GitHub

A/B Testing Framework

A clean, reusable statistical A/B testing framework built in Python. Covers hypothesis testing (z-test, chi-square), confidence intervals, minimum detectable effect (MDE), sample size planning, and ...
PNAS

Identifying direct risk factors in UK Biobank via simultaneous Bayesian-frequentist model-averaged hypothesis testing using Doublethink

Understanding what causes disease is key to improving its treatment and prevention. Large health studies like UK Biobank measure thousands of possible causes of disease. Traditionally, scientists have ...
C&EN

Assignment of Regioisomers Using Infrared Spectroscopy: A Python Coding Exercise in Data Processing and Machine Learning

Chemistry Teaching Laboratory, Department of Chemistry, University of Oxford, Oxford, United Kingdom of Great Britain and Northern Ireland, OX1 3PS ...
PNAS

Principled and interpretable alignability testing and integration of single-cell data

Aligning and integrating different datasets is a key challenge in single-cell research. However, existing methods suffer from several fundamental and under-appreciated limitations. First, we do not ...
Frontiers

Patient-Specific Network Connectivity Combined With a Next Generation Neural Mass Model to Test Clinical Hypothesis of Seizure Propagation

Dynamics underlying epileptic seizures span multiple scales in space and time, therefore, understanding seizure mechanisms requires identifying the relations between seizure components within and ...
GitHub

A toolkit for adjusting and visualizing p values.

p_toolkit is a package designed to help adjust and visualize p-values when using multiple comparisons. As computing power has become powerful enough to run hundreds or even thousands of statistical ...