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...
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: | |
Online Access: | http://link.springer.com/article/10.1186/s12874-018-0605-8 |
Similar Items
-
Correction to: 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
by: Jacqueline E. Rudolph, et al.
Published: (2019-03-01) -
Deciphering the dilemma of parametric and nonparametric tests
by: Rakesh Kumar Rana, et al.
Published: (2016-01-01) -
Parametric and Nonparametric Frequentist Model Selection and Model Averaging
by: Aman Ullah, et al.
Published: (2013-09-01) -
Forecasting One-Day-Ahead Electricity Prices for Italian Electricity Market Using Parametric and Nonparametric Approaches
by: Ismail Shah, et al.
Published: (2020-01-01) -
A Semi parametric approach to dual modeling
by: Majid Navaee, et al.
Published: (2012-04-01)