An overview of methods for interval-censored data with an emphasis on applications in dentistry
From MaRDI portal
Publication:3409791
DOI10.1191/0962280205SM417OAzbMath1099.62130OpenAlexW2156230899WikidataQ31026279 ScholiaQ31026279MaRDI QIDQ3409791
Arnošt Komárek, Dominique Declerck, Emmanuel Lesaffre
Publication date: 20 November 2006
Published in: Statistical Methods in Medical Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1191/0962280205sm417oa
Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01) Reliability and life testing (62N05)
Related Items (10)
Computing the log concave NPMLE for interval censored data ⋮ Fast approximations of pseudo‐observations in the context of right censoring and interval censoring ⋮ Semi-parametric frailty model for clustered interval-censored data ⋮ Modeling Bromus diandrus seedling emergence using nonparametric estimation ⋮ Different approaches for modeling grouped survival data: a mango tree study ⋮ 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 ⋮ The regression analysis of correlated interval-censored data ⋮ Oral health research: A source for innovative new statistical developments
Uses Software
Cites Work
- Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
- Computationally simple accelerated failure time regression for interval censored data
- Weighted Kaplan-Meier Statistics: A Class of Distance Tests for Censored Survival Data
- Rank-based inference in the proportional hazards model for interval censored data
- Partial likelihood
- Linear rank tests with right censored data
- Hazard Function Estimation Using B-Splines
- Rank Invariant Tests for Interval Censored Data under the Grouped Continuous Model
- Hazard Regression with Interval-Censored Data
- On modelling mean-covariance structures in longitudinal studies
- A Markov Chain Monte Carlo EM Algorithm for Analyzing Interval-Censored Data under the Cox Proportional Hazards Model
- Fundamentals of Survival Data
- Local EM Estimation of the Hazard Function for Interval‐Censored Data
- A Linear Mixed‐Effects Model for Multivariate Censored Data
- A Multiple Imputation Approach to Cox Regression with Interval‐Censored Data
- Semiparametric Regression Analysis of Interval‐Censored Data
- A Proportional Hazards Model for Interval-Censored Failure Time Data
- A Two-Sample Test for Stochastic Ordering with Interval-Censored Data
- Regression with interval-censored data
- Joint mean-covariance models with applications to longitudinal data: unconstrained parameterisation
- A generalized Wilcoxon test for comparing arbitrarily singly-censored samples
- A multiple imputation approach to linear regression with clustered censored data
- A new look at the statistical model identification
This page was built for publication: An overview of methods for interval-censored data with an emphasis on applications in dentistry
