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Effect size uncertainty is the rule, not the exception - Part 2: Sample size re-estimation
re-estimation
multivariate
adaptive designs
sample size

Whenever you plan a study, you need to decide beforehand how many participants you will need. That decision rests on a guess about how large the effect will turn out to be.…

Xynthia Kavelaars
Aug 26, 2026

Effect size uncertainty is the rule, not the exception - Part 1: Sequential designs
sequential designs
multivariate
adaptive designs
sample size
r

Imagine you’re designing a study. You only have a vague idea about the effect size of interest. How do you compute how many participants to recruit?

Xynthia Kavelaars
Jul 29, 2026

Sample size computations with two binary outcomes variables with the bmco-pwr app
Bayesian analysis
multivariate
sample size
bmco-pwr

Imagine you’re designing a clinical trial and are interested in the reduction of two different symptoms. How do you decide how many participants to recruit?

Xynthia Kavelaars
Jun 24, 2026

Multiple outcomes, multiple choices: Understanding superiority in the multivariate context
Bayesian
multivariate
decision rules
bmco
r

Imagine you’re evaluating a new cancer treatment. It reduces tumor size in most patients, but some experience severe side effects. How do you decide if the treatment is…

Xynthia Kavelaars
May 27, 2026

When binary outcomes move together: A Bayesian approach to multivariate analysis
Bayesian
multivariate
bmco
multilevel
decision rules
r

If you want to improve pain relief and quality of life, how do you know if your treatment really works? Discover how to analyze multiple outcomes together.

Xynthia Kavelaars
Apr 29, 2026
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