GitHub

StatsPAI: an Agent&Python-native Stata/R replacement for applied causal inference

StatsPAI is for empirical researchers who would normally jump between Stata, R, and Python. Its goal is to make common Stata/R econometrics and causal-inference workflows feel native in Python: load a ...
GitHub

Firth-penalized models in Python:

Firth penalization reduces small-sample bias and produces finite estimates even when standard MLE fails due to (quasi-)complete separation or monotone likelihood. Standard maximum-likelihood logistic ...
ascopubs.org

Prediction of Treatment Efficacy in Locally Advanced Rectal Cancer Using a Clinical and Magnetic Resonance Imaging–Based Radiomics-Immunological Model for Total Neoadjuvant ...

Phase Ib Study of BI 836880 (VEGF/Ang2 nanobody) in Combination With Ezabenlimab (anti–PD-1 antibody) in Patients With Advanced or Metastatic Solid Tumors Accurately identifying patients who will ...
Scientific Research Publishing

Stock Type Prediction Based on Multiple Machine Learning Methods ()

Stocks in the Chinese stock market can be divided into ST stocks and normal stocks, so to prevent investors from buying potential ST stocks, this paper first performs SMOTEENN oversampling data ...
C&EN

Allosteric Modulation of Thrombin by Thrombomodulin: Insights from Logistic Regression and Statistical Analysis of Molecular Dynamics Simulations

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted.
C&EN

Inclusion of Control Data in Fits to Concentration–Response Curves Improves Estimates of Half-Maximal Concentrations

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Concentration–response curves, in which the effect of varying the concentration on the ...
Frontiers

Developing Machine Learning Algorithms to Predict Pulmonary Complications After Emergency Gastrointestinal Surgery

Objective: Investigate whether machine learning can predict pulmonary complications (PPCs) after emergency gastrointestinal surgery in patients with acute diffuse peritonitis. Methods: This is a ...