Bayesian biostatistics procedures matching frequentist confidence intervals

Confidence intervals are commonly misinterpreted as there being, after observing the data, a 95% probability that the true parameter lies within the confidence interval. The usual explanation why… »

On the credible probability of confidence intervals

Confidence intervals are commonly misinterpreted by consumers of statistics. Hoekstra et al. [1] presented 120 psychology researchers and 442 students with ‘a fictitious scenario of a professor… »

Quasi-likelihood gamma regression in statsmodels for zeroes in observations

Generalised linear models with a gamma distribution and log link are frequently used to model non-negative right-skewed continuous data, such as costs [1].

For example, in statsmodels:… »

Robust Poisson regression in medical biostatistics

Log-binomial and robust (modified) Poisson regression are common approaches to estimating risk ratios in medical biostatistics [1].

I have discussed log-binomial regression in a previous post about… »

Generalised linear models for medical biostatistics

Recently, I've been doing some statistical analysis using log-binomial generalised linear models (GLMs). Resources on the topic seem to fall largely into 2 categories:

• Assume you want to