Modeling low birth weights using threshold regression: Results for U. S. birth data
type: Item
instance of: scholarly article
title: Modeling low birth weights using threshold regression: Results for U. S. birth data
zbMATH Open document ID: 1162.62439
author: Yi Su
author: G. A. Whitmore
published in: Lifetime Data Analysis
publication date: 2009-06-02T00:00:00Z
Mathematics Subject Classification ID: 62P10
Mathematics Subject Classification ID: 62M99
Mathematics Subject Classification ID: 60J70
zbMATH DE Number: 5560798
zbMATH Keywords: Bayes analysis
zbMATH Keywords: Birth data
zbMATH Keywords: Birth weight
zbMATH Keywords: Competing risks
zbMATH Keywords: Covariates
zbMATH Keywords: Fetal development
zbMATH Keywords: First hitting time
zbMATH Keywords: Gestational age
zbMATH Keywords: Health statistics
zbMATH Keywords: Inverse Gaussian distribution
zbMATH Keywords: Low birth weight
zbMATH Keywords: Mixture model
zbMATH Keywords: Model checking
zbMATH Keywords: Premature birth
zbMATH Keywords: Preterm birth
zbMATH Keywords: Statistical inference
zbMATH Keywords: Statistical model
zbMATH Keywords: Subsampling
zbMATH Keywords: Threshold regression
zbMATH Keywords: Wiener stochastic process
zbMATH Keywords: \(z\)-score
MaRDI profile type: Publication
full work available at URL: s10985-006-9032-y
OpenAlex ID: W2034713917
Wikidata QID: Q31098917
cites work: Q4692900
cites work: Q5528194
cites work: Modeling menstrual cycle length using a mixture distribution
cites work: A Model for Markers and Latent Health Status
cites work: Threshold regression for survival analysis: modeling event times by a stochastic process reaching a boundary
cites work: A regression method for censored inverse-Gaussian data
DOI: 10.1007/S10985-006-9032-Y
description: scientific article; zbMATH DE number 5560798