Jianxin Pan
Jianxin Pan
Professor of Statistics, School of Mathematics, The University of Manchester
Verified email at
Cited by
Cited by
Maximum likelihood estimation
JX Pan, KT Fang, JX Pan, KT Fang
Growth curve models and statistical diagnostics, 77-158, 2002
Growth curve models and statistical diagnostics
J Pan, K Fang
Springer, 2002
On modelling mean‐covariance structures in longitudinal studies
J Pan, G Mackenzie
Biometrika 90 (1), 239-244, 2003
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), 2195, 2013
Modelling covariance structures in generalized estimating equations for longitudinal data
H Ye, J Pan
Proceedings of the 19th International Workshop of Statistical Modelling, 244-48, 2004
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
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, 80-100, 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
Uniform designs based on Latin squares
KT Fang, WC Shiu, JX Pan
Statistica Sinica, 905-912, 1999
Tuning model parameters in class‐imbalanced learning with precision‐recall curve
GH Fu, LZ Yi, J Pan
Biometrical Journal 61 (3), 652-664, 2019
Regression models for covariance structures in longitudinal studies
J Pan, G MacKenzie
Statistical Modelling 6 (1), 43-57, 2006
Quasi-Monte Carlo estimation in generalized linear mixed models
J Pan, R Thompson
Proceedings of the 19th international workshop on statistical modelling, 239-243, 2004
Gauss-Hermite quadrature approximation for estimation in generalised linear mixed models
J Pan, R Thompson
Computational statistics 18, 57-78, 2003
A deterministic and stochastic model for the system dynamics of tumor–immune responses to chemotherapy
X Liu, Q Li, J Pan
Physica A: Statistical Mechanics and its Applications 500, 162-176, 2018
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
Hellinger distance-based stable sparse feature selection for high-dimensional class-imbalanced data
GH Fu, YJ Wu, MJ Zong, J Pan
BMC bioinformatics 21, 1-14, 2020
Covariance structure regularization via entropy loss function
L Lin, NJ Higham, J Pan
Computational Statistics & Data Analysis 72, 315-327, 2014
Random effects selection in generalized linear mixed models via shrinkage penalty function
J Pan, C Huang
Statistics and Computing 24, 725-738, 2014
Modelling conditional covariance in the linear mixed model
J Pan, G MacKenzie
Statistical Modelling 7 (1), 49-71, 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
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