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(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2023)
Abstract We derive approximations to the bias and squared bias with errors of order where is the sample size. Our results hold for a large class of estimators, including quantiles, transformations of unbiased estimators, ...
(Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2023)
There are few computational and methodological tools available for the analysis of general multi-state models with interval censoring. Here, we propose a general framework for parametric inference with interval censored ...