Advice on statistical analysis for Circulation Research.
Since the late 1970s when many journals published articles warning about the misuse of statistical methods in the analysis of data, researchers have become more careful about statistical analysis, but errors including low statistical power and inadequate analysis of repeated-measurement studies are still prevalent. In this review, several statistical methods are introduced that are not always familiar to basic and clinical cardiologists but may be useful for revealing the correct answer from the data. The aim of this review is not only to draw the attention of investigators to these tests but also to stress the conditions in which they are applicable. These methods are now generally available in statistical program packages. Researchers need not know how to calculate the statistics from the data but are required to select the correct method from the menu and interpret the statistical results accurately. With the choice of appropriate statistical programs, the issue is no longer how to do the test but when to do it.
Kusuoka
Hideo
H
Institute for Clinical Research, Osaka National Hospital, Osaka, Japan. kusuoka@onh.go.jp
Hoffman
Julien I E
JI
D000704:Analysis of Variance; D002309:Cardiology / Q000379:methods*; D003627:Data Interpretation, Statistical; D006801:Humans; D016015:Logistic Models; D015999:Multivariate Analysis; D016011:Normal Distribution; D016017:Odds Ratio; D011336:Probability; D016016:Proportional Hazards Models; D012107:Research Design; D013223:Statistics as Topic / Q000379:methods*; D018709:Statistics, Nonparametric; D016019:Survival Analysis