Statistical advances in the biomedical sciences clinical trials, epidemiology, survival analysis, and bioinformatics /
This book compiles 30 carefully prepared and peer-reviewed articles form eminent researchers in the modern-day biomedical sciences. With sections on Clinical Trials, Epidemiology, Survival Analysis, and Bioinformatics, it provides more specific details on.
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Group Author: | |
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Published: |
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Literature type: | Electronic eBook |
Language: | English |
Series: |
Wiley series in probability and statistics
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Subjects: | |
Online Access: |
http://onlinelibrary.wiley.com/book/10.1002/9780470181218 |
Summary: |
This book compiles 30 carefully prepared and peer-reviewed articles form eminent researchers in the modern-day biomedical sciences. With sections on Clinical Trials, Epidemiology, Survival Analysis, and Bioinformatics, it provides more specific details on. |
Carrier Form: | 1 online resource (xxix, 582 pages) : illustrations. |
Bibliography: | Includes bibliographical references and index. |
ISBN: |
9780470181195 0470181192 9780470181218 0470181214 |
Index Number: | R853 |
CLC: | R311 |
Contents: |
Statistical Advances in the Biomedical Sciences; Contents; Preface; Acknowledgments; Contributors; PART I CLINICAL TRIALS; 1. Phase I Clinical Trials; 2. Phase II Clinical Trials; 3. Response-Adaptive Designs in Phase III Clinical Trials; 4. Inverse Sampling for Clinical Trials: A Brief Review of Theory and Practice; 5. The Design and Analysis Aspects of Cluster Randomized Trials; PART II EPIDEMIOLOGY; 6. HIV Dynamics Modeling and Prediction of Clinical Outcomes in AIDS Clinical Research; 7. Spatial Epidemiology; 8. Modeling Disease Dynamics: Cholera as a Case Study. 9. Misclassification and Measurement Error Models in Epidemiologic StudiesPART III SURVIVAL ANALYSIS; 10. Semiparametric Maximum-Likelihood Inference in Survival Analysis; 11. An Overview of the Semi-Competing Risks Problem; 12. Tests for Time-Varying Covariate Effects within Aalen's Additive Hazards Model; 13. Analysis of Outcomes Subject to Induced Dependent Censoring: A Marked Point Process Perspective; 14. Analysis of Dependence in Mult. |