1.4k citations · 1.4k across the 11 of their papers we have counts for
11 papers
Simulating time-to-event data from parametric distributions, custom distributions, competing risk models and general multi-state models
Michael J. Crowther
In this paper I describe some substantial extensions to the survsim command for simulating survival data. survsim can now simulate survival data from a parametric distribution, a c…
Assessing and relaxing the Markov assumption in the illness-death model
Jonathan Broomfield, Caroline E. Weibull, Michael J. Crowther
Multi-state survival analysis considers several potential events of interest along a disease pathway. Such analyses are crucial to model complex patient trajectories and are increa…
A multi-state model incorporating estimation of excess hazards and multiple time scales
Caroline E. Weibull, Paul C. Lambert, Sandra Eloranta +3
As cancer patient survival improves, late effects from treatment are becoming the next clinical challenge. Chemotherapy and radiotherapy, for example, potentially increase the risk…
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…
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…
Using simulation studies to evaluate statistical methods
Tim P Morris, Ian R White, Michael J Crowther
Simulation studies are computer experiments that involve creating data by pseudorandom sampling. The key strength of simulation studies is the ability to understand the behaviour o…
Extended multivariate generalised linear and non-linear mixed effects models
Michael J. Crowther
Multivariate data occurs in a wide range of fields, with ever more flexible model specifications being proposed, often within a multivariate generalised linear mixed effects (MGLME…