Pinned Repositories
2021_presentations
ABMs-for-causal-inference
Code for: Murray EJ, Robins JM, George R. Seage III, Freedberg KA, Hernan MA. A Comparison of Agent-Based Models and the Parametric G-Formula for Causal Inference. American Journal of Epidemiology. 2017;186(2):131-42.
Adaptive_N-of-1_trials_design
Bayesian adaptive N-of-1 trials for estimating population and individual treatment effects
adoptr
Adaptive optimal two-stage designs for clinical trials made easy.
adriand_shiny
Shiny apps for teaching and learning statistics
advanced-shiny
🤹 Shiny tips & tricks for improving your apps and solving common problems
AplusB
A + B Design Investigator for phase I dose-escalation studies
astatur
R package to accompany "Applied Statistics using R"
BasketTrials
Design, Monitoring and Analysis of Bayesian Basket Discovery Trials
SAS-Graphs-Clinical-Trials-Example
Code and data repository for SAS® Graphics for Clinical Trials by Example book
biostata's Repositories
biostata/SAS-Graphs-Clinical-Trials-Example
Code and data repository for SAS® Graphics for Clinical Trials by Example book
biostata/adoptr
Adaptive optimal two-stage designs for clinical trials made easy.
biostata/advanced-shiny
🤹 Shiny tips & tricks for improving your apps and solving common problems
biostata/Bayesian-bandit-adaptive-n-of-1
biostata/BayesianPickWinner
Generate statistical plan for Bayesian pick-the-winner design in a randomized phase II clinical trial
biostata/causal_inference_r_workshop
Causal Inference in R Workshop
biostata/CPPZ
Conditional Power and Promising Zone
biostata/CrashCourseCausalInference
Introduction to Causal Inference in Epidemilogy a Crash Course in Spanish
biostata/DesignCTPB
biostata/genMSM
Stata do file to simulate data suitable for fitting Marginal Structural Model.
biostata/introR
这是一本中文 R 语言入门书,基于最新 tidyverse 包。
biostata/MedicalRiskPredictionModels
biostata/nof1_thesis
Statistical Issues in the Design and Analysis of Series of N-of-1 Trials
biostata/PhII_Bayes
Bayesian tools for PhII clinical trial design - https://iddi-be.github.io/PhII_Bayes/index.html
biostata/princ_strat_drug_dev
biostata/R-graph-gallery
A website that displays hundreds of R charts with their code
biostata/r2rtf
Create RTF table and figure with a flexible format.
biostata/Rmimic
An R package that mimic outputs of popular commercial statistics software packages with effect sizes and confidence intervals.
biostata/SAS
All things SAS related (programs, macros, presentations, etc)
biostata/sas-global-forum-2020
Code and examples that accompany papers and presentations from SAS Global Forum 2020 (Mar 29 - Apr 1 in Washington, DC)
biostata/Shiny-Async-Poll
Quick exercise for utilizing Async functions and fireBase to build scalable R Shiny Apps.
biostata/shiny_crud
Example Shiny apps implementing CRUD database functionality
biostata/shrunk_ite
Shrunk versus naive individual treatment effects in aggregated n-of-1 trials
biostata/SSR-conditional-score
R Code for the article "A new conditional performance score for the evaluation of adaptive group sequential designs with sample size recalculation" by Carolin Herrmann, Maximilian Pilz, Meinhard Kieser and Geraldine Rauch (doi: 10.1002/sim.8534).
biostata/STARTapp
The START App: R Shiny Transcriptome Analysis Resource Tool
biostata/tableone
R package to create "Table 1", description of baseline characteristics with or without propensity score weighting
biostata/TutorialCausalInferenceEstimators
Introduction to the mosts common estimators and computation in causal inference for epidemiologists: A tutorial
biostata/unblinded-sample-size-adaptation
Sample Size Recalculation, When and How? https://arxiv.org/abs/2010.06567
biostata/user2020-causal-inference
biostata/xplorerr
Shiny apps for interactive data analysis, visualization and modeling.