Estimating prevalence and test accuracy in disease ecology: How Bayesian latent class analysis can boost or bias imperfect test results期刊界 All Journals 搜尽天下杂志传播学术成果专业期刊搜索期刊信息化学术搜索

Estimating prevalence and test accuracy in disease ecology: How Bayesian latent class analysis can boost or bias imperfect test results

Authors:	Sarah K. Helman Riley O. Mummah Katelyn M. Gostic Michael G. Buhnerkempe Katherine C. Prager James O. Lloyd‐Smith

Abstract:
Keywords:	Bayesian latent class California sea lion diagnostic test disease infection prevalence sensitivity specificity