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John Hanfelt, Emory University
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Modeling and Statistical Analyses Probing the Heterogeneity in Individual Change Points in Longitudinal Cognitive Outcomes
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Adjusting for selective attrition in a longitudinal study assessing the rate of cognitive decline
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Probabilistic clustering of complex biomarker data for Alzheimer’s Disease
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Prediction Approaches for High-dimensional and Complex Neuroimaging Data
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Relaxed Conditional Bootstrap Inference for Sparse Data Under a Rectangular Array Embedding
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Latent Class Methods for Complex Chronic Disease Data
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Approaches to Harmonizing Two Functional Assessment Instruments in a Longitudinal Data Set of Aging Adults in the Unites States
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Hypothesis testing on the number of components in finite mixture models
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