A semiparametric Wald statistic for testing logistic regression models based on case-control data
From MaRDI portal
Publication:1042805
DOI10.1007/s11425-008-0086-zzbMath1184.62069OpenAlexW2015137156MaRDI QIDQ1042805
Publication date: 7 December 2009
Published in: Science in China. Series A (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11425-008-0086-z
Nonparametric regression and quantile regression (62G08) Nonparametric hypothesis testing (62G10) Generalized linear models (logistic models) (62J12)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Empirical distributions in selection bias models
- Large sample theory of empirical distributions in biased sampling models
- Nonparametric estimation in the presence of length bias
- Empirical likelihood in biased sample problems
- Weak convergence and empirical processes. With applications to statistics
- An information matrix test for logistic regression models based on case-control data
- Using logistic regression procedures for estimating receiver operating characteristic curves
- Best Subsets Logistic Regression
- On Tests of Normality and Other Tests of Goodness of Fit Based on Distance Methods
- Transformations of the explanatory variables in the logistic regression model for binary data
- A family of nonparametric statistics for comparing diagnostic markers with paired or unpaired data
- Logistic disease incidence models and case-control studies
- A goodness-of-fit test for logistic regression models based on case-control data
- On robust estimation in logistic case-control studies
- A chi-squared goodness-of-fit test for logistic regression models based on case-control data
- A Note on Quantiles in Large Samples
- Maximum Likelihood Estimation of Misspecified Models
This page was built for publication: A semiparametric Wald statistic for testing logistic regression models based on case-control data