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biostata's Projects

abms-for-causal-inference icon 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.

adoptr icon adoptr

Adaptive optimal two-stage designs for clinical trials made easy.

advanced-shiny icon advanced-shiny

🤹 Shiny tips & tricks for improving your apps and solving common problems

aplusb icon aplusb

A + B Design Investigator for phase I dose-escalation studies

astatur icon astatur

R package to accompany "Applied Statistics using R"

baskettrials icon baskettrials

Design, Monitoring and Analysis of Bayesian Basket Discovery Trials

bayesianpickwinner icon bayesianpickwinner

Generate statistical plan for Bayesian pick-the-winner design in a randomized phase II clinical trial

bdp2 icon bdp2

Bayesian adaptive designs for phase II trials with binary endpoint.

causallab icon causallab

A student activity for introductory statistics courses using causal inference methods.

cibookex-r icon cibookex-r

Causal Inference: What If. R and Stata code for Exercises

cohortplat icon cohortplat

Simulation of Cohort Platform Trials for Combination Treatments

confoundr_sas icon confoundr_sas

SAS macros to implement Diangostic for confounding time-varying and other joint exposures

covidrt icon covidrt

Code answers, references for a real-time covid 19 dashboard tutorial series in R

cppz icon cppz

Conditional Power and Promising Zone

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