Image from Google Jackets

Handbook of Statistical Methods for Randomized Controlled Trials.

By: Kim, KyungMannContributor(s): Bretz, Frank | Cheung, Ying Kuen K | Hampson, Lisa VMaterial type: TextTextSeries: Chapman and Hall/CRC Handbooks of Modern Statistical Methods SerPublisher: Milton : CRC Press LLC, 2021Copyright date: �2021Description: 1 online resource (655 pages)Content type: text Media type: computer Carrier type: online resourceISBN: 9781498714648Online access: Open e-book
Contents:
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.
Holdings
Item type Current library Home library Class number Status Date due Barcode Item reservations
E-book E-book Electronic publication Electronic publication Available
Total reservations: 0

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.

Description based on publisher supplied metadata and other sources.

Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2021. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.

There are no comments on this title.

to post a comment.