Chapter 3 describes the HSMR model methods and in chapter 4 the quality of the present HSMR model is evaluated. For the report see ‘HSMR 2023 Methodological report’. Excel file ‘Statistical ...

Unfortunately, another common problem in a logistic regression analysis is missing covariate data. With many nuisance parameters to eliminate and missing covariates, many investigators exclude any ...

The finite-sample properties of maximum likelihood and minimum chi square estimators in a simple dichotomous logit regression model are studied by Monte Carlo methods. Convergence of the regression ...