Cargando…
Validity of using multiple imputation for "unknown" stage at diagnosis in population-based cancer registry data
BACKGROUND: The multiple imputation approach to missing data has been validated by a number of simulation studies by artificially inducing missingness on fully observed stage data under a pre-specified missing data mechanism. However, the validity of multiple imputation has not yet been assessed usi...
Autores principales: | Luo, Qingwei, Egger, Sam, Yu, Xue Qin, Smith, David P., O’Connell, Dianne L. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5487067/ https://www.ncbi.nlm.nih.gov/pubmed/28654653 http://dx.doi.org/10.1371/journal.pone.0180033 |
Ejemplares similares
-
Cancer-related hospitalisations and ‘unknown’ stage prostate cancer: a population-based record linkage study
por: Luo, Qingwei, et al.
Publicado: (2017) -
Phase of care prevalence for prostate cancer in New South Wales, Australia: A population-based modelling study
por: Yu, Xue Qin, et al.
Publicado: (2017) -
Increased risk of suicide in New South Wales men with prostate cancer: Analysis of linked population-wide data
por: Smith, David P., et al.
Publicado: (2018) -
Multiple imputation is better than KDIGO guidelines for estimating unknown baseline renal function
por: Jamme, Matthieu, et al.
Publicado: (2016) -
A population-based study of breast cancer prevalence in Australia: predicting the future health care needs of women living with breast cancer
por: Yu, Xue Qin, et al.
Publicado: (2014)