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John Hanfelt, Emory University
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Modeling and Statistical Analyses Probing the Heterogeneity in Individual Change Point...
Adjusting for selective attrition in a longitudinal study assessing the rate of cognit...
Probabilistic clustering of complex biomarker data for Alzheimer’s Disease
Prediction Approaches for High-dimensional and Complex Neuroimaging Data
Relaxed Conditional Bootstrap Inference for Sparse Data Under a Rectangular Array Embe...
Latent Class Methods for Complex Chronic Disease Data
Approaches to Harmonizing Two Functional Assessment Instruments in a Longitudinal Data...
Hypothesis testing on the number of components in finite mixture models
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Spring 2022
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School
Laney Graduate School
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Rollins School of Public Health
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Department / Specialty
Biostatistics
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M.S.P.H.
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Biology, Biostatistics
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Committee
John Hanfelt, Emory University
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Limin Peng, Emory University
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Benjamin Risk, Emory University
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Robert Lyles, Emory University
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Andrew Hill, Emory University
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Change-point
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Clustering, Alzheimer's Disease
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Consistency of MLE
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Finite mixture models
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Functional data analysis
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