Semi-parametric methods for longitudinal data analysis

被引：0
|
作者：
Altman, N
机构：
来源：
AMERICAN STATISTICAL ASSOCIATION 1996 PROCEEDINGS OF THE BIOMETRICS SECTION | 1996年
关键词：
mixed model; random effects; nonlinear regression; local polynomial regression; self-modeling regression; SEMOR; shape-invariant regression; functional data analysis; semiparametric regression; sample of curves;
D O I：
暂无
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
Self-modeling regression is a powerful semiparametric tool for analysis of longitudinal data with time-invariant covariates. This paper explores the use of self-modelling regression for fitting data from a designed experiment in which the response is a curve. Recent advances in mixed nonlinear models and nonparametric regression with time series errors has made the use of mixed model self-modeling regression a feasible extension of parametric mixed model methods for studies in which the response is a curve.
引用
收藏
页码：49 / 57
页数：9
相关论文
共 50 条
  • [1] A Semi-parametric Model for Longitudinal Count Data
    Yin, Kang
    Jin, Tian
    [J]. ENERGY AND POWER TECHNOLOGY, PTS 1 AND 2, 2013, 805-806 : 1921 - +
  • [2] ESTIMATED NON-PARAMETRIC AND SEMI-PARAMETRIC MODEL FOR LONGITUDINAL DATA
    AL-Adilee, Reem Tallal Kamil
    Aboudi, Emad Hazim
    [J]. INTERNATIONAL JOURNAL OF AGRICULTURAL AND STATISTICAL SCIENCES, 2021, 17 : 1963 - 1972
  • [3] A semi-parametric Bayesian model for semi-continuous longitudinal data
    Ren, Junting
    Tapert, Susan
    Fan, Chun Chieh
    Thompson, Wesley K.
    [J]. STATISTICS IN MEDICINE, 2022, 41 (13) : 2354 - 2374
  • [4] Semi-parametric quantile regression for longitudinal analysis in the presence of missing at random data
    Goldwasser, MA
    Hughes, MD
    [J]. CONTROLLED CLINICAL TRIALS, 2003, 24 : 64S - 65S
  • [5] 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
  • [6] Inference in semi-parametric spline mixed models for longitudinal data
    Sinha S.K.
    Sattar A.
    [J]. METRON, 2015, 73 (3) : 377 - 395
  • [7] 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
  • [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] Analysis of longitudinal ordinal data using semi-parametric mixed model under missingness
    Rana, Subrata
    [J]. COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2022, 51 (10) : 5631 - 5642
  • [10] Using semi-parametric methods in an analysis of earnings mobility
    Ulrick, Shawn W.
    [J]. ECONOMETRICS JOURNAL, 2008, 11 (03): : 478 - 498
12345