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
š¤¹ 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 SASĀ® Graphics for Clinical Trials by Example book
biostata's Repositories
biostata/2021_presentations
biostata/astatur
R package to accompany "Applied Statistics using R"
biostata/BDP2
Bayesian adaptive designs for phase II trials with binary endpoint.
biostata/BTB-resources
Bayesian Thinking in Biostatistics datasets and code
biostata/causal-inference-class
biostata/CauseAndCorrelation
a series of R programs to accompany the book Cause and correlation in biology
biostata/CohortPlat
Simulation of Cohort Platform Trials for Combination Treatments
biostata/ctdesign
Clinical trial design tools
biostata/docxR
biostata/ftools
Fast Stata commands for large datasets
biostata/GenoPred
Genotype-based Prediction (GenoPred)
biostata/hreport
Statistical reports in html with interactive plotly graphics, especially for clinical trials
biostata/IDEAFilter
An R Shiny Filtering module
biostata/mastering-shiny
Mastering Shiny: a book
biostata/MendelianRandomization
:exclamation:Ā ThisĀ isĀ aĀ read-onlyĀ mirrorĀ ofĀ theĀ CRANĀ RĀ packageĀ repository. MendelianRandomizationĀ āĀ MendelianĀ RandomizationĀ Package
biostata/mixtape
Data and Program files for Causal Inference: The Mixtape
biostata/modern-bayes
Modern Bayesian statistics, STA 360/602, Duke University, Department of Statistical Science
biostata/moremata
Stata module providing various Mata functions
biostata/NNSampleSize
A tool for communicating, determining and documenting sample size in clinical trials
biostata/OxidMedCellLongev
biostata/Power2Stage
Power and Sample-Size Distribution of 2-Stage Bioequivalence Studies (TSD)
biostata/psrwe
biostata/R-in-brief
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biostata/r4csr
R for Clinical Study Report and Submission
biostata/shinysse
R package containing a shiny app that demonstrates sample size estimation
biostata/shinystan
shinystan R package and ShinyStan GUI
biostata/SingleCell-Multiomics
biostata/Stata
biostata/survmixer
:package: survmixer : An R package for calculating the sample size for overall survival based on survival-by-response information.
biostata/TutorialComputationalCausalInferenceEstimators
Tutorial_Computational_Causal_Inference_Estimators