Kontrasty v logistické regresi

• Authors: Rehakova B.

Title variants

EN

CONSTRASTS IN LOGISTIC REGRESSION

• Languages of publication: CS

Abstracts

EN

The article deals with the use of various types of contrasts, especially in logistic regression. Contrasts were originally developed within the framework of the analysis of variance. They gradually expanded into other statistical methods, for example, into logistic regression and loglinear or logit models. They are also used in linear regression when there are categorical variables among the explaining variables. Contrasts represent a method for working with variables that are not numerical but categorical. The article refers to the well-known types, such as indicator, simple, deviation, repeated, Helmert, difference and polynomial contrasts. Several others are also proposed. Contrasts are classified according to the appropriateness of their use for different types of categorical variables (nominal, ordinal). Their meaning and effect on the interpretation of odds ratios are explained on the basis of examples created using real data.

Keywords

EN

CONTRAST MATRIX; DESIGN MATRIX; LOGISTIC REGRESSION; ODDS RATIOS; QUANTITATIVE METHODOLOGY

Discipline

• SOCIOLOGY: SOCIOLOGY

• Publisher: Institute of Sociology, Czech Academy of Sciences
• Journal: Sociologický časopis. Czech Sociological Review
• Year: 2008
• Volume: 44
• Issue: 4
• Pages: 745-766
• Document type: ARTICLE

Contributors

author

Rehakova B.

• B. Rehakova, Sociologicky ustav AV CR, v.v.i., Jilska 1, Praha 1, 110 00, Czech Republic, http://dlib.lib.cas.cz/3539/

Identifiers

CEJSH db identifier

08CZAAAA05476