32 citations · 53 across the 4 of their papers we have counts for
4 papers
merlin: An R package for Mixed Effects Regression for Linear, Nonlinear and User-defined models
Emma C. Martin, Alessandro Gasparini, Michael J. Crowther
The R package merlin performs flexible joint modelling of hierarchical multi-outcome data. Increasingly, multiple longitudinal biomarker measurements, possibly censored time-to-eve…
INTEREST: INteractive Tool for Exploring REsults from Simulation sTudies
Alessandro Gasparini, Tim P. Morris, Michael J. Crowther
Simulation studies allow us to explore the properties of statistical methods. They provide a powerful tool with a multiplicity of aims; among others: evaluating and comparing new o…
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…