odds-ratio

Epidemiology analysis package

Estimation and inference from generalized linear models using explicit and implicit methods for bias reduction

Simplified odds ratio calculation of binomial GAM/GLM models

A workflow of tidyverse(glm -> broom -> ggplot)

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code for "Empirical confidence estimates for classification by deep neural networks"

AI Player support platform for iGaming operations, automating ticket classification, response generation, and knowledge retrieval. Integrated TypeScript‑based backend logic and prompt evaluation workflows to improve response accuracy and reduce manual intervention.

Produces odds ratio analyses with comprehensive reporting tools. Generates plots, summary tables, and diagnostic checks for logistic regression models fitted with 'glm()' using binomial family. Provides visualisation methods, formatted reporting tables via 'gt', and tools to assess logistic regression model assumptions.

Deriving adjusted relative risk from logistic regression

COVID-19 mortality risk assessment among various age groups using phylogenomic analysis

🏫 Statistical analysis for abstract submitted to the "Salão Universitário 2021" of the Catholic University of Pelotas by the graduate student Maria Fernanda Nieves.

Python strip MeSH to SQL. This python file strips the Medical Education Search Heading (MeSH) XML file, to create a csv which can be bulk uploaded into an empty SQL table. MeSH terms are tagged to all articles submitted to pubmed and are useful controlled vocabularly for biology and science in general. There is often a need to use the terms in a…

Implement logistic regression using Python and scikit-learn to classify malignant vs. benign tumours from the Breast Cancer Wisconsin (Diagnostic) dataset

互動式治療效益 EBM 計算器：ARR/NNT/NNH/RRR + 白話說明 + 百人效益圖 (Cates plot)，支援四宮格／百分比／人年三種輸入（繁中）

Classical epidemiological measures that show their work-- worked derivations for teaching and checking hand calculations

Measure racial bias in sentencing using Odds Ratio, Relative Risk, Chi-Square Tests and regressions on our dataset acquired under California's public records laws

Logistic regression

Statistical analysis of suicide attempts and associated factors among youth in Santander (2016–2023), using official data from DANE (Colombia). Includes data cleaning, exploratory analysis, statistical tests, and visualizations implemented in Python.