Misclassification of current status data
نویسندگان
چکیده
منابع مشابه
Nonparametric and Semiparametric Analysis of Current Status Data Subject to Outcome Misclassification.
In this article, we present nonparametric and semiparametric methods to analyze current status data subject to outcome misclassification. Our methods use nonparametric maximum likelihood estimation (NPMLE) to estimate the distribution function of the failure time when sensitivity and specificity are known and may vary among subgroups. A nonparametric test is proposed for the two sample hypothes...
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We study nonparametric estimation with two types of data structures. In the rst data structure we observe n i.i.d. copies of (C; N (C)), where N is a counting process and C a random monitoring time. In the second data structure we observe n i.i.d. copies of (C ^ T ; I (T C); N (C ^ T)), where N is a counting process with a nal jump at time T (e.g. death). This data structure includes observing ...
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Group testing, introduced by Dorfman (1943), has been used to reduce costs when estimating the prevalence of a binary characteristic based on a screening test of [Formula: see text] groups that include [Formula: see text] independent individuals in total. If the unknown prevalence is low and the screening test suffers from misclassification, it is also possible to obtain more precise prevalence...
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The likelihood ratio statistic for testing pointwise hypotheses about the survival time distribution in the current status model can be inverted to yield confidence intervals. One advantage of this procedure is that confidence intervals can be formed without estimating the unknown parameters that figure in the asymptotic distribution of the MLE of the distribution function. We discuss the likel...
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Current status data arise in studies where the target measurement is the time of occurrence of some event, but observations are limited to indicators of whether or not the event has occurred at the time the sample is collected--only the current status of each individual with respect to event occurrence is observed. Examples of such data arise in several fields, including demography, epidemiolog...
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ژورنال
عنوان ژورنال: Lifetime Data Analysis
سال: 2010
ISSN: 1380-7870,1572-9249
DOI: 10.1007/s10985-010-9154-0