Practical Statistical Methods

A SAS Programming Approach
1. Auflage 2011
ISBN: 978-1-4398-1282-2
Verlag: CRC Press

Buch, Englisch, 304 Seiten, Format (B × H): 161 mm x 240 mm, Gewicht: 625 g

Practical Statistical Methods: A SAS Programming Approach presents a broad spectrum of statistical methods useful for researchers without an extensive statistical background. In addition to nonparametric methods, it covers methods for discrete and continuous data. Omitting mathematical details and complicated formulae, the text provides SAS programs to carry out the necessary analyses and draw appropriate inferences for common statistical problems.

After introducing fundamental statistical concepts, the author describes methods used for quantitative data and continuous data following normal and nonnormal distributions. She then focuses on regression methodology, highlighting simple linear regression, logistic regression, and the proportional hazards model. The final chapter briefly discusses such miscellaneous topics as propensity scores, misclassification errors, interim analysis, conditional power, bootstrap, and jackknife.

With SAS code and output integrated throughout, this book shows how to interpret data using SAS and illustrates the many statistical methods available for tackling problems in a range of fields, including the pharmaceutical industry and the social sciences.

Zielgruppe

Professional Practice & Development

Autoren/Hrsg.

Padgett, Lakshmi

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
• Mathematik | Informatik EDV | Informatik Business Application Mathematische & Statistische Software
• Interdisziplinäres Wissenschaften Wissenschaften Interdisziplinär Naturwissenschaften, Technik, Medizin

Inhaltsverzeichnis

Introduction. Qualitative Data. Continuous Normal Data. Nonparametric Methods. Regression. Miscellaneous Topics. References and Selected Bibliography. Index.

Über Autor(innen)

Lakshmi V. Padgett is a senior manager at Centocor. She has more than 15 years of industrial experience and has published several papers in various leading journals. She also co-authored Block Designs: Analysis, Combinatorics and Applications. She earned a Ph.D. from Temple University.