Cargando…
Stratified sampling design and loss to follow-up in survival models: evaluation of efficiency and bias
BACKGROUND: Longitudinal studies often employ complex sample designs to optimize sample size, over-representing population groups of interest. The effect of sample design on parameter estimates is quite often ignored, particularly when fitting survival models. Another major problem in long-term coho...
Autores principales: | César, Cibele C, Carvalho, Marilia S |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3144452/ https://www.ncbi.nlm.nih.gov/pubmed/21703013 http://dx.doi.org/10.1186/1471-2288-11-99 |
Ejemplares similares
-
Design and analysis of stratified clinical trials in the presence of
bias
por: Hilgers, Ralf-Dieter, et al.
Publicado: (2019) -
Stratified Sampling Design Based on Data Mining
por: Kim, Yeonkook J., et al.
Publicado: (2013) -
Constructing efficient strata boundaries in stratified sampling using survey cost
por: Reddy, Karuna G., et al.
Publicado: (2023) -
Bias and Loss to Follow‐Up in Cardiovascular Randomized Trials: A Systematic Review
por: Fong, Lucas Chun Wah, et al.
Publicado: (2020) -
Risk‐based breast cancer follow‐up stratified by age
por: Witteveen, Annemieke, et al.
Publicado: (2018)