Cargando…
A comparison of analytic approaches for individual patient data meta-analyses with binary outcomes
BACKGROUND: Individual patient data meta-analyses (IPD-MA) are often performed using a one-stage approach-- a form of generalized linear mixed model (GLMM) for binary outcomes. We compare (i) one-stage to two-stage approaches (ii) the performance of two estimation procedures (Penalized Quasi-likelih...
Autores principales: | Thomas, Doneal, Platt, Robert, Benedetti, Andrea |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5312561/ https://www.ncbi.nlm.nih.gov/pubmed/28202011 http://dx.doi.org/10.1186/s12874-017-0307-7 |
Ejemplares similares
-
Systematic review of methods for individual patient data meta- analysis with binary outcomes
por: Thomas, Doneal, et al.
Publicado: (2014) -
Quantifying heterogeneity in individual participant data meta-analysis with binary outcomes
por: Chen, Bo, et al.
Publicado: (2017) -
Generalized Linear Mixed Models for Binary Data: Are Matching Results from Penalized Quasi-Likelihood and Numerical Integration Less Biased?
por: Benedetti, Andrea, et al.
Publicado: (2014) -
Evaluating the performance of propensity score matching based approaches in individual patient data meta-analysis
por: Johara, Fatema Tuj, et al.
Publicado: (2021) -
Comparison of predictor approaches for longitudinal binary outcomes: application to anesthesiology data
por: Aktas Samur, Anil, et al.
Publicado: (2014)