| Description |
1 online resource : text file, PDF |
| Series |
Chapman & Hall/CRC Biostatistics Series |
| Contents |
Cover; Title Page; Copyright Page; Contents; Preface; Contributors; Section I: Quantitative Methods for Clinical Trials and Epidemiology; 1. Statistical Issues in HIV Non-Inferiority Trials; 1.1. Introduction; 1.2. Margin of Non-Inferiority; 1.3. Analysis of NI Trials; 1.4. Sample Size Determination; 1.5. Other Considerations in NI Trials; 1.5.1. Noncompliance; 1.5.2. Missing Data; 1.5.3. Misclassification and Measurement Error in Outcome Variables; 1.6. Summary; References; 2. Sample Size for HIV-1 Vaccine Clinical Trials with Extremely Low Incidence Rate; 2.1. Introduction |
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2.2. Sample Size Determination2.2.1. Power Analysis; 2.2.2. Precision Analysis; 2.2.3. Remarks; 2.2.4. Chow and Chiu's Procedure for Sample Size Estimation; 2.3. Sensitivity Analysis; 2.4. An Example; 2.5. Data Safety Monitoring Procedure; 2.6. Concluding Remarks; 2.6. References; 3. Adaptive Clinical Trial Design; 3.1. Introduction; 3.2. Definition of Adaptive Design; 3.3. Types of Adaptive Design; 3.3.1. Adaptive Randomization Design; 3.3.2. Adaptive Group Sequential Design; 3.3.3. Flexible Sample Size Re-Estimation Design; 3.3.4. Drop-the-Losers Design; 3.3.5. Adaptive Dose-Finding Design |
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3.3.6. Biomarker-Adaptive Design3.3.7. Adaptive Treatment-Switching Design; 3.3.8. Adaptive-Hypothesis Design; 3.3.9. Two-Stage Phase I/II (or Phase II/III) Adaptive Design; 3.3.10. Multiple Adaptive Design; 3.3.11. Remarks; 3.4. Utilization of Bayesian Methods; 3.5. Benefits and Limitations of Adaptive Design; 3.5.1. Possible Benefits; 3.5.2. Limitations; 3.6. Regulatory and Statistical Concerns; 3.7. Application of HIV-1 Vaccine Trials; 3.8. Concluding Remarks; 3.8. References; 4. Generalizing Evidence from HIV Trials Using Inverse Probability of Sampling Weights; 4.1. Introduction |
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4.1.1. Background4.1.2. Public Health Examples; 4.1.3. Sampling Score Methods to Generalize Trial Results; 4.1.4. Overview; 4.2. Assumptions and Notation; 4.3. Inference about Population Treatment Effects; 4.3.1. No Censoring; 4.3.2. Right-Censored Data; 4.4. Simulations; 4.5. Applications; 4.5.1. Cohort and Trial Data; 4.5.2. Analysis; 4.5.3. Results; 4.6. Discussion; Acknowledgments; References; 5. Statistical Tests of Regularity among Groups with HIV Self-Test Data; 5.1. Introduction; 5.2. Statistical Background; 5.3. Model; 5.3.1. Hypothesis Testing for Regularity |
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5.3.2. Identifiability of Model Parameters5.4. LR Tests for Uniformity; 5.4.1. One-Sample Problem; 5.4.2. Two-Sample Problem; 5.5. Application to a Study of Self-Testing for HIV; 5.6. Simulation Studies; 5.7. Discussion; Acknowledgments; References; Section II: Quantitative Methods for Analysis of Laboratory Assays ; 6. Estimating Partial Correlations between Logged HIV RNA Measurements Subject to Detection Limits; 6.1. Introduction; 6.2. Methods; 6.2.1. Basic Modeling Framework for Estimating the Partial Correlation |
| Summary |
"Quantitative Methods in HIV/AIDS Research provides a comprehensive discussion of modern statistical approaches for the analysis of HIV/AIDS data. The first section focuses on statistical issues in clinical trials and epidemiology that are unique to or particularly challenging in HIV/AIDS research; the second section focuses on the analysis of laboratory data used for immune monitoring, biomarker discovery and vaccine development; the final section focuses on statistical issues in the mathematical modeling of HIV/AIDS pathogenesis, treatment and epidemiology. This book brings together a broad perspective of new quantitative methods in HIV/AIDS research, contributed by statisticians and mathematicians immersed in HIV research, many of whom are current or previous leaders of CFAR quantitative cores. It is the editors' hope that the work will inspire more statisticians, mathematicians and computer scientists to collaborate and contribute to the interdisciplinary challenges of understanding and addressing the AIDS pandemic."--Provided by publisher |
| Subject |
HIV infections -- Research -- Methodology -- Popular works
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AIDS (Disease) -- Research -- Methodology -- Popular works
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MEDICAL -- Biostatistics.
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MEDICAL -- Epidemiology.
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HEALTH & FITNESS -- Diseases -- General.
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MEDICAL -- Clinical Medicine.
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MEDICAL -- Diseases.
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MEDICAL -- Evidence-Based Medicine.
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MEDICAL -- Internal Medicine.
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| Genre/Form |
Popular works
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| Form |
Electronic book
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| Author |
Hudgens, Michael G
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Chow, Shein-Chung
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| ISBN |
9781315120805 |
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1315120801 |
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