Document Detail


The effect of incomplete follow-up.
MedLine Citation:
PMID:  1164529     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
By generating sampling distributions for each of three commonly used estimators for qz, the conditional probability of death in an interval, it is shown that the inclusion of subjects due for withdrawal introduces bias in all three, especially the "actuarial estimator" (Berkson and Gage [1950]). The bias is shown to depend on the proportion due for withdrawal and on the level of qz. Some practical suggestions are made for dealing with the bias.
Authors:
M E Drolette
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Publication Detail:
Type:  Journal Article; Research Support, U.S. Gov't, P.H.S.    
Journal Detail:
Title:  Biometrics     Volume:  31     ISSN:  0006-341X     ISO Abbreviation:  Biometrics     Publication Date:  1975 Mar 
Date Detail:
Created Date:  1975-12-11     Completed Date:  1975-12-11     Revised Date:  2007-11-15    
Medline Journal Info:
Nlm Unique ID:  0370625     Medline TA:  Biometrics     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  135-44     Citation Subset:  IM    
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MeSH Terms
Descriptor/Qualifier:
Breast Neoplasms / mortality
Female
Follow-Up Studies*
Humans
Models, Theoretical
Mortality*
Statistics as Topic
Time Factors

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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