Modeling low birth weights using threshold regression: Results for U. S. birth data

DOI10.1007/s10985-006-9032-yzbMath1162.62439OpenAlexW2034713917WikidataQ31098917 ScholiaQ31098917MaRDI QIDQ1019462

Yi Su, George A. Whitmore

Publication date: 2 June 2009

Published in: Lifetime Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10985-006-9032-y

zbMATH Keywords

Statistical inferenceCompeting risksSubsamplingModel checkingCovariatesFirst hitting timeBayes analysisMixture model\(z\)-scoreBirth dataBirth weightFetal developmentGestational ageHealth statisticsInverse Gaussian distributionLow birth weightPremature birthPreterm birthStatistical modelThreshold regressionWiener stochastic process

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Inference from stochastic processes (62M99) Applications of Brownian motions and diffusion theory (population genetics, absorption problems, etc.) (60J70)

Related Items (6)

Semi-parametric survival analysis via Dirichlet process mixtures of the first hitting time model ⋮ Constructing Normalcy and Discrepancy Indexes for Birth Weight and Gestational Age Using a Threshold Regression Mixture Model ⋮ Review and implementation of cure models based on first hitting times for Wiener processes ⋮ Semiparametric predictive inference for failure data using first-hitting-time threshold regression ⋮ A mixed effects log-linear model based on the Birnbaum-Saunders distribution ⋮ Proportional hazards and threshold regression: their theoretical and practical connections

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