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academic-xiao

acic2019-workshop

🎯 :school_satchel: Materials for a full-day workshop on Targeted Learning with the tlverse at the 2019 Atlantic Causal Inference Conference

bayesian_ia_timing

R package for "Optimizing Interim Analysis Timing for Bayesian Adaptive Commensurate Designs." A innovative Bayesian adaptive commensurate designs that borrows adaptively from historical information and also uses a payoff function to optimize the timing of the study’s interim analysis.

causal-me

Causal Inference with a Continuous Error-Prone Exposure

causalgps_medicare

A practical guideline on the use of CausalGPS on Medicare data with individual-level strata

cihr_training_course

Introduction to time series modeling for syndromic surveillance

coastalanalysisfend

cobalt

Covariate Balance Tables and Plots - An R package for assessing covariate balance

cox_poisson

cs181-s18-homeworks

cs181-s18-practicals

datasciencecoursera

datasharing

The Leek group guide to data sharing

ecological-bias

ecoreg

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

gpsmatching

R Package for "Matching on generalized propensity scores with continuous exposures". An innovative approach for estimating causal effects using observational data in settings with continuous exposures, and a new framework for GPS caliper matching that jointly matches on both the estimated GPS and exposure levels to fully adjust for confounding bias.

gridded

R tools to process reanalysis gridded data

hei-harmonized-analysis

This is the data repository for reproducible code to conduct HEI harmonized analysis

lincde

LinCDE: Conditional Density Estimation via Lindsey's Method

national_causal

Public Available Code to Conduct Analyses in "Evaluating the Impact of Long-term Exposure to Fine Particulate Matter on Mortality Among the Elderly."

pm-risk

Risk of Mortality Associated with Fine Particulate Matter Exposure

pm_covid

Public Available Code and Data to Reproduce Analyses in "Air pollution and COVID-19 mortality in the United States: Strengths and limitations of an ecological regression analysis."

python-igraph

Python interface for igraph

r

R language

rc-gps

Code for "Causal inference in the context of an error prone exposure: Air pollution and mortality". A new approach for estimating causal effects when the exposure is measured with error.

rigraph

igraph R package

staar

An R package for performing STAAR procedure in whole genome sequencing studies

strata_specific_erc

ts_stochastic

Public Available Code and Data to Reproduce Analyses in "Assessing the causal effects of a stochastic intervention in time series data: Are heat alerts effective in preventing deaths and hospitalizations?"