Pinned Repositories
2022_ser_competing_events
Causal inference with competing events
beyond-bar-and-box-plots
Hands–on code to create and style chart alternatives with ggplot2
causal-inference-rstats
CausalSurvivalAnalysisWorkshop
CompetingEvents_Young_SIM_2020
R Code used in https://onlinelibrary.wiley.com/doi/abs/10.1002/sim.8471
Data-Viz-ggplot2
Data Visualization for Environmental Epidemiology with ggplot2: Mastering Presentation-Grade Figures
gfoRmula
The gfoRmula package implements the parametric g-formula in R. The parametric g-formula (Robins, 1986) uses longitudinal data with time-varying treatments and confounders to estimate the risk or mean of an outcome under hypothetical treatment strategies specified by the user.
GFORMULA-SAS
The GFORMULA macro implements the parametric g-formula in SAS. The parametric g-formula (Robins, 1986) uses longitudinal data with time-varying treatments and confounders to estimate the risk or mean of an outcome under hypothetical treatment strategies specified by the user.
IV-Bounds
MediationPowerTutorial
KennethATaylor's Repositories
KennethATaylor/2022_ser_competing_events
Causal inference with competing events
KennethATaylor/beyond-bar-and-box-plots
Hands–on code to create and style chart alternatives with ggplot2
KennethATaylor/causal-inference-rstats
KennethATaylor/CausalSurvivalAnalysisWorkshop
KennethATaylor/CompetingEvents_Young_SIM_2020
R Code used in https://onlinelibrary.wiley.com/doi/abs/10.1002/sim.8471
KennethATaylor/Data-Viz-ggplot2
Data Visualization for Environmental Epidemiology with ggplot2: Mastering Presentation-Grade Figures
KennethATaylor/gfoRmula
The gfoRmula package implements the parametric g-formula in R. The parametric g-formula (Robins, 1986) uses longitudinal data with time-varying treatments and confounders to estimate the risk or mean of an outcome under hypothetical treatment strategies specified by the user.
KennethATaylor/GFORMULA-SAS
The GFORMULA macro implements the parametric g-formula in SAS. The parametric g-formula (Robins, 1986) uses longitudinal data with time-varying treatments and confounders to estimate the risk or mean of an outcome under hypothetical treatment strategies specified by the user.
KennethATaylor/IV-Bounds
KennethATaylor/MediationPowerTutorial
KennethATaylor/medshift
:package: :game_die: R/medshift: Causal Mediation Analysis for Stochastic Interventions
KennethATaylor/mlworkshop2022
SER 2022 Workshop: ABCs of Machine Learning
KennethATaylor/OW_Survival
Estimating Counterfactual Survival Functions via the Overlap Weights
KennethATaylor/RWorkshopSER2022
Files for the 2022 R workshop for the Society for Epidemiologic Research
KennethATaylor/sas-violinPlot
Violin Plots in SAS
KennethATaylor/SAS_PACKAGES
[PRODUCTION READY] - SAS Packages Framework and Repository
KennethATaylor/ser2022-workshop
Materials for two half-day workshops on Targeted Learning with the tlverse at the 2022 Society for Epidemiologic Research Meeting
KennethATaylor/ser2022_mediation_workshop
Materials for the workshop "Modern Causal Mediation Analysis" at the 2022 Society for Epidemiologic Research Meeting
KennethATaylor/SER_workshop_DID_SCM_2022
This is a Society for Epidemiology Research (SER) 2022 workshop on "An introduction to Difference-in-difference and Synthetic control methods for Epidemiologists" by Roch Nianogo (niaroch@ucla.edu) & Tarik Benmarhnia (tbenmarhnia@health.ucsd.edu)
KennethATaylor/simulationforepi
Epidemiology Population Simulation Files
KennethATaylor/tidyverse_workshop_oscr
This is a 90' workshop to learn about tidyverse
KennethATaylor/TMLEworkshop
Targeted maximum likelihood estimation (TMLE) enables the integration of machine learning approaches in comparative effectiveness studies. It is a doubly robust method, making use of both the outcome model and propensity score model to generate an unbiased estimate as long as at least one of the models is correctly specified.
KennethATaylor/transport
Transporting intervention effects from one population to another with targeted learning
KennethATaylor/transportability-workshop
Transporting treatment effects from randomized trials to real-world populations, Karolinska Institutet, 16th Nov 21
KennethATaylor/ValidationCompRisks
Code repository for the manuscript 'Validation of the performance of competing risks prediction models: a guide through modern methods' (published in BMJ)
KennethATaylor/KennethATaylor.github.io
KennethATaylor/stat_rethinking_2022
Statistical Rethinking course winter 2022
KennethATaylor/Veteran-Pain-Trends
Code for veteran pain trends