Alternatives and similar repositories for Python-for-Epidemiologists

Users that are interested in Python-for-Epidemiologists are comparing it to the libraries listed below

• pzivich / zEpid
  Epidemiology analysis package
  ☆151Updated 2 years ago
• cmrivers / epipy
  Python tools for epidemiology
  ☆144Updated 2 years ago
• tlverse / tlverse-handbook
  🎯 Targeted Learning in R: A Causal Data Science Handbook
  ☆60Updated last year
• cmu-delphi / delphi-epidata
  An open API for epidemiological data.
  ☆105Updated this week
• jtleek / ads2020
  Advanced Data Science 2020 Edition
  ☆75Updated 2 years ago
• nt-williams / lmtp
  Non-parametric Causal Effects Based on Modified Treatment Policies
  ☆77Updated 3 months ago
• jaredhuling / personalized
  Methods for subgroup identification / personalized medicine / individualized treatment rules
  ☆33Updated last week
• AndreaHobby / Epidemiology-Tools-
  A list of tools to assist with epidemiology research
  ☆18Updated 6 years ago
• MIT-LCP / critical-data-book
  Code repository for the critical data book
  ☆76Updated 6 years ago
• opensafely / risk-factors-research
  This is the code and configuration for our paper, OpenSAFELY: factors associated with COVID-19-related hospital death in the linked elect…
  ☆32Updated last year
• ellessenne / comorbidity
  An R package for computing comorbidity scores.
  ☆88Updated last year
• OHDSI / CohortMethod
  An R package for performing new-user cohort studies in an observational database in the OMOP Common Data Model.
  ☆88Updated last week
• HDRUK / covid-19
  HDR UK - Resources for 🦠COVID-19 Research
  ☆43Updated 5 years ago
• saberpowers / causalLearning
  Methods for heterogeneous treatment effect estimation
  ☆24Updated 3 years ago
• ihmeuw / dismod_mr
  An Integrative Metaregression Framework for Descriptive Epidemiology
  ☆60Updated 2 years ago
• OHDSI / FeatureExtraction
  An R package for generating features (covariates) for a cohort using data in the Common Data Model.
  ☆71Updated last month
• stefvanbuuren / fimdbook
  Flexible Imputation of Missing Data - bookdown source
  ☆54Updated last year
• muschellij2 / biostatmethods
  Data and Code for Methods in Biostatistics in R
  ☆98Updated 6 years ago
• eigenfoo / tests-as-linear
  Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.
  ☆97Updated last year
• remlapmot / cibookex-r
  Causal Inference: What If. R and Stata code for Exercises
  ☆91Updated 2 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…
  ☆182Updated 2 months ago
• ModelOriented / fairmodels
  Flexible tool for bias detection, visualization, and mitigation
  ☆86Updated 2 months ago
• chelseaparlett / CPSC392ParlettPelleriti
  ☆176Updated last year
• hammerlab / survivalstan
  Library of Stan Models for Survival Analysis
  ☆124Updated 5 years ago
• kathoffman / causal-inference-visual-guides
  A collection of visual guides to help applied scientists learn causal inference.
  ☆292Updated 3 years ago
• thewileylab / ReviewR
  A Shiny tool for performing manual review of electronic medical records
  ☆25Updated 2 years ago
• vdorie / bartCause
  Causal Inference using Bayesian Additive Regression Trees
  ☆84Updated 5 months ago
• kathoffman / steroids-trial-emulation
  Tutorial for a target trial emulation with a time-varying exposure, time-dependent confounding, time-to-event outcome, and Sequentially D…
  ☆64Updated 2 years ago
• dariyasydykova / open_projects
  This repository contains ROC and precision-recall curve animations
  ☆259Updated 2 years ago
• higgi13425 / medicaldata
  Data Package for Medical Datasets
  ☆62Updated last week