Bias Reduction and a Solution for Separation of Logistic Regression with Missing Covariates
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Publication:5850976
DOI10.1111/j.1541-0420.2008.01186.xzbMath1180.62102OpenAlexW2110705358WikidataQ37855036 ScholiaQ37855036MaRDI QIDQ5850976
Vivek Pradhan, Tapabrata Maiti
Publication date: 21 January 2010
Published in: Biometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/j.1541-0420.2008.01186.x
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Related Items (2)
Corrected likelihood-ratio tests in logistic regression using small-sample data ⋮ Bias Reduction in Logistic Regression with Missing Responses When the Missing Data Mechanism is Nonignorable
Uses Software
Cites Work
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- On the existence of maximum likelihood estimates in logistic regression models
- Computing Distributions for Exact Logistic Regression
- Bias reduction of maximum likelihood estimates
- Missing-Data Methods for Generalized Linear Models
- An invariant form for the prior probability in estimation problems
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