oddfisher implements fisher exact test with hypothesized odds ratio parameter (equivalent to *or* parameter in R fisher.test)
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Updated
Aug 27, 2024 - Python
oddfisher implements fisher exact test with hypothesized odds ratio parameter (equivalent to *or* parameter in R fisher.test)
Pathway enrichment analysis / visualize for Single Cell Data
Simplified odds ratio calculation of binomial GAM/GLM models
Free WordPress Plugin: The odds probability calculator can convert the odds of winning and losing to the probability of winning and losing. Learn the differences between odds and probability. www.calculator.io/odds-calculator/
Masters Project: Logistic Regression Analysis, Comparing the Completion of Latent Tuberculosis Therapy of HIV-Coinfected Individuals and Other Chronic High Risk Groups
Epidemiology analysis package
Semiparametric inference for relative heterogeneous vaccine efficacy between strains in observational case-only studies
Used R to analyze an academic article on the association between having a skin disease and developing a psychological disorder. Looked at odds ratios, corrected for missing data, and replicated their logistic regression model for classification purposes. I also conducted a 20 minute presentation of my findings to a class of graduate students.
Demo项目 Odds Ratio Calculator
A Study of the Risk Factors for Leptospirosis Infection in Kenya.
Package to accompany "Examining Bias in Jury Selection for Criminal Trials in Dallas County"
🏫 Statistical analysis for abstract submitted to the "Salão Universitário 2021" of the Catholic University of Pelotas by the graduate student Maria Fernanda Nieves.
This code predicts that how many customers having a simmons credit card, debit card,monthly spendings at thier apparel store would buy or not use the coupon sent. Afterwards it would provide a logistic regression model to conclude that to which customers the expensive SImmons Coupons should be sent. So that eventually it would maximize the benef…
The main objectives of this project are Stacked Generalization (Stacking) and comparing models with ANOVA tests. To do that I classify if a person flying with an unnamed north american airline company is satisfied or neutral/dissatisfied with their flight.
Bayesian Logistic Regression with Python and PyMC3 to predict customer subscription for a financial institution.
COVID-19 mortality risk assessment among various age groups using phylogenomic analysis
This specialization has covered all the latest discoveries in medicine solving diagnostic, prognostic and treatment-related problems with some state-of-the-art algorithms and libraries. I have completed the course which helps me to be an expert in AI for Medicine.
code for "Empirical confidence estimates for classification by deep neural networks"
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