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Learn about logistic regression in R with data from the Behavioral Risk Factor Surveillance System (2013) / The Odum Institute.

Contributor(s): Material type: TextPublisher: London : SAGE Publications, 2016Description: 1 online resource : illustrations (colour)Content type:
  • text
  • still image
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781473961944 (online resource) :
Subject(s): DDC classification:
  • 001.422 23
Online resources: This dataset example introduces readers to logistic regression, often simply called logit. This technique allows researchers to evaluate whether a dichotomous dependent variable is a function of one or more independent variables. The logit model is most commonly estimated via maximum likelihood estimation (MLE). This example uses a subset of data from the 2013 Behavioral Risk Factor Surveillance System (BRFSS) operated by the U.S. Centers for Disease Control. It presents an analysis of whether or not a person engaged in physical exercise during the previous 30 days. An analysis like this allows researchers to evaluate factors that affect whether people exercise, which may be helpful in designing both personal fitness plans and more general health policies.
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Includes bibliographical references.

This dataset example introduces readers to logistic regression, often simply called logit. This technique allows researchers to evaluate whether a dichotomous dependent variable is a function of one or more independent variables. The logit model is most commonly estimated via maximum likelihood estimation (MLE). This example uses a subset of data from the 2013 Behavioral Risk Factor Surveillance System (BRFSS) operated by the U.S. Centers for Disease Control. It presents an analysis of whether or not a person engaged in physical exercise during the previous 30 days. An analysis like this allows researchers to evaluate factors that affect whether people exercise, which may be helpful in designing both personal fitness plans and more general health policies.

Specialized.

Description based on online resource; title from home page (viewed on January 8, 2016).

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