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1.

電子ブック

EB
edited by Xinguang Chen, (Din) Ding-Geng Chen
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: ICSA Book Series in Statistics ;
オンライン: https://doi.org/10.1007/978-3-030-35260-8
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目次情報: 続きを見る
Existent Data Sources for Global Health and Epidemiology
Satellite Imagery Data for Global Health and Epidemiology
GIS/GPS-Assisted Probability Sampling in Resource-Limited Settings
Construal-Level Theory Supported Methods for Sensitive Topics: Applications in Three Different Populations
Integrative Data Analysis and Application in Global Health
Introduction to Privacy-Preserving Data Collection and Sharing Methods for Global Health Research
Geographic Mapping for Global Health Research
A 4D-Indicator System of Count, P Rate, G Rate and PG Rate for Epidemiology and Global Health
Historical Trends in Mortality Risk over a 100-Year Period in China with Recent Data-An Innovative Application of APC Modeling
Moore-Penrose Generalized-Inverse Solution to APC Modeling for Historical Epidemiology and Global Health
Mixed Effects Modeling of Multi-Site Data-Health Behaviors among Adolescents in Hong Kong, Macao, Taipei, Wuhan and Zhuhai
Geographically Weighted Regression for Global Epidemiological Research
Bayesian Spatial-Temporal Disease Modeling With Application to Malaria
"Efficient Biosurveillance By A Statistical Process Control Chart Using Covariates"
Cusp Catastrophe Regression Analysis of Testosterone in Bifurcating the Age-Related Changes in PSA, a Biomarker for Prostate Cancer
Logistic Cusp Catastrophe Regression for Binary Outcome: Method Development and Empirical Testing
Existent Data Sources for Global Health and Epidemiology
Satellite Imagery Data for Global Health and Epidemiology
GIS/GPS-Assisted Probability Sampling in Resource-Limited Settings
2.

電子ブック

EB
by Xinguang Chen
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2021
シリーズ名: Emerging Topics in Statistics and Biostatistics ;
オンライン: https://doi.org/10.1007/978-3-030-83852-2
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目次情報: 続きを見る
1. Introduction to Quantitative Epidemiology
2. Characters, Variables, Data, and Information
3. Quantitative Descriptive Epidemiology
4. Causal Exploration with Bivariate Analysis
5. Confirmation with Multiple Linear Regression
6. Multivariate Analyses of Categorical and Counting Data
7. Multivariate Analysis of Time to Event Data
8. Simultaneous Analysis of Two Correlated Predictors
9. Special Issues with Quantitative Epidemiology
10. Power Analysis
1. Introduction to Quantitative Epidemiology
2. Characters, Variables, Data, and Information
3. Quantitative Descriptive Epidemiology