Chenxi Wang, Scott W. Keith, Kevin R. Fontaine, and David B. Allison
In this chapter we provide an overview of basic statistical concepts and procedures that are germane to researchers interested in aging. We include discussions of hypothesis testing, research design, statistical power, data collection, statistical significance, parametric and nonpara-metric statistical methods, and choosing an appropriate statistical test. We also provide brief introductions to the different types of data (categorical versus continuous), summary statistics, and a selection of parametric and nonparametric statistical tests including t-tests, analysis of variance, ordinary least squares regression, logistic regression, and survival analysis. We place special emphasis on statistics for maximum lifespan using the example of animal research on caloric restriction. We also include discussions of the major methods ofsignificance testing for statistics ofmaximum lifespan. We conclude the chapter by offering a series of recommendations that will greatly increase the chances of conducting a valid statistical analysis.
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For centuries, ever since the legendary Ponce de Leon went searching for the elusive Fountain of Youth, people have been looking for ways to slow down the aging process. Medical science has made great strides in keeping people alive longer by preventing and curing disease, and helping people to live healthier lives. Average life expectancy keeps increasing, and most of us can look forward to the chance to live much longer lives than our ancestors.