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1. On the estimation of variance parameters in non-standard generalised linear mixed models: application to penalised smoothing: (Publication); We present a novel method for the estimation of variance parameters in generalised linear mixed models. The method has its roots in Harville (J Am Stat Assoc 72(358):320–338, 1977)’s work, but it is able ...; Created on 25 September 2019
2. Dimension reduction estimation for central mean subspace with missing multivariate response: (Publication); Multivariate response data often arise in practice and they are frequently subject to missingness. Under this circumstance, the standard sufficient dimension reduction (SDR) methods cannot be used directly. ...; Created on 25 September 2019
3. Plug-in marginal estimation under a general regression model with missing responses and covariates: (Publication); In this paper, we consider a general regression model where missing data occur in the response and in the covariates. Our aim is to estimate the marginal distribution function and a marginal functional, ...; Created on 24 September 2019
4. On the estimation of variance parameters in non-standard generalised linear mixed models: application to penalised smoothing: (Publication); We present a novel method for the estimation of variance parameters in generalised linear mixed models. The method has its roots in Harville (J Am Stat Assoc 72(358):320–338, 1977)’s work, but it is able ...; Created on 02 October 2018
5. Quantile regression and its empirical likelihood with missing response at random: (Publication); In this paper, we study the linear quantile regression model when response data are missing at random. Based on the inverse probability weight method, we establish an estimation equation on quantile regression ...; Created on 01 October 2018
6. Penalized empirical likelihood for quantile regression with missing covariates and auxiliary information: (Publication); Based on the inverse probability weight method, we, in this article, construct the empirical likelihood (EL) and penalized empirical likelihood (PEL) ratios of the parameter in the linear quantile regression ...; Created on 01 October 2018
7. Survival analysis with delayed entry in selected families with application to human longevity: (Publication); In the field of aging research, family-based sampling study designs are commonly used to study the lifespans of long-lived family members. However, the specific sampling procedure should be carefully taken ...; Created on 22 May 2018
8. Nonparametric Estimation of Transition Probabilities for a General Progressive Multi-State Model Under CrossSectional Sampling: (Publication); Nonparametric estimation of the transition probability matrix of a progressive multi-state model is consideredunder cross-sectional sampling. Two diﬀerent estimators adapted to possibly right-censored ...; Created on 20 February 2018
9. Inverse Probability Weighted Cox Regression for Doubly Truncated Data: (Publication); Doubly truncated data arise when event times are observed only if they fall within subject-specific, possibly random, intervals. While non-parametric methods for survivor function estimation using doubly ...; Created on 20 February 2018
10. Survival analysis with delayed entry in selected families with application to human longevity: (Publication); In the field of aging research, family-based sampling study designs are commonly used to study the lifespans of long-lived family members. However, the specific sampling procedure should be carefully taken ...; Created on 18 September 2017
11. Impact of PI3K/AKT/mTOR pathway activation on the prognosis of patients with head and neck squamous cell carcinomas: (Publication); The PI3K/AKT/mTOR signaling pathway has emerged as one of the most frequently deregulated in head and neck squamous cell carcinomas (HNSCC). Numerous alterations of various upstream and downstream components ...; Created on 04 November 2016