Literature DB >> 18978950

Statistical Methods with Varying Coefficient Models.

Jianqing Fan1, Wenyang Zhang.   

Abstract

The varying coefficient models are very important tool to explore the dynamic pattern in many scientific areas, such as economics, finance, politics, epidemiology, medical science, ecology and so on. They are natural extensions of classical parametric models with good interpretability and are becoming more and more popular in data analysis. Thanks to their flexibility and interpretability, in the past ten years, the varying coefficient models have experienced deep and exciting developments on methodological, theoretical and applied sides. This paper gives a selective overview on the major methodological and theoretical developments on the varying coefficient models.

Year:  2008        PMID: 18978950      PMCID: PMC2575822          DOI: 10.4310/sii.2008.v1.n1.a15

Source DB:  PubMed          Journal:  Stat Interface        ISSN: 1938-7989            Impact factor:   0.582


  6 in total

1.  Mixtures of varying coefficient models for longitudinal data with discrete or continuous nonignorable dropout.

Authors:  Joseph W Hogan; Xihong Lin; Benjamin Herman
Journal:  Biometrics       Date:  2004-12       Impact factor: 2.571

2.  A varying-coefficient Cox model for the effect of age at a marker event on age at menopause.

Authors:  Bin Nan; Xihong Lin; Lynda D Lisabeth; Siobán D Harlow
Journal:  Biometrics       Date:  2005-06       Impact factor: 2.571

3.  Quadratic inference functions for varying-coefficient models with longitudinal data.

Authors:  Annie Qu; Runze Li
Journal:  Biometrics       Date:  2006-06       Impact factor: 2.571

4.  Analysis of Longitudinal Data with Semiparametric Estimation of Covariance Function.

Authors:  Jianqing Fan; Tao Huang; Runze Li
Journal:  J Am Stat Assoc       Date:  2007-06-01       Impact factor: 5.033

5.  Semiparametric models for longitudinal data with application to CD4 cell numbers in HIV seroconverters.

Authors:  S L Zeger; P J Diggle
Journal:  Biometrics       Date:  1994-09       Impact factor: 2.571

6.  Semiparametric estimation of covariance matrices for longitudinal data.

Authors:  Jianqing Fan; Yichao Wu
Journal:  J Am Stat Assoc       Date:  2008-12-01       Impact factor: 5.033

  6 in total
  53 in total

1.  Additive Nonlinear Functional Concurrent Model.

Authors:  Janet S Kim; Arnab Maity; Ana-Maria Staicu
Journal:  Stat Interface       Date:  2018-09-19       Impact factor: 0.582

2.  Generalized semiparametrically structured ordinal models.

Authors:  Gerhard Tutz
Journal:  Biometrics       Date:  2003-06       Impact factor: 2.571

3.  Multivariate varying coefficient models for DTI tract statistics.

Authors:  Hongtu Zhu; Martin Styner; Yimei Li; Linglong Kong; Yundi Shi; Weili Lin; Christopher Coe; John H Gilmore
Journal:  Med Image Comput Comput Assist Interv       Date:  2010

4.  Bayesian longitudinal low-rank regression models for imaging genetic data from longitudinal studies.

Authors:  Zhao-Hua Lu; Zakaria Khondker; Joseph G Ibrahim; Yue Wang; Hongtu Zhu
Journal:  Neuroimage       Date:  2017-01-29       Impact factor: 6.556

5.  A novel method for identifying nonlinear gene-environment interactions in case-control association studies.

Authors:  Cen Wu; Yuehua Cui
Journal:  Hum Genet       Date:  2013-08-24       Impact factor: 4.132

6.  VARYING COEFFICIENT MODELS FOR DATA WITH AUTO-CORRELATED ERROR PROCESS.

Authors:  Zhao Chen; Runze Li; Yan Li
Journal:  Stat Sin       Date:  2015-04       Impact factor: 1.261

7.  FSEM: Functional Structural Equation Models for Twin Functional Data.

Authors:  S Luo; R Song; M Styner; J H Gilmore; H Zhu
Journal:  J Am Stat Assoc       Date:  2018-07-09       Impact factor: 5.033

8.  Exploratory time varying lagged regression: modeling association of cognitive and functional trajectories with expected clinic visits in older adults.

Authors:  Damla Sentürk; Samiran Ghosh; Danh V Nguyen
Journal:  Comput Stat Data Anal       Date:  2014-05-01       Impact factor: 1.681

9.  Bayesian hierarchical model for multiple repeated measures and survival data: an application to Parkinson's disease.

Authors:  Sheng Luo; Jue Wang
Journal:  Stat Med       Date:  2014-06-17       Impact factor: 2.373

10.  A Sparse Structured Shrinkage Estimator for Nonparametric Varying-Coefficient Model with an Application in Genomics.

Authors:  Z John Daye; Jichun Xie; Hongzhe Li
Journal:  J Comput Graph Stat       Date:  2012-04-10       Impact factor: 2.302

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