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.
Was this article helpful?
Discover The Secrets To Staying Young Forever. Discover How To Hinder The Aging Process On Your Body And In Your Life. Do you feel left out when it comes to trying to look young and keeping up with other people your age? Do you feel as though your body has been run down like an old vehicle on its last legs? Those feelings that you have not only affect you physically, but they can also affect you mentally. Thats not good.