Titlebook: Quantitative Epidemiology; Xinguang Chen Textbook 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springe

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書目名稱Quantitative Epidemiology影響因子(影響力)




書目名稱Quantitative Epidemiology影響因子(影響力)學(xué)科排名




書目名稱Quantitative Epidemiology網(wǎng)絡(luò)公開度




書目名稱Quantitative Epidemiology網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Quantitative Epidemiology被引頻次




書目名稱Quantitative Epidemiology被引頻次學(xué)科排名




書目名稱Quantitative Epidemiology年度引用




書目名稱Quantitative Epidemiology年度引用學(xué)科排名




書目名稱Quantitative Epidemiology讀者反饋




書目名稱Quantitative Epidemiology讀者反饋學(xué)科排名

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Survival Analysis and Cox Regression for Time-to-Event Data,, conditional logistic regression for case-control studies with Y being assessed through a matched design, and Poisson regression for a counting Y (i.e., rare diseases, car accidents, the number of emergency calls, and days of hospital stay).

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Introduction to Quantitative Epidemiology,jor tasks, including descriptive, etiological, translational, and methodological epidemiology. Descriptive epidemiology aims at quantifying the distribution of medical, health, or behavioral issues among people residing in a geographic area overtime; etiological epidemiology devotes to the understan

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Quantitative Descriptive Epidemiology,ugh, it is common practice to describe a problem using words; quantitative epidemiology focuses on the application of descriptive statistical methods and visualization techniques for description. Information provided using a quantitative method is thus less subjective, and more concise and accurate

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Confirmation with Multiple Regression Analysis,same character. In this chapter, we will continue the research to verify or confirm a promising X?~?Y relationship with the most suitable variables detected through bivariate analysis. As described in Chap. ., an X?~?Y relation is what we assumed. We use it as a reflection of the true relationship i

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