Document Detail

Estimation of population size based on additive hazards models for continuous-time recapture experiments.
MedLine Citation:
PMID:  11315026     Owner:  NLM     Status:  MEDLINE    
We use the semiparametric additive hazards model to formulate the effects of individual covariates on the capture rates in the continuous-time capture-recapture experiment, and then construct a Horvitz-Thompson-type estimator for the unknown population size. The resulting estimator is consistent and asymptotically normal with an easily estimated variance. Simulation studies show that the asymptotic approximations are adequate for practical use when the average capture probabilities exceed .5. Ignoring covariates would underestimate the population size and the coverage probability is poor. A wildlife example is provided.
P S Yip; Y Zhou; D Y Lin; X Z Fang
Related Documents :
12040696 - Estimation of covariate-dependent markov transition probabilities from nested case-cont...
18618416 - Analysis of longitudinal data to evaluate a policy change.
19432786 - Bias reduction and a solution for separation of logistic regression with missing covari...
14980746 - Applying linear mixed models to estimate reliability in clinical trial data with repeat...
15554666 - Ensemble methods for classification in cheminformatics.
23387736 - Application of a spring-dashpot system to clinical lung tumor motion data.
Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, P.H.S.    
Journal Detail:
Title:  Biometrics     Volume:  55     ISSN:  0006-341X     ISO Abbreviation:  Biometrics     Publication Date:  1999 Sep 
Date Detail:
Created Date:  2001-04-20     Completed Date:  2001-08-16     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  0370625     Medline TA:  Biometrics     Country:  United States    
Other Details:
Languages:  eng     Pagination:  904-8     Citation Subset:  IM    
Department of Statistics, The University of Hong Kong, Hong Kong.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Data Interpretation, Statistical
Hong Kong
Population Density
Proportional Hazards Models*

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

Previous Document:  Estimating equations for parameters in stochastic growth models from tag-recapture data.
Next Document:  Regression analysis of doubly censored failure time data with applications to AIDS studies.