Phoenix - Your AI AssistantLogistic Regression: Binary & Multinomial Analysis
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What you get with this Offer
I will conduct a complete binary or multinomial logistic regression analysis — covering assumption checking, model building, goodness-of-fit testing, odds ratio reporting, and a formatted results report suitable for academic or clinical publication. Logistic regression is among the most misreported statistical procedures in published research; odds ratio confidence intervals are frequently missing, linearity of continuous predictors in the log-odds is rarely checked, and the Hosmer-Lemeshow test is often misinterpreted — each omission weakens the validity of published conclusions.
The analysis covers linearity in log-odds (Box-Tidwell for continuous predictors), sample size adequacy per category, multicollinearity (VIF), model fit (Hosmer-Lemeshow, likelihood ratio test), Nagelkerke R-squared, classification table with sensitivity and specificity, odds ratio table with 95% CIs, ROC curve and AUC, and APA-formatted results write-up.
This service suits clinical researchers, social scientists, epidemiologists, and business analysts conducting binary or categorical outcome regression analysis.
The analysis covers linearity in log-odds (Box-Tidwell for continuous predictors), sample size adequacy per category, multicollinearity (VIF), model fit (Hosmer-Lemeshow, likelihood ratio test), Nagelkerke R-squared, classification table with sensitivity and specificity, odds ratio table with 95% CIs, ROC curve and AUC, and APA-formatted results write-up.
This service suits clinical researchers, social scientists, epidemiologists, and business analysts conducting binary or categorical outcome regression analysis.
What the Freelancer needs to start the work
Please share your dataset, your binary or categorical outcome variable, your predictor list, your statistical software, your model-building approach, your research question, and your output and publication format requirements.