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Books > Medicine > General issues > Public health & preventive medicine > Epidemiology & medical statistics
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Statistical Thinking in Epidemiology (Paperback)
Loot Price: R1,830
Discovery Miles 18 300
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Statistical Thinking in Epidemiology (Paperback)
Expected to ship within 12 - 17 working days
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While biomedical researchers may be able to follow instructions in
the manuals accompanying the statistical software packages, they do
not always have sufficient knowledge to choose the appropriate
statistical methods and correctly interpret their results.
Statistical Thinking in Epidemiology examines common methodological
and statistical problems in the use of correlation and regression
in medical and epidemiological research: mathematical coupling,
regression to the mean, collinearity, the reversal paradox, and
statistical interaction. Statistical Thinking in Epidemiology is
about thinking statistically when looking at problems in
epidemiology. The authors focus on several methods and look at them
in detail: specific examples in epidemiology illustrate how
different model specifications can imply different causal
relationships amongst variables, and model interpretation is
undertaken with appropriate consideration of the context of
implicit or explicit causal relationships. This book is intended
for applied statisticians and epidemiologists, but can also be very
useful for clinical and applied health researchers who want to have
a better understanding of statistical thinking. Throughout the
book, statistical software packages R and Stata are used for
general statistical modeling, and Amos and Mplus are used for
structural equation modeling.
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