Cargando…
On the Bias of Precision Estimation Under Separate Sampling
Observational case-control studies for biomarker discovery in cancer studies often collect data that are sampled separately from the case and control populations. We present an analysis of the bias in the estimation of the precision of classifiers designed on separately sampled data. The analysis co...
Autores principales: | Xie, Shuilian, Braga-Neto, Ulisses M |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6636226/ https://www.ncbi.nlm.nih.gov/pubmed/31360060 http://dx.doi.org/10.1177/1176935119860822 |
Ejemplares similares
-
The PROBIT approach in estimating the prevalence of wasting: revisiting bias and precision
por: Blanton, Curtis J, et al.
Publicado: (2013) -
Bayesian ABC-MCMC Classification of Liquid Chromatography–Mass Spectrometry Data
por: Banerjee, Upamanyu, et al.
Publicado: (2017) -
Distance sampling for epidemiology: an interactive tool for estimating under-reporting of cases from clinic data
por: Nelli, Luca, et al.
Publicado: (2020) -
Avoiding treatment bias of REDD+ monitoring by sampling with partial replacement
por: Köhl, Michael, et al.
Publicado: (2015) -
BPDA - A Bayesian peptide detection algorithm for mass spectrometry
por: Sun, Youting, et al.
Publicado: (2010)