Want to Do a Better Job? - Select Appropriate Statistical Analysis in Healthcare Research

The ability to integrate information, perform accurate and unbiased analysis, and generate flexible reports is in great demand in healthcare research. This paper uses a real-world example to illustrate an automated and easily managed process to perform a comprehensive analysis. It will demonstrate macros that help programmers determine what types of statistical tests will be appropriate to examine the probability of mean differences based on sample size and type and distribution of variables. For example, the macros automatically examine if a distribution is parametric or nonparametric and then decide which test should be carried out. Furthermore, the macros automatically perform various tests such as paired or unpaired t-tests, McNemar, Fisher Exact, or Wilcoxon test upon the previous determination.