Analyzing Longitudinal Clinical Trial Data - A Practical Guide (Paperback)

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.

General

Imprint:	Crc Press
Country of origin:	United Kingdom
Series:	Chapman & Hall/CRC Biostatistics Series
Release date:	December 2020
First published:	2017
Authors:	Craig Mallinckrodt • Ilya Lipkovich
Dimensions:	234 x 156 x 25mm (L x W x T)
Format:	Paperback
Pages:	302
ISBN-13:	978-0-367-73658-3
Categories:	Books > Medicine > Nursing & ancillary services > Pharmacy / dispensing Books > Science & Mathematics > Mathematics > Probability & statistics Books > Medicine > General issues > Medical equipment & techniques > Medical research Books > Medicine > General issues > Public health & preventive medicine > Epidemiology & medical statistics
LSN:	0-367-73658-6
Barcode:	9780367736583

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