Joseph Berkson


Joseph Berkson was trained as a physicist, physician, and statistician.. He is best known for having identified a source of bias in observational studies caused by selection effects known as Berkson's paradox
In 1950, as Head of the Division of Biometry and Medical Statistics of the Mayo Clinic, Rochester, Minnesota, Berkson wrote a key paper entitled Are there two regressions?. In this paper Berkson proposed an error model for regression analysis that contradicted the classical error model until that point assumed to generally apply and this has since been termed the Berkson error model. Whereas the classical error model is statistically independent of the true variable, Berkson's model is statistically independent of the observed variable. Carroll et al. refer to the two types of error models as follows:
Berkson is also widely recognised as the key proponent in the use of the logistic in preference to the normal distribution in probabilistic techniques.
Berkson is also credited with the introduction of the logit model in 1944, and with coining this term. The term was borrowed by analogy from the very similar probit model developed by Chester Ittner Bliss in 1934.
Berkson was a prominent opponent of the idea that cigarette smoking causes cancer. In the 1957 Liggett & Myers annual report, he was quoted as saying "the evidence, taken as a whole, does not establish, on any reasonable scientific basis, that cigarette smoking causes lung cancer." Following the issuance of the famous report, he was quoted in Life Magazine as saying it was "very doubtful that smoking causes cancer of the lung."