Inference in semi-parametric spline mixed models for longitudinal data

被引：2

作者：

Sinha S.K. ^{[1
]}

Sattar A. ^{[2
]}

机构：

[1] School of Mathematics and Statistics, Carleton University, Ottawa, K1S 5B6, ON

[2] Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH

来源：

METRON | 2015年 / 73卷 / 3期

基金：

加拿大自然科学与工程研究理事会;

关键词：

Longitudinal response; Mixed model; Parametric bootstrap; Robust estimation; Spline regression;

D O I：

10.1007/s40300-015-0059-2

中图分类号：

学科分类号：

摘要：

In this paper, the authors investigate a robust semi-parametric mixed effects model for analyzing longitudinal data with an unspecified mean response function. The robust method, developed in the framework of the maximum likelihood, is used to bound the influence of potential outliers when estimating the model parameters. The authors also present a robust test procedure for assessing the significance of a variance component in the mixed model. An application is provided using a clinical dataset from a retinopathy of prematurity study in which longitudinal measurements were obtained from premature infants treated with supplemental oxygen. The empirical properties of the proposed estimators are also studied in simulations. © 2015 Sapienza Università di Roma.

引用

页码：377 / 395

页数：18

共 50 条

[1] Inferences in semi-parametric dynamic mixed models for longitudinal count data
Zheng, Nan
Sutradhar, Brajendra C.
[J]. ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, 2018, 70 (01) : 215 - 247
[2] Inferences in semi-parametric dynamic mixed models for longitudinal count data
Nan Zheng
Brajendra C. Sutradhar
[J]. Annals of the Institute of Statistical Mathematics, 2018, 70 : 215 - 247
[3] SEMI-PARAMETRIC INFERENCE FOR COPULA MODELS FOR TRUNCATED DATA
Emura, Takeshi
Wang, Weijing
Hung, Hui-Nien
[J]. STATISTICA SINICA, 2011, 21 (01) : 349 - 367
[4] Semi-parametric and Parametric Inference of Extreme Value Models for Rainfall Data
AghaKouchak, Amir
Nasrollahi, Nasrin
[J]. WATER RESOURCES MANAGEMENT, 2010, 24 (06) : 1229 - 1249
[5] Semi-parametric and Parametric Inference of Extreme Value Models for Rainfall Data
Amir AghaKouchak
Nasrin Nasrollahi
[J]. Water Resources Management, 2010, 24 : 1229 - 1249
[6] INFERENCE IN SEMI-PARAMETRIC DYNAMIC MODELS FOR REPEATED COUNT DATA
Sutradhar, Brajendra C.
Warriyar, K. V. Vineetha
Zheng, Nan
[J]. AUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS, 2016, 58 (03) : 397 - 434
[7] Semi-parametric Models for Longitudinal Count, Binary and Multinomial Data
Sutradhar, Brajendra C.
[J]. ADVANCES AND CHALLENGES IN PARAMETRIC AND SEMI-PARAMETRIC ANALYSIS FOR CORRELATED DATA, 2016, 218 : 199 - 229
[8] Semi-parametric Dynamic Models for Longitudinal Ordinal Categorical Data
Sutradhar, Brajendra C.
[J]. SANKHYA-SERIES A-MATHEMATICAL STATISTICS AND PROBABILITY, 2018, 80 (01): : 80 - 109
[9] Selection of covariance patterns for longitudinal data in semi-parametric models
Li, Jialiang
Wong, Weng Kee
[J]. STATISTICAL METHODS IN MEDICAL RESEARCH, 2010, 19 (02) : 183 - 196
[10] Modern variable selection for longitudinal semi-parametric models with missing data
Kowalski, J.
Hao, S.
Chen, T.
Liang, Y.
Liu, J.
Ge, L.
Feng, C.
Tu, X. M.
[J]. JOURNAL OF APPLIED STATISTICS, 2018, 45 (14) : 2548 - 2562

← 1 2 3 4 5 →