10.6084/m9.figshare.5614966
Maria Sudell
Maria
Sudell
Catrin Tudur Smith
Catrin Tudur
Smith
François Gueyffier
François
Gueyffier
Ruwanthi Kolamunnage-Dona
Ruwanthi
Kolamunnage-Dona
Dataset for: Investigation of two stage meta-analysis methods for joint longitudinal and time-to-event data through simulation and real data application
Wiley
2017
Joint model
Meta-analysis
longitudinal
time-to-event
simulation
Statistics
Medicine
2017-12-18 06:02:01
Dataset
https://wiley.figshare.com/articles/dataset/Dataset_for_Investigation_of_two_stage_meta-analysis_methods_for_joint_longitudinal_and_time-to-event_data_through_simulation_and_real_data_application/5614966
Background: Joint modelling of longitudinal and time-to-event data is often preferred over separate longitudinal or time-to-event analyses as it can account for study dropout, error in longitudinally measured covariates, and correlation between longitudinal and time-to-event outcomes. The joint modelling literature focuses mainly on the analysis of single studies with no methods currently available for the meta-analysis of joint model estimates from multiple studies. Methods: We propose a two stage method for meta-analysis of joint model estimates. These methods are applied to the INDANA dataset to combine joint model estimates of systolic blood pressure (SBP) with time to death, time to myocardial infarction and time to stroke. Results are compared to meta-analyses of separate longitudinal or time-to-event models. A simulation study is conducted to contrast separate versus joint analyses over a range of scenarios. Results: Using the real dataset similar results were obtained using the separate and joint analyses. However, the simulation study indicated a benefit of use of joint rather than separate methods in a meta-analytic setting where association exists between the longitudinal and time-to-event outcomes. Conclusions: Where evidence of association between longitudinal and time-to-event outcomes exists, results from joint models over standalone analyses should be pooled in two stage meta-analyses.