Bias from a missing covariate in the analysis of diagnostic test data in the absence of a gold-standard
Covariates that influence the sensitivity and/or specificity of different diagnostic tests can create correlations between these tests, conditional on disease status. Thus, ignoring such covariates in a latent class analysis of imperfect tests would amount to ignoring conditional dependence, potenti...
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| Format: | Others |
| Language: | en |
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McGill University
2013
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| Online Access: | http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=119705 |