Handbook of Statistical Methods for Randomized Controlled Trials - Info and Reading Options
By KyungMann Kim, Frank Bretz, Ying Kuen K. Cheung and Lisa V. Hampson
"Handbook of Statistical Methods for Randomized Controlled Trials" was published by CRC Press LLC in 2023 - Boca Raton London New York, it has 1 pages and the language of the book is English.
“Handbook of Statistical Methods for Randomized Controlled Trials” Metadata:
- Title: ➤ Handbook of Statistical Methods for Randomized Controlled Trials
- Authors: KyungMann KimFrank BretzYing Kuen K. CheungLisa V. Hampson
- Language: English
- Number of Pages: 1
- Publisher: CRC Press LLC
- Publish Date: 2023
- Publish Location: Boca Raton London New York
“Handbook of Statistical Methods for Randomized Controlled Trials” Subjects and Themes:
- Subjects: ➤ Clinical trials - Handbooks, manuals - Statistical methods - Études cliniques - Guides, manuels - Méthodes statistiques - MATHEMATICS / Probability & Statistics / General - MEDICAL / Biostatistics
Edition Specifications:
- Pagination: 620
Edition Identifiers:
- The Open Library ID: OL49697743M - OL25250382W
- ISBN-13: 9781032009100 - 9781498714648
- All ISBNs: 9781032009100 - 9781498714648
AI-generated Review of “Handbook of Statistical Methods for Randomized Controlled Trials”:
"Handbook of Statistical Methods for Randomized Controlled Trials" Description:
Open Data:
Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Dedication -- Contents -- Preface -- List of Figures -- List of Tables -- Contributors -- I. Introduction to Randomized Controlled Trials -- 1. Introduction -- 1.1. Historical Background -- 1.2. Statistical Concepts -- 1.3. Organization of the Handbook -- Bibliography -- II. Analytic Methods for Randomized Controlled Trials -- 2. Binary and Ordinal Outcomes -- 2.1. Introduction -- 2.2. Analysis of 2 x 2 Contingency Tables -- 2.3. Analysis of R x C Contingency Tables -- 2.4. Analysis of Stratified 2 x 2 Contingency Tables -- 2.5. Regression Models for Binary Outcomes -- 2.5.1. Logistic regression -- 2.5.2. Estimation and inference for logistic regression -- 2.5.3. Exact logistic regression -- 2.5.4. Example -- 2.6. Regression Models for Ordinal Outcomes -- 2.6.1. Proportional odds model -- 2.6.2. Some alternative models for ordinal outcomes -- 2.6.3. Example -- 2.7. Adjustment for Baseline Response -- 2.8. Concluding Remarks -- Bibliography -- 3. Continuous Outcomes -- 3.1. Introduction -- 3.2. The t-Test (One Population) -- 3.3. The t-Test (Two Populations) -- 3.4. Mann-Whitney U-Test -- 3.5. Paired Tests -- 3.5.1. Paired t-test -- 3.5.2. Wilcoxon signed rank test -- 3.6. Multiple Comparisons -- 3.7. Regression -- 3.7.1. Residuals -- 3.7.2. Inference for linear regression -- 3.7.3. ANCOVA models -- 3.7.4. Nonlinear regression -- 3.8. Conclusion -- Bibliography -- 4. Time to Event Data -- 4.1. Introduction -- 4.2. ACTG 320 -- 4.3. Mathematical Fundamentals -- 4.3.1. Notation -- 4.3.2. Hazard -- 4.3.3. Censoring and observed data -- 4.4. Estimation of Survival Distribution -- 4.5. Hypothesis Testing -- 4.6. Cox Regression Model -- 4.7. Informative Censoring -- 4.8. Conclusion -- Bibliography -- 5. Count Data -- 5.1. Introduction -- 5.2. Regression Analysis of Simple Count Data
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