A study of interval censoring in parametric regression models

DOI10.1023/A:1009681919084zbMath0917.62085OpenAlexW131857772WikidataQ52227883 ScholiaQ52227883MaRDI QIDQ1277110

James K. Lindsey

Publication date: 5 July 1999

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

Full work available at URL: https://doi.org/10.1023/a:1009681919084

zbMATH Keywords

robustnessexponential distributioninterval censoringinverse Gaussian distributiongamma distributionWeibull distributionfinite mixture modelAICHIV infectionintensity functionlog normal distributiondispersion regressionlog Cauchy distributionlog Laplace distributionlog logistic distributionlog Student distributionnormed profile likelihood

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Point estimation (62F10) Generalized linear models (logistic models) (62J12)

Related Items (14)

Frequentist and Bayesian approaches for interval-censored data ⋮ Regression modelling of interval censored data based on the adaptive ridge procedure ⋮ Statistical inference based on left truncated and interval censored data from log-location-scale family of distributions ⋮ Bayesian inference of the Weibull model based on interval-censored survival data ⋮ Fast approximations of pseudo‐observations in the context of right censoring and interval censoring ⋮ Multitude of Laplace distributions ⋮ Estimation of parameters in Laplace distributions with interval censored data ⋮ Performance of parametric survival models under non-random interval censoring: a simulation study ⋮ Gompertz model with time-dependent covariate in the presence of interval-, right- and left-censored data ⋮ Tutorial on methods for interval-censored data and their implementation in R ⋮ Bayesian statistical inference of the loglogistic model with interval-censored lifetime data ⋮ Parametric regression model based on reversed hazard rate: an application to left censored heavy tailed HIV viral load data ⋮ Estimating Incidence Rate on Current Status Data with Application to a Phase IV Cancer Trial ⋮ A Logspline Estimation for a Linear Regression Model with an Interval-Censored Continuous Covariate

Uses Software

• R

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