Two-sample nonparametric likelihood inference based on incomplete data with an application to a pneumonia study

DOI10.1002/bimj.200900131zbMath1205.62187OpenAlexW1965329737WikidataQ33599062 ScholiaQ33599062MaRDI QIDQ2786181

Shuling Liu, Albert Vexler, Lili Tian, Jihnhee Yu

Publication date: 21 September 2010

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/bimj.200900131

zbMATH Keywords

incomplete dataempirical likelihoodnonparametric inferencepneumonia studytwo group comparison

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Monte Carlo methods (65C05) Medical applications (general) (92C50)

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Cites Work

• Estimation of Relationships for Limited Dependent Variables
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• Empirical likelihood ratio confidence intervals for a single functional
• Confidence Interval Estimation of Survival Probabilities for Censored Data
• Empirical likelihood confidence intervals for the mean of a population containing many zero values
• Miscellanea. Combining parametric and empirical likelihoods
• Empirical likelihood estimation for finite populations and the effective usage of auxiliary information

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