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The prevention and treatment of missing data in clinical trials [[electronic resource] /] / Panel on Handling Missing Data in Clinical Trials, Committee on National Statistics, Division of Behavioral and Social Sciences and Education
| The prevention and treatment of missing data in clinical trials [[electronic resource] /] / Panel on Handling Missing Data in Clinical Trials, Committee on National Statistics, Division of Behavioral and Social Sciences and Education |
| Pubbl/distr/stampa | Washington, D.C., : National Academies Press, 2010 |
| Descrizione fisica | 1 online resource (162 p.) |
| Disciplina | 615.50724 |
| Soggetto topico |
Missing observations (Statistics)
Clinical trials |
| ISBN |
0-309-18651-X
1-282-97597-8 9786612975974 0-309-15815-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | ""Front Matter""; ""Acknowledgments""; ""Contents""; ""Glossary""; ""Summary""; ""1 Introduction and Background""; ""2 Trial Designs to Reduce the Frequency of Missing Data""; ""3 Trial Strategies to Reduce the Frequency of Missing Data""; ""4 Drawing Inferences from Incomplete Data""; ""5 Principles and Methods of Sensitivity Analyses""; ""6 Conclusions and Recommendations""; ""References""; ""Appendix A: Clinical Trials: Overview and Terminology""; ""Appendix B: Biographical Sketches of Panel Members and Staff""; ""Committee on National Statistics"" |
| Record Nr. | UNINA-9910781001703321 |
| Washington, D.C., : National Academies Press, 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
The prevention and treatment of missing data in clinical trials [[electronic resource] /] / Panel on Handling Missing Data in Clinical Trials, Committee on National Statistics, Division of Behavioral and Social Sciences and Education
| The prevention and treatment of missing data in clinical trials [[electronic resource] /] / Panel on Handling Missing Data in Clinical Trials, Committee on National Statistics, Division of Behavioral and Social Sciences and Education |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Washington, D.C., : National Academies Press, 2010 |
| Descrizione fisica | 1 online resource (162 p.) |
| Disciplina | 615.50724 |
| Soggetto topico |
Missing observations (Statistics)
Clinical trials |
| ISBN |
0-309-18651-X
1-282-97597-8 9786612975974 0-309-15815-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | ""Front Matter""; ""Acknowledgments""; ""Contents""; ""Glossary""; ""Summary""; ""1 Introduction and Background""; ""2 Trial Designs to Reduce the Frequency of Missing Data""; ""3 Trial Strategies to Reduce the Frequency of Missing Data""; ""4 Drawing Inferences from Incomplete Data""; ""5 Principles and Methods of Sensitivity Analyses""; ""6 Conclusions and Recommendations""; ""References""; ""Appendix A: Clinical Trials: Overview and Terminology""; ""Appendix B: Biographical Sketches of Panel Members and Staff""; ""Committee on National Statistics"" |
| Record Nr. | UNINA-9910828320803321 |
| Washington, D.C., : National Academies Press, 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Statistical analysis with missing data / / Roderick J. A. Little, Donald B. Rubin
| Statistical analysis with missing data / / Roderick J. A. Little, Donald B. Rubin |
| Autore | Little Roderick J. A. |
| Edizione | [Second edition.] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : John Wiley & Sons, Inc., , 2002 |
| Descrizione fisica | 1 online resource (409 p.) |
| Disciplina | 519.5 |
| Collana | Wiley Series in Probability and Statistics |
| Soggetto topico |
Mathematical statistics
Missing observations (Statistics) |
| ISBN |
1-119-01356-9
1-118-62586-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover ; Title Page ; Copyright ; Contents ; Preface ; Part I: Overview and Basic Approaches ; Chapter 1: Introduction ; 1.1. The Problem of Missing Data ; 1.2. Missing-data Patterns ; 1.3. Mechanisms That Lead to Missing Data ; 1.4. A Taxonomy of Missing-data Methods ; Chapter 2: Missing Data in Experiments ; 2.1. Introduction ; 2.2. The Exact Least Squares Solution with Complete Data ; 2.3. The Correct Least Squares Analysis with Missing Data ; 2.4. Filling in Least Squares Estimates ; 2.4.1. Yates's Method ; 2.4.2. Using a Formula for the Missing Values
2.4.3. Iterating to Find the Missing Values 2.4.4. Ancova with Missing-value Covariates ; 2.5. Bartlett's Ancova Method ; 2.5.1. Useful Properties of Bartlett's Method ; 2.5.2. Notation ; 2.5.3. The Ancova Estimates of Parameters and Missing Y Values ; 2.5.4. Ancova Estimates of the Residual Sums of Squares and the Covariance Matrix of ß^ ; 2.6. Least Squares Estimates of Missing Values by Ancova Using Only Complete-data Methods ; 2.7. Correct Least Squares Estimates of Standard Errors and One Degree of Freedom Sums of Squares 2.8. Correct Least Squares Sums of Squares with More Than One Degree of Freedom Chapter 3: Complete-case and Available-case Analysis, Including Weighting Methods ; 3.1. Introduction ; 3.2. Complete-case Analysis ; 3.3. Weighted Complete-case Analysis ; 3.3.1. Weighting Adjustments ; 3.3.2. Added Variance from Nonresponse Weighting ; 3.3.3. Post-stratification and Raking to Known Margins ; 3.3.4. Inference from Weighted Data ; 3.3.5. Summary of Weighting Methods ; 3.4. Available-case Analysis ; Chapter 4: Single Imputation Methods ; 4.1. Introduction 4.2. Imputing Means from a Predictive Distribution 4.2.1. Unconditional Mean Imputation ; 4.2.2. Conditional Mean Imputation ; 4.3. Imputing Draws from a Predictive Distribution ; 4.3.1. Draws Based on Explicit Models ; 4.3.2. Draws Based on Implicit Models ; 4.4. Conclusions ; Chapter 5: Estimation of Imputation Uncertainty ; 5.1. Introduction ; 5.2. Imputation Methods That Provide Valid Standard Errors from a Single Filled-in Data Set ; 5.3. Standard Errors for Imputed Data by Resampling ; 5.3.1 Bootstrap Standard Errors ; 5.3.2. Jackknife Standard Errors 5.4. Introduction to Multiple Imputation 5.5. Comparison of Resampling Methods and Multiple Imputation ; Part II: Likelihood-based Approaches to the Analysis of Missing Data ; Chapter 6: Theory of Inference Based on the Likelihood Function ; 6.1. Review of Likelihood-based Estimation for Complete Data ; 6.1.1. Maximum Likelihood Estimation ; 6.1.2. Rudiments of Bayes Estimation ; 6.1.3. Large-sample Maximum Likelihood and Bayes Inference ; 6.1.4. Bayes Inference Based on the Full Posterior Distribution ; 6.1.5. Simulating Draws from Posterior Distributions 6.2. Likelihood-based Inference with Incomplete Data |
| Record Nr. | UNINA-9910132312803321 |
Little Roderick J. A.
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| Hoboken, New Jersey : , : John Wiley & Sons, Inc., , 2002 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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