Interval-censored data with misclassification: a Bayesian approach
From MaRDI portal
Publication:5861573
DOI10.1080/02664763.2020.1753025OpenAlexW3016495312MaRDI QIDQ5861573
Raquel de Souza Borges Ferreira, Magda Carvalho Pires, Guilherme Augusto Veloso, Enrico Antônio Colosimo
Publication date: 1 March 2022
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02664763.2020.1753025
Uses Software
Cites Work
- Non-parametric maximum likelihood estimation of interval-censored failure time data subject to misclassification
- Misclassification of current status data
- Semiparametric time to event models in the presence of error-prone, self-reported outcomes -- with application to the women's health initiative
- Confidence intervals for a binomial parameter based on binary data subject to false-positive misclassification
- Misclassification of the dependent variable in a discrete-response setting
- The statistical analysis of interval-censored failure time data.
- The effect of classification errors in survival data analysis
- Fully Nonparametric Regression Modelling of Misclassified Censored Time-to-Event Data
- Nonparametric discrete survival function estimation with uncertain endpoints using an internal validation subsample
- Bayesian Estimation of the Time-Varying Sensitivity of a Diagnostic Test with Application to Mother-to-Child Transmission of HIV
- Estimation of the Timing of Perinatal Transmission of HIV
- Discrete Proportional Hazards Models for Mismeasured Outcomes
- Sampling-Based Approaches to Calculating Marginal Densities
- Inference using surrogate outcome data and a validation sample
- Estimation of a failure time distribution based on imperfect diagnostic tests
- Product limit estimation for infectious disease data when the diagnostic test for the outcome is measured with uncertainty
- Survival Weibull regression model for mismeasured outcomes
- Modeling of Multivariate Monotone Disease Processes in the Presence of Misclassification
- Survival Analysis with Uncertain Endpoints
- Bayesian Measures of Model Complexity and Fit
- Tutorial on methods for interval-censored data and their implementation in R
- Semiparametric analysis of incomplete current status outcome data under transformation models
- Marginal Bayesian Semiparametric Modeling of Mismeasured Multivariate Interval-Censored Data
- A Bayesian Ordinal Logistic Regression Model to Correct for Interobserver Measurement Error in a Geographical Oral Health Study
- Bayesian survival analysis
This page was built for publication: Interval-censored data with misclassification: a Bayesian approach
