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This volume, representing a compilation of authoritative reviews on
a multitude of uses of statistics in epidemiology and medical
statistics written by internationally renowned experts, is
addressed to statisticians working in biomedical and
epidemiological fields who use statistical and quantitative methods
in their work. While the use of statistics in these fields has a
long and rich history, explosive growth of science in general and
clinical and epidemiological sciences in particular have gone
through a see of change, spawning the development of new methods
and innovative adaptations of standard methods. Since the
literature is highly scattered, the Editors have undertaken this
humble exercise to document a representative collection of topics
of broad interest to diverse users. The volume spans a cross
section of standard topics oriented toward users in the current
evolving field, as well as special topics in much need which have
more recent origins. This volume was prepared especially keeping
the applied statisticians in mind, emphasizing
applications-oriented methods and techniques, including references
to appropriate software when relevant.
Essential Statistical Methods for Medical Statistics presents only key contributions which have been selected from the volume in the Handbook of Statistics: Medical Statistics, Volume 27 (2009). While the use of statistics in these fields has a long and rich
history, the explosive growth of science in general, and of
clinical and epidemiological sciences in particular, has led to the
development of new methods and innovative adaptations of standard
methods. This volume is appropriately focused for individuals
working in these fields. Contributors are internationally renowned
experts in their respective areas. . Contributors are internationally renowned experts in their respective areas . Addresses emerging statistical challenges in epidemiological, biomedical, and pharmaceutical research . Methods for assessing Biomarkers, analysis of competing risks . Clinical trials including sequential and group sequential, crossover designs, cluster randomized, and adaptive designs . Structural equations modelling and longitudinal data analysis"
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