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Analyzing Longitudinal Clinical Trial Data

- A Practical Guide
Af: Craig Mallinckrodt, Ilya Lipkovich Engelsk Hardback

Analyzing Longitudinal Clinical Trial Data

- A Practical Guide
Af: Craig Mallinckrodt, Ilya Lipkovich Engelsk Hardback
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Analyzing Longitudinal Clinical Trial Data: A Practical Guide provides practical and easy to implement approaches for bringing the latest theory on analysis of longitudinal clinical trial data into routine practice.The book, with its example-oriented approach that includes numerous SAS and R code fragments, is an essential resource for statisticians and graduate students specializing in medical research.

The authors provide clear descriptions of the relevant statistical theory and illustrate practical considerations for modeling longitudinal data. Topics covered include choice of endpoint and statistical test; modeling means and the correlations between repeated measurements; accounting for covariates; modeling categorical data; model verification; methods for incomplete (missing) data that includes the latest developments in sensitivity analyses, along with approaches for and issues in choosing estimands; and means for preventing missing data. Each chapter stands alone in its coverage of a topic. The concluding chapters provide detailed advice on how to integrate these independent topics into an over-arching study development process and statistical analysis plan.

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Analyzing Longitudinal Clinical Trial Data: A Practical Guide provides practical and easy to implement approaches for bringing the latest theory on analysis of longitudinal clinical trial data into routine practice.The book, with its example-oriented approach that includes numerous SAS and R code fragments, is an essential resource for statisticians and graduate students specializing in medical research.

The authors provide clear descriptions of the relevant statistical theory and illustrate practical considerations for modeling longitudinal data. Topics covered include choice of endpoint and statistical test; modeling means and the correlations between repeated measurements; accounting for covariates; modeling categorical data; model verification; methods for incomplete (missing) data that includes the latest developments in sensitivity analyses, along with approaches for and issues in choosing estimands; and means for preventing missing data. Each chapter stands alone in its coverage of a topic. The concluding chapters provide detailed advice on how to integrate these independent topics into an over-arching study development process and statistical analysis plan.

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Produktdetaljer
Sprog: Engelsk
Sider: 302
ISBN-13: 9781498765312
Indbinding: Hardback
Udgave:
ISBN-10: 1498765319
Kategori: Kliniske forsøg
Udg. Dato: 6 dec 2016
Længde: 23mm
Bredde: 243mm
Højde: 163mm
Forlag: Taylor & Francis Inc
Oplagsdato: 6 dec 2016
Forfatter(e): Craig Mallinckrodt, Ilya Lipkovich
Forfatter(e) Craig Mallinckrodt, Ilya Lipkovich

Kategori Kliniske forsøg

ISBN-13 9781498765312

Sprog Engelsk

Indbinding Hardback

Sider 302

Udgave

Længde 23mm

Bredde 243mm

Højde 163mm

Udg. Dato 6 dec 2016

Oplagsdato 6 dec 2016

Forlag Taylor & Francis Inc