dsrobertson

dsrobertson's Stars

• PhanstielLab/plotgardener

  Language:R29989028

• Novartis/Causal-inference-in-RCTs

  This repository contains code examples for several methods in a Causal Inference in RCTs short course.

  Language:R20400

• medianasoft/MedianaDesigner

  Language:R19333

• dsrobertson/onlineFDR

  Clone of the Bioconductor repository for the onlineFDR package. See https://bioconductor.org/packages/devel/bioc/html/onlineFDR.html for the official development version, and https://dsrobertson.github.io/onlineFDR/ for easy access to documentation.

  Language:R14354

• bldestavola/TTE-Short-Course

  Material for the short course on Target Trial Emulation, 28 Nov 2022

  Language:Stata12206

• Merck/gMCPLite

  Lightweight graph-based multiple comparison procedures

  Language:R97142

• dsrobertson/graphical-approach

  Code for the paper "Graphical approaches for the control of generalised error rates", available at https://arxiv.org/abs/2004.01759

  Language:R4202

• kkmann/sample-size-calculation-under-uncertainty

  Jupyter notebooks and companion shiny app for the manuscript 'A review of Bayesian perspectives on sample size derivation for confirmatory trials'.

  Language:Jupyter Notebook3201

• kkmann/unblinded-sample-size-adaptation

  Sample Size Recalculation, When and How? https://arxiv.org/abs/2010.06567

  Language:TeX3302

• dsrobertson/onlineFDRexplore

  Language:R2000

• jvandermolen/BSU-beamer-theme

  Language:TeX2101

• latlio/onlineFDRstream

  Language:R2200

• ADMTP/ADMTP2025

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• dsrobertson/onlineFWERExplore

  Language:R1000

• latlio/onlineFDRexplore

  Language:R1202

• latlio/onlineFWERExplore

  Language:R1201

• ldmavrogonatou/BRAR

  Bayesian response-adaptive implementation for optimal design of clinical trials

  Language:Python110