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Structural Equation Modeling: A Multidisciplinary Journal, 2007
Mixture modeling is a widely applied data analysis technique used to identify unobserved heterogeneity in a population. Despite mixture models' usefulness in practice, one unresolved issue in the application of mixture models is that there is not one commonly accepted statistical indicator for deciding on the number of classes in a study population ...
Karen L. Nylund +2 more
openaire +1 more source
Mixture modeling is a widely applied data analysis technique used to identify unobserved heterogeneity in a population. Despite mixture models' usefulness in practice, one unresolved issue in the application of mixture models is that there is not one commonly accepted statistical indicator for deciding on the number of classes in a study population ...
Karen L. Nylund +2 more
openaire +1 more source
Journal of special education : theory and practice, 2020
Younghee Cho, Jaekook Park
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Younghee Cho, Jaekook Park
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Cancer treatment and survivorship statistics, 2022
Ca-A Cancer Journal for Clinicians, 2022Kimberly D Miller +2 more
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Evolving standards of care and new challenges in the management of HER2‐positive breast cancer
Ca-A Cancer Journal for Clinicians, 2020Grace M Choong +2 more
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Treatment of muscle‐invasive and advanced bladder cancer in 2020
Ca-A Cancer Journal for Clinicians, 2020Vaibhav G Patel +2 more
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Angiogenesis Inhibitors: Current Strategies and Future Prospects
Ca-A Cancer Journal for Clinicians, 2010Kristina M Cook, William D Figg
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Treatment of renal cell carcinoma: Current status and future directions
Ca-A Cancer Journal for Clinicians, 2017Pedro Coelho Barata, Brian I Rini
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