Pub. Date:
Elsevier Science
Essential Statistical Methods for Medical Statistics

Essential Statistical Methods for Medical Statistics

by J. Philip Miller
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Product Details

ISBN-13: 9780444537379
Publisher: Elsevier Science
Publication date: 01/10/2011
Pages: 368
Product dimensions: 6.10(w) x 9.00(h) x 0.80(d)

Table of Contents

1. Statistical Methods and Challenges in Epidemiology and Biomedical Research (Ross L. Prentice)

2. Statistical Methods for Assessing Biomarkers and Analyzing Biomarker Data (Stephen W. Looney, Joseph L. Hagan)

3. Linear and Non-Linear Regression Methods in Epidemiology and Biostatistics (Eric Vittinghoff, Charles E. McCulloch, David V. Glidden, Stephen C. Shiboski)

4. Count Response Regression Models (Joseph M. Hilbe, William H. Greene)

5. Mixed Models (Matthew J. Gurka, Lloyd J. Edwards)

6. Factor Analysis and Related Methods (Carol M. Woods, Michael C. Edwards)

7. Structural Equation Modeling (Kentaro Hayashi, Peter M. Bentler, Ke-Hai Yuan)

8. Statistical Modeling in Biomedical Research: Longitudinal Data Analysis (Chengjie Xiong, Kejun Zhu, Kai Yu, J. Philip Miller)

9. Sequential and Group Sequential Designs in Clinical Trials: Guidelines for Practitioners (Madhu Mazumdar, Heejung Bang)

10. Estimation of Marginal Regression Models with Multiple Source Predictors (Heather J. Litman, Nicholas J. Horton, Bernardo Hernández, Nan M. Laird)

11. The Bayesian Approach to Experimental Data Analysis (Bruno Lecoutre)

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