Common Statistical Methods For Clinical Research With Sas Examples, Second Edition
by Glenn A. Walker /
2002 / English / PDF
27.6 MB Download
Common Statistical Methods for Clinical Research with SAS Examples,
Second Edition, written by Glenn Walker, provides clinical
researchers with an invaluable aid for understanding the
statistical methods cited most frequently in clinical protocols,
statistical analysis plans, clinical and statistical reports, and
medical journals. The text is written in a way that takes the
non-statistician through each test using examples, yet substantive
details are presented that benefit even the most experienced data
analyst. Introductory chapters provide elementary statistical
concepts as applied to clinical trials and an overview of
statistical inference, including discussions about power,
calculating sample size, p-values, and the logic behind hypothesis
testing. The statistical methods discussed here represent a
composite of methods most commonly used in the analysis of clinical
research data. Numerous examples taken from clinical research show
how to calculate statistical data both manually and using SAS. This
revised edition includes sections about crossover designs and
multiple comparison methods, a discussion of interim analyses, 50%
more examples, and reader exercises. Extensions of methods
previously presented only in their most elementary form are shown
in new examples.
Common Statistical Methods for Clinical Research with SAS Examples,
Second Edition, written by Glenn Walker, provides clinical
researchers with an invaluable aid for understanding the
statistical methods cited most frequently in clinical protocols,
statistical analysis plans, clinical and statistical reports, and
medical journals. The text is written in a way that takes the
non-statistician through each test using examples, yet substantive
details are presented that benefit even the most experienced data
analyst. Introductory chapters provide elementary statistical
concepts as applied to clinical trials and an overview of
statistical inference, including discussions about power,
calculating sample size, p-values, and the logic behind hypothesis
testing. The statistical methods discussed here represent a
composite of methods most commonly used in the analysis of clinical
research data. Numerous examples taken from clinical research show
how to calculate statistical data both manually and using SAS. This
revised edition includes sections about crossover designs and
multiple comparison methods, a discussion of interim analyses, 50%
more examples, and reader exercises. Extensions of methods
previously presented only in their most elementary form are shown
in new examples.
