nt-williams Goto Github PK

adjrct

Doubly-Robust and Efficient Estimators for Survival and Ordinal Outcomes in RCTs Without Proportional Hazards or Odds Assumptions :pill:

advent-of-code

Advent of Code

aoc2021

Advent of Code 2021 in Julia

broom

Convert statistical analysis objects from R into tidy format

cabinets

:package: for custom file structure templates accessible in R sessions outside the ones they were created in.

catfun

R package for categorical data analysis aimed at new R users.

climblogs

Companion R :package: to the ClimbOn shiny :iphone: app

climbon

Shiny :iphone: app for collecting gym climbing data

codebreak

A light weight codebook framework for R

covid-rct-covar

Simulation study evaluating what variables should be included as covariates in analyses for COVID-19 RCTs

covid19_data

Automated extraction and cleaning of COVID-19 data

custom-sl

Custom SuperLearner wrappers

cv

CV in latex adapted from Dr. Geoff Boeing.

d3-book

Code examples for “Interactive Data Visualization for the Web”

dcme

Mediation Effects with 2 Instrumental Variables

doesnpmatter

Simulations for "Does Nonparametric Matter?" paper. :computer:

eif

engineering-pad

An RStudio theme in honor of my favorite engineering pad :trollface:

formatix

An R general computing toolbox :package:

gee.jl

hdmediation

Efficient, doubly-robust--and possibly transported--estimation of interventional (in)direct effects with high-dimensional mediators and mediator-outcome confounders.

lcm

Efficient and flexible causal mediation with longitudinal mediators, treatments, and confounders

lcmmtp

Longitudinal Mediation with Modified Treatment Policies

lmtp

:package: Non-parametric Causal Effects Based on Modified Treatment Policies :crystal_ball:

lmtp-jss

Paper for {lmtp} :book:

lmtp-paper

lmtp-prez-cc

lmtp presentation for WCM Biostatistics Computing Club

lmtp-simulations

Code used for the simulation study in the paper "Non-parametric casual effects based on longitudinal modified treatment policies."

lmtp-workshop

Workshop for LMTP at SER 2024

marijuana-diff-in-diff

Shiny app for conducting a differences-in-differences analysis for substance use in states with recreational marijuana laws compared to aggregated substance use in the U.S.