Bayesian modelling of imperfect ascertainment methods in cancer studies.
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Estimation of diagnostic test accuracy without full verification: a review of latent class methodsSummary diagnostic validity of commonly used maternal major depression disorder case finding instruments in the United States: A meta-analysis.Using a web-based application to define the accuracy of diagnostic tests when the gold standard is imperfect.Robustness of prevalence estimates derived from misclassified data from administrative databases.Surveillance of systemic autoimmune rheumatic diseases using administrative data.Behavioral and clinical factors associated with self-reported abnormal Papanicolaou tests in rheumatoid arthritisThe reliability of hospital and pharmaceutical data to assess prevalent cases of chronic obstructive pulmonary disease.Rheumatoid arthritis prevalence in Quebec.Fine particulate air pollution, nitrogen dioxide, and systemic autoimmune rheumatic disease in Calgary, AlbertaBayesian Latent Class Models in malaria diagnosis.Bayesian meta-analysis of diagnostic tests allowing for imperfect reference standards.Bayesian meta-analysis of the accuracy of a test for tuberculous pleuritis in the absence of a gold standard reference.
P2860
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P2860
Bayesian modelling of imperfect ascertainment methods in cancer studies.
description
2005 nî lūn-bûn
@nan
2005年の論文
@ja
2005年論文
@yue
2005年論文
@zh-hant
2005年論文
@zh-hk
2005年論文
@zh-mo
2005年論文
@zh-tw
2005年论文
@wuu
2005年论文
@zh
2005年论文
@zh-cn
name
Bayesian modelling of imperfect ascertainment methods in cancer studies.
@ast
Bayesian modelling of imperfect ascertainment methods in cancer studies.
@en
type
label
Bayesian modelling of imperfect ascertainment methods in cancer studies.
@ast
Bayesian modelling of imperfect ascertainment methods in cancer studies.
@en
prefLabel
Bayesian modelling of imperfect ascertainment methods in cancer studies.
@ast
Bayesian modelling of imperfect ascertainment methods in cancer studies.
@en
P2093
P2860
P356
P1476
Bayesian modelling of imperfect ascertainment methods in cancer studies.
@en
P2093
Andrew Moore
Ann Clarke
Jean-François Boivin
Lawrence Joseph
Patrick Bélisle
Raghu Rajan
Sasha Bernatsky
P2860
P304
P356
10.1002/SIM.2116
P407
P577
2005-08-01T00:00:00Z