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

Medverkande: Materialtyp: TextUtgivningsuppgift: London : SAGE Publications, 2016Beskrivning: 1 online resource : illustrations (colour)Innehållstyp:
  • text
  • still image
Medietyp:
  • computer
Bärartyp:
  • online resource
ISBN:
  • 9781473961968 (online resource) :
Ämnen: DDK-klassifikation:
  • 001.422 23
Onlineresurser: This dataset example introduces readers to ordered logit. This technique allows researchers to evaluate whether a categorical variable with three or more categories that follow some order is a function of one or more independent variables. The ordered 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 where individuals fall on a 4-point scale for body mass index (BMI). An analysis like this allows researchers to evaluate factors that affect personal health situations, which may be helpful in designing health policy.
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Includes bibliographical references.

This dataset example introduces readers to ordered logit. This technique allows researchers to evaluate whether a categorical variable with three or more categories that follow some order is a function of one or more independent variables. The ordered 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 where individuals fall on a 4-point scale for body mass index (BMI). An analysis like this allows researchers to evaluate factors that affect personal health situations, which may be helpful in designing health policy.

Specialized.

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

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