Bayesian Tests for One Sample Continuous Data
Chapter
First Online:
Abstract
In studies with one sample continuous data a single outcome per patient is usually compared to zero.
Instead of ttest also a Bayesian one sample normal test is possible. A one sample ttest of a hypertension study provided a result significantly different from zero at t = 2.429, p = 0.038. A Bayesian one sample ttest provided support in favor of the above ttest with a Bayes factor of 0.506. The 95% confidence intervals of (1) the traditional test, (2) the Bayesian test, and (3) the bootstrap ttest were respectively

0.1165–3.2835

−0.1769 to 3.5769

0.4000–2.9000.
Therefore, some overfitting cannot be ruled out. We conclude that in this chapter the Bayes factor is a better test statistic than the traditional pvalue is.
Suggested Reading^{1}^{,}^{2}
 Statistics applied to clinical studies 5th edition, 2012Google Scholar
 Machine learning in medicine a complete overview, 2015Google Scholar
 SPSS for starters and 2nd levelers 2nd edition, 2015Google Scholar
 Clinical data analysis on a pocket calculator 2nd edition, 2016Google Scholar
 Understanding clinical data analysis from published research, 2016Google Scholar
 Regression Analysis in Clinical Research, 2018Google Scholar
Copyright information
© Springer International Publishing AG, part of Springer Nature 2018