Evaluation of the natural history of disease by combining incident and prevalent cohorts: application to the Nun Study

Parametric models for combined failure time data from an incident cohort study and a prevalent cohort study with follow-up

(2020) James McVittie et al.   International Journal of Biostatistics

Marginalized Frailty-Based Illness-Death Model: Application to the UK-Biobank Survival Data

(2020) Malka Gorfine et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Analysis of combined incident and prevalent cohort data under a proportional mean residual life model

(2019) Chi Hyun Lee et al.   STATISTICS IN MEDICINE

Semiparametric analysis of correlated and interval-censored event-history data

(2018) Daewoo Pak et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Benefits of combining prevalent and incident cohorts: An application to myotonic dystrophy

(2018) David B Wolfson et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

A multistate model for correlated interval-censored life history data in caries research

(2016) Daewoo Pak et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS

Markov transition model to dementia with death as a competing event

(2014) Shaoceng Wei et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Flexible Nonhomogeneous Markov Models for Panel Observed Data

(2011) Andrew C. Titman   BIOMETRICS

Joint analysis of prevalence and incidence data using conditional likelihood

(2009) O. Saarela et al.   BIOSTATISTICS

Analyzing Length-Biased Data With Semiparametric Transformation and Accelerated Failure Time Models

(2009) Yu Shen et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION