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在“SpringerLink电子期刊”中，命中：29条，耗时：0.0719937 秒

在所有数据库中总计命中：69条

1. Empirical likelihood method for non-ignorable missing data problems

作者： Zhong Guan ; Jing Qin

关键词：Constrained estimation ; Empirical likelihood ; Non ; ignorable missing data ; Survey sampling

刊名：Lifetime Data Analysis

出版年：2017

2. Explicating the Conditions Under Which Multilevel Multiple Imputation Mitigates Bias Resulting from Random Coefficient-Dependent Missing Longitudinal Data

作者： Nisha C. Gottfredson ; Sonya K. Sterba ; Kristina M. Jackson

关键词：Multilevel multiple imputation ; Longitudinal missing data ; Random coefficient dependent ; Determinacy

刊名：Prevention Science

出版年：2017

3. Approximate conditional likelihood for generalized linear models with general missing data mechanism

作者： Jiwei Zhao ; Jun Shao

关键词：Asymptotic normality ; generalized linear model ; identifiability ; missing data mechanism ; non ; canonical link function ; nonignorable missingness

刊名：Journal of Systems Science and Complexity

出版年：2017

4. BAGEL: A non-ignorable missing value estimation method for mixed attribute datasets

作者： R Devi Priya ; S Kuppuswami ; R Sivaraj

关键词：Non ; ignorable missing data ; Bayesian techniques ; genetic algorithm ; Bayesian genetic algorithm ; continuous attributes ; discrete attributes

刊名：Sadhana

出版年：2016

5. Missing data imputation by K nearest neighbours based on grey relational structure and mutual information

作者： Ruilin Pan ; Tingsheng Yang ; Jianhua Cao ; Ke Lu ; Zhanchao Zhang

关键词：Missing data ; Grey theory ; Mutual information ; Feature relevance ; K nearest neighbours

刊名：Applied Intelligence

出版年：2015

6. Handling non-ignorable dropouts in longitudinal data: a conditional model based on a latent Markov heterogeneity structure

作者：Antonello Maruotti (1) (2)

1. Southampton Statistical Sciences Research Institute ; University of Southampton ; Southampton ; UK
2. Dipartimento di Scienze Politiche - Universit谩 di Roma Tre ; Roma ; Italy

关键词：Hidden Markov chains ; Conditional maximum likelihood ; Non ; ignorable missingness ; Longitudinal data ; Skin cancer ; Primary 62J12 ; 60J20 ; Secondary 62P10

刊名：TEST

出版年：2015

7. Population size estimation with covariate values missing non-ignorable

作者： Li-ping Liu ; Zhi-chao Guo ; Xiao-gang Duan

刊名：Acta Mathematicae Applicatae Sinica, English Series

出版年：2016

8. Subsample ignorable likelihood for accelerated failure time models with missing predictors

作者： Nanhua Zhang ; Roderick J. Little

关键词：Missing covariates ; Mortality ; Non ; ignorable missingness ; Partial likelihood

刊名：Lifetime Data Analysis

出版年：2015

9. Linear quantile regression models for longitudinal experiments: an overview

作者： Maria Francesca Marino ; Alessio Farcomeni

关键词：Quantile regression ; Longitudinal data ; Marginal models ; Conditional models ; Random effects ; Fixed effects ; Generalized estimating equations

刊名：METRON

出版年：2015

10. Uncertainty intervals for regression parameters with non-ignorable missingness in the outcome

作者： Minna Genb?ck ; Elena Stanghellini ; Xavier de Luna

关键词：Heckman model ; Informative dropout ; Selection models ; Sensitivity analysis ; Set identification ; Two stage least squares

刊名：Statistical Papers

出版年：2015

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