A Textbook Remedy for Domain Shifts Knowledge Priors for Medical Image Analysis
-
Updated
Jun 16, 2024 - Python
A Textbook Remedy for Domain Shifts Knowledge Priors for Medical Image Analysis
A library for minimizing the effects of confounding covariates
Conquering confounds and covariates: methods, library and guidance
Simulation of unmeasured confounding
Semiparametric inference for relative heterogeneous vaccine efficacy between strains in observational case-only studies
Detects sufficient and necessary conditions for pattern inversion conditional on log transform
Source code for the case study of "Constructing weights based on the disease risk score to address confounding in observational studies"
Comparison of different methods for adjusting for confounding in a Cox regression using simulated data in stata
☯︎[ACMMM'22] Official PyTorch Implementation of Towards Unbiased Visual Emotion Recognition via Causal Intervention
Accounting for hidden confounders in estimates of dose-response curves from observational data.
Shiny-Tool for investigation of metabolite-covariate relationships
Stratified Analysis using R - Beginner Level
blopmatch: Matching Estimator based on a Bilevel Optimization Problem
Confound-isolating cross-validation approach to control for a confounding effect in a predictive model.
SNP abundance correlates with network degree
R package to implement high-dimensional confounding adjustment using continuous spike and slab priors
R code for the Shiny app that accompanies Westfall & Yarkoni (2016)
Add a description, image, and links to the confounding topic page so that developers can more easily learn about it.
To associate your repository with the confounding topic, visit your repo's landing page and select "manage topics."