scikit-learn cross validators for iterative stratification of multilabel data

Graph regularized nonnegative matrix factorization (GNMF) in Python

Code for the General Lake Model

Optimal Multivariate-stratification Geographical Detector model

Multi-omics disease sub-type specific drug repositioning aided with expression signatures from ConnectivityMap

QGIS plugin for inferring geological attitudes from topographic traces and viceversa

A text-based computational framework for patient -specific modeling for classification of cancers. iScience (2022).

Simple two-layer lake model: fast, easy to use, maybe not reliable

Multi-label data stratification with Scikit-multilearn.

DECO :: Decomposing heterogeneous population cohorts for patient stratification and discovery of biomarkers using omic data profiling. R package

emergence is a web application to enable citizen scientists and garden hobbyists to track their activities and research

Code for "Adaptive Selection of the Optimal Strategy to Improve Precision and Power in Randomized Trials"

Sobre IDEA versión 11 y el comando Estratificacion. IDEAScript y Python.

Sobre IDEA versión 11 y el comando Estratificación con resultado. IDEAScript y Python.

Simulation code for the paper “No Stratification Without Representation” by Gerdus Benadè, Paul Gölz, and Ariel D. Procaccia.

Stratification of multi-label datasets

Data and scripts for Ladwig, Rock & Dugan (2021): Impact of salinization on lake stratification and mixing

A comparative performance study of Propensity Score Matching, Doubly Robust Estimation, and Stratification algorithms. Evaluates Average Treatment Effect (ATE) accuracy and computational runtime across high-dimensional and low-dimensional datasets using L1-penalized propensity score estimation.

full sample/sample splitting estimation of ATE for subgroups