| Registro completo |
| Provedor de dados: |
AgEcon
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| País: |
United States
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| Título: |
Goodness-of-fit test for a logistic regression model fitted using survey sample data
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| Autores: |
Archer, Kellie J.
Lemeshow, Stanley
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| Data: |
2011-11-04
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| Ano: |
2006
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| Palavras-chave: |
Svylogitgof
Goodness of fit
Survey design
Svy
Logistic regression
Logit
Research Methods/ Statistical Methods
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| Resumo: |
After a logistic regression model has been fitted, a global test of goodness of fit of the resulting model should be performed. A test that is commonly used to assess model fit is the Hosmer–Lemeshow test, which is available in Stata and most other statistical software programs. However, it is often of interest to fit a logistic regression model to sample survey data, such as data from the National Health Interview Survey or the National Health and Nutrition Examination Survey. Unfortunately, for such situations no goodness-of-fit testing procedures have been developed or implemented in available software. To address this problem, a Stata ado-command, svylogitgof, for estimating the F-adjusted mean residual test after svy: logit or svy: logistic estimation has been developed, and this paper describes its implementation.
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| Tipo: |
Journal Article
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| Idioma: |
Inglês
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| Identificador: |
st0099
http://purl.umn.edu/117559
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| Relação: |
Stata Journal>Volume 6, Number 1, 1st Quarter 2006
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| Formato: |
9
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