Fitting limiting dilution experiments with generalized linear models results in a test of the single-hit Poisson assumption

J Immunol Methods. 1996 Aug 14;194(2):113-9. doi: 10.1016/0022-1759(96)00077-4.

Abstract

Limiting dilution analysis is a common technique that is used in immunology to estimate accurately the frequency of cells possessing a wide variety of functional activities such as growth, cytotoxicity and production of lymphokines. The reliability of the estimated frequency is usually checked by a standard chi-square (x2) test validating the goodness-of-fit to the single-hit Poisson model (SHPM). We present evidence that modelling limiting dilution data according to a generalized linear model offers an alternative to the standard x2 test for detecting departures from the SHPM, with a considerable increase in power compared to the x2 test.

MeSH terms

  • Immunologic Techniques*
  • Indicator Dilution Techniques*
  • Linear Models
  • Mathematical Computing
  • Models, Statistical*
  • Poisson Distribution*
  • Reproducibility of Results