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Handbook of Regression and Modeling
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Handbook of Regression and Modeling

Handbook of Regression and Modeling

Applications for the Clinical and Pharmaceutical Industries

Daryl S. Paulson - Collection Chapman & Hall/CRC Biostatistics Series

502 pages, parution le 08/02/2007

Résumé

Carefully designed for use by clinical and pharmaceutical researchers and scientists, Handbook of Regression Analysis and Modeling explores statistical methods that have been adapted into biological applications for the quickly evolving field of biostatistics. The author clearly delineates a six-step method for hypothesis testing using data that mimics real life. Relying heavily on computer software, he includes exploratory data analysis to evaluate the fit of the model to the actual data.

The book presents a well-defined procedure for adding or subtracting independent variables to the model variable and covers how to apply statistical forecasting methods to the serially correlated data characteristically found in clinical and pharmaceutical settings. The stand alone chapters allow you to pick and choose which chapter to read first and home in on the information that fits your immediate needs. Each example is presented in computer software format. The author uses MINITAB in the book but supplies instructions for SAS and SPSSX, making the book easily adaptable to individual situations.

Although written with the assumption that the reader has knowledge of basic and matrix algebra, the book supplies a short course on matrix algebra in the appendix for those who need it. Covering more than just statistical theory, the book provides advanced methods that you can put to immediate use.

  • Offers essential information for applying biostatistics to clinical and pharmaceutical research
  • Presents exploratory data analysis to evaluate the fit of the model to the actual data
  • Presents data sets in their entirety instead of relying on data sets supplied on a software CD
  • Provides a well-defined procedure for adding or subtracting independent variables to the model variables with methods that rely on computer software
  • Addresses practical issues such as cost, feasibility, model adequacy-testing, and forecasting
  • Covers regression analysis and modeling for assay development/validation, stability design and analysis, toxicology studies, and dose ranging and response

Sommaire

  • Basic Statistical Concepts
  • Simple Linear Regression
  • Special Problems in Simple Linear Regression: Serial Correlation and Curve Fitting
  • Multiple Linear Regression
  • Correlation Analysis in Multiple Regression
  • Some Important Issues in Multiple Linear Regression
  • Polynomial Regression
  • Special Topics in Multiple Regression
  • Indicator (Dummy) Variable Regression
  • Model Building and Model Selection
  • Analysis of Covariance
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Caractéristiques techniques

  PAPIER
Éditeur(s) Chapman and Hall / CRC
Auteur(s) Daryl S. Paulson
Collection Chapman & Hall/CRC Biostatistics Series
Parution 08/02/2007
Nb. de pages 502
Format 16 x 23,5
Couverture Relié
Poids 800g
Intérieur Noir et Blanc
EAN13 9781574446104
ISBN13 978-1-57444-610-4

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