This study examines the properties of the linear probability difference-indifferences estimator when the data are in fact generated by a single-decrement, continuous-time hazard process. We focus on ...

Linear mixed models (LMMs) serve as a versatile statistical framework, combining fixed effects that capture the overall trends with random effects that account for variability across subjects, ...

We study maximum likelihood estimation in log-linear models under conditional Poisson sampling schemes. We derive necessary and sufficient conditions for existence of the maximum likelihood estimator ...