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: Monday 14th March - Thursday 7th April 2022\nTime: Main s essions 10:00-12:00 GMT &\; Drop-in sessions 10:00-11:00 \;\nPlease note: This course runs over set dates and has some slight variations in t imings. Please refer below for further detail.\nSpeaker: Matt Neilson  \;(Phastar)\n\nWho is this event intended for? \;This course is aimed at statisticians who have experience of R and the tidyverse and would like to learn how to use the tidyverse to simulate clinical trials to evaluate the design and operating characteristics.\nWhat is the benefit of attendi ng? \;Attendees will have the chance to cover\; Monte Carlo simulation \, multivariate sampling\, model fitting\, power analysis\, parallelisatio n\, and data visualisation.\nCourse Cost\nThis course has early bird rates available\, which are applicable for registrations made before 17:00 GMT on Friday 11th February.\nEarly Bird Members = £\;320+VAT\nEarly Bird Non-Members = £\;445*+VAT\n\nRegular \;Members \;= £\;3 60+VAT\nRegular \;Non-Members \;= £\;485*+VAT\n*Please note:& nbsp\;Non-Member rates include PSI membership until 31 Dec. 2022.\n\nRegis tration\nTo book your space\, please \;click here.\nOverview\nIn this course\, we introduce a framework for clinical trial simulations that make s extensive use of the tidyverse collection of R packages. The course is p unctuated with real-world case studies that demonstrate the versatility of the framework\, and the relative ease with which it can be applied in pra ctice. The case studies will cover:\n&bull\; Assurance\n&bull\; Go/No-go d ecisions\n&bull\; Power comparisons\n&bull\; Count\, binary and time to ev ent endpoints\n&bull\; Censored data\n&bull\; Recurrent events\n\nPre-requ isites: Participants must have some experience in R\, in particular be fam iliar with writing simple functions and have experience of the tidyverse ( dplyr: using the pipe operator\, using mutate\, group_by\, select and filt er). Participants who are not experienced with the tidyverse should famili arise themselves with the dplyr cheatsheet on R Studio website: \;(see &ldquo\;Data transformation with dplyr cheatsheet&rdquo\;\, on https://ww w.rstudio.com/resources/cheatsheets/).\nDates &\; Times\nAll sessions w ill be run online via Zoom.\nMain presentation sessions:\nSession 1 \; - Monday 14th March\, 09:30-12:30 GMT\nSession 2 - Monday 21st March\, 10: 00-12:00 GMT\nSession 3 - Monday 28th March\, 10:00-12:00 BST*\nSession 4 - Monday 4th April\, 10:00-12:00 BST*\nDrop-in sessions:\nDrop-in Session 1 - Thursday 17th March\, 11:30-12:30 GMT\nDrop-in Session 2 - Thursday 24 th March\, 10:00-11:00 GMT\nDrop-in Session 3 - Thursday 31st March\, 10:0 0-11:00 BST*\nDrop-in Session 4 - Thursday 7th April\, 10:00-11:00 BST*\n* Please be advised: timings switch to British Summer Time (BST) on the 27th March.\n\n\nSpeaker details\n\n\n\n \n \n \n Speaker\n \n \n Biography\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Matt Neilson\n \n \n Matt Neilson entered the field of medical research i n 2008\, after obtaining his PhD in Mathematics from the University of Str athclyde. Following a two-year postdoc at the Health Economics and Health Technology Assessment group at the University of Glasgow\, Matt spent eigh t years providing mathematical and statistical support to preclinical rese archers as part of the core Computational Biology unit at the Beatson Inst itute for Cancer Research UK. Matt joined PHASTAR as a Senior Statistician in September 2021.\n \n \n \n\n\n\n\n\n\n\nDisclaime r\nPSI is a non-profit organisation run by volunteers. Many of the event o rganisers and presenters donate their time\, while the majority of the eve nt registration cost is spent on administrative support\, venue rental / o nline conferencing\, travel costs for the presenter\, software licences\, and general running of the society. PSI strives to offer high quality cour ses\, but cannot offer a guarantee that the content presented is accurate or fit for your particular needs. Please check if any software is required for this course and ensure you are able to run it prior to registering.\n \nCancellation and Moderation Terms\nFor cancellations received up to two weeks prior to a PSI event start-date\, the event registration fee will be refunded less 25% administrative charge. After this date\, no refunds wil l be possible. A handling fee of 20 GBP per registration will be charged f or every registration modification received two weeks prior or less\, incl uding a delegate name change.\n DTEND:20220407T120000Z DTSTAMP:20260608T171856Z DTSTART:20220314T083000Z LOCATION: SEQUENCE:0 SUMMARY:PSI Training Course: Simulation of Clinical Trials using Tidyverse UID:RFCALITEM639165359361194682 X-ALT-DESC;FMTTYPE=text/html:Date: Monday 14th March - Thu rsday 7th April 2022
\nTime: Main sessions 10:00-12: 00 GMT &\; Drop-in sessions 10:00-11:00 \;
\nPlease note: This course runs over set dates and has some slight variations in timings. Please refer below for further detail.
\nSpeaker: Matt Neilson \;(Phastar)
\n
\nWho is th is event intended for? \;This course is aimed at statistician s who have experience of R and the tidyverse and would like to learn how t o use the tidyverse to simulate clinical trials to evaluate the design and operating characteristics.
\nWhat is the benefit of attendin g? \;Attendees will have the chance to cover\; Monte Carlo si mulation\, multivariate sampling\, model fitting\, power analysis\, parall elisation\, and data visualisation.
\n

Course Cost

\n

This course has early bird rates available\, whic h are applicable for registrations made before 17:00 GMT on Friday 11th Fe bruary.
\nEarly Bird Members = £\;320+VA T
\nEarly Bird Non-Members = £\;445*+VAT
\ n
\nRegular \;Members \;= £\;360+VAT
\nRegular \;Non-Members \;= £\;485*+VAT\n*Please note: \;Non-Member rates include PSI membership unti l 31 Dec. 2022.
\n

\n

Registration

\n

To book your s pace\, please \;click here.

\n

Overview

\n

In thi s course\, we introduce a framework for clinical trial simulations that ma kes extensive use of the tidyverse collection of R packages. The course is punctuated with real-world case studies that demonstrate the versatility of the framework\, and the relative ease with which it can be applied in p ractice. The case studies will cover:
\n&bull\; Assurance
\n&bul l\; Go/No-go decisions
\n&bull\; Power comparisons
\n&bull\; Cou nt\, binary and time to event endpoints
\n&bull\; Censored data
\n&bull\; Recurrent events
\n
\nPre-requisites: Participants must have some experience in R\, in particu lar be familiar with writing simple functions and have experience of the t idyverse (dplyr: using the pipe operator\, using mutate\, group_by\, selec t and filter). Participants who are not experienced with the tidyverse sho uld familiarise themselves with the dplyr cheatsheet on R Studio website:& nbsp\;(see &ldquo\;Data transformation with dplyr cheatsheet&rdquo\;\, on h ttps://www.rstudio.com/resources/cheatsheets/).

\n

Dates &\; Times

\n

All sessions will be run online via Zoom.
\n< strong>Main presentation sessions:
\nSession 1 \ ;- Monday 14th March\, 09:30-12:30 GMT
\nSession 2 - Monday 21st March\, 10:00-12:00 GMT
\nSession 3 - Monday 28th March\, 10:00-12:00 BST*
\nSession 4 - Monday 4th April\, 10:00-12:00 BST*

\n

Drop-in session s:
\nDrop-in Session 1 - Thursday 17th Marc h\, 11:30-12:30 GMT
\nDrop-in Session 2 - Thursday 2 4th March\, 10:00-11:00 GMT
\nDrop-in Session 3 - Th ursday 31st March\, 10:00-11:00 BST*
\nDrop-in Session 4 - Thursday 7th April\, 10:00-11:00 BST*
\n*Please be advised : timings switch to British Summer Time (BST) on the 27th March.
\n\n

\n

Speaker details

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Speaker

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Biography

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\n Matt Neilson

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Matt Neilson ent ered the field of medical research in 2008\, after obtaining his PhD in Ma thematics from the University of Strathclyde. Following a two-year postdoc at the Health Economics and Health Technology Assessment group at the Uni versity of Glasgow\, Matt spent eight years providing mathematical and sta tistical support to preclinical researchers as part of the core Computatio nal Biology unit at the Beatson Institute for Cancer Research UK. Matt joi ned PHASTAR as a Senior Statistician in September 2021.

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\nDisclaimer
\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.
\n
\nCancellation and Moderation Terms
\nFor cancellations received up to two weeks prior to a PSI event start-date\, the event regis tration fee will be refunded less 25% administrative charge. After this da te\, no refunds will be possible. A handling fee of 20 GBP per registratio n will be charged for every registration modification received two weeks p rior or less\, including a delegate name change.
\n< /em>

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