A profile conditional likelihood approach for the semiparametric transformation regression model with missing covariates.

Hua Yun Chen; Roderick J. A. Little

doi:10.1023/a:1011662322979

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A profile conditional likelihood approach for the semiparametric transformation regression model with missing covariates.

Hua Yun Chen Roderick J. A. Little

Year: 2001 Journal: Lifetime Data Analysis Vol: 7 (3)Pages: 207-224 Publisher: Springer Science+Business Media

DOI: 10.1023/a:1011662322979

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Keywords:

Missing data Covariate Mathematics Estimator Statistics Censoring (clinical trials) Survival function Conditional probability distribution Likelihood function Econometrics Probit model Efficient estimator Maximum likelihood Minimum-variance unbiased estimator

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Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Statistical Methods and Bayesian Inference

Physical Sciences → Mathematics → Statistics and Probability

Bayesian Methods and Mixture Models

Physical Sciences → Computer Science → Artificial Intelligence

A profile conditional likelihood approach for the semiparametric transformation regression model with missing covariates.

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