[2] He is best known for having identified a source of bias in observational studies caused by selection effects known as Berkson's paradox.
[3] In 1950, as Head (1934–1964) of the Division of Biometry and Medical Statistics[2] of the Mayo Clinic, Rochester, Minnesota, Berkson wrote a key paper entitled Are there two regressions?
[5] Carroll et al. (1995) refer to the two types of error models as follows:[6] Berkson is also widely recognised as the key proponent in the use of the logistic in preference to the normal distribution in probabilistic techniques.
The term was borrowed by analogy from the very similar probit model developed by Chester Ittner Bliss in 1934.
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.