Year |
Citation |
Score |
2020 |
Lee JW, Chung H. A multivariate latent class profile analysis for longitudinal data with a latent group variable Communications For Statistical Applications and Methods. 27: 15-35. DOI: 10.29220/Csam.2020.27.1.015 |
0.364 |
|
2017 |
Jeon S, Lee J, Anthony JC, Chung H. Latent Class Analysis for Multiple Discrete Latent Variables: A Study on the Association Between Violent Behavior Drug-Using Behaviors. Structural Equation Modeling : a Multidisciplinary Journal. 24: 911-925. PMID 30828241 DOI: 10.1080/10705511.2017.1340844 |
0.311 |
|
2017 |
Lee JW, Chung H. Latent class analysis with multiple latent group variables Communications For Statistical Applications and Methods. 24: 173-191. DOI: 10.5351/Csam.2017.24.2.173 |
0.308 |
|
2013 |
Harel O, Chung H, Miglioretti D. Latent class regression: inference and estimation with two-stage multiple imputation. Biometrical Journal. Biometrische Zeitschrift. 55: 541-53. PMID 23712802 DOI: 10.1002/Bimj.201200020 |
0.36 |
|
2013 |
Chung H, Anthony JC. A Bayesian Approach to a Multiple-Group Latent Class-Profile Analysis: The Timing of Drinking Onset and Subsequent Drinking Behaviors Among U.S. Adolescents Structural Equation Modeling. 20: 658-680. DOI: 10.1080/10705511.2013.824783 |
0.384 |
|
2013 |
Chang H, Chung H. Dealing with multiple local modalities in latent class profile analysis Computational Statistics & Data Analysis. 68: 296-310. DOI: 10.1016/J.Csda.2013.07.016 |
0.349 |
|
2012 |
Mudd LM, Pivarnik J, Holzman CB, Paneth N, Pfeiffer K, Chung H. Leisure-time physical activity in pregnancy and the birth weight distribution: where is the effect? Journal of Physical Activity & Health. 9: 1168-77. PMID 22207373 DOI: 10.1123/Jpah.9.8.1168 |
0.313 |
|
2012 |
Chung H, Chang H. Bayesian approaches to the model selection problem in the analysis of latent stage-sequential process Computational Statistics & Data Analysis. 56: 4097-4110. DOI: 10.1016/J.Csda.2012.03.015 |
0.338 |
|
2011 |
Chung H, Anthony JC, Schafer JL. Latent class profile analysis: an application to stage-sequential process in early-onset drinking behaviours. Journal of the Royal Statistical Society. Series a, (Statistics in Society). 174: 689-712. PMID 27313406 DOI: 10.1111/J.1467-985X.2010.00674.X |
0.614 |
|
2011 |
Chung H, Anthony JC, Schafer JL. Latent class profile analysis: An application to stage sequential processes in early onset drinking behaviours Journal of the Royal Statistical Society. Series a: Statistics in Society. 174: 689-712. DOI: 10.1111/j.1467-985X.2010.00674.x |
0.582 |
|
2008 |
Chung H, Lanza ST, Loken E. Latent transition analysis: inference and estimation. Statistics in Medicine. 27: 1834-54. PMID 18069720 DOI: 10.1002/Sim.3130 |
0.339 |
|
2007 |
Demirtas H, Arguelles LM, Chung H, Hedeker D. On the performance of bias-reduction techniques for variance estimation in approximate Bayesian bootstrap imputation Computational Statistics and Data Analysis. 51: 4064-4068. DOI: 10.1016/J.Csda.2006.12.047 |
0.546 |
|
2007 |
Chung H, Walls TA, Park Y. A latent transition model with logistic regression Psychometrika. 72: 413-435. DOI: 10.1007/S11336-005-1382-Y |
0.35 |
|
2006 |
Chung H, Flaherty BP, Schafer JL. Latent class logistic regression: Application to marijuana use and attitudes among high school seniors Journal of the Royal Statistical Society. Series a: Statistics in Society. 169: 723-743. DOI: 10.1111/J.1467-985X.2006.00419.X |
0.609 |
|
2004 |
Chung H, Loken E, Schafer JL. Difficulties in Drawing Inferences With Finite-Mixture Models The American Statistician. 58: 152-158. DOI: 10.1198/0003130043286 |
0.593 |
|
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