Maximum likelihood estimation JX Pan, KT Fang Growth curve models and statistical diagnostics, 77-158, 2002 | 214 | 2002 |

On modelling mean‐covariance structures in longitudinal studies J Pan, G Mackenzie Biometrika 90 (1), 239-244, 2003 | 189 | 2003 |

Growth curve models and statistical diagnostics J Pan, K Fang Springer, 2002 | 187 | 2002 |

Some algebra and geometry for hierarchical models, applied to diagnostics JS Hodges Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 1998 | 163 | 1998 |

High arsenic in rice is associated with elevated genotoxic effects in humans M Banerjee, N Banerjee, P Bhattacharjee, D Mondal, PR Lythgoe, ... Scientific reports 3 (1), 1-8, 2013 | 155 | 2013 |

Modelling of covariance structures in generalised estimating equations for longitudinal data H Ye, J Pan Biometrika 93 (4), 927-941, 2006 | 119 | 2006 |

Semiparametric mean–covariance regression analysis for longitudinal data C Leng, W Zhang, J Pan Journal of the American Statistical Association 105 (489), 181-193, 2010 | 95 | 2010 |

A general joint model for longitudinal measurements and competing risks survival data with heterogeneous random effects X Huang, G Li, RM Elashoff, J Pan Lifetime data analysis 17 (1), 80-100, 2011 | 70 | 2011 |

Multiple outlier detection in multivariate data using projection pursuit techniques JX Pan, WK Fung, KT Fang Journal of Statistical Planning and Inference 83 (1), 153-167, 2000 | 70 | 2000 |

Uniform designs based on Latin squares KT Fang, WC Shiu, JX Pan Statistica Sinica, 905-912, 1999 | 63 | 1999 |

Regression models for covariance structures in longitudinal studies J Pan, G MacKenzie Statistical Modelling 6 (1), 43-57, 2006 | 47 | 2006 |

Quasi-Monte Carlo estimation in generalized linear mixed models J Pan, R Thompson Computational Statistics & Data Analysis 51 (12), 5765-5775, 2007 | 42 | 2007 |

Modelling conditional covariance in the linear mixed model J Pan, G MacKenzie Statistical Modelling 7 (1), 49-71, 2007 | 31 | 2007 |

Local influence assessment in the growth curve model with unstructured covariance JX Pan, KT Fang, D von Rosen Journal of Statistical Planning and Inference 62 (2), 263-278, 1997 | 27 | 1997 |

Covariance structure regularization via entropy loss function L Lin, NJ Higham, J Pan Computational Statistics & Data Analysis 72, 315-327, 2014 | 25 | 2014 |

Gauss-hermite quadrature approximation for estimation in generalised linear mixed models J Pan, R Thompson Computational Statistics 18 (1), 57-78, 2003 | 25 | 2003 |

Variable selection in general frailty models using penalized h-likelihood ID Ha, J Pan, S Oh, Y Lee Journal of Computational and Graphical Statistics 23 (4), 1044-1060, 2014 | 21 | 2014 |

Random effects selection in generalized linear mixed models via shrinkage penalty function J Pan, C Huang Statistics and Computing 24 (5), 725-738, 2014 | 20 | 2014 |

Influential observation in the growth curve model with unstructured covariance matrix JX Pan, KT Fang Computational statistics & data analysis 22 (1), 71-87, 1996 | 19 | 1996 |

Multiple outlier detection in growth curve model with unstructured covariance matrix JX Pan, KT Fang Annals of the Institute of Statistical Mathematics 47 (1), 137-153, 1995 | 19 | 1995 |