A Flexible Parametric Model for Combining Current Status and Age at First Diagnosis Data

DOI10.1111/j.0006-341X.2001.00396.xzbMath1209.62280OpenAlexW2149388812WikidataQ30654594 ScholiaQ30654594MaRDI QIDQ3078744

Donna Baird, David B. Dunson

Publication date: 1 March 2011

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.0006-341x.2001.00396.x

zbMATH Keywords

survival analysisinterval censoringlatencyproportional oddscoarse datathree-state modelinformative missingnessuterine fibroids

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Applications of statistics to biology and medical sciences; meta analysis (62P10) Point estimation (62F10) Medical applications (general) (92C50)

Related Items (5)

Current status observation of a three-state counting process with application to simultaneous accurate and diluted HIV test data ⋮ Regression Analysis of a Disease Onset Distribution Using Diagnosis Data ⋮ A Proportional Hazards Model for Incidence and Induced Remission of Disease ⋮ Bayesian Modeling of Incidence and Progression of Disease from Cross-Sectional Data ⋮ A Model to Estimate Risk of Infection with Human Herpesvirus 8 Associated with Transfusion from Cross‐Sectional Data

Cites Work

• Unnamed Item
• Analysis of Doubly-Censored Survival Data, with Application to AIDS
• Quadratic loss of order restricted estimators for treatment means with a control
• Ignorability and coarse data
• Confidence interval estimation subject to order restrictions
• Generalized additive models for current status data
• Multi-state models in epidemiology
• A Semiparametric Proportional Odds Regression Model for the Analysis of Current Status Data
• Evaluating Constraints That Allow Survival-Adjusted Incidence Analyses in Single-Sacrifice Studies
• The Analysis of Current Status Data on Point Processes
• Stochastic Algorithms for Markov Models Estimation with Intermittent Missing Data
• A Penalized Likelihood Approach for a Progressive Three‐State Model with Censored and Truncated Data: Application to AIDS
• Ignorability and Coarse Data: Some Biomedical Examples
• Estimating a Markov Transition Matrix from Observational Data
• Estimation of the Infection Time and Latency Distribution of AIDS with Doubly Censored Data
• Regression with interval-censored data
• Semiparametric Estimation in a Three-State Duration-Dependent Markov Model from Interval-Censored Observations with Application to AIDS Data
• Miscellanea. On nonidentifiability and noninformative censoring for current status data

This page was built for publication: A Flexible Parametric Model for Combining Current Status and Age at First Diagnosis Data