The detrimental effects of incomplete data sets on the results of
clinical trials are both well known and all too commonly recurrent.
It is essential that the correct statistical methodology be applied
in order to effectively analyse the results of trials affected by
missing data.
Missing Data in Clinical Trials provides a comprehensive account
of the problems arising when data from clinical and related studies
are incomplete, and presents the reader with approaches to
effectively address them. The text provides a critique of
conventional and simple methods before moving on to discuss more
advanced approaches. The authors focus on practical and modeling
concepts, providing an extensive set of case studies to illustrate
the problems described.
Provides a practical guide to the analysis of clinical trials
and related studies with missing data. Examines the problems caused
by missing data, enabling a complete understanding of how to
overcome them. Presents conventional, simple methods to tackle
these problems, before addressing more advanced approaches,
including sensitivity analysis, and the MAR missingness mechanism.
Illustrated throughout with real-life case studies and worked
examples from clinical trials. Details the use and implementation
of the necessary statistical software, primarily SAS.
Missing Data in Clinical Trials has been developed through a
series of courses and lectures. Its practical approach will appeal
to applied statisticians and biomedical researchers, in particular
those in the biopharmaceutical industry, medical and public health
organisations. Graduate students of biostatistics will also find
much of benefit.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
Welcome to Loot.co.za!
Sign in / Register |Wishlists & Gift Vouchers |Help | Advanced search
