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Integrating Sample Similarities into Latent Class Analysis: A Tree-Structured Shrinkage Approach
Mengbing Li, Daniel E. Park, Maliha Aziz, Cindy M. Liu, Lance B. Price, View ORCID ProfileZhenke Wu
doi: https://doi.org/10.1101/2021.01.25.428033
Mengbing Li
1Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA
Daniel E. Park
3Environmental and Occupational Health, Milken Institute School of Public Health, The George Washington University, Washington, DC 20052, USA
Maliha Aziz
3Environmental and Occupational Health, Milken Institute School of Public Health, The George Washington University, Washington, DC 20052, USA
Cindy M. Liu
3Environmental and Occupational Health, Milken Institute School of Public Health, The George Washington University, Washington, DC 20052, USA
Lance B. Price
3Environmental and Occupational Health, Milken Institute School of Public Health, The George Washington University, Washington, DC 20052, USA
Zhenke Wu
1Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA
2Michigan Institute for Data Science (MIDAS), University of Michigan, Ann Arbor, MI 48109, USA
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Posted August 02, 2021.
Integrating Sample Similarities into Latent Class Analysis: A Tree-Structured Shrinkage Approach
Mengbing Li, Daniel E. Park, Maliha Aziz, Cindy M. Liu, Lance B. Price, Zhenke Wu
bioRxiv 2021.01.25.428033; doi: https://doi.org/10.1101/2021.01.25.428033
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