Alternatives and similar repositories for zEpid

Users that are interested in zEpid are comparing it to the libraries listed below

• pzivich / Python-for-Epidemiologists
  Tutorial in Python targeted at Epidemiologists. Will discuss the basics of analysis in Python 3
  ☆169Updated 2 years ago
• kathoffman / causal-inference-visual-guides
  A collection of visual guides to help applied scientists learn causal inference.
  ☆275Updated 2 years ago
• hammerlab / survivalstan
  Library of Stan Models for Survival Analysis
  ☆124Updated 5 years ago
• rmcelreath / causal_salad_2021
  One day course on causal inference, MPI-EVA 9 September 2021
  ☆248Updated 3 years ago
• nredell / shapFlex
  An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model
  ☆75Updated 5 years ago
• almost-matching-exactly / DAME-FLAME-Python-Package
  A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data
  ☆59Updated last year
• tlverse / tlverse-handbook
  🎯 Targeted Learning in R: A Causal Data Science Handbook
  ☆59Updated 8 months ago
• bambinos / educational-resources
  Educational resources
  ☆104Updated 3 years ago
• vdorie / bartCause
  Causal Inference using Bayesian Additive Regression Trees
  ☆80Updated 9 months ago
• nt-williams / lmtp
  Non-parametric Causal Effects Based on Modified Treatment Policies
  ☆69Updated last month
• interpretml / FasterRisk
  Create sparse and accurate risk scoring systems!
  ☆38Updated 11 months ago
• migariane / TutorialCausalInferenceEstimators
  Introduction to the mosts common estimators and computation in causal inference for epidemiologists: A tutorial
  ☆39Updated 4 years ago
• annennenne / causalDisco
  Tools for causal discovery in R
  ☆19Updated 4 months ago
• CamDavidsonPilon / lifelike
  WIP predicted survival functions
  ☆38Updated 5 years ago
• bd2kccd / r-causal
  R Wrapper for Tetrad Library
  ☆35Updated 10 months ago
• CausalInference / gfoRmula
  The gfoRmula package implements the parametric g-formula in R. The parametric g-formula (Robins, 1986) uses longitudinal data with time-v…
  ☆175Updated last month
• nlapier2 / PySensemakr
  Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
  ☆51Updated last month
• ck37 / varimpact
  Variable importance through targeted causal inference, with Alan Hubbard
  ☆57Updated last month
• eigenfoo / tests-as-linear
  Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.
  ☆94Updated 10 months ago
• cmrivers / epipy
  Python tools for epidemiology
  ☆139Updated 2 years ago
• ehkennedy / npcausal
  ☆95Updated last year
• cmu-delphi / delphi-epidata
  An open API for epidemiological data.
  ☆104Updated last week
• jaredsmurray / bcf
  Bayesian Causal Forests
  ☆47Updated last year
• NickCH-K / causaldata
  Packages of Example Data for The Effect
  ☆140Updated 8 months ago
• MLResearchAtOSRAM / cause2e
  The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).
  ☆60Updated 2 months ago
• saberpowers / causalLearning
  Methods for heterogeneous treatment effect estimation
  ☆24Updated 3 years ago
• osofr / simcausal
  Simulating Longitudinal and Network Data with Causal Inference Applications
  ☆69Updated 11 months ago
• ModelOriented / fairmodels
  Flexible tool for bias detection, visualization, and mitigation
  ☆85Updated 5 months ago
• vdorie / aciccomp
  Code to run submissions for the Atlantic Causal Inference Competition
  ☆42Updated 11 months ago
• adriennekline / psmpy
  propensity score matching in python
  ☆58Updated last month