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Hypothesis testing assesses whether data are inconsistent with a given hypothesis (usually a null hypothesis of no effect).

4 votes

Appropriateness of one-sided hypothesis tests when testing medical treatments

A one-sided confidence interval (CI)/test is as good as a two-sided CI/test: it all depends on your assumptions and goals. Given what you are telling us, ie that the prior knowledge is very limited (' …
Giuseppe Biondi-Zoccai's user avatar
1 vote

Collecting and analysing data in RCT

Given that randomized allocation ensures theoretical equipoise, you correctly chose a test not encompassing adjustment for confounders. However, if you are facing repeated measures (eg blood test resu …
Giuseppe Biondi-Zoccai's user avatar
2 votes
0 answers
51 views

When is the chi-squared test becoming virtually identical to a Fisher exact test?

I am conducting several hypothesis tests for caterorical variables, with several groups being compared. I routinely use the Fisher exact test in Stata, but occasionally it may get time consuming and …
Giuseppe Biondi-Zoccai's user avatar
7 votes
2 answers
875 views

Is the frequentist framework more appropriate than the Bayesian one, according to Popper's t...

According to Karl Popper, only falsifiable hypotheses are truly scientific (quoting Wikipedia): no number of positive outcomes at the level of experimental testing can confirm a scientific theo …
Giuseppe Biondi-Zoccai's user avatar
17 votes

Is this the solution to the p-value problem?

This fine adjunct to the p-value debate, interesting but also somewhat stale in my opinion, reminds me of a unique paper published some years ago in the Christmas issue of the British Medical Journal …
0 votes

Using statistical significance test to validate cluster analysis results

Instead of hypothesis testing with a given test, I would recommend bootstrapping means or other summary estimates between clusters. For instance you could rely on percentile bootstrap with at least 10 …
Giuseppe Biondi-Zoccai's user avatar
2 votes

ASA discusses limitations of $p$-values - what are the alternatives?

My choice would be to continue using p values, but simply adding confidence/credible intervals, and possibly for the primary outcomes prediction intervals. There is a very nice book by Douglas Altman …
Giuseppe Biondi-Zoccai's user avatar
1 vote

Statistical significance, repeatability, and sample size (50 shades of grey)

You pose several important questions, some focusing on hypothesis testing, some on multiplicity, and so forth. These are my answers: The typical approach is to repeat the experiment analyzing every …
Giuseppe Biondi-Zoccai's user avatar
34 votes
8 answers
4k views

Should I teach Bayesian or frequentist statistics first?

I am helping my boys, currently in high school, understanding statistics, and I am considering beginning with some simple examples without disregarding some glimpses to theory. My goal would be to g …
Giuseppe Biondi-Zoccai's user avatar