The Community Guide

- gsearch

Search Results

Narrow Results:

2020 1
2019 1

Journal Article 2

1 - 2 of 2 Results

Refine Results

Refine Results:

Methods to Account for Uncertainty in Latent Class Assignments When Using Latent Classes as Predictors in Regression Models, with Application to Acculturation Strategy Measures

CITE Title : Methods to Account for Uncertainty in Latent Class Assignments When Using Latent Classes as Predictors in Regression Models, with Application to Acculturation Strategy Measures Personal Author(s) : Elliott, Michael R.;Zhao, Zhangchen;Mukherjee, Bhramar;Kanaya, Alka;Needham, Belinda L.; Published Date : 2020 Mar Source : Epidemiology. 31(2):194-204 URL : https://stacks.cdc.gov/view/cdc/93490 Elliott, Michael R. et al. (2020). Methods to Account for Uncertainty in Latent Class Assignments When Using Latent Classes as Predictors in Regression Models, with Application to Acculturation Strategy Measures. 31(2). Elliott, Michael R. et al. "Methods to Account for Uncertainty in Latent Class Assignments When Using Latent Classes as Predictors in Regression Models, with Application to Acculturation Strategy Measures" 31, no. 2 (2020) Elliott, Michael R. et al. "Methods to Account for Uncertainty in Latent Class Assignments When Using Latent Classes as Predictors in Regression Models, with Application to Acculturation Strategy Measures" vol. 31, no. 2, 2020 Export RIS Citation Information.

:

Elliott, Michael R. ;

Zhao, Zhangchen

2020 Mar | Epidemiology. 31(2):194-204

:

Latent class models have become a popular means of summarizing survey questionnaires and other large sets of categorical variables. Often these classe...
An Empirical Validation of the Within-subject Biospecimens Pooling Approach to Minimize Exposure Misclassification in Biomarker-based Studies

CITE Title : An Empirical Validation of the Within-subject Biospecimens Pooling Approach to Minimize Exposure Misclassification in Biomarker-based Studies Personal Author(s) : Vernet, Céline;Philippat, Claire;Agier, Lydiane;Calafat, Antonia M.;Ye, Xiaoyun;Lyon-Caen, Sarah;Hainaut, Pierre;Siroux, Valérie;Schisterman, Enrique F.;Slama, Rémy; Published Date : 9 2019;9-2019; Source : Epidemiology. 30(5):756-767 URL : https://stacks.cdc.gov/view/cdc/116095 Vernet, Céline et al. (2019). An Empirical Validation of the Within-subject Biospecimens Pooling Approach to Minimize Exposure Misclassification in Biomarker-based Studies. 30(5). Vernet, Céline et al. "An Empirical Validation of the Within-subject Biospecimens Pooling Approach to Minimize Exposure Misclassification in Biomarker-based Studies" 30, no. 5 (2019) Vernet, Céline et al. "An Empirical Validation of the Within-subject Biospecimens Pooling Approach to Minimize Exposure Misclassification in Biomarker-based Studies" vol. 30, no. 5, 2019 Export RIS Citation Information.

:

Vernet, Céline ;

Philippat, Claire

9 2019 | Epidemiology. 30(5):756-767

:

Background:Within-subject biospecimens pooling can theoretically reduce bias in dose–response functions from biomarker-based studies when exposure a...