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An exploration of time series models and their application to functional magnetic resonance imaging
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Composite Conditional Likelihood
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Assessing Observer Agreement for Categorical Observations
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Statistical Approaches for Exploring Brain Connectivity with Multimodal Neuroimaging Data
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New Statistical Techniques for High-dimensional Neuroimaging Data
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Agreement Methods for Complex Outcomes in Biomedical Studies
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A New Permutation-Based Method for Assessing Observer Agreement
with Replicated and Repeated Observations
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Some Novel Statistical Methods for Neuroimaging Data Analysis
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Evaluating Agreement Among Observers or Methods of Measurement forQuantitative Data
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Methods for Addressing Spatial Correlations in Functional
Neuroimaging Data
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Deciphering the Cell Type Specific Activities from High-throughput Omics Data
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