Designed for nonstatisticians and statisticians new to the analysis of growth and development data, this book is an accessible and practical guide to a wide range of basic and advanced statistical methods that are useful for studying human growth and development. It collects methods scattered throughout the literature and explains how to use them to solve common research problems. It also discusses how well a method addresses a specific scientific question and how to interpret and present the analytic results. Stata codes are available on the book's CRC Press web page.
Designed for nonstatisticians and statisticians new to the analysis of growth and development data, this book is an accessible and practical guide to a wide range of basic and advanced statistical methods that are useful for studying human growth and development. It collects methods scattered throughout the literature and explains how to use them to solve common research problems. It also discusses how well a method addresses a specific scientific question and how to interpret and present the analytic results. Stata codes are available on the book's CRC Press web page.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Yin Bun Cheung is a professor in the Centre for Quantitative Medicine, Office of Clinical Sciences at Duke-NUS Graduate Medical School in Singapore and adjunct professor in the Department of International Health at the University of Tampere in Finland. Dr. Cheung has been studying human growth and development in African and Asian countries for about 15 years.
Inhaltsangabe
Introduction. Causal Reasoning and Study Designs. Basic Statistical Concepts and Tools. Quantifying Growth and Development: Use of Existing Tools. Regression Analysis of Quantitative Outcomes. Regression Analysis of Binary Outcomes. Regression Analysis of Censored Outcomes. Analysis of Repeated Measurements and Clustered Data. Quantifying Growth: Development of New Tools. Quantifying Development: Development of New Tools. Quantifying Growth and Development: Longitudinal Measurements. Validity and Reliability. Missing Values and Imputation. Multiple Comparisons. Regression Analysis Strategy. References. Appendices. Index.
Introduction. Causal Reasoning and Study Designs. Basic Statistical Concepts and Tools. Quantifying Growth and Development: Use of Existing Tools. Regression Analysis of Quantitative Outcomes. Regression Analysis of Binary Outcomes. Regression Analysis of Censored Outcomes. Analysis of Repeated Measurements and Clustered Data. Quantifying Growth: Development of New Tools. Quantifying Development: Development of New Tools. Quantifying Growth and Development: Longitudinal Measurements. Validity and Reliability. Missing Values and Imputation. Multiple Comparisons. Regression Analysis Strategy. References. Appendices. Index.
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