
 atistics at UCL.&nbsp\; She has spent the majority of her career at GSK su
 pporting the CMC (Chemistry\, Manufacturing and Control) aspects of regula
 tory dossiers within the Respiratory therapeutic area\, including inhaled 
 products recently launched by GSK.&nbsp\; She now supports early phase cli
 nical trials\, currently working on proof of concept studies in COPD\, foc
 using on the statistical modelling of novel correlated endpoints measured 
 through imaging techniques.  Clinical Development Challenges in Idiopathic
  Pulmonary Fibrosis Abstract:&nbsp\;Idiopathic Pulmonary Fibrosis (IPF) is
  a severe\, debilitating disease with a prognosis worse than most forms of
  cancer. Despite recently approved therapies an unmet need still exists. D
 evelopment of clinical study designs in the rapidly changing landscape of 
 IPF has been dynamic in the extreme.&nbsp\; Switching between monotherapy 
 and combination treatments\, from very early readouts on PD markers to fut
 ility interims on "halfway" endpoints\, from positive risk taking via borr
 owing data to old school conservatism\, an IPF statistician's life is...in
 teresting.&nbsp\; By discussing the disease related considerations and des
 ign challenges\, we aim to give a picture of the evolving treatment paradi
 gm for IPF Andy Kenwright (Roche)  Andy has been a statistician in the ind
 ustry for 22 years\, starting in pre-clinical and moving through the CRO w
 orld to become head of stats at two small CROs in Norfolk &amp\; Newcastle
  where he dabbled in medical writing and PK analysis also. He joined Roche
  in 2008. Since then he has helped bring treatment to children with unmet 
 need in severe forms of rheumatoid arthritis and become a specialist in pe
 diatric clinical development. He has taken the lead on clinical developmen
 t programs in osteo and rheumatoid arthritidies\, pulmonary fibrosis and i
 nfluenza at Roche and is too busy with work and children to have interesti
 ng hobbies anymore &nbsp\;  &nbsp\; Statistical Analysis in the UBIOPRED C
 onsortium Abstract:&nbsp\;U-BIOPRED (Ubiased BIOmarkers in PREDiction of r
 espiratory disease outcomes) is a research project using information and s
 amples from adults and children\, to learn about different types of asthma
  and to ensure better diagnosis and treatment for each person.&nbsp\; A co
 nsortium of pharmaceutical companies\, biotechnology companies\, hospitals
  and universities\, drawn from Europe and North America\, joined forces in
  this Innovative Medicines Initiative.&nbsp\; There were a total of 1025 s
 tudy participants\, representing the spectrum of health to severe asthma\,
  across all ages.&nbsp\; Detailed health-assessment and questionnaire data
  were gathered\, together with blood\, sputum\, urine and lung-biopsy samp
 les\, with the aim of stratifying the disease and obtaining predictive bio
 markers.&nbsp\; Aruna will discuss some of the key statistical issues enco
 untered in this endeavour\, and describe how they were addressed. Aruna   
 Aruna has an MSc in statistics and a PhD in biostatistics.&nbsp\; She star
 ted her career working as a lecturer in the USA\, before returning to the 
 UK to work in biotech\, then the pharmaceutical industry.&nbsp\; She now w
 orks as a consultant biostatistician\, and her many roles include that of 
 Chief Statistician for the UBIOPRED Consortium. 
DTEND:20151113T103000Z
DTSTAMP:20261013T163849Z
DTSTART:20151113T093000Z
LOCATION:
SEQUENCE:0
SUMMARY:PSI Respiratory One Day Meeting
UID:RFCALITEM639275063299763878
X-ALT-DESC;FMTTYPE=text/html:<h2>PSI One Day Meeting: The Innovative\, Chal
 lenging and Diversified World of Respiratory Disease</h2> <p>During this o
 ne day meeting\, PSI aims to cover a wide range of respiratory diseases an
 d design considerations when working in this therapeutic area. We hope tha
 t sharing between different areas\; will stimulate interesting discussion 
 and an opportunity to knowledge share.</p> <table border="1" cellspacing="
 0" cellpadding="0" class="PSI-default-table"> <tbody> <tr class="PSI-defau
 lt-tableTableEvenRow"> <td style="width: 100px\;" class="PSI-default-table
 TableFirstCol"> <p>8.45 -9.10</p> </td> <td class="PSI-default-tableTableL
 astCol"> <p>Registration and Coffee</p> </td> </tr> <tr class="PSI-default
 -tableTableOddRow"> <td style="width: 100px\;" class="PSI-default-tableTab
 leFirstCol"> <p>9.10 &ndash\; 9.15</p> </td> <td class="PSI-default-tableT
 ableLastCol"> <p>Welcome and Introduction</p> </td> </tr> <tr class="PSI-d
 efault-tableTableEvenRow"> <td style="width: 100px\;" class="PSI-default-t
 ableTableFirstCol"> <p>9.15 &ndash\; 10.00</p> </td> <td class="PSI-defaul
 t-tableTableLastCol"> <p><strong>Respiratory diseases\, where we are and w
 here we want to be in clinical science and medicines development: unmet ne
 eds\, challenges and opportunities<br /> <br /> <br /> </strong></p> </td>
  </tr> <tr class="PSI-default-tableTableOddRow"> <td style="width: 100px\;
 " class="PSI-default-tableTableFirstCol"> <p>&nbsp\;</p> </td> <td class="
 PSI-default-tableTableLastCol"> <p><em>Janusz Kaminski (Roche)</em></p> </
 td> </tr> <tr class="PSI-default-tableTableEvenRow"> <td style="width: 100
 px\;" class="PSI-default-tableTableFirstCol"> <p>10.00 &ndash\; 10.45</p> 
 </td> <td class="PSI-default-tableTableLastCol"> <p><strong>Statistical in
 put into improving data quality: the impact on respiratory endpoints in a 
 COPD trial<br /> <br /> <br /> </strong></p> </td> </tr> <tr class="PSI-de
 fault-tableTableOddRow"> <td style="width: 100px\;" class="PSI-default-tab
 leTableFirstCol"> <p>&nbsp\;</p> </td> <td class="PSI-default-tableTableLa
 stCol"> <p>Abigail Fuller &amp\; Nick Cowans (Veramed)</p> </td> </tr> <tr
  class="PSI-default-tableTableEvenRow"> <td style="width: 100px\;" class="
 PSI-default-tableTableFirstCol"> <p>10.45 &ndash\; 11.00</p> </td> <td cla
 ss="PSI-default-tableTableLastCol"> <p>Coffee</p> </td> </tr> <tr class="P
 SI-default-tableTableOddRow"> <td style="width: 100px\;" class="PSI-defaul
 t-tableTableFirstCol"> <p>11.00 &ndash\; 11.45</p> </td> <td class="PSI-de
 fault-tableTableLastCol"> <p><strong>CDISC Asthma Therapeutic Area Data St
 andards User Guide - Yes\, it is interesting!<br /> <br /> <br /> </strong
 ></p> </td> </tr> <tr class="PSI-default-tableTableEvenRow"> <td style="wi
 dth: 100px\;" class="PSI-default-tableTableFirstCol"> <p>&nbsp\;</p> </td>
  <td class="PSI-default-tableTableLastCol"> <p><em>Paul Terrill (CROSNT)</
 em></p> </td> </tr> <tr class="PSI-default-tableTableOddRow"> <td style="w
 idth: 100px\;" class="PSI-default-tableTableFirstCol"> <p>11.45 &ndash\; 1
 2.30</p> </td> <td class="PSI-default-tableTableLastCol"> <p><strong>Refle
 ctions on the methodological issues associated with the CHMP guideline on 
 the evaluation of medicinal products for treatment of bacterial infections
  (CPMP/EWP/558/95 rev 2)<br /> <br /> <br /> </strong></p> </td> </tr> <tr
  class="PSI-default-tableTableEvenRow"> <td style="width: 100px\;" class="
 PSI-default-tableTableFirstCol"> <p>&nbsp\;</p> </td> <td class="PSI-defau
 lt-tableTableLastCol"> <p><em>Dr David Wright (MHRA)</em></p> </td> </tr> 
 <tr class="PSI-default-tableTableOddRow"> <td style="width: 100px\;" class
 ="PSI-default-tableTableFirstCol"> <p>12.30 &ndash\; 1.30</p> </td> <td cl
 ass="PSI-default-tableTableLastCol"> <p>Lunch</p> </td> </tr> <tr class="P
 SI-default-tableTableEvenRow"> <td style="width: 100px\;" class="PSI-defau
 lt-tableTableFirstCol"> <p>1.30- 2.15</p> </td> <td class="PSI-default-tab
 leTableLastCol"> <p><strong>Clinical trial design and analyses considerati
 ons for the clinical development of a molecularly target agent (AZD9291) f
 or patients with advanced NSCLC<br /> <br /> <br /> </strong></p> </td> </
 tr> <tr class="PSI-default-tableTableOddRow"> <td style="width: 100px\;" c
 lass="PSI-default-tableTableFirstCol"> <p>&nbsp\;</p> </td> <td class="PSI
 -default-tableTableLastCol"> <p><em>Rachael Lawrance (AZ)</em></p> </td> <
 /tr> <tr class="PSI-default-tableTableEvenRow"> <td style="width: 100px\;"
  class="PSI-default-tableTableFirstCol"> <p>2.15 &ndash\; 3.00</p> </td> <
 td class="PSI-default-tableTableLastCol"> <p><strong>Respiratory Device De
 velopment and the PBE method</strong></p> </td> </tr> <tr class="PSI-defau
 lt-tableTableOddRow"> <td style="width: 100px\;" class="PSI-default-tableT
 ableFirstCol"> <p>&nbsp\;</p> </td> <td class="PSI-default-tableTableLastC
 ol"> <p><em>Misbah Ahmed (GSK)</em></p> </td> </tr> <tr class="PSI-default
 -tableTableEvenRow"> <td style="width: 100px\;" class="PSI-default-tableTa
 bleFirstCol"> <p>3.00 &ndash\; 3.20</p> </td> <td class="PSI-default-table
 TableLastCol"> <p>Coffee</p> </td> </tr> <tr class="PSI-default-tableTable
 OddRow"> <td style="width: 100px\;" class="PSI-default-tableTableFirstCol"
 > <p>3.20 &ndash\; 4.05</p> </td> <td class="PSI-default-tableTableLastCol
 "> <p><strong>Clinical Development Challenges in Idiopathic Pulmonary Fibr
 osis<br /> <br /> <br /> </strong></p> </td> </tr> <tr class="PSI-default-
 tableTableEvenRow"> <td style="width: 100px\;" class="PSI-default-tableTab
 leFirstCol"> <p>&nbsp\;</p> </td> <td class="PSI-default-tableTableLastCol
 "> <p><em>Andy Kenwright (Roche)</em></p> </td> </tr> <tr class="PSI-defau
 lt-tableTableOddRow"> <td style="width: 100px\;" class="PSI-default-tableT
 ableFirstCol"> <p>4.05 &ndash\; 4.50</p> </td> <td class="PSI-default-tabl
 eTableLastCol"> <p><strong>Statistical Analysis in the UBIOPRED Consortium
 </strong></p> </td> </tr> <tr class="PSI-default-tableTableEvenRow"> <td s
 tyle="width: 100px\;" class="PSI-default-tableTableFirstCol"> <p>&nbsp\;</
 p> </td> <td class="PSI-default-tableTableLastCol"> <p><em>Aruna Bansal (U
 -BIOPRED)</em></p> </td> </tr> <tr class="PSI-default-tableTableOddRow"> <
 td style="width: 100px\;" class="PSI-default-tableTableFirstCol"> <p>4.50 
 &ndash\; 5.00</p> </td> <td class="PSI-default-tableTableLastCol"> <p>Disc
 ussion and Close</p> </td> </tr> </tbody> </table> <p><strong>Respiratory 
 diseases\, where we are and where we want to be in clinical science and me
 dicines development: unmet needs\, challenges and opportunities</strong></
 p> <p><strong>Abstract</strong><strong>:</strong>&nbsp\;A brief overview o
 f respiratory diseases\, with a more detailed characteristics of selected 
 indications (focusing on asthma\, COPD and IPF) will be given at the start
  of the presentation. An overview of unmet needs and challenges in overcom
 ing them\, both from the clinical and the medicines development points of 
 view\, will follow. Some of the challenges are disease specific while some
  of them are relevant across indications\, if not beyond the area of respi
 ratory\, which will be reflected in the talk. An overview of "where we are
  and where we want to be" for the discussed indications\, and respiratory 
 medicine\, will follow.&nbsp\;&nbsp\;&nbsp\;</p> <p><strong>Janusz Kaminsk
 i (Roche)</strong></p> <p><span data-sfref="[images|OpenAccessDataProvider
 |tmb:small]9c76b5ff-3ad6-65b3-a176-ff00001f6b97" class="sfImageWrapper"><i
 mg src="https://psiweb.org/images/default-source/default-album/img_0012-30
 -(2).tmb-thumbnail.jpg?Culture=en&sfvrsn=50a0d0db_1&sf_site_temp=true&sf_s
 ite=00000000-0000-0000-0000-000000000000" displaymode="Thumbnail" alt="IMG
 _0012-30 (2)" title="IMG_0012-30 (2)" /><span data-sfref="[images|OpenAcce
 ssDataProvider|tmb:small]9c76b5ff-3ad6-65b3-a176-ff00001f6b97" class="sfIm
 ageWrapper"></span></span></p> <p>Associate Group Clinical Director\, Prod
 uct Development Immunology\, Infectious Diseases and Ophthalmology (PD I2O
 )\, Welwyn Garden City. Janusz is a physician with approximately 20 years 
 of professional experience spanning careers in academia\, clinical medicin
 e and pharmaceutical industry.</p> <hr /> <p><strong style="line-height: 1
 .5\;">Statistical input into improving data quality: the impact on respira
 tory endpoints in a COPD trial</strong></p> <p><strong>Abstract</strong><s
 trong>:</strong>&nbsp\;Large\, global late phase studies often involve hug
 e amounts of data of varying quality. Data frequently needs cleaning up pr
 ior to locking the database\, a responsibility typically lying with data m
 anagement. The ability to look at multiple extracts of data while the stud
 y is ongoing and blinded has enabled us to develop novel methods for incre
 asing the confidence in data quality.</p> <p>In COPD trials\, outcomes suc
 h as rate of decline of FEV1 can be heavily influenced by outliers. Lookin
 g at these in a visual way emphasises the importance of ensuring that thes
 e outliers are genuine data points. Similarly\, when rates of respiratory 
 tract exacerbations are an endpoint\, recording duplicate or overlapping e
 vents will alter results. Prior to this work clinicians would spend time l
 ooking through vast amounts of data. This talk will present a variety of P
 atient Profile review tools that has made clinical review a quick and easy
  process stressing the importance of these data on our endpoints. We attem
 pt to assess the value of statistical input on the data management process
 es.<strong><em><br /> </em></strong></p> <p><strong>Nick Cowans (Veramed)<
 em><br /> <br /> <img alt="" style="top: 2629px\; width: 108px\; height: 1
 17px\;" src="https://members.psiweb.org/images/psi2.jpg" /></em></strong><
 /p> <p>Nick has been working as a Statistician at Veramed since September 
 2013\, where he has been primarily involved in a large Phase IIIb clinical
  trial. During this time he has developed his skills in R and SAS programm
 ing as well as his knowledge in the respiratory therapeutic area. Nick has
  9 years&rsquo\; experience as a research assistant within a group focused
  on developments in prenatal screening.&nbsp\; During this time he develop
 ed strong statistical skills to build upon his biochemistry and pharmacolo
 gy background.&nbsp\; He was able to acquire experience and expertise in s
 tatistical analysis\, report writing and communication of data through pub
 lished papers and presentations at conferences and meetings. Nick holds an
  MSc in Statistics (University of Sheffield)\, an MSc in Pharmacology (Kin
 gs College London) and a BSc in Biochemistry (Imperial College London).</p
 > <p><strong>Abigail Fuller (Veramed)<em><br /> <br /> <img alt="" style="
 top: 3209px\; width: 108px\; height: 100px\;" src="https://members.psiweb.
 org/images/psi3.png" /></em></strong></p> <p>Since November 2012\, Abby ha
 s been working as a Statistician at Veramed\, where she has been primarily
  involved in a large\, global Phase IIIb clinical study. During this time 
 she has developed her skills in SAS programming\, applying statistical met
 hods\, RAP writing and study management\, as well as her knowledge in the 
 respiratory therapeutic area. She gained an interest in the industry after
  completing a placement year working at Amgen in Oncology and went on to s
 tudy an MSc in Statistics with Applications in Medicine (University of Sou
 thampton) after completing her BSc in Mathematics and its Applications (Ca
 rdiff University). She is a SAS Certified Base Programmer (SAS Institute)<
 /p> <hr /> <p><strong style="line-height: 1.5\;">CDISC Asthma Therapeutic 
 Area Data Standards User Guide - Yes\, it is interesting!</strong></p> <p>
 <strong>Abstract:&nbsp\;</strong>CDISC has developed industry-wide data st
 andards enabling the harmonization of clinical data and streamlining resea
 rch processes from protocol (study plan) through analysis and reporting. I
 n December 2013\, the Therapeutic Area Data Standards User Guide (TAUG) fo
 r Asthma was released in order to improve standardization of Asthma studie
 s.&nbsp\;The TAUG&nbsp\;describes the most common data needed for asthma s
 tudies\, so that those handling the data (e.g.\, data managers\, statistic
 ians\, programmers) understand the data and can apply standards appropriat
 ely. Descriptions include the clinical situations from which the data aris
 e and the reasons these data are relevant for asthma. The TAUG also strive
 s to define research concepts unambiguously\, so that consistent terminolo
 gy can be used in asthma studies to enable aggregation and comparison of d
 ata across studies and drug programs.</p> <p>This presentation provides an
  overview of the information that exists within the standard along with a 
 couple of specific examples\, with the objective being to show that the da
 ta standards work produced by CDISC should be of interest and of use to st
 udy statisticians working within the asthma therapeutic area.</p> <p><stro
 ng>Paul Terrill</strong></p> <p><strong><em><img alt="" style="top: 4006px
 \; width: 106px\; height: 140px\;" src="https://members.psiweb.org/images/
 psi4.jpg" /></em></strong></p> <p>Paul Terrill is a Consultant Statisticia
 n working for CROS NT\,&nbsp\;an international Contract Research Organizat
 ion specialized in clinical data services. Paul started his career&nbsp\;w
 orking as a statistician in the agrochemical industry at Jealott&rsquo\;s 
 Hill\, Berkshire before becoming a statistical trainer for SAS. He moved i
 nto the pharmaceutical industry in 2005 and primarily provides support to 
 biotech and small pharmaceutical companies who lack in-house statistical e
 xpertise. In addition to providing advice on study design\, &nbsp\;analysi
 s and interpretation he is involved in a team responsible for developing a
 nd governing standards that apply to clinical trial datasets.&nbsp\;</p> <
 p>Paul holds a BSc in Applied Mathematics and Statistics from the Universi
 ty of Wales\, Aberystwyth and a PhD in Statistics from the University of K
 ent\, Canterbury</p> <hr /> <p><strong style="line-height: 1.5\;">Reflecti
 ons on the methodological issues associated with the CHMP guideline on the
  evaluation of medicinal products for treatment of bacterial infections (C
 PMP/EWP/558/95 rev 2)</strong></p> <p><strong> <br />\nAbstract</strong><s
 trong>:</strong>&nbsp\;This talk will focus on the methodological issues a
 ssociated with the bacterial infections guideline. In particular the desig
 n of non-inferiority studies including defining an appropriate non-inferio
 rity margin. Also alternative study designs that might be used when it is 
 not feasible to conduct at least one adequately powered randomised control
 led clinical trial will be discussed</p> <p><strong>Dr David Wright (MHRA)
 </strong></p> <p>Dr David Wright&nbsp\;has worked at the MHRA for 15 years
  and is an Expert Statistical Assessor and Deputy Manager of the Statistic
 s and Pharmacokinetics Unit. He coordinated MHRA scientific advice for ove
 r 5 years and is now the Chair of the review committee that approves advic
 e letters. He is the chair of the CHMP&nbsp\; Biostatistics Working Party 
 . David writes assessment reports on methodological aspects of licensing a
 pplications for CHM and CHMP\, advises companies on methodological aspects
  of their clinical development programme via national and CHMP scientific 
 advice\, and is involved in writing methodological guidelines for CHMP. Be
 fore joining the MHRA David was a Lecturer in Medical Statistics at Univer
 sity College London.</p> <hr /> <p><strong style="line-height: 1.5\;">Clin
 ical trial design and analyses considerations for the clinical development
  of a molecularly target agent (AZD9291) for patients with advanced NSCLC<
 /strong></p> <p><strong>Abstract</strong><strong>:</strong>&nbsp\;Non-Smal
 l Cell Lung Cancer is estimated to be the most common cause of death from 
 cancer worldwide. Molecularly targeted agents are an important area of cli
 nical research for the development of therapies appropriate to treat these
  patients. AZD9291 is a highly selected molecularly targeted therapy which
  is currently in clinical development. The talk will cover the design of t
 he clinical programme for AZD9291 to meet the specific area of unmet medic
 al in this field\, focusing on phase II studies with registration intent a
 nd including the analyses considerations for the evaluation of clinical be
 nefit in this setting</p> <p><strong>Rachael Lawrance (AZ)</strong></p> <p
 ><img alt="" style="width: 85px\; height: 116px\;" src="https://members.ps
 iweb.org/images/psi5.jpg" /><br /> <br />\nI am currently a Principal Stat
 istician at AstraZeneca leading sta AZD9291 which is in late-stage clinica
 l development in advanced NSCLC. I have worked on the design and the analy
 ses of studies with registration intent for a molecularly targeted indicat
 ion (EGFR T790M resistance mutation). I have worked various oncology and r
 espiratory projects in different stages of clinical development (including
  IRESSA for treatment of NSCLC\, and a phase II programme in rheumatoid ar
 thritis). Prior to working in clinical development I worked as a statistic
 al geneticist on various projects\, including Symbicort (COPD)</p> <hr /> 
 <p><strong style="line-height: 1.5\;">Respiratory Device Development and t
 he PBE method</strong></p> <p><strong>Abstract</strong><strong>:</strong>&
 nbsp\;The development of a respiratory device is a challenging and dynamic
  process.&nbsp\; In-vitro assessments are typically performed within the P
 harmaceutical arena to evaluate the impact of device changes during develo
 pment.&nbsp\;&nbsp\; Regulatory bodies recommend a number of statistical t
 ests to assess such changes\, including the population bioequivalence (PBE
 ) method.&nbsp\; The purpose of this talk is to give a brief overview of t
 he development of a respiratory device\, and to share some of the recent s
 tatistical debates ongoing about the PBE method.</p> <p><strong>Misbah Ahm
 ed (GSK)</strong><br /> <br /> <img alt="" style="width: 83px\; height: 10
 6px\;" src="https://members.psiweb.org/images/psi6.jpg" /></p> <p>Misbah A
 hmed is a statistician at GlaxoSmithKline\, currently based in Stevenage.&
 nbsp\; She joined GSK in 2009 after completing her MSc in Statistics at UC
 L.&nbsp\; She has spent the majority of her career at GSK supporting the C
 MC (Chemistry\, Manufacturing and Control) aspects of regulatory dossiers 
 within the Respiratory therapeutic area\, including inhaled products recen
 tly launched by GSK.&nbsp\; She now supports early phase clinical trials\,
  currently working on proof of concept studies in COPD\, focusing on the s
 tatistical modelling of novel correlated endpoints measured through imagin
 g techniques.</p> <hr /> <p><strong style="line-height: 1.5\;">Clinical De
 velopment Challenges in Idiopathic Pulmonary Fibrosis</strong></p> <p><str
 ong>Abstract</strong><strong>:</strong>&nbsp\;Idiopathic Pulmonary Fibrosi
 s (IPF) is a severe\, debilitating disease with a prognosis worse than mos
 t forms of cancer. Despite recently approved therapies an unmet need still
  exists. Development of clinical study designs in the rapidly changing lan
 dscape of IPF has been dynamic in the extreme.&nbsp\; Switching between mo
 notherapy and combination treatments\, from very early readouts on PD mark
 ers to futility interims on "halfway" endpoints\, from positive risk takin
 g via borrowing data to old school conservatism\, an IPF statistician's li
 fe is...interesting.&nbsp\; By discussing the disease related consideratio
 ns and design challenges\, we aim to give a picture of the evolving treatm
 ent paradigm for IPF</p> <p><strong>Andy Kenwright (Roche)</strong></p> <p
 ><strong><em><img alt="" style="width: 87px\; height: 112px\;" src="https:
 //members.psiweb.org/images/psi7.jpg" /></em></strong></p> <p>Andy has bee
 n a statistician in the industry for 22 years\, starting in pre-clinical a
 nd moving through the CRO world to become head of stats at two small CROs 
 in Norfolk &amp\; Newcastle where he dabbled in medical writing and PK ana
 lysis also. He joined Roche in 2008. Since then he has helped bring treatm
 ent to children with unmet need in severe forms of rheumatoid arthritis an
 d become a specialist in pediatric clinical development. He has taken the 
 lead on clinical development programs in osteo and rheumatoid arthritidies
 \, pulmonary fibrosis and influenza at Roche and is too busy with work and
  children to have interesting hobbies anymore</p> <p>&nbsp\;</p> <hr /> <p
 >&nbsp\;</p> <p><strong>Statistical Analysis in the UBIOPRED Consortium</s
 trong></p> <p><strong>Abstract</strong><strong>:</strong>&nbsp\;U-BIOPRED 
 (Ubiased BIOmarkers in PREDiction of respiratory disease outcomes) is a re
 search project using information and samples from adults and children\, to
  learn about different types of asthma and to ensure better diagnosis and 
 treatment for each person.&nbsp\;</p> <p>A consortium of pharmaceutical co
 mpanies\, biotechnology companies\, hospitals and universities\, drawn fro
 m Europe and North America\, joined forces in this Innovative Medicines In
 itiative.&nbsp\; There were a total of 1025 study participants\, represent
 ing the spectrum of health to severe asthma\, across all ages.&nbsp\; Deta
 iled health-assessment and questionnaire data were gathered\, together wit
 h blood\, sputum\, urine and lung-biopsy samples\, with the aim of stratif
 ying the disease and obtaining predictive biomarkers.&nbsp\; Aruna will di
 scuss some of the key statistical issues encountered in this endeavour\, a
 nd describe how they were addressed.</p> <h4>Aruna</h4> <p><strong><em> <i
 mg alt="" style="width: 67px\; height: 79px\;" src="https://members.psiweb
 .org/images/psi8.jpg" /></em></strong></p> <p>Aruna has an MSc in statisti
 cs and a PhD in biostatistics.&nbsp\; She started her career working as a 
 lecturer in the USA\, before returning to the UK to work in biotech\, then
  the pharmaceutical industry.&nbsp\; She now works as a consultant biostat
 istician\, and her many roles include that of Chief Statistician for the U
 BIOPRED Consortium.</p> <h3></h3>
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