17 citations · 18 across the 4 of their papers we have counts for
4 papers · 1 filter
Impact of model misspecification in shared frailty survival models
Alessandro Gasparini, Mark S. Clements, Keith R. Abrams +1
Survival models incorporating random effects to account for unmeasured heterogeneity are being increasingly used in biostatistical and applied research. Specifically, unmeasured co…
Mixed effects models for healthcare longitudinal data with an informative visiting process: a Monte Carlo simulation study
Alessandro Gasparini, Keith R. Abrams, Jessica K. Barrett +4
Electronic health records are being increasingly used in medical research to answer more relevant and detailed clinical questions; however, they pose new and significant methodolog…
merlin - a unified modelling framework for data analysis and methods development in Stata
Michael J. Crowther
merlin can do a lot of things. From simple stuff, like fitting a linear regression or a Weibull survival model, to a three-level logistic mixed effects model, or a multivariate joi…
Joint longitudinal and time-to-event models for multilevel hierarchical data
Samuel L. Brilleman, Michael J. Crowther, Margarita Moreno-Betancur +6
Joint modelling of longitudinal and time-to-event data has received much attention recently. Increasingly, extensions to standard joint modelling approaches are being proposed to h…