What's new or different in the Second Edition?
New chapters cover:
- Measures of association primarily with nominal and ordinal data and and more than 15 tests
- Survival statistics including actuarial analysis and an introduction to multiple regression with survival data using proportional hazards regression
- An introduction to the topic of evidence-based practice with discussions of sensitivity and specificity, predictive values, and likelihood ratios
- Odds ratios and relative risk ratios that provide valuable information for dealing with probability, odds, and risk
- New sections address
Power and sample size determination for two-sample Z-tests of proportions - Clinical equivalence and noninferiority studies, process capability, and tolerance limits
- Methods for assessing repeatability and reproducibility
Expanded information includes:
- Chi square, repeated measures designs, Latin Square designs, nine multiple comparison tests, and outlier testing
- Inverse prediction with linear regression, handling of multiple data points at different levels of independent variable, and assessment of parallelism of slopes for two samples
- Additional types of bivariate correlations and various assessments for independence and randomness
- More nonparametric tests including new information on post hoc comparisons for a significant Kruskal-Wallis test, the Kolmogorov-Smirnov goodness-of-fit test, and the Anderson-Darling test, as well as runs and range tests
- Eight new tables useful for the interpretation of some of the new inferential statistics
De Muth provides concrete examples that enable you to effectively manage information in your day-to-day problem solving and reporting of findings. By avoiding heavy-duty mathematics and theory, even the mathematically challenged can benefit and increase their confidence in using statistics procedures.