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... > Health Occupations > Medicine > Public Health > Epidemiologic Methods > Statistics as Topic > Regression Analysis
Environment and Public Health > Public Health > Epidemiologic Methods > Statistics as Topic > Regression Analysis
... > Population Characteristics > Health > Public Health > Epidemiologic Methods > Statistics as Topic > Regression Analysis
Investigative Techniques > Epidemiologic Methods > Statistics as Topic > Regression Analysis
Health Care Quality, Access, and Evaluation > Quality of Health Care > Health Care Evaluation Mechanisms > Statistics as Topic > Regression Analysis
... > Health Occupations > Health Services Administration > Quality of Health Care > Health Care Evaluation Mechanisms > Statistics as Topic > Regression Analysis
Natural Science Disciplines > Mathematics > Statistics as Topic > Regression Analysis

Preferred term

Regression Analysis  

Type

  • Topical Descriptor

Broader concept

Narrower concepts

Entry terms

  • Analyses, Regression
  • Analysis, Regression
  • Diagnostics, Regression
  • Regression Analyses
  • Regression Diagnostics
  • Regressions, Statistical
  • Regression, Statistical
  • Statistical Regression
  • Statistical Regressions

Note

  • IM GEN only; coord NIM with specific disease or other concept (IM); no qualif; specify geog if pertinent

Scope note

  • Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable.

History note

  • 80(73); was see under STATISTICS 1975-79

In other languages

URI

http://www.yso.fi/onto/mesh/D012044

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