has part has_specified_input has_specified_output achieves_planned_objective data transformation number of degrees of freedom binomial logistic regression for analysis of dichotomous dependent variable goodness of fit statistical test goodness of fit testing objective Chi-square probability distribution regression model Hosmer-Lemeshow goodness-of-fit test The Hosmer-Lemeshow test is a statistical test used to assess the goodness of fit of a logistic regression model. It evaluates how well the predicted probabilities from the model match the observed outcomes in the data. The test helps determine whether the logistic regression model adequately captures the relationship between the predictor variables and the binary outcome variable. The test statistic follows a chi-square distribution with degrees of freedom equal to the number of groups minus the number of parameters estimated in the logistic regression model. STATO adapted from ChatGPT3.5 with the following prompt: "define Hosmer-Lemeshow test in statistics" hltest(model, verbose = TRUE, ...) from: https://search.r-project.org/CRAN/refmans/glmtoolbox/html/hltest.html Philippe Rocca-Serra p-value ready for release