The Analysis of Retrospectively Ascertained Data in the Presence of Reporting Delays

DOI10.2307/2290270zbMath0781.62182OpenAlexW3143273825MaRDI QIDQ4031148

Mei-Cheng Wang

Publication date: 1 April 1993

Full work available at URL: https://doi.org/10.2307/2290270

zbMATH Keywords

weight functionsemiparametricconditional likelihoodfailure time datareporting delaysretrospective samplingsurvival studiesblood transfusion dataestimation of the expected number of eventsright-truncated data

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05)

Related Items (5)

Density estimation under a two-sample semiparametric model ⋮ Discrete‐Time Nonparametric Estimation for Semi‐Markov Models of Chain‐of‐Events Data Subject to Interval Censoring and Truncation ⋮ Analysis of two-sample truncated data using generalized logistic models ⋮ A class of semiparametric rank-based tests for right-truncated data ⋮ Estimation of a monotone density in \(s\)-sample biased sampling models

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