Robust methods for generalized linear models with nonignorable missing covariates

2008-06-01

Canadian Journal of Statistics , Volume 36 - Issue 2 p. 277- 299

Additional Metadata
Keywords	Delirium, Generalized linear model, Incomplete data, Maximum likelihood, Metropolis-hastings algorithm, Nonignorable missing covariates, Robust estimation
Persistent URL	doi.org/10.1002/cjs.5550360207
Journal	Canadian Journal of Statistics
Organisation	School of Mathematics and Statistics
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Sinha, S. K. (2008). Robust methods for generalized linear models with nonignorable missing covariates. Canadian Journal of Statistics, 36(2), 277–299. doi:10.1002/cjs.5550360207

Publication