Conjoint measurement of disorder prevalence, test sensitivity, and test specificity: notes on Botella, Huang, and Suero's multinomial model

Frontiers in Psychology

Edgar Erdfelder¹ 

关键词: multinomial modeling;    validity;    diagnostic accuracy;    gold standard;    imperfect reference;   

DOI  :  10.3389/fpsyg.2013.00876

学科分类：心理学（综合）

来源: Frontiers

【 摘 要 】

Botella et al. (2013) proposed two useful multinomial models for conjoint measurement of disorder prevalence rates in different populations (e.g., prevalence rates of dementia) and both the sensitivity and the specificity of the test used to assess this disorder (e.g., the Mini Mental State Examination, MMSE; Folstein et al., 1975). Their first model requires a perfect indicator of the disorder (i.e., a gold standard, GS), whereas the second model provides for indicators not perfectly correlated with the disorder (i.e., imperfect references, IR). In line with Lazarsfeld's (1950) latent-class model, the only requirement of the latter model is local stochastic independence of the IR and the test-based classification, that is, stochastic independence of the IR and the test result within subpopulations of individuals with vs. without the disorder.

【 授权许可】

CC BY