

82. Liu, Y.*, Liu, Y., Li, P. and Zhang, Z. (2024+)
Twostep semiparametric empirical likelihood inference from capturerecapture data with missing covariates.
Test, In press.


81. Wang, C., Li, P., Liu, Y., Zhou, X.H. and Qin, J. (2024+)
Hypothesis test in a mixture forward incubation time epidemic model with an application to COVID19 outbreak.
Statistica Sinica, In press.




80. Li, P., Liu, Y. and Qin, J. (2023)
Instability of inverse probability weighting methods and a remedy for nonignorable missing data.
Biometrics, 79, 32153226.


79. Li, P., Yu, T., Chen, B. and Qin, J. (2023)
Maximum profile binomial likelihood estimation for the semiparametric BoxCox power transformation model.
Electronic Journal of Statistics, 17, 23172342.


78. Chen, Y.*, Li, P. and Wu, C. (2023)
Dealing with undercoverage for nonprobability survey samples.
Survey Methodology, 49, 497515.


77. Hu, D.*, Yuan, M.*, Yu, T. and Li, P. (2023)
Statistical inference for the twosample problem under likelihood ratio ordering, with application to the ROC curve estimation.
Statistics in Medicine, 42, 36493664.


76. Yu, T., Li, P., Chen, B., Yuan, A. and Qin, J. (2023)
Maximum pairwiseranklikelihoodbased inference for the semiparametric transformation model.
Journal of Econometrics, 235, 454469.


75. Yuan, M.*, Li P. and Wu C. (2023)
Semiparametric inference on Gini indices of two semicontinuous populations under density ratio models.
The Econometrics Journal, 26, 174188.




74. Chen, Y.*, Li, P., Rao, J. and Wu, C. (2022)
Pseudo empirical likelihood inference for nonprobability survey samples.
The Canadian Journal of Statistics, 50, 11661185.


73. Yuan, M.*, Li P. and Wu C. (2022)
Semiparametric empirical likelihood inference with estimating equations under density ratio models.
Electronic Journal of Statistics, 16, 53215377.


72. Qin, J., Liu, Y. and Li, P. (2022)
A selective review of statistical methods using calibration information
from similar studies (with discussion).
Statistical Theory and Related Fields, 6, 175190 and 204207.


71. Liu, Y.*, Li, P., Liu, Y. and Zhang, R. (2022+)
Semiparametric empirical likelihood inference for
abundance from oneinflated capture–recapture data.
Biometrical Journal, 64, 10401055.


70. Wang, C.*, Marriott, P. and Li, P. (2022)
A note on the coverage behaviour of bootstrap percentile confidence intervals for constrained parameters.
Metrika, 85, 809831.


69. Sheng, Z., Liu, Y., Li, P. and Qin, J. (2022)
Likelihood ratio test for genetic association study with casecontrol data under Probit model.
Journal of Applied Statistics, 49, 37173731.


68. Hu, Z., Li, P.,Follmann, D. and Qin, J. (2022)
A mixture distribution approach for assessing genetic impact from twin study.
Statistics in Medicine, 41, 25132522.


67. Yuan, M.*, Wang, C.*, Lin, B.* and Li, P. (2022)
Semiparametric inference on general functionals of two semicontinuous populations.
Annals of the Institute of Statistical Mathematics,74, 451–472.


66. Li M., Liu Y., Li P. and Qin J. (2022)
Empirical likelihood meta analysis with publication bias correction under Copaslike selection model.
Annals of the Institute of Statistical Mathematics, 74, 93112.


65. Liu, Y., Li, P. and Qin, J. (2022)
Fullsemiparametriclikelihoodbased inference for nonignorable missing data.
Statistica Sinica, 32, 271292.
Supplementary Material.



64. Yuan M*., Li P. and Wu C. (2021)
Semiparametric inference of the Youden index and the optimal cutoff Point under density ratio models.
The Canadian Journal of Statistics, 49, 965986.


63. Liu, Y.*, Liu, Y., Li, P. and Zhu, L. (2021)
Maximum likelihood abundance estimation from capturerecapture data when covariates are missing at random.
Biometrics, 77, 10501060.


62. Li, P., Akinlawon, O.*, and Zhao, S. (2021)
Controlling individual and experimentwise error rates in replicated regular twolevel factorial experiments.
Communications in Statistics  Simulation and Computation, 50, 17701790.
Supplementary Material.


61. Chen, J., Li, P., Liu, Y. and Zidek, J. (2021)
Composite empirical likelihood for multisample clustered data.
Journal of Nonparametric Statistics, 33, 6081.


60. Tian, Z.*, Liang, K. and Li, P. (2021)
Maximum multinomial likelihood estimation in compound mixture model with application to malaria study.
Journal of Nonparametric Statistics, 33, 2138.


59. Chen, J, Li, P., Qin, J. and Yu, T. (2021)
Test for homogeneity with unordered paired observations.
Electronic Journal of Statistics, 15, 16611694.


58. Tian, Z.*, Liang, K. and Li, P. (2021)
A powerful procedure that controls the false discovery rate with directional information.
Biometrics, 77, 212222.


57. Liu Y., Li P., Song L., Yu K., Qin J. (2021)
Retrospective score tests versus prospective score tests for genetic association with casecontrol data.
Biometrics, 77, 102112.



56. Chen, Y.*, Li, P. and Wu, C. (2020)
Doubly robust inference with nonprobability survey samples.
Journal of the American Statistical Association, 115, 20112021.


55. Liu*, G., Li, P., Liu, Y. and Pu, X. (2020)
Hypothesis testing for quantitative trait locus effects in both location and scale in genetic backcross studies.
Scandinavian Journal of Statistics, 47, 10641089.


54. Chen, J., Li, P. and Liu, G.* (2020)
Homogeneity testing under finite locationscale mixtures.
The Canadian Journal of Statistics, 48, 670684.



53. Yu, T., Li, P. and Qin, J. (2019)
Maximum smoothed likelihood component density estimation in mixture models with known mixing proportions.
Electronic Journal of Statistics, 13, 40354078.


52. Qin, J., Yu, T., Li, P., Liu, H and Chen, B. (2019)
Using a monotone singleindex model to stabilize the propensity score in missing data problems and causal inference.
Statistics in Medicine, 38, 14421458.


51. Niu, X*, Li, P. and Fu, Y. (2019)
Testing Homogeneity in a heteroscedastic contaminated normal mixture.
Journal of Applied Statistics, 46, 14781491.


50. Liu, G.*, Li, P., Liu, Y. and Pu, X. (2019)
On consistency of the MLE under finite mixture of locationscale distributions with a structural parameter.
Journal of Statistical Planning and Inference, 199, 2944.



49. Liu, Y.*, Liu, Y., Li, P. and Qin, J. (2018)
Full likelihood inference for abundance from continuoustime capturerecapture data.
Journal of the Royal Statistical Society: Series B, 80, 9951014.


48. Chen, B., Li, P. and Qin, J. (2018)
Generalization of Heckman selection model to nonignorable nonresponse using callback information.
Statistica Sinica, 28, 17611785.
Supplementary Material.


47. Wang, C.*, Marriott, P. and Li, P. (2018)
Semiparametric inference on the means of multiple nonnegative distributions with excess zero observations.
Journal of Multivaraite Analysis, 166, 182197.


46. Liu, G.*, Fu, Y., Li, P. and Pu, X. (2018)
Using differential variability to increase the power of the homogeneity test in a twosample problem.
Statistica Sinica, 28, 2741.
Supplementary Material.



45. Li, P., Liu, Y. and Qin, J. (2017)
Semiparametric inference in a genetic mixture model.
Journal of the American Statistical Association, 112, 12501260.


44. Liu, Y., Li, P. and Qin, J. (2017)
Maximum empirical likelihood estimation for abundance in a closed population from capturerecapture data. Biometrika, 104, 527543.
Supplementary Material.


43. Wang, C*., Marriott, P. and Li, P. (2017)
Testing homogeneity for multiple nonnegative distributions with excess zero observations. Computational Statistics & Data Analysis, 114, 146157.


42. Yu, T., Li, P. and Qin, J. (2017)
Density estimation in the twosample problem with likelihood ratio ordering.
Biometrika, 104, 141152.
Supplementary Material.




41. Li, P. and Tian, Z.* (2016)
Maximum smoothed likelihood estimation of the centre of a symmetric distribution.
In Advanced Statistical Methods in Data Science. D. Chen, J. Chen, X. Lu, Y. Yi, and H. Yu (Eds.). Singapore: Springer. 195204.


40. Chen, B., Li, P., Qin, J. and Yu, T. (2016)
Using a monotonic density ratio model to find the asymptotically optimal combination of multiple diagnostic tests.
Journal of the American Statistical Association, 111, 861874.


39. Niu, X.*, Li, P. and Zhang, P. (2016)
Testing homogeneity in a scale mixture of normal distributions.
Statistical papers, 57, 499516.


38. Zhao S. and Li P. (2016)
Construction of minimum aberration blocked twolevel regular factorial designs.
Communications in Statistics Theory and Methods, 45, 50285036.


37. Chen, J., Li, P. and Liu, Y. (2016)
Samplesize calculation for tests of homogeneity.
The Canadian Journal of Statistics, 44, 82101.


36. Chen, J. and Li, P. (2016)
Testing the order of a normal mixture in mean.
Communications in Mathematics and Statistics, 4, 2138.


35. Zhao, S., Lin, K. J. D., and Li, P. (2016)
A note on the construction of blocked twolevel designs with general minimum lower order confounding.
Journal of Statistical Planning and Inference, 172, 1622.




34. Qin, J., Zhang, H., Li, P., Albanes, D. and Yu, K. (2015)
Use covariate specific disease prevalence information to increase the power of casecontrol study.
Biometrika, 102,169180.
Supplementary Material.


33. Zhang, P., Luo, D., Li, P., Sharpsten, L., and Medeiros, F. (2015)
Loggamma linear mixedeffects models for multiple outcomes with application to a longitudinal glaucoma study.
Biometrical Journal, 57, 766776.





29. Yu, T. and Li, P. (2013)
Spatial shrinkage estimation of diffusion tensors on diffusion weighted imaging data.
Journal of the American Statistical Association, 108, 864875.


28. Zhao, S., Li, P. and Rohana Karunamuni (2013)
Blocked twolevel regular factorial designs with weak minimum aberration.
Biometrika, 100,
249253.


27. Zhao, S., Li, P., Zhang, R. and Karunamuni, R. (2013)
Construction of blocked twolevel regular designs with general minimum lower order confounding.
Journal of Statistical Planning and Inference, 143, 10821090.


26. Zhao, S., Li, P. and Liu, M. (2013)
Results on blocked resolution IV designs containing clear twofactor interactions.
Journal of Complexity, 29, 389395.


25. Manafiazar, G., McFadden T., Goonewardene L., Okine E., Basarab J., Li P. and Wang Z. (2013)
Prediction of residual feed intake for first lactation dairy cows using orthogonal polynomial random regression.
Journal of Dairy Science, 96, 79918001.




24. Chen, J., Li, P. and Fu, Y. (2012)
Inference on the order of a normal mixture.
Journal of the American Statistical Association, 107, 10961105.


23. Wiens, D. and Li, P. (2012)
A robust treatment of a doseresponse study.
Applied Stochastic Models in Business and Industry, 28, 164173.


22. Liu, Y., Li, P. and Fu, Y. (2012)
Testing homogeneity in a semiparametric twosample model.
Journal of Probability and Statistics, vol. 2012, Article ID 537474.




21. Li, P. and Qin, J. (2011)
A new nuisance parameter elimination method with application to unordered homologous chromosome pairs problem.
Journal of the American Statistical Association, 106, 14761484.


20. Chen, J and Li, P. (2011)
Tuning EMtest for finite mixture models.
The Canadian Journal of Statistics, 39, 389404.


19. Li, P., Zhao, S. and Zhang, R. (2011)
A theory on constructing 2nm designs with general minimum lower order confounding.
Statistica Sinica, 21,15711589.


18. Niu, X*, Li, P. and Zhang, P. (2011)
Testing homogeneity in a multivariate mixture model.
The Canadian Journal of Statistics, 39, 218238.


17. Li, P. and Wiens, D. (2011)
Robustness of design in doseresponse studies.
Journal of the Royal Statistical Society: Series B, 73, 215238.


16. Chen, J. and Li, P. (2011)
The limiting distribution of the EMtest of the order of a finite mixture.
In Mixture Estimation and Applications, K. Mengersen, C. Robert, and D. M. Titterington (Eds.). Hoboken, New Jersey: Wiley. 5575.





14. Chen, J. and Li, P. (2009)
Hypothesis test for normal mixture models: the EM approach.
The Annals of Statistics, 37, 25232542.
Supplementary Material.


13. Li, P., Chen, J. and Marriott, P. (2009)
Nonfinite Fisher information and homogeneity: the EM approach.
Biometrika, 96, 41142.


12. Li, P. and Wang, D. (2009)
Numerical analysis of the validity of uniform design in stated choice modeling.
Transport Reviews, 29, 619634.




11. Chen, J., Li, P. and Fu, Y. (2008)
Testing homogeneity in a mixture of von Mises distributions with a structural parameter.
The Canadian Journal of Statistics, 36, 129142.


10. Fu, Y., Chen, J. and Li, P. (2008)
Modified likelihood ratio test for homogeneity in a mixture of von Mises distributions.
Journal of Statistical Planning and Inference, 138, 667681.




9. Li, P., Liu, M. and Zhang, R. (2007)
2m41 designs with minimum aberration or weak minimum aberration.
Statistical Paper, 48, 235248.


8. Chen, J., Li, P. and Tan, X. (2007)
Inference for von Mises mixture in mean directions and concentration parameters.
Journal of Systems Science and Mathematical Science, 27, 5967.




7. Yang, J., Li, P., Liu, M. and Zhang, R. (2006)
2(n1+n2)(k1+k2) fractional factorial splitplot designs containing clear effects.
Journal of Statistical Planning and Inference, 136, 44504458.


6. Chen, B., Li, P., Liu, M. and Zhang, R. (2006)
Some results on blocked regular 2level fractional factorial designs with clear effects.
Journal of Statistical Planning and Inference, 136, 44364449.


5. Li, P., Chen, B., Liu, M. and Zhang, R. (2006)
A note on minimum aberration and clear criteria.
Statistics and Probability Letters, 76, 10071011.




4. Wang, D. and Li, P. (2005)
Does uniform design really work in stated choice modeling? A simulation study.
Transportmetrica, 1, 209222.


3. Ai, M., Li, P. and Zhang, R. (2005)
Optimal criteria and equivalence for nonregular fractional factorial designs.
Metrika, 62, 7383.


2. Li, P., Liu, M. and Zhang, R. (2005)
Choice of optimal initial designs in sequential experiments.
Metrika, 61, 127135.








   