EAN: 9783319719368

REGRESSION ANALYSIS IN MEDICAL RESEARCH - TON J...

This edition is a pretty complete textbook and tutorial for medical and health care students 
as well as a recollection update bench  and help desk for professionals. Novel approaches
already applied in published clinical research will be addressed: matrix analyses  alpha
spending  gate keeping  kriging  interval censored regressions  causality regressions 
canonical regressions  quasi-likelihood regressions  novel non-parametric regressions. Each
chapter can be studied as a stand-alone  and covers one field in the fast growing world of
regression analyses. The authors  as professors in statistics and machine learning at European
universities  are worried  that their students find regression-analyses harder than any other
methodology in statistics. This is serious  because almost all of the novel methodologies in
current data mining and data analysis include elements of regression-analysis. It is the main
incentive for writing this 28 chapter edition  consistent of - 28 major fields of regression
analysis  - their condensed maths  - their applications in medical and health research as
published so far  - step by step analyses for self-assessment  - conclusion and reference
sections. Traditional regression analysis is adequate for epidemiology  but lacks the precision
required for clinical investigations. However  in the past two decades modern regression
methods have proven to be much more precise. And so it is time  that a book described
regression analyses for clinicians. The current edition is the first to do so. It is written
for a non-mathematical readership. Self-assessment data-files are provided through Springer' s
Extras Online.

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