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Regression Analysis
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Definition of 'Regression Analysis'

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.

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Friday, November 20, 2009

Doctors' stress responses and poor communication performance in simulated bad-news consultations.

30 Oct 2009 PURPOSE: No studies have previously evaluated factors associated with high stress levels and poor communication performance in breaking bad news (BBN) consultations. This study determined factors that were most strongly related to doctors' stress ... Read more...


Measuring motivational characteristics of courses: applying Keller's instructional materials motivation survey to a web-based course.

30 Oct 2009 PURPOSE: The Instructional Materials Motivation Survey (IMMS) purports to assess the motivational characteristics of instructional materials or courses using the Attention, Relevance, Confidence, and Satisfaction (ARCS) model of motivation. The IMMS ... Read more...


Predicting social support for grieving persons: a theory of planned behavior perspective.

30 Oct 2009 Research has consistently reported that social support from family, friends, and colleagues is an important factor in the bereaved person's ability to cope after the loss of a loved one. This study used a Theory of Planned Behavior framework to ... Read more...

 

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Technical information about 'Regression Analysis'

Definition: 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.

Descriptor UI: D012044

Alternative terms: Regression Analysis; Statistical Regression; Regression, Statistical; Regressions, Statistical; Statistical Regressions; Regression Diagnostics; Diagnostics, Regression; Analysis, Regression; Analyses, Regression; Regression Analyses;

Tree Number: E05.318.740.750; N05.715.360.750.695; N06.850.520.830.750;

History Note: 80(73); was see under STATISTICS 1975-79

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

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