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DTSTART;VALUE=DATE:20250101
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DESCRIPTION:\n\n\n\n\n\n\n\n\n\nDate:&nbsp\;Monday 1st November - Tuesday 3
 0th November 2021 [set days]\nTime:&nbsp\;09:45 - 12:00 [on set session da
 ys]\nPresenter:&nbsp\;Andy Nicholls&nbsp\;(GSK)\nImportant:&nbsp\;Please n
 ote\, this is a 5-week virtual course.&nbsp\;\n\nWho is this event intende
 d for?&nbsp\;This interactive course is aimed at clinical trial statistici
 ans who are experienced with other software languages (such as SAS) and wo
 uld like to increase their proficiency in R. The content can also be appli
 ed more widely in a non-clinical trial context.\nWhat is the benefit of at
 tending?&nbsp\;Attendees will learn how to: understand data manipulation i
 n R\; produce R graphics with ggplot2\; and perform &amp\; interpret stati
 stical analyses in R.\nCourse cost\nNB: This course has Earlybird rates av
 ailable. These are valid for bookings on or before 17:00 on 1st October on
 ly.\nEarlybird&nbsp\;Members = &pound\;320+VAT\nEarlybird&nbsp\;Non-Member
 s = &pound\;445*+VAT\nRegular&nbsp\;Members = &pound\;360+VAT\nRegular&nbs
 p\;Non-Members = &pound\;485*+VAT\n*Please note:&nbsp\;Non-Member rates in
 clude membership for the rest of 2021\, and the entirety of the 2022 calen
 dar year.\n\nRegistration\n To book your space\, please&nbsp\;click here.\
 nPlease note: There are a limited number of places available for this cour
 se\, which are in high-demand. Before securing your place\, please ensure 
 you will be able to attend one of the sessions each week - dates can be fo
 und below.\nOverview\nThis course consists of 5 x 2-hour training sessions
  run over 5 weeks.\nEach session will be repeated on two mornings per week
  (09:45am &ndash\; 12:00pm)\, so attendees are able to pick which day they
  attend each week\, out of the dates provided.\n\nSession 1: Monday 1st No
 vember or Tuesday 2nd November\nSession 2: Monday 8th November or Tuesday 
 9th November\nSession 3: Monday 15th November or Tuesday 16th November\nSe
 ssion 4: Monday 22nd November or Tuesday23rd November\nSession 5: Monday 2
 9th November or Tuesday30th November\n\nR is quickly gaining popularity wi
 thin the pharmaceutical industry due to it being a very powerful object-or
 ientated language\, and is able to produce analyses and high quality graph
 ics. It can be used for high performance computing and allows easy integra
 tion with other software.\n\nThis course is aimed at clinical trial statis
 ticians who are experienced with other software languages (such as SAS) an
 d would like to increase their proficiency in R. The content can also be a
 pplied more widely in a non-clinical trial context.\n\nParticipation will 
 provide access to extensive course materials in the form of a &lsquo\;book
 down&rsquo\; site.&nbsp\; However\, this is designed as a hands-on\, inter
 active course.&nbsp\; Both you and the trainers will work entirely within 
 the RStudio Cloud development environment\, which will remain accessible b
 etween virtual sessions in order to further explore and cement your unders
 tanding.\n\nTopics covered include:\n\n1. Introduction to R and RStudio\n2
 . Data types and vectors\n3. Welcome to tidyverse\n4. Importing/exporting 
 data\n5. Handling data\n6. Piping\n7. Summaries and aggregation\n8. Settin
 g and merging\n9. Transposing data\n10. Introduction to statistical analys
 is in R\n11. R Graphics with ggplot2\n&nbsp\; &nbsp\; a. Layering\n&nbsp\;
  &nbsp\; b. Aesthetics and groups\n&nbsp\; &nbsp\; c. Graph types: geoms\n
 &nbsp\; &nbsp\; d. Panelling: faceting\n&nbsp\; &nbsp\; e. Themes and styl
 ing\n\nPlease click here&nbsp\;to view the flyer for this event.\n\n\n\nDi
 sclaimer\nPSI is a non-profit organisation run by volunteers. Many of the 
 event organisers and presenters donate their time\, while the majority of 
 the event registration cost is spent on administrative support\, venue ren
 tal / online conferencing\, travel costs for the presenter\, software lice
 nces\, and general running of the society. PSI strives to offer high quali
 ty courses\, but cannot offer a guarantee that the content presented is ac
 curate or fit for your particular needs. Please check if any software is r
 equired for this course and ensure you are able to run it prior to registe
 ring.\n\n\nCancellation and Moderation Terms\nFor cancellations received u
 p to two weeks prior to a PSI event start-date\, the event registration fe
 e will be refunded less 25% administrative charge. After this date\, no re
 funds will be possible. A handling fee of 20 GBP per registration will be 
 charged for every registration modification received two weeks prior or le
 ss\, including a delegate name change.
DTEND:20211101T120000Z
DTSTAMP:20260417T063441Z
DTSTART:20211101T094500Z
LOCATION:
SEQUENCE:0
SUMMARY:PSI Training Course: R for Clinical Trial Statisticians
UID:RFCALITEM639120044818391218
X-ALT-DESC;FMTTYPE=text/html:<img src="https://www.psiweb.org/images/defaul
 t-source/default-album/sponsored-by77adc2ff3ad665b3a176ff00001f6b97.png?sf
 vrsn=b27ba7db_0&amp\;sf_site_temp=true&amp\;sf_site=00000000-0000-0000-000
 0-000000000000&amp\;MaxWidth=300&amp\;MaxHeight=&amp\;ScaleUp=false&amp\;Q
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 sizemethodproperties="{'MaxWidth':'300'\,'MaxHeight':''\,'ScaleUp':false\,
 'Quality':'High'}" data-displaymode="Custom" alt="Sponsored by" title="Spo
 nsored by" style="float: right\;" /><br />\n<br />\n<br />\n<br />\n<br />
 \n<br />\n<br />\n<br />\n<br />\n<br />\n<strong>Date:</strong>&nbsp\;Mon
 day 1st November - Tuesday 30th November 2021 [set days]<br />\n<strong>Ti
 me:</strong>&nbsp\;09:45 - 12:00 [on set session days]<br />\n<strong>Pres
 enter:</strong>&nbsp\;Andy Nicholls&nbsp\;<em>(GSK)</em><br />\n<strong>Im
 portant:</strong>&nbsp\;Please note\, this is a 5-week virtual course.&nbs
 p\;<br />\n<br />\n<strong>Who is this event intended for?</strong>&nbsp\;
 This interactive course is aimed at clinical trial statisticians who are e
 xperienced with other software languages (such as SAS) and would like to i
 ncrease their proficiency in R. The content can also be applied more widel
 y in a non-clinical trial context.<br />\n<strong>What is the benefit of a
 ttending?</strong>&nbsp\;Attendees will learn how to: understand data mani
 pulation in R\; produce R graphics with ggplot2\; and perform &amp\; inter
 pret statistical analyses in R.<br />\n<h4>Course cost</h4>\n<p>NB: This c
 ourse has Earlybird rates available. These are valid for bookings on or be
 fore 17:00 on 1st October only.<br />\n<strong>Earlybird</strong>&nbsp\;Me
 mbers = &pound\;320+VAT<br />\n<strong>Earlybird&nbsp\;</strong>Non-Member
 s = &pound\;445*+VAT<br />\n<strong>Regular</strong>&nbsp\;Members = &poun
 d\;360+VAT<br />\n<strong>Regular&nbsp\;</strong>Non-Members = &pound\;485
 *+VAT<br />\n*<em>Please note:&nbsp\;Non-Member rates include membership f
 or the rest of 2021\, <strong>and</strong> the entirety of the 2022 calend
 ar year.<br />\n</em></p>\n<h4><em></em>Registration</h4>\n<p> To book you
 r space\, please&nbsp\;<strong><a href="https://psi.glueup.com/event/psi-t
 raining-course-r-for-clinical-trial-statisticians-trng259-42142/" target="
 _blank">click here</a></strong>.<br />\n<strong><em>Please note</em></stro
 ng><em>: There are a limited number of places available for this course\, 
 which are in high-demand. Before securing your place\, please ensure you w
 ill be able to attend one of the sessions each week - dates can be found b
 elow.</em></p>\n<h4><em></em>Overview</h4>\n<p><strong>This course consist
 s of 5 x 2-hour training sessions run over 5 weeks.<br />\nEach session wi
 ll be repeated on two mornings per week (09:45am &ndash\; 12:00pm)\, so at
 tendees are able to pick which day they attend each week\, out of the date
 s provided.</strong><br />\n<br />\n<span style="text-decoration: underlin
 e\;"><strong>Session 1</strong></span>: Monday 1st November <span style="t
 ext-decoration: underline\;"><strong>or</strong></span> Tuesday 2nd Novemb
 er<br />\n<strong><span style="text-decoration: underline\;">Session 2</sp
 an></strong>: Monday 8th November <strong><span style="text-decoration: un
 derline\;">or </span></strong>Tuesday 9th November<br />\n<strong><span st
 yle="text-decoration: underline\;">Session 3</span></strong>: Monday 15th 
 November <span style="text-decoration: underline\;"><strong>or</strong></s
 pan> Tuesday 16th November<br />\n<strong><span style="text-decoration: un
 derline\;">Session 4</span></strong>: Monday 22nd November <strong><span s
 tyle="text-decoration: underline\;">or</span></strong> Tuesday23rd Novembe
 r<br />\n<strong><span style="text-decoration: underline\;">Session 5</spa
 n></strong>: Monday 29th November <span style="text-decoration: underline\
 ;"><strong>or</strong></span> Tuesday30th November<br />\n<br />\nR is qui
 ckly gaining popularity within the pharmaceutical industry due to it being
  a very powerful object-orientated language\, and is able to produce analy
 ses and high quality graphics. It can be used for high performance computi
 ng and allows easy integration with other software.<br />\n<br />\nThis co
 urse is aimed at clinical trial statisticians who are experienced with oth
 er software languages (such as SAS) and would like to increase their profi
 ciency in R. The content can also be applied more widely in a non-clinical
  trial context.<br />\n<br />\nParticipation will provide access to extens
 ive course materials in the form of a &lsquo\;bookdown&rsquo\; site.&nbsp\
 ; However\, this is designed as a hands-on\, interactive course.&nbsp\; Bo
 th you and the trainers will work entirely within the RStudio Cloud develo
 pment environment\, which will remain accessible between virtual sessions 
 in order to further explore and cement your understanding.<br />\n<br />\n
 Topics covered include:<br />\n<br />\n1. Introduction to R and RStudio<br
  />\n2. Data types and vectors<br />\n3. Welcome to tidyverse<br />\n4. Im
 porting/exporting data<br />\n5. Handling data<br />\n6. Piping<br />\n7. 
 Summaries and aggregation<br />\n8. Setting and merging<br />\n9. Transpos
 ing data<br />\n10. Introduction to statistical analysis in R<br />\n11. R
  Graphics with ggplot2<br />\n&nbsp\; &nbsp\; a. Layering<br />\n&nbsp\; &
 nbsp\; b. Aesthetics and groups<br />\n&nbsp\; &nbsp\; c. Graph types: geo
 ms<br />\n&nbsp\; &nbsp\; d. Panelling: faceting<br />\n&nbsp\; &nbsp\; e.
  Themes and styling<br />\n<br />\nPlease <a href="https://www.psiweb.org/
 docs/default-source/default-document-library/r-flyer-nov-2021_final.pdf?sf
 vrsn=997ba7db_0&sf_site_temp=true&sf_site=00000000-0000-0000-0000-00000000
 0000" title="click here">click here</a>&nbsp\;to view the flyer for this e
 vent.<br />\n<br />\n<br />\n</p>\n<p><strong><span style="font-size: 10px
 \;">Disclaimer</span></strong><em><span style="font-size: 10px\;"><br />\n
 PSI is a non-profit organisation run by volunteers. Many of the event orga
 nisers and presenters donate their time\, while the majority of the event 
 registration cost is spent on administrative support\, venue rental / onli
 ne conferencing\, travel costs for the presenter\, software licences\, and
  general running of the society. PSI strives to offer high quality courses
 \, but cannot offer a guarantee that the content presented is accurate or 
 fit for your particular needs. Please check if any software is required fo
 r this course and ensure you are able to run it prior to registering.</spa
 n></em></p>\n<p>\n<br />\n<span style="font-size: 10px\;"><strong>Cancella
 tion and Moderation Terms</strong><br />\n<em>For cancellations received u
 p to two weeks prior to a PSI event start-date\, the event registration fe
 e will be refunded less 25% administrative charge. After this date\, no re
 funds will be possible. A handling fee of 20 GBP per registration will be 
 charged for every registration modification received two weeks prior or le
 ss\, including a delegate name change.</em></span></p>
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