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Statistical Modeling in Biomedical Research

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Cover of 'Statistical Modeling in Biomedical Research'

Table of Contents

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    Book Overview
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    Chapter 1 Modeling Species Specific Gene Expression Across Multiple Regions in the Brain
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    Chapter 2 Classification of EEG Motion Artifact Signals Using Spatial ICA
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    Chapter 3 Weighted K-Means Clustering with Observation Weight for Single-Cell Epigenomic Data
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    Chapter 7 Hierarchical Continuous Time Hidden Markov Model, with Application in Zero-Inflated Accelerometer Data
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    Chapter 9 Improving Maize Trait through Modifying Combination of Genes
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    Chapter 16 Mathematical Model of Mouse Ventricular Myocytes Overexpressing Adenylyl Cyclase Type 5
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    Chapter 19 Inference of Transition Probabilities in Multi-State Models Using Adaptive Inverse Probability Censoring Weighting Technique
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