Analyzing Incomplete Data Subject to a Threshold using Empirical Likelihood Methods: An Application to a Pneumonia Risk Study in an ICU Setting
DOI10.1111/j.1541-0420.2009.01228.xzbMath1187.62181OpenAlexW2006226712WikidataQ33443386 ScholiaQ33443386MaRDI QIDQ3561809
Jihnhee Yu, Lili Tian, Albert Vexler
Publication date: 26 May 2010
Published in: Biometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/j.1541-0420.2009.01228.x
incomplete datalinear regressioncensored datatwo-sample testnonparametric testempirical likelihood ratio testventilator-associated pneumonia
Nonparametric hypothesis testing (62G10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01) Monte Carlo methods (65C05) Medical applications (general) (92C50) Testing in survival analysis and censored data (62N03)
Related Items (14)
Cites Work
- On Estimating Medical Cost and Incremental Cost-Effectiveness Ratios with Censored Data
- Empirical likelihood ratio confidence regions
- Empirical likelihood for linear models
- Empirical likelihood and general estimating equations
- Empirical likelihood is Bartlett-correctable
- Maximum Likelihood Ratio Tests for Comparing the Discriminatory Ability of Biomarkers Subject to Limit of Detection
- Empirical likelihood ratio confidence intervals for a single functional
- Empirical likelihood confidence intervals for the mean of a population containing many zero values
- Miscellanea. Combining parametric and empirical likelihoods
- A Simplex Method for Function Minimization
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