Essential statistical methods for medical statistics: a derivative of Handbook of statistics : epidemiology and medical statistics, vol. 27
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Bibliographic Details
Format: Electronic eBook
Language:English
Published: Burlington Elsevier Science 2011
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Online Access:FAW01
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Item Description:Front Cover; Essential Statistical Methods for Medical Statistics; Copyright; Table of Contents; Contributors; Chapter 1: Statistical Methods and Challenges in Epidemiology and Biomedical Research; Chapter 2: Statistical Methods for Assessing Biomarkers and Analyzing Biomarker Data; 3. Linear and Non-Linear Regression Methods in Epidemiology and Biostatistics; 4. Count Response Regression Models; 5. Mixed Models; 6. Factor Analysis and Related Methods; 7. Structural Equation Modeling; 8. Statistical Modeling in Biomedical Research: Longitudinal Data Analysis. - 9. Sequential and Group Sequential Designs in Clinical Trials: Guidelines for Practitioners10. Estimation of Marginal Regression Models with Multiple Source Predictors; 11. The Bayesian Approach to Experimental Data Analysis; Subject Index
Essential Statistical Methods for Medical Statistics presents only key contributions which have been selected from the volume in the Handbook of Statistics: Medical Statistics, Volume 27 (2009). While the use of statistics in these fields has a long and rich history, the explosive growth of science in general, and of clinical and epidemiological sciences in particular, has led to the development of new methods and innovative adaptations of standard methods. This volume is appropriately focused for individuals working in these fields. Contributors are internationally renowned experts in their r
Includes bibliographical references and index
Physical Description:1 online ressource (x, 351 pages) Diagramme
ISBN:9780444537386
0444537384
9780444537379
0444537376

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