Research article summary (published 28 Feb 1992):

Computer-assisted analysis of mixtures (C.A.MAM): statistical algorithms.

Full Abstract

This paper presents various algorithmic approaches for computing the maximum likelihood estimator of the mixing distribution of a one-parameter family of densities and provides a unifying computer-oriented concept for the statistical analysis of unobserved heterogeneity (i.e., observations stemming from different subpopulations) in a univariate sample. The case with unknown number of population subgroups as well as the case with known number of population subgroups, with emphasis on the first, is considered in the computer package C.A.MAN (Computer Assisted Mixture Analysis). It includes an algorithmic menu with choices of the EM algorithm, the vertex exchange algorithm, a combination of both, as well as the vertex direction method. To ensure reliable convergence, a step-length menu is provided for the three latter methods, each achieving monotonicity for the direction of choice. C.A.MAN has the option to work with restricted support size-that is, the case when the number of components is known a priori. In the latter case, the EM algorithm is used. Applications of mixture modelling in medical problems are discussed.

Author information

Author/s: Böhning, D (D); Schlattmann, P (P); Lindsay, B (B);

Affiliation: Department of Epidemiology. Free University Berlin, Germany.

Journal and publication information

Publication Type: Journal Article; Research Support, Non-U.S. Gov't

Journal: Biometrics (Biometrics), published in UNITED STATES. (Language: eng)

Reference: 1992-Mar; vol 48 (issue 1) : pp 283-303

Dates: Created 1992/06/18; Completed 1992/06/18; Revised 2006/11/15;

PMID: 1581488, status: MEDLINE (last retrieved date: 2/18/2009)

Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.

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MeSH headings (categories)

This article was linked to the MeSH Headings (categories) shown below.

Algorithms Biometry - methods Child, Preschool Computers Health Status Humans

Humans Infant Likelihood Functions Mortality Nutrition Disorders - prevention & control Sudden Infant Death - epidemiology

Note: Bold headings indicate primary MeSH headings or qualifiers.

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