scholarly journals A modified Latent Class Model assessment of human papillomavirus-based screening tests for cervical lesions in women with atypical glandular cells: a Gynecologic Oncology Group study

2012 ◽  
Vol 23 (12) ◽  
pp. 2013-2021 ◽  
Author(s):  
Randy L. Carter ◽  
Le Kang ◽  
Kathleen M. Darcy ◽  
James Kauderer ◽  
Shu-Yuan Liao ◽  
...  
Keyword(s):  
Latent Class ◽  
Latent Class Model ◽  
Gynecologic Oncology ◽  
Screening Tests ◽  
Gynecologic Oncology Group ◽  
Model Assessment ◽  
Cervical Lesions ◽  
Class Model ◽  
Glandular Cells ◽  
Atypical Glandular Cells

scholarly journals A General Latent Class Model for Performance Evaluation of Diagnostic Tests in the Absence of a Gold Standard: An Application to Chagas Disease

2012 ◽  
Vol 2012 ◽  
pp. 1-12 ◽  
Author(s):  
Gilberto de Araujo Pereira ◽  
Francisco Louzada ◽  
Valdirene de Fátima Barbosa ◽  
Márcia Maria Ferreira-Silva ◽  
Helio Moraes-Souza
Keyword(s):  
Chagas Disease ◽  
General Model ◽  
Gold Standard ◽  
Diagnostic Tests ◽  
Latent Class ◽  
Latent Class Model ◽  
False Negative ◽  
Screening Tests ◽  
Class Model ◽  
Suitable Alternative

We propose a new general Bayesian latent class model for evaluation of the performance of multiple diagnostic tests in situations in which no gold standard test exists based on a computationally intensive approach. The modeling represents an interesting and suitable alternative to models with complex structures that involve the general case of several conditionally independent diagnostic tests, covariates, and strata with different disease prevalences. The technique of stratifying the population according to different disease prevalence rates does not add further marked complexity to the modeling, but it makes the model more flexible and interpretable. To illustrate the general model proposed, we evaluate the performance of six diagnostic screening tests for Chagas disease considering some epidemiological variables. Serology at the time of donation (negative, positive, inconclusive) was considered as a factor of stratification in the model. The general model with stratification of the population performed better in comparison with its concurrents without stratification. The group formed by the testing laboratory Biomanguinhos FIOCRUZ-kit (c-ELISA and rec-ELISA) is the best option in the confirmation process by presenting false-negative rate of 0.0002% from the serial scheme. We are 100% sure that the donor is healthy when these two tests have negative results and he is chagasic when they have positive results.

scholarly journals Customers’ Mode Choice Behaviors of Express Service Based on Latent Class Analysis and Logit Model

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Lian Lian ◽  
Shuo Zhang ◽  
Zhong Wang ◽  
Kai Liu ◽  
Lihuan Cao
Keyword(s):  
Logit Model ◽  
Choice Behavior ◽  
Latent Class ◽  
Latent Class Model ◽  
Policy Research ◽  
Multinomial Logit Model ◽  
Class Model ◽  
Taste Heterogeneity ◽  
Using Data ◽  
Service Choice

As the parcel delivery service is booming in China, the competition among express companies intensifies. This paper employed multinomial logit model (MNL) and latent class model (LCM) to investigate customers’ express service choice behavior, using data from a SP survey. The attributes and attribute levels that matter most to express customers are identified. Meanwhile, the customers are divided into two segments (penny pincher segment and high-end segment) characterized by their taste heterogeneity. The results indicate that the LCM performs statistically better than MNL in our sample. Therefore, more attention should be paid to the taste heterogeneity, especially for further academic and policy research in freight choice behavior.

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