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Handbook of Statistical Methods for Case-Control Studies (Paperback)
Loot Price: R1,399
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Handbook of Statistical Methods for Case-Control Studies (Paperback)
Series: Chapman & Hall/CRC Handbooks of Modern Statistical Methods
Expected to ship within 12 - 17 working days
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Handbook of Statistical Methods for Case-Control Studies is written
by leading researchers in the field. It provides an in-depth
treatment of up-to-date and currently developing statistical
methods for the design and analysis of case-control studies, as
well as a review of classical principles and methods. The handbook
is designed to serve as a reference text for biostatisticians and
quantitatively-oriented epidemiologists who are working on the
design and analysis of case-control studies or on related
statistical methods research. Though not specifically intended as a
textbook, it may also be used as a backup reference text for
graduate level courses. Book Sections Classical designs and causal
inference, measurement error, power, and small-sample inference
Designs that use full-cohort information Time-to-event data Genetic
epidemiology About the Editors Ornulf Borgan is Professor of
Statistics, University of Oslo. His book with Andersen, Gill and
Keiding on counting processes in survival analysis is a world
classic. Norman E. Breslow was, at the time of his death, Professor
Emeritus in Biostatistics, University of Washington. For decades,
his book with Nick Day has been the authoritative text on
case-control methodology. Nilanjan Chatterjee is Bloomberg
Distinguished Professor, Johns Hopkins University. He leads a broad
research program in statistical methods for modern large scale
biomedical studies. Mitchell H. Gail is a Senior Investigator at
the National Cancer Institute. His research includes modeling
absolute risk of disease, intervention trials, and statistical
methods for epidemiology. Alastair Scott was, at the time of his
death, Professor Emeritus of Statistics, University of Auckland. He
was a major contributor to using survey sampling methods for
analyzing case-control data. Chris J. Wild is Professor of
Statistics, University of Auckland. His research includes nonlinear
regression and methods for fitting models to response-selective
data.
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