Handbook of Regression and Modeling - Applications for the Clinical and Pharmaceutical Industries

Informationen zum Autor Daryl S. Paulson Klappentext Addressing a variety of topics related to this advanced aspect of statistics! the Handbook of Regression and Modeling provides essential information for researchers! graduate students! and scientists who use regression analysis for biostatistics related to clinical and pharmaceutical research. This text includes exploratory data analysis to evaluate the fit of the model to the actual data. It presents a well-defined procedure for adding or subtracting independent variables to the model variables! with methods that rely on computer software. It also applies statistical forecasting methods when data are serially correlated. Additional material covers simple linear and multiple regressions. Zusammenfassung Addressing a variety of topics related to this advanced aspect of statistics, the Handbook of Regression and Modeling provides essential information for researchers, graduate students, and scientists who use regression analysis for biostatistics related to clinical and pharmaceutical research. Inhaltsverzeichnis Basic Statistical Concepts. Simple Linear Regression. Special Problems in Simple Linear Regression. Some Aspects and Examples in Constructing a Valid Simple Regression Study. Multiple Linear Regression. Correlation in Multiple Regression. Issues in Multiple Linear Regression. Polynomial Regression. Special Topics in Multiple Regression. Indicator (Dummy) Variable Regression. Model Building/Model Selection. Analysis of Covariance. Logistic Regression.

Product details

• Authors: Daryl S. Paulson, Daryl S. (Biosciences Laboratories Paulson, Paulson Daryl S.
• Assisted by: Shein-Chung Chow (Editor of the series)
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Released: 19.12.2006
• EAN: 9781574446104
• ISBN: 978-1-57444-610-4
• No. of pages: 520
• Series: Chapman & Hall/CRC Biostatistics Series; Chapman & Hall/CRC Biostatistics Series
• Subjects: Natural sciences, medicine, IT, technology > Mathematics; MATHEMATICS / Probability & Statistics / General, MEDICAL / Pharmacology, Biology, life sciences, Probability & statistics, Pharmaceutical technology, Probability and statistics, Clinical Trials, Pharmaceutical chemistry and technology