1. Zhao W, Peng L*, Hanfelt J. Semiparametric latent class analysis of recurrent event data. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2022+. DOI:10.1111/rssb.12499

2. Wan A, Zhao W*, Gilbert P, Zhou Y. A varying-coefficient partially linear transformation model for length-biased data with an application to HIV vaccine studies. International Journal of Biostatistics, 2022+. DOI:10.1515/ijb-2021-0057

3. Ma H# , Zhao W# , Zhou Y* . Semiparametric model of mean residual life with biased sampling data[J]. Computational Statistics & Data Analysis, 2020, 142. DOI: https://doi.org/10.1016/j.csda.2019.106826

4. Fan S , Zhao W , Wan A T K* , et al. A composite nonparametric product limit approach for estimating the distribution of survival times under length-biased and right-censored data[J]. Statistics and its Interface, 2020, 13(2):221-235. DOI: https://doi.org/10.4310/SII.2020.v13.n2.a7

5. Efficient estimation of the general additive-multiplicative hazards model with auxiliary subgroup quantile information (working paper)

6. Flexible semiparametric latent class analysis of recurrent Events (working paper)

7. Quantile regression of latent longitudinal trajectory features (working paper)

1. Zhao W, Peng L*, Hanfelt J. Semiparametric latent class analysis of recurrent event data. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2022+. DOI:10.1111/rssb.12499

2. Wan A, Zhao W*, Gilbert P, Zhou Y. A varying-coefficient partially linear transformation model for length-biased data with an application to HIV vaccine studies. International Journal of Biostatistics, 2022+. DOI:10.1515/ijb-2021-0057

3. Ma H# , Zhao W# , Zhou Y* . Semiparametric model of mean residual life with biased sampling data[J]. Computational Statistics & Data Analysis, 2020, 142. DOI: https://doi.org/10.1016/j.csda.2019.106826

4. Fan S , Zhao W , Wan A T K* , et al. A composite nonparametric product limit approach for estimating the distribution of survival times under length-biased and right-censored data[J]. Statistics and its Interface, 2020, 13(2):221-235. DOI: https://doi.org/10.4310/SII.2020.v13.n2.a7

5. Efficient estimation of the general additive-multiplicative hazards model with auxiliary subgroup quantile information (working paper)

6. Flexible semiparametric latent class analysis of recurrent Events (working paper)

7. Quantile regression of latent longitudinal trajectory features (working paper)

1. Zhao W, Peng L*, Hanfelt J. Semiparametric latent class analysis of recurrent event data. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2022+. DOI:10.1111/rssb.12499

2. Wan A, Zhao W*, Gilbert P, Zhou Y. A varying-coefficient partially linear transformation model for length-biased data with an application to HIV vaccine studies. International Journal of Biostatistics, 2022+. DOI:10.1515/ijb-2021-0057

3. Ma H# , Zhao W# , Zhou Y* . Semiparametric model of mean residual life with biased sampling data[J]. Computational Statistics & Data Analysis, 2020, 142. DOI: https://doi.org/10.1016/j.csda.2019.106826

4. Fan S , Zhao W , Wan A T K* , et al. A composite nonparametric product limit approach for estimating the distribution of survival times under length-biased and right-censored data[J]. Statistics and its Interface, 2020, 13(2):221-235. DOI: https://doi.org/10.4310/SII.2020.v13.n2.a7

5. Efficient estimation of the general additive-multiplicative hazards model with auxiliary subgroup quantile information (working paper)

6. Flexible semiparametric latent class analysis of recurrent Events (working paper)

7. Quantile regression of latent longitudinal trajectory features (working paper)