Multivariable analysis [Book] : a practical guide for clinicians / Mitchell H. Katz.
Material type: TextPublication details: New York : New York : Cambridge University Press, 1999.Description: xv, 192 p. : ill. ; 24 cmISBN:- 0521593018 (hbk)
- 610.727 21
- 610.727
Item type | Current library | Call number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|
Books | Junaid Zaidi Library, COMSATS University Islamabad Ground Floor | 610.727 KAT-M (Browse shelf(Opens below)) | Available | 24702 |
Browsing Junaid Zaidi Library, COMSATS University Islamabad shelves, Shelving location: Ground Floor Close shelf browser (Hides shelf browser)
610.724 OBR-I Introduction to research methodology for specialists and trainees / | 610.727 GLA-P Primer of biostatistics | 610.727 HOU-A Analysis of multivariate survival data | 610.727 KAT-M Multivariable analysis a practical guide for clinicians / | 610.727 LAC-B Biostatistical methods the assessment of relative risks / | 610.727 MUN-S Statistical methods for health care research | 610.727 NEW-C Confidence intervals for proportions and related measures of effect size |
Includes index
Multivariable analysis is a challenging subject for clinicians, whether they are novice researchers or trained practitioners. Most basic biostatistics books do not cover multivariable analysis, while existing multivariable analysis books are dense with mathematical formulas. Multivariable Analysis: A Practical Guide for Clinicians steps aside from mathematics and offers conceptual explanations. Dr. Mitchell Katz follows a nonthreatening, question-and-answer approach to explain how to perform and interpret multivariable analyses. He begins by explaining why clinicians should do multivariable analyses and then guides the reader through topics such as how to choose which type of multivariable method to perform, how to deal with missing data, and how to validate multivariable models. The book is loaded with useful tips, tables, figures, and references. Examples from the medical literature demonstrate several real-world applications and uses of multivariable analysis. This book will prove to be an indispensable guide for medical students, residents, and practicing physicians.
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