similar to: simtrial: Clinical Trial Simulation

Kevin, Maybe also look at what air quality monitoring is being done in area. https://cran.r-project.org/web/packages/RAQSAPI/vignettes/RAQSAPIvignette.html Depends what and how near, but might be something relevant there? Karl Dr Karl Ropkins Transport Studies | Environment | University of Leeds ------------------------------ Message: 2 Date: Tue, 12 Dec 2023 07:52:59 -0800 From: Bert Gunter

Dear all, A new version of gsDesign2 (1.0.8) is now on CRAN (https://cran.r-project.org/package=gsDesign2). gsDesign2 enables fixed or group sequential design under non-proportional hazards and supports highly flexible enrollment, time-to-event, and time-to-dropout assumptions. The key improvements in this version include refined naming conventions for options in the info_scale argument adhering

Dear all, A new version of gsDesign2 (1.0.8) is now on CRAN (https://cran.r-project.org/package=gsDesign2). gsDesign2 enables fixed or group sequential design under non-proportional hazards and supports highly flexible enrollment, time-to-event, and time-to-dropout assumptions. The key improvements in this version include refined naming conventions for options in the info_scale argument adhering

Is anybody using R to do analysis of clinical trial datasets that have been put in the public domain (which are super hard to find). Not only a single data table, but the actual database, with a handful of data tables with one-to-one or many-to-one relationships? [ For example, "Adverse Events" and "Patient Info" are two datasets with a many-to-one relationship, the

Can anyone recommend a package that can be used to randomize subjects? I am looking for a generalized package, or several packages that can accomplish unrestricted randomization (i.e. simple random assignment) restricted randomization including stratified randomization, blocked randomization, and adaptive randomization. Thanks, John John David Sorkin M.D., Ph.D. Chief, Biostatistics and

Hi, I have a series of id's with multiple visits and questionnaire scores. This is a clinical trial that will be analyzed using the last observation carried forward method. In other words, in order to comply with intent to treat analysis when many subjects withdraw, data points for the last visit must be generated and filled in with the last observation. The ultimate goal is to tabulate the

Dear R-Helpers, Apologies in advance as this is partly (widely ?) OT. Not sure where to ask, R is my favorite computer tool (no kidding) and there are plenty of knowledgable and helpful people on the list. Background: There are discussions among experts and regulatory authorities (cf guideline http://www.emea.europa.eu/pdfs/human/ewp/056598en.pdf) that, in for example Amyotrophic Lateral

On Tue, Apr 28, 2020 at 9:00 PM Shian Su <su.s at wehi.edu.au> wrote: > > Thanks Simon, > > I will take note of the sensible default for core usage. I?m trying to achieve small scale parallelism, where tasks take 1-5 seconds and make fuller use of consumer hardware. Its not a HPC-worthy computation but even laptops these days come with 4 cores and I don?t see a reason to not make

Dear all, I'm excited to announce that a new version of gsDesign (3.6.0) is now on CRAN (https://cran.r-project.org/package=gsDesign). gsDesign supports group sequential clinical trial design, largely as presented in Jennison and Turnbull (2000). The 3.6.0 update introduces some significant new features and enhancements: - New gsSurvCalendar() function to enable group sequential design for

Dear all, I'm excited to announce that a new version of gsDesign (3.6.0) is now on CRAN (https://cran.r-project.org/package=gsDesign). gsDesign supports group sequential clinical trial design, largely as presented in Jennison and Turnbull (2000). The 3.6.0 update introduces some significant new features and enhancements: - New gsSurvCalendar() function to enable group sequential design for

I used both BMDP and SAS in my earlier years, side by side. At that time the BMDP statistical methods were much more mature and comprehensive: we treated them as the standard when the two packages disagreed. (It was a BMDP manual that clearly explained to me what the hypothesis of "Yate's weighted mean test" is, something SAS decided to call "type III" and eternally

Dear All, I am looking an R version of the "Computer program for sample size and power calculations in the design of multi-arm and factorial clinical trials with survival endpoints". Best regards, Giovanni Parrinello P.S.: in the meantime I am preparing a summary for my preceeding question about time-varying covariates in the Cox model and I thank Frank Harrell, Chuck Cleland,

Hi, I’m new to R (just installed today) and I’m trying to figure out how to do stratified randomisation using it. My google search expedition has lead me to believe that blockrand package will most probably be the answer to it. I’ve played around with blockrand for awhile and tried the sample code: library(blockrand) ##stratified by sex male <- blockrand(n=100,

I hope that Marc doesn't mind, but I felt that part of his recent post was important enough to deserve it's own subject line rather then being lost in a 60-msg-long thread... On Sun, Jan 11, 2009 at 10:08 AM, Marc Schwartz <marc_schwartz at comcast.net> wrote: ... I strongly believe that the comments regarding R and the FDA are overly negative and pessimistic. The hurdles to

Hello Everyone,   I’m a SAS user who has recently become interested in sequential clinical trials designs. I’ve discovered that the SAS based approaches for these designs are either too costly or are “experimental.” So now I’m looking for alternative software. Two programs that seem promising are SPLUS Seqtrial and R.   I recently obtained a 30 day trial for the SPLUS Seqtrial add-on and have

Hi there, I want to find the adjusted confidence intervals in group sequential trials in a simulation setting. GroupSeq provides me with what I am looking for in an interactive setting, but I am not sure how to make it work in a simulation setting so that it produces a series of adjusted confidence intervals for a series of Z-statistics that I provide it without me having to enter each

Dear all, There have been a variety of discussions on the R list regarding the use of R in clinical trials. The following post from the STATA list provides an interesting opinion regarding why SAS remains so popular in this arena: http://www.stata.com/statalist/archive/2008-01/msg00098.html Regards, -Cody Hamilton

> -----Original Message----- > From: Bie, Tiwei > Sent: Friday, April 20, 2018 11:28 AM > To: Michael S. Tsirkin <mst at redhat.com> > Cc: Jason Wang <jasowang at redhat.com>; alex.williamson at redhat.com; > ddutile at redhat.com; Duyck, Alexander H <alexander.h.duyck at intel.com>; > virtio-dev at lists.oasis-open.org; linux-kernel at vger.kernel.org; >

We are finding more and more clinical researchers interested in learning R and are starting to teach R to clinicians. We have put some teaching material on our site: http://biostat.mc.vanderbilt.edu -- Frank E Harrell Jr Professor and Chair School of Medicine Department of Biostatistics Vanderbilt University

// ///Clinical Information Technology Research Assistant (102792) We are looking for a Clinical Information Technology Research Assistant to work on the Oxford component of the EURECA FP7 project (Enabling information re-Use by linking clinical REsearch and CAre) http://eurecaproject.eu/partners. The post-holder will be in the Oxford component of the EURECA project and will focus on