2012
DOI: 10.4172/2155-6180.1000136
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Nonparametric Diagnostic Test for Conditional Logistic Regression

Abstract: The use of conditional logistic regression models to analyze matched case-control data has become standard in statistical analysis. However, methods to test the fit of these models has primarily focused on influential observations and the presence of outliers, while little attention has been given to the functional form of the covariates. In this paper we present methods to test the functional form of the covariates in the conditional logistic regression model, these methods are based on nonparametric smoother… Show more

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Cited by 3 publications
(3 citation statements)
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“…Model discrimination and calibration were assessed using standard logistic regression methods, since current statistical software is unable to calculate diagnostic measures that account for the matched design. 30,31 All statistical analyses were performed using SAS version 9.4 (SAS Institute, USA), and hypothesis testing was two-sided.…”
Section: Methodsmentioning
confidence: 99%
“…Model discrimination and calibration were assessed using standard logistic regression methods, since current statistical software is unable to calculate diagnostic measures that account for the matched design. 30,31 All statistical analyses were performed using SAS version 9.4 (SAS Institute, USA), and hypothesis testing was two-sided.…”
Section: Methodsmentioning
confidence: 99%
“…The criteria for selecting variables into the multivariable model were p-value of 0.1 and less while exclusion criteria was p = 0.05. The goodness of fit of the model was monitored by increase in the value of the log likelihood and p-values of the coefficients because available common standard statistical packages do not have diagnostic statistics for matched designs [ 30 ]. Item non-response was nil for most of the key variables and very minimal (<2%) where it existed.…”
Section: Methodsmentioning
confidence: 99%
“…Due to the lack of statistical software available to calculate diagnostic statistics for conditional logistic regression, model diagnostics were performed using standard logistic regression diagnostics. 31 …”
Section: Methodsmentioning
confidence: 99%