Fundamentals of Biostatistics

Author:   Bernard R. Rosner
Publisher:   Cengage Learning, Inc
Edition:   International ed 7th Revised ed
ISBN:  

9780538735896


Pages:   888
Publication Date:   01 November 2010
Format:   Paperback
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

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Fundamentals of Biostatistics


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Overview

"""Fundamentals of Biostatistics, 7/e, International Edition"" leads you through the methods, techniques, and computations necessary for success in the medical field. Every new concept is developed systematically through completely worked out examples from current medical research problems."

Full Product Details

Author:   Bernard R. Rosner
Publisher:   Cengage Learning, Inc
Imprint:   Brooks/Cole
Edition:   International ed 7th Revised ed
Dimensions:   Width: 20.50cm , Height: 3.20cm , Length: 25.50cm
Weight:   1.540kg
ISBN:  

9780538735896


ISBN 10:   0538735899
Pages:   888
Publication Date:   01 November 2010
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Paperback
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

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1. General Overview. 2. Descriptive Statistics. 3. Probability. 4. Discrete Probability Distributions. 5. Continuous Probability Distributions. 6. Estimation. 7. Hypothesis Testing: One-Sample Inference. 8. Hypothesis Testing: Two-Sample Inference. 9. Nonparametric Methods. 10. Hypothesis Testing: Categorical Data. 11. Regression and Correlation Methods. 12. Multisample Inference. 13. Design and Analysis Techniques for Epidemiologic Studies. 14. Hypothesis Testing: Person-Time Data.


Author Information

Bernard Rosner is Professor in the Department of Medicine, Harvard Medical School, and the Department of Biostatistics at the Harvard School of Public Health. Dr. Rosner's research activities currently include longitudinal data analysis, analysis of clustered continuous, binary and ordinal data, methods for the adjustment of regression models for measurement error, and modeling of cancer incidence data.

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