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Books > Medicine > General issues > Public health & preventive medicine > Epidemiology & medical statistics
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Design and Analysis of Pragmatic Trials (Hardcover)
Loot Price: R3,017
Discovery Miles 30 170
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Design and Analysis of Pragmatic Trials (Hardcover)
Series: Chapman & Hall/CRC Biostatistics Series
Expected to ship within 12 - 17 working days
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This book begins with an introduction of pragmatic cluster
randomized trials (PCTs) and reviews various pragmatic issues that
need to be addressed by statisticians at the design stage. It
discusses the advantages and disadvantages of each type of PCT, and
provides sample size formulas, sensitivity analyses, and examples
for sample size calculation. The generalized estimating equation
(GEE) method will be employed to derive sample size formulas for
various types of outcomes from the exponential family, including
continuous, binary, and count variables. Experimental designs that
have been frequently employed in PCTs will be discussed, including
cluster randomized designs, matched-pair cluster randomized design,
stratified cluster randomized design, stepped-wedge cluster
randomized design, longitudinal cluster randomized design, and
crossover cluster randomized design. It demonstrates that the GEE
approach is flexible to accommodate pragmatic issues such as
hierarchical correlation structures, different missing data
patterns, randomly varying cluster sizes, etc. It has been reported
that the GEE approach leads to under-estimated variance with
limited numbers of clusters. The remedy for this limitation is
investigated for the design of PCTs. This book can assist
practitioners in the design of PCTs by providing a description of
the advantages and disadvantages of various PCTs and sample size
formulas that address various pragmatic issues, facilitating the
proper implementation of PCTs to improve health care. It can also
serve as a textbook for biostatistics students at the graduate
level to enhance their knowledge or skill in clinical trial design.
Key Features: Discuss the advantages and disadvantages of each type
of PCTs, and provide sample size formulas, sensitivity analyses,
and examples. Address an unmet need for guidance books on sample
size calculations for PCTs; A wide variety of experimental designs
adopted by PCTs are covered; The sample size solutions can be
readily implemented due to the accommodation of common pragmatic
issues encountered in real-world practice; Useful to both academic
and industrial biostatisticians involved in clinical trial design;
Can be used as a textbook for graduate students majoring in
statistics and biostatistics.
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