BEGIN:VCALENDAR VERSION:2.0 METHOD:PUBLISH PRODID:-//Telerik Inc.//Sitefinity CMS 15.4//EN BEGIN:VTIMEZONE TZID:UTC BEGIN:STANDARD DTSTART;VALUE=DATE:20250101 TZNAME:UTC TZOFFSETFROM:+0000 TZOFFSETTO:+0000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DESCRIPTION:Date: Every Monday &\; Friday (weekly) from Monday 29th Janu ary - Friday 1st March 2024\nTime: Mondays 10:00-12:00 GMT | Fridays 10:00 -11:00 GMT\nLocation: \;Online via Zoom\nPresenters: \;Andrew Nich olls and Alanah Jonas \;(GSK)\n\nWho is this event intended for? \ ;This course is aimed at clinical trial statisticians who are experienced with other software languages (such as SAS) and would like to increase the ir proficiency in R. The content can also be applied more widely in a non- clinical trial context.\nWhat is the benefit of attending? \;Attendees will learn how to: understand data manipulation in R via the &ldquo\;Tidy verse&rdquo\;\; produce R graphics with ggplot2\; and perform &\; inter pret basic statistical analyses in R.\nSession Dates\n\n Main session: Monday 29th January | Drop-in Q&\;A session: Friday 2nd February\n M ain session: Monday 5th February | Drop-in Q&\;A session: Friday 9th Fe bruary\n Main session: Monday 12th February | Drop-in Q&\;A session: Friday 16th February\n Main session: Monday 19th February | Drop-in Q& amp\;A session: Friday 23rd February\n Main session: Monday 26th Februa ry | Drop-in Q&\;A session: Friday 1st March\n\nCost\nEarly Bird PSI Me mbers \;= £\;320+VAT\nEarly Bird Non-Members \;= £\;430* +VAT\n*Please note: Early Bird prices expire at 17:00 on Friday 22nd Decem ber.\n\nStandard PSI Members \;= £\;360+VAT\nStandard \;Non-M embers \;= £\;470*+VAT\n*Please note: \;Non-Member rates incl ude PSI membership until 31 Dec. 2024. \;\n\nRegistration\nTo register your place\, please click here. \;\n\nPlease note:-\n\n\n Back by popular demand\, this Course is a re-run from 2021. Places are therefore l imited\, and so we do kindly ask you to consider all dates &\; times be fore registering.\n For any delegate purchasing a Non-Member ticket: as the Non-Member ticket type is inclusive of PSI Membership through to 31 D ecember 2024\, please be advised that it is your individual responsibility to ensure that between registering for this event as a Non-Member\, and t he event itself\, you must not apply or pay for an individual membership o f PSI. Similarly\, it is your responsibility to ensure that you will not b e included in your company's group membership/renewal.\n Membership awa rded as part of the Non-Member registration fee is non-refundable\, and wi ll not be applied until after the first session.\n\nOverview\nR is quickly gaining popularity within the pharmaceutical industry due to it being a v ery powerful object-orientated language\, and is able to produce analyses and high quality graphics. It can be used for high performance computing a nd allows easy integration with other software.\n\nThis course is aimed at clinical trial statisticians who are experienced with other software lang uages (such as SAS) and would like to increase their proficiency in R. The content can also be applied more widely in a non-clinical trial context.\ n\nParticipation will provide access to extensive course materials in the form of a &lsquo\;bookdown&rsquo\; site. \; However\, this is designed as a hands-on\, interactive course. \; Both you and the trainers will work entirely within the RStudio Cloud development environment\, which wi ll remain accessible between virtual sessions in order to further explore and cement your understanding.\nTopics covered include: \n\n Introducti on to R and Rstudio\n Data types and vectors\n Welcome to tidyverse\ n Importing/exporting data\n Handling data\n Piping\n Summarie s and aggregation\n Setting and merging\n Transposing data\n Intr oduction to statistical analysis in R\n R graphics with ggplot2\n\nSpea ker details\n\n\n\n \n \n \n Speaker\n \n \n Biography\n \n \n \n \n \n Andrew Nicholls\n \n \n Andy Nicholls has been an R user and advocat e for over 15 years. He is currently Head of Data Science within GSK&rsquo \;s Biostatistics function and responsible for driving R adoption\, with a remit covering systems\, tools and training. As part of this role\, Andy developed GSK&rsquo\;s internal original world-wide R training programme w hich forms the backbone of this PSI course.\n Andy&rsquo\;s pro fessional background includes 6 years working for Mango Solutions\, a nich e Statistics and Data Science consultancy that specialised in R. During hi s time at Mango\, Andy taught several hundred face to face and virtual R t raining courses. And in 2015 he co-authored\, &ldquo\;R in 24 Hours&rdquo\ ; with two Mango colleagues. Andy has an MMath Mathematics from University of Bath and MSc Statistics with Applications in Medicine from University of Southampton.\n \n \n \n \n \n Alanah Jonas\n \n \n Ala nah attended the University of Nottingham\, where she earned her integrate d master&rsquo\;s degree in Mathematics with Statistics in 2018. Upon comp leting her degree\, she secured a graduate position at Amadeus Software. D uring her tenure there\, she underwent three months of intensive SAS train ing before being placed at GSK.\n Her journey at GSK began in t he Biostatistics department\, specifically in Clinical Programming. Over t he course of three years\, she honed her expertise in this specialized fie ld. She seized the opportunity for a secondment in the Statistical Data Sc ience and Innovation Hub\, serving as a Principal Data Scientist. During h er time at GSK\, Alanah has had first-hand experience in both delivering a nd participating in various R training methods. Most recently\, she has be en working on the AccelerateR initiative where she provides small group\, tailored\, just in time training for study teams with mentoring and suppor t.\n \n \n \n DTEND:20240301T110000Z DTSTAMP:20260517T061001Z DTSTART:20240129T100000Z LOCATION: SEQUENCE:0 SUMMARY:PSI Training Course: R for Clinical Trial Statisticians UID:RFCALITEM639145950013499061 X-ALT-DESC;FMTTYPE=text/html:Date: Every Monday &\; Fri day (weekly) from Monday 29th January - Friday 1st March 2024
\nTime: Mondays 10:00-12:00 GMT | Fridays 10:00-11:00 GMT
\ nLocation: \;Online via Zoom
\nPresenter s: \;Andrew Nicholls and Alanah Jonas \; (GSK)
\n
\nWho is this event intended for?  \;This course is aimed at clinical trial statisticians who are experienced with other software languages (such as SAS) and would like to increase th eir proficiency in R. The content can also be applied more widely in a non -clinical trial context.
\nWhat is the benefit of attending?< /strong> \;Attendees will learn how to: understand data manipulation i n R via the &ldquo\;Tidyverse&rdquo\;\; produce R graphics with ggplot2\; and perform &\; interpret basic statistical analyses in R.
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S ession Dates

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    \n
  1. Main session: Monday 29th January | Drop- in Q&\;A session: Friday 2nd February
    2. \n
  2. Main session: Monda y 5th February | Drop-in Q&\;A session: Friday 9th February
    3. \n < li>Main session: Monday 12th February | Drop-in Q&\;A session: Friday 1 6th February\n
  3. Main session: Monday 19th February | Drop-in Q& amp\;A session: Friday 23rd February
    4. \n
  4. Main session: Monday 26 th February | Drop-in Q&\;A session: Friday 1st March
    5. \n
\n

Cost

\n

Early Bird PSI Members \;= £\;320+ VAT
\nEarly Bird Non-Members \;= £\;430*+VA T
\n*Please note: Early Bird prices expire at 17:00 on Friday 22n d December.
\n
\nStandard PSI Members  \;= £\;360+VAT
\nStandard \;Non-Members&nbs p\;= £\;470*+VAT
\n*Please note: \;Non-Member rates incl ude PSI membership until 31 Dec. 2024. \;
\n

\n

Regist ration

\n

To register your place\, please click here. \;
\n
\nPlease note:-
\n

\n\n

Overview

\n

R is quickly gaining popularity within the pharmaceutical industry due to it being a very powe rful object-orientated language\, and is able to produce analyses and high quality graphics. It can be used for high performance computing and allow s easy integration with other software.
\n
\nThis course is aime d at clinical trial statisticians who are experienced with other software languages (such as SAS) and would like to increase their proficiency in R. The content can also be applied more widely in a non-clinical trial conte xt.
\n
\nParticipation will provide access to extensive course m aterials in the form of a &lsquo\;bookdown&rsquo\; site. \; However\, this is designed as a hands-on\, interactive course. \; Both you and t he trainers will work entirely within the RStudio Cloud development enviro nment\, which will remain accessible between virtual sessions in order to further explore and cement your understanding.

\n

Topics covered include:

\n
    \n
  1. Introduction to R and Rstudio
    2. \n
  2. Data types and vectors
    3. \n
  3. Welcome to tidyverse
    4. \n
  4. Importing/exporting data
    5. \n
  5. Handling data
    6. \n
  6. Piping
    7. \n
  7. Summaries and agg regation
    8. \n
  8. Setting and merging
    9. \n
  9. Transposing data< /li>\n
  10. Introduction to statistical analysis in R
    11. \n
  11. R gr aphics with ggplot2
    12. \n
\n

Speaker details

\n\n
\n\n \n \n \n \n \n \n \n \n

Andy Nicholls has b een an R user and advocate for over 15 years. He is currently Head of Data Science within GSK&rsquo\;s Biostatistics function and responsible for dr iving R adoption\, with a remit covering systems\, tools and training. As part of this role\, Andy developed GSK&rsquo\;s internal original world-wi de R training programme which forms the backbone of this PSI course.

\n

Andy&rsquo\;s professional background includes 6 years work ing for Mango Solutions\, a niche Statistics and Data Science consultancy that specialised in R. During his time at Mango\, Andy taught several hund red face to face and virtual R training courses. And in 2015 he co-authore d\, &ldquo\;R in 24 Hours&rdquo\; with two Mango colleagues. Andy has an M Math Mathematics from University of Bath and MSc Statistics with Applicati ons in Medicine from University of Southampton.

\n \n \n \n \n \n \n \n
\n

Speaker

\n 		\n

Biography

\n
\n

Andyedit
\n Andrew Nicholls

\n
\n

Alanahedit
\n Alanah Jonas

\n 		\n

Alanah attended the University of Nottingham \, where she earned her integrated master&rsquo\;s degree in Mathematics w ith Statistics in 2018. Upon completing her degree\, she secured a graduat e position at Amadeus Software. During her tenure there\, she underwent th ree months of intensive SAS training before being placed at GSK.

\n

Her journey at GSK began in the Biostatistics department\, spec ifically in Clinical Programming. Over the course of three years\, she hon ed her expertise in this specialized field. She seized the opportunity for a secondment in the Statistical Data Science and Innovation Hub\, serving as a Principal Data Scientist. During her time at GSK\, Alanah has had fi rst-hand experience in both delivering and participating in various R trai ning methods. Most recently\, she has been working on the AccelerateR init iative where she provides small group\, tailored\, just in time training f or study teams with mentoring and support.

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