Pinned Repositories
causal
Causal Inference using R. Examples are from the book Causal Inference (Chapman & Hall/CRC, 2012) by Miguel Hernán and Jamie Robins. Complete contributor/reviewer list is updated in http://www.hsph.harvard.edu/faculty/miguel-hernan/causal-inference-book/
EpiMethods
A unique open textbook to teach the nuances of applying advanced epidemiological methods using real data.
into2ML
A very basic introduction to machine learning.
intro2R
This is a R online textbook for those who are not familiar with data wrangling. For providing some practical introduction to data wrangling, NHANES datasets will be used as examples in this tutorial. Target audience is those interested in health data analysis, but these data wrangling skills are easily transferable to other fields. General understanding of a syntax based program is required as pre-requisite. For any comments regarding this document, reach out to Ehsan Karim http://ehsank.com/
iptw
This R package calculates various measures of association and helps understand and visualize the link between causal models such as Marginal Structural Models and Standerdized measures.
Scientific-Writing-for-Health-Research
Adaptation and Deployment of OER for Communicating Scientific Research Findings in Health Sciences Education
simMSM
R package that simulates data suitable for fitting Marginal Structural Model.
spph504-007
SPPH 504 (section 007): Application of Epidemiological Methods
SPPH504007SurveyData
Survey Data: Design and Examples
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.
ehsanx's Repositories
ehsanx/EpiMethods
A unique open textbook to teach the nuances of applying advanced epidemiological methods using real data.
ehsanx/PlasmodeSim
ehsanx/Multiple-trial-emulation-IPTW-MSM-CIs
Repository containing code and figures for MPhil dissertation
ehsanx/causallib
A Python package for modular causal inference analysis and model evaluations
ehsanx/choosing-epidemiological-journals
ehsanx/Confounder
ehsanx/Data-Science-Tools
ehsanx/dcf
Double cross-fitting simulation
ehsanx/DoublyRobustVariance
ehsanx/ehsankarim
Academic website
ehsanx/EpiShinyLiveA
ehsanx/EpiShinyLiveC
ehsanx/EpiShinyLiveD
ehsanx/EpiShinyLiveL
ehsanx/EpiShinyLiveM
ehsanx/EpiShinyLiveQ
ehsanx/EpiShinyLiveS
ehsanx/EpiShinyLiveW
Shiny apps for epidemiological teaching
ehsanx/GOAL
High-dimensional generalized propensity score with application to omics data.
ehsanx/GOALDeR
The Generalized Outcome-Adaptive LASSO and Doubly Robust Estimate (GOALDeR)
ehsanx/hdPS-proxy-select
ehsanx/immortal_person_time
This repository contains code to conduct a time-varying data simulation inducing immortal person time
ehsanx/IPAW-slides
sIPAW vs conditional estimates of per-protocol effect in pragmatic trial
ehsanx/MonteCarloIntegration
ehsanx/MS-CSI
MS-CSI project
ehsanx/PS-survey
Propensity scores in complex surveys
ehsanx/simcheck
Code in Stata and R supporting article on "How to check a simulation study"
ehsanx/spline-model
A spline-based approach to smoothly constrain hazard ratios with a view to apply treatment effect waning, Jennings et. al; example and simulation study supporting code.
ehsanx/ssc-workshop-2024
ehsanx/telling_stories
Telling Stories with Data