Lectures related to Boschloo's test

Binary Covariate Impact: 2x2 Contingency Tables

Explores the impact of a binary covariate on binary responses using 2x2 tables.

Algebraic statistics: tables and networks

Explores algebraic statistics, log-linear models, and network testing for model goodness of fit.

Survival Analysis: Age and Sex Effects

Explores survival analysis, logistic regression challenges, and contingency tables in medical statistics.

Jacamar Data Analysis

Covers jacamar data analysis, smoking data models, and challenges with log-linear models in visual impairment data.

Statistics Essentials: Chi-Square Test

Covers the Chi-square test to assess relationships between categorical variables through contingency tables.

Two-way ANOVA and Chi-square Test

Explores two-way ANOVA, chi-square test, model comparison, and variable transformation for statistical analysis.

Categorical Data Analysis: Methods and Examples

Explores the analysis of categorical and discrete data with examples.

Generalized Linear Models II: GLM Extensions

Covers advanced topics in Generalized Linear Models, focusing on link functions, error distributions, and model interpretation.

Estimation of Theoretical Frequencies

Covers the estimation of theoretical frequencies and independence testing between two characteristics, with examples for practical application.

Generalized Linear Models: Examples and Applications

Explores special examples of Generalized Linear Models, covering logistic regression, count data models, separation issues, and nonparametric relationships.

Likelihood Inference

Covers iterative weighted least squares, Poisson regression, mixed models, and likelihood ratio statistic.

Modern Regression: Spring Barley Data

Covers inference, weighted least squares, spring barley data analysis, and smoothing techniques.

Inference: Poisson Regression

Covers iterative weighted least squares, model checking, Poisson regression, and fitting multinomial models using Poisson errors.

Inference: Model Checking

Covers iterative weighted least squares, generalized linear models, and model checking.

Modern Regression: Inference and Models

Covers iterative weighted least squares, model checking, and generalized linear models in regression analysis.

Modern Regression: Overdispersion and Model Assessment

Explores overdispersion, model assessment, and regression techniques for count data.

Categorical Data Analysis: Poisson GLM

Explores Poisson GLM for analyzing count data in categorical analysis, focusing on contingency tables and Bayesian inference.