Sieve Maximum Likelihood Estimator for Semiparametric Regression Models With Current Status Data
Sieve Maximum Likelihood Estimator for Semiparametric Regression Models With Current Status Data
About this item
Full title
Author / Creator
Xue, Hongqi , Lam, K. F and Li, Guoying
Publisher
Alexandria, VA: Taylor & Francis
Journal title
Language
English
Formats
Publication information
Publisher
Alexandria, VA: Taylor & Francis
Subjects
More information
Scope and Contents
Contents
In a randomized controlled clinical trial study where the response variable of interest is the time to occurrence of a certain event, it is often too expensive or even impossible to observe the exact time. However, the current status of the subject at a random time of inspection is much more natural, feasible, and practical in terms of cost-effecti...
Alternative Titles
Full title
Sieve Maximum Likelihood Estimator for Semiparametric Regression Models With Current Status Data
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_crossref_primary_10_1198_016214504000000313
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_1198_016214504000000313
Other Identifiers
ISSN
0162-1459
E-ISSN
1537-274X
DOI
10.1198/016214504000000313
