The first part of this title contained all statistical tests that are
relevant for starters on SPSS, and included standard parametric and
non-parametric tests for continuous and binary variables, regression
methods, trend tests, and reliability and validity assessments of
diagnostic tests. The current part 2 of this title reviews multistep
methods, multivariate models, assessments of missing data, performance
of diagnostic tests, meta-regression, Poisson regression, confounding
and interaction, and survival analyses using log tests and segmented
time-dependent Cox regression. Methods for assessing non linear models,
data seasonality, distribution free methods, including Monte Carlo
methods and artificial intelligence, and robust tests are also covered.
Each method of testing is explained using a data example from clinical
practice, including every step in SPSS, and a text with interpretations
of the results and hints convenient for data reporting. In order to
facilitate the use of this cookbook the data files of the examples is
made available by the editor through extras.springer.com.
Both part 1 and 2 of this title contain a minima amount of text and
maximal technical details, but we believe that this property will not
refrain students from mastering the SPSS software systematics, and that,
instead, it will be a help to that aim. Yet, we recommend that it will
used together with the textbook "Statistics Applied to Clinical Trials"
(5th edition, Springer, Dordrecht 2012) and the e-books "Statistics on a
Pocket Calculator Part 1 and 2 (Springer, Dordrecht, 2011 and 2012) from
the same authors.
