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BEGIN:STANDARD
DTSTART;VALUE=DATE:20230101
TZNAME:UTC
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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:20240328T194811Z
DTSTART:20220314T083000Z
LOCATION:
SEQUENCE:0
SUMMARY:PSI Training Course: Simulation of Clinical Trials using Tidyverse
UID:RFCALITEM638472520917376823
X-ALT-DESC;FMTTYPE=text/html:Date: Monday 14th March - Thu
rsday 7th April 2022 This course has early bird rates available\, whic
h are applicable for registrations made before 17:00 GMT on Friday 11th Fe
bruary. To book your s
pace\, please \;click here. 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: All sessions will be run online via Zoom.
\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.
\nCourse Cost
\n
\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.
\nRegistration
\nOverview
\n
\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/).Dates &\;
Times
\n
\n<
strong>Main presentation sessions:
\n
\nSession 2
strong> - 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*
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 \n < /td>\n | \n Biography \n | \n
\n <
p> \n \n \n \n \n \n \n \n \n \n Matt Neilson\n | \n
\n
\n
\n
\
n
\n
\nDisclaimer
\nPSI
is a non-profit organisation run by volunteers. Many of the event organis
ers and presenters donate their time\, while the majority of the event reg
istration cost is spent on administrative support\, venue rental / online
conferencing\, travel costs for the presenter\, software licences\, and ge
neral 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 for t
his course and ensure you are able to run it prior to registering.
\n
\nCancellation and Moderation Terms
\nFor cancellations rec
eived up to two weeks prior to a PSI event start-date\, the event registra
tion fee will be refunded less 25% administrative charge. After this date\
, no refunds will be possible. A handling fee of 20 GBP per registration w
ill be charged for every registration modification received two weeks prio
r or less\, including a delegate name change.
\n