The effects of sampling strategies on the small sample properties of the logit estimator

DOI10.1080/02664760500078888zbMath1121.62363OpenAlexW2150758031MaRDI QIDQ3592010

Jason Dietrich

Publication date: 11 September 2007

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664760500078888

zbMATH Keywords

samplingMonte Carlologit

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Inferences from logistic regression models in the presence of small samples, rare events, nonlinearity, and multicollinearity with observational data

Cites Work

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• Approximate bias correction in econometrics
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• Logistic disease incidence models and case-control studies
• Fitting Logistic Regression Models in Stratified Case-Control Studies
• Fitting regression models to case-control data by maximum likelihood
• Design and Analysis of Two-Phase Studies with Binary Outcome Applied to Wilms Tumour Prognosis
• Separate sample logistic discrimination

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