Preventing And Treating Missing Data In Longitudinal Clinica A Practical Guide
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Uitgever: Cambridge University Press
- Engels
- Hardcover
- 9781107031388
- 28 januari 2013
- 180 pagina's
Samenvatting
Focuses on the prevention and treatment of missing data in longitudinal clinical trials, looking at key principles and explaining analytic methods.
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.
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.
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- Bindwijze
- Hardcover
- Oorspronkelijke releasedatum
- 28 januari 2013
- Aantal pagina's
- 180
- Illustraties
- Nee
Betrokkenen
- Hoofdauteur
- Craig Mallinckrodt
- Tweede Auteur
- Mallinckrodt, Craig
- Hoofduitgeverij
- Cambridge University Press
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- 1
- Extra groot lettertype
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- Product breedte
- 173 mm
- Product hoogte
- 18 mm
- Product lengte
- 251 mm
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- 182 mm
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- 256 mm
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- 24 mm
- Verpakkingsgewicht
- 534 g
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- EAN
- 9781107031388
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