Estimation from current-status data in continuous time

DOI10.1007/BF00128570zbMath0859.62095OpenAlexW1988362870WikidataQ36893446 ScholiaQ36893446MaRDI QIDQ1125985

Niels Keiding, Kamilla Begtrup, Thomas H. Scheike, Günther Hasibeder

Publication date: 23 February 1997

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

Full work available at URL: https://doi.org/10.1007/bf00128570

zbMATH Keywords

smoothing splinesbasic reproduction numbernonparametric maximum likelihood estimatorcontinuous-time modelsWeibull survival distributionage-specific immunization intensitiesage-specific incidencecurrent-status dataseroprevalence survey

Mathematics Subject Classification ID

Epidemiology (92D30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Point estimation (62F10)

Related Items

Adaptive penalized M-estimation with current status data, Estimation of the Force of Infection from Current Status Data Using Generalized Linear Mixed Models, Likelihood based inference for current status data on a grid: a boundary phenomenon and an adaptive inference procedure, Estimation of smooth regression functions in monotone response models, Inference for Constrained Estimation of Tumor Size Distributions, Nonparametric Bayesian estimation of a concave distribution function with mixed interval censored data, A transformation approach for the analysis of interval-censored failure time data, Handling missingness when modeling the force of infection from clustered seroprevalence data, Multi-state models for event history analysis, Nonparametric estimation of time-to-event distribution based on recall data in observational studies, Confidence Intervals for Current Status Data, Estimating Herd-Specific Force of Infection by Using Random-Effects Models for Clustered Binary Data and Monotone Fractional Polynomials, Confidence Intervals for the Current Status Model

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