Preventing and treating missing data in longitudinal clinical trials: a practical guide
Recent decades have brought advances in statistical theory for missing data, which, combined with advances in computing ability, have allowed implementation of a wide array of analyses. In fact, so many methods are available that it can be difficult to ascertain when to use which method. This book f...
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2013
|
| Schriftenreihe: | Practical guides to biostatistics and epidemiology
|
| Links: | https://doi.org/10.1017/CBO9781139381666 |
| Zusammenfassung: | Recent decades have brought advances in statistical theory for missing data, which, combined with advances in computing ability, have allowed implementation of a wide array of analyses. In fact, so many methods are available that it can be difficult to ascertain when to use which method. This book focuses on the prevention and treatment of missing data in longitudinal clinical trials. Based on his extensive experience with missing data, the author offers advice on choosing analysis methods and on ways to prevent missing data through appropriate trial design and conduct. He offers a practical guide to key principles and explains analytic methods for the non-statistician using limited statistical notation and jargon. The book's goal is to present a comprehensive strategy for preventing and treating missing data, and to make available the programs used to conduct the analyses of the example dataset. |
| Umfang: | 1 Online-Ressource (xviii, 165 Seiten) |
| ISBN: | 9781139381666 |
Internformat
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| spelling | Mallinckrodt, Craig H. 1958- Preventing and treating missing data in longitudinal clinical trials a practical guide Craig H. Mallinckrodt Preventing & Treating Missing Data in Longitudinal Clinical Trials Cambridge Cambridge University Press 2013 1 Online-Ressource (xviii, 165 Seiten) txt c cr Practical guides to biostatistics and epidemiology Recent decades have brought advances in statistical theory for missing data, which, combined with advances in computing ability, have allowed implementation of a wide array of analyses. In fact, so many methods are available that it can be difficult to ascertain when to use which method. This book focuses on the prevention and treatment of missing data in longitudinal clinical trials. Based on his extensive experience with missing data, the author offers advice on choosing analysis methods and on ways to prevent missing data through appropriate trial design and conduct. He offers a practical guide to key principles and explains analytic methods for the non-statistician using limited statistical notation and jargon. The book's goal is to present a comprehensive strategy for preventing and treating missing data, and to make available the programs used to conduct the analyses of the example dataset. Erscheint auch als Druck-Ausgabe 9781107031388 Erscheint auch als Druck-Ausgabe 9781107679153 |
| spellingShingle | Mallinckrodt, Craig H. 1958- Preventing and treating missing data in longitudinal clinical trials a practical guide |
| title | Preventing and treating missing data in longitudinal clinical trials a practical guide |
| title_alt | Preventing & Treating Missing Data in Longitudinal Clinical Trials |
| title_auth | Preventing and treating missing data in longitudinal clinical trials a practical guide |
| title_exact_search | Preventing and treating missing data in longitudinal clinical trials a practical guide |
| title_full | Preventing and treating missing data in longitudinal clinical trials a practical guide Craig H. Mallinckrodt |
| title_fullStr | Preventing and treating missing data in longitudinal clinical trials a practical guide Craig H. Mallinckrodt |
| title_full_unstemmed | Preventing and treating missing data in longitudinal clinical trials a practical guide Craig H. Mallinckrodt |
| title_short | Preventing and treating missing data in longitudinal clinical trials |
| title_sort | preventing and treating missing data in longitudinal clinical trials a practical guide |
| title_sub | a practical guide |
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