Parametric assumptions equate to hidden observations: comparing the efficiency of nonparametric and parametric models for estimating time to AIDS or death in a cohort of HIV-positive women

Parametric assumptions equate to hidden observations: comparing the efficiency of nonparametric and parametric models for estimating time to AIDS or death in a cohort of HIV-positive women

Abstract Background When conducting a survival analysis, researchers might consider two broad classes of models: nonparametric models and parametric models. While nonparametric models are more flexible because they make few assumptions regarding the shape of the data distribution, parametric models...

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Bibliographic Details
Main Authors: Jacqueline E. Rudolph, Stephen R. Cole, Jessie K. Edwards
Format: Article
Language:English
Published: BMC 2018-11-01
Series:BMC Medical Research Methodology
Subjects:
Survival analysis
Nonparametric model
Parametric model
Statistical efficiency
Online Access:http://link.springer.com/article/10.1186/s12874-018-0605-8

Internet

http://link.springer.com/article/10.1186/s12874-018-0605-8

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