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Statistical Methods for Global Health and Epidemiology

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Cover of 'Statistical Methods for Global Health and Epidemiology'

Table of Contents

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    Book Overview
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    Chapter 1 Existent Sources of Data for Global Health and Epidemiology
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    Chapter 2 Satellite Imagery Data for Global Health and Epidemiology
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    Chapter 3 GIS/GPS-Assisted Probability Sampling in Resource-Limited Settings
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    Chapter 4 Construal Level Theory Supported Method for Sensitive Topics: Applications in Three Different Populations
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    Chapter 5 Integrative Data Analysis and the Study of Global Health
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    Chapter 6 Introduction to Privacy-Preserving Data Collection and Sharing Methods for Global Health Research
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    Chapter 7 Geographic Mapping for Global Health Research
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    Chapter 8 A 4D Indicator System of Count, P Rate, G Rate and PG Rate for Epidemiology and Global Health
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    Chapter 9 Historical Trends in Mortality Risk over 100-Year Period in China with Recent Data: An Innovative Application of Age-Period-Cohort Modeling
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    Chapter 10 Moore-Penrose Generalized-Inverse Solution to APC Modeling for Historical Epidemiology and Global Health
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    Chapter 11 Mixed Effects Modeling of Multi-site Data-Health Behaviors Among Adolescents in Hong Kong, Macao, Taipei, Wuhan and Zhuhai
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    Chapter 12 Geographically Weighted Regression
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    Chapter 13 Bayesian Spatial-Temporal Disease Modeling with Application to Malaria
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    Chapter 14 BCEWMA: A New and Effective Biosurveillance System for Disease Outbreak Detection
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    Chapter 15 Cusp Catastrophe Regression Analysis of Testosterone in Bifurcating the Age-Related Changes in PSA, a Biomarker for Prostate Cancer
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    Chapter 16 Logistic Cusp Catastrophe Regression for Binary Outcome: Method Development and Empirical Testing
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Title
Statistical Methods for Global Health and Epidemiology
Published by
Springer International Publishing, March 2020
DOI 10.1007/978-3-030-35260-8
ISBNs
978-3-03-035259-2, 978-3-03-035260-8
Editors

Chen, Xinguang, Chen, (Din) Ding-Geng

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