Estimating disease prevalence in the absence of a gold standard.
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Rapid tests for the diagnosis of visceral leishmaniasis in patients with suspected diseaseRapid diagnostic tests for visceral leishmaniasisEstimating the sensitivity and specificity of Kato-Katz stool examination technique for detection of hookworms, Ascaris lumbricoides and Trichuris trichiura infections in humans in the absence of a 'gold standard'Bias in logistic regression due to imperfect diagnostic test results and practical correction approachesEstimation of diagnostic test accuracy without full verification: a review of latent class methodsA Bayesian model for misclassified binary outcomes and correlated survival data with applications to breast cancer.Inference on cancer screening exam accuracy using population-level administrative data.Robustness of prevalence estimates derived from misclassified data from administrative databases.Assessing the impact of misclassification error on an epidemiological association between two helminthic infectionsOn the estimation of disease prevalence by latent class models for screening studies using two screening tests with categorical disease status verified in test positives onlyModeling continuous diagnostic test data using approximate Dirichlet process distributions.A two-stage Bayesian method for estimating accuracy and disease prevalence for two dependent dichotomous screening tests when the status of individuals who are negative on both tests is unverifiedReporting diarrhoea through a vernacular term in Quechua-speaking settings of rural BoliviaDiagnosis of cystic echinococcosis, central Peruvian Highlands.Bayesian analysis and classification of two enzyme-linked immunosorbent assay tests without a gold standard.Truth or consequences: the intertemporal consistency of adolescent self-report on the Youth Risk Behavior Survey.Binomial regression with a misclassified covariate and outcome.Bias due to composite reference standards in diagnostic accuracy studies.Chapter 9: options for summarizing medical test performance in the absence of a "gold standard".Bayesian meta-analysis of diagnostic tests allowing for imperfect reference standards.Latent class models in diagnostic studies when there is no reference standard--a systematic review.Diagnostic tests for kala-azar: a multi-centre study of the freeze-dried DAT, rK39 strip test and KAtex in East Africa and the Indian subcontinent.Bayesian latent class models with conditionally dependent diagnostic tests: a case study.Bayesian estimation of the probability of asbestos exposure from lung fiber counts.Bayesian analysis of diagnostic test accuracy when disease state is unverified for some subjects.The impact of ignoring measurement error when estimating sample size for epidemiologic studies.Experience with reviewing Bayesian medical device trials.A cautionary note on the robustness of latent class models for estimating diagnostic error without a gold standard.Evaluation of incomplete multiple diagnostic tests, with an application in the colon cancer family registry study
P2860
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P2860
Estimating disease prevalence in the absence of a gold standard.
description
2002 nî lūn-bûn
@nan
2002年の論文
@ja
2002年学术文章
@wuu
2002年学术文章
@zh
2002年学术文章
@zh-cn
2002年学术文章
@zh-hans
2002年学术文章
@zh-my
2002年学术文章
@zh-sg
2002年學術文章
@yue
2002年學術文章
@zh-hant
name
Estimating disease prevalence in the absence of a gold standard.
@en
Estimating disease prevalence in the absence of a gold standard.
@nl
type
label
Estimating disease prevalence in the absence of a gold standard.
@en
Estimating disease prevalence in the absence of a gold standard.
@nl
prefLabel
Estimating disease prevalence in the absence of a gold standard.
@en
Estimating disease prevalence in the absence of a gold standard.
@nl
P2860
P356
P1476
Estimating disease prevalence in the absence of a gold standard.
@en
P2860
P304
P356
10.1002/SIM.1178
P407
P577
2002-09-01T00:00:00Z