Joseph Berkson

Joseph Berkson
Born	14 May 1899 May New York City
Died	12 September 1982
Nationality	American
Alma mater	Johns Hopkins University
Known for	Berkson's paradox Berkson error model
Scientific career
Fields	Biostatistics
Institutions	Mayo Clinic
Doctoral advisor	Lowell Reed
Doctoral students	Lila Elveback

Joseph Berkson (born New York City 14 May 1899 – died 12 September 1982) was trained as a physicist (BSc 1920 College of City of New York, M.A., 1922, Columbia), physician (M.D., 1927, Johns Hopkins), and statistician (Dr.Sc., 1928, Johns Hopkins). 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 (1934–1964) 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. (1995) refer to the two types of error models as follows:

• error models including the Classical Measurement Error models and Error Calibration Models, where the conditional distribution of W given (Z, X) is modeled — use of such a model is appropriate when attempting to determine X directly, but this is prevented by various errors in measurement.
• regression calibration models (also known as controlled-variable or Berkson error models), where the conditional distribution of X given (Z, W) is modeled.

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 Smoking and Health: Report of the Advisory Committee to the Surgeon General of the United States, he was quoted in Life Magazine as saying it was "very doubtful that smoking causes cancer of the lung."