Document Detail


A modification of a continuous time model for first conception.
MedLine Citation:
PMID:  1254076     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The interval between marriage and the first conception leading to a live birth plays an important role in the determination of fertility components. Several probability models (Potter and Parker, 1964; Singh, 1961, 1964, 1967) based on varying sets of assumptions relating to this interval have been propounded in the recent past. All of them are based on the assumption that the females under study are susceptible to conception at the time of marriage. However, in certain situations, where some of the females already pregnant at the time of marriage report to have conceived within a short interval following marriage, this condition is not satisfied and these models become unsuitable. A probability distribution which is an inflated form of the continuous model proposed by Singh, for the time of the first conception leading to a live birth, is presented in this paper. It describes reasonably well the data on first conception times in the context of premarital conceptions. Simple expressions for the maximum likelihood estimators of the parameters involved in the model are obtained and a method for finding the asymptotic covariance matrix of the estimators is outlined. The model is applied to four sets of data.
Authors:
S N Singh; K C Chakrabarty; V K Singh
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Demography     Volume:  13     ISSN:  0070-3370     ISO Abbreviation:  Demography     Publication Date:  1976 Feb 
Date Detail:
Created Date:  1976-05-10     Completed Date:  1976-05-10     Revised Date:  2004-11-17    
Medline Journal Info:
Nlm Unique ID:  0226703     Medline TA:  Demography     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  37-44     Citation Subset:  IM    
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MeSH Terms
Descriptor/Qualifier:
Female
Fertility
Humans
Marriage
Models, Theoretical*
Pregnancy
Probability
Taiwan
United States

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


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