Medical research publications are no longer restricted to case reports and presentation of hypotheses. Until the second half of the 20th century, expert opinions were… Read More »Medical research is based on statistical inference
Both p-values and confidence intervals are uncertainty measures, but while the confidence interval describes estimation uncertainty, the p-value reflects the probability of the data given… Read More »Why confidence intervals are more useful than p-values
Multiplicity issues exist when multiple null hypotheses are tested. Testing more than one null hypothesis increases the risk of getting at least one false-positive test… Read More »Multiplicity and Bonferroni corrections
Always start a statistical analysis by checking that all continuous variables have Normal distribution.
Why? Some statistical methods, such as Student’s t-test, are based on an underlying assumption of a Gaussian distribution, but why should all continuous variables in… Read More »Always start a statistical analysis by checking that all continuous variables have Normal distribution.
No, it isn’t. Evaluation of inferential uncertainty is often necessary, but hypothesis testing is not. The greatest problems in medical research are related to inadequate… Read More »The main problem in medical research is insufficient statistical testing