biostata

biostata

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biostata's repositories

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R-graph-gallery

A website that displays hundreds of R charts with their code

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PhII_Bayes

Bayesian tools for PhII clinical trial design - https://iddi-be.github.io/PhII_Bayes/index.html

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introR

这是一本中文 R 语言入门书,基于最新 tidyverse 包。

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TutorialCausalInferenceEstimators

Introduction to the mosts common estimators and computation in causal inference for epidemiologists: A tutorial

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Rmimic

An R package that mimic outputs of popular commercial statistics software packages with effect sizes and confidence intervals.

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Shiny-Async-Poll

Quick exercise for utilizing Async functions and fireBase to build scalable R Shiny Apps.

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causal_inference_r_workshop

Causal Inference in R Workshop

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r2rtf

Create RTF table and figure with a flexible format.

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nof1_thesis

Statistical Issues in the Design and Analysis of Series of N-of-1 Trials

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shrunk_ite

Shrunk versus naive individual treatment effects in aggregated n-of-1 trials

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xplorerr

Shiny apps for interactive data analysis, visualization and modeling.

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BayesianPickWinner

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

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adoptr

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

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STARTapp

The START App: R Shiny Transcriptome Analysis Resource Tool

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advanced-shiny

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

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sas-global-forum-2020

Code and examples that accompany papers and presentations from SAS Global Forum 2020 (Mar 29 - Apr 1 in Washington, DC)

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SAS-Graphs-Clinical-Trials-Example

Code and data repository for SAS® Graphics for Clinical Trials by Example book

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shiny_crud

Example Shiny apps implementing CRUD database functionality

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genMSM

Stata do file to simulate data suitable for fitting Marginal Structural Model.

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SAS

All things SAS related (programs, macros, presentations, etc)

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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).

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unblinded-sample-size-adaptation

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

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CPPZ

Conditional Power and Promising Zone

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tableone

R package to create "Table 1", description of baseline characteristics with or without propensity score weighting

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CrashCourseCausalInference

Introduction to Causal Inference in Epidemilogy a Crash Course in Spanish

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