程毅豪 教授

程毅豪教授

聯絡電話:(02) 2783-3727

傳真電話:(02) 2788-6833

E-mail:yhchen@stat.sinica.edu.tw

個人網頁:程毅豪 教授

學歷

○ 國立台灣大學公共衛生研究所生物統計組 博士

○ 國立政治大學統計研究所 碩士

○ 國立台灣大學電機工程學系 學士

● 現職

○ 中央研究院 統計科學研究所特聘研究員

○ 國立陽明交通大學公共衛生研究所兼任教授

○ 國立臺灣師範大學數學系兼任教授

經歷

○ 中央研究院 統計科學研究所 研究員

○ 中央研究院 統計科學研究所 副研究員

○ 中央研究院 統計科學研究所 助理研究員

專長領域

○ 生物統計學、不完全資料分析、遺傳流行病學、活存分析

研究興趣

○ 生物統計學、不完全資料分析、遺傳流行病學、活存分析

著作(或研究發表) Updated in August 2021

○ 代表著作

1.  Chen, Y.-H. (1994). Classes of life distribution and renewal counting process. Journal of Applied Probability31, 1110-1115.

2.  Chen, Y.-H., and Chen, H. (1999). Incomplete covariates data in generalized linear models. Journal of Statistical Planning and Inference, 79, 247-258.

3.  Chen, Y.-H., and Chen, H. (2000). A unified approach to regression analysis under double sampling design. Journal of the Royal Statistical SocietySer B, 62, 449-460.

4.  Chen, Y.-H. (2000). A robust imputation method for surrogate outcome data. Biometrika, 87, 711-716.

5.  Chen, Y.-H. (2002). Cox regression in cohort studies with validation sampling. Journal of the Royal Statistical Society, Series B, 64, 51-62.

6.  Chen, Y.-H. and Tsai, C.-C. P. (2002). A new method for estimation of the attenuation relationship with variance components. Bulletin of the Seismological Society of America, 92, 1984-1991.

7.  Chen, Y.-H. and Wang, M. (2002). Sample size and optimal designs in stratified comparative trials to establish the equivalence of treatment effects among two ethnic groups. Journal of Biopharmaceutical Statistics, 12, 553-566.

8.  Chatterjee, N., Chen, Y.-H., and Breslow, N. E. (2003). A pseudoscore estimator for regression problems with two-phase sampling. Journal of the American Statistical Association, 98, 158-168.

9.  Chen, Y.-H. (2004). New approach to association testing in case-parent designs under informative parental missingness. Genetic Epidemiology, 27, 131-140.

10.  Chen, Y.-H. (2006). Computationally efficient Monte Carlo EM algorithms for generalized linear mixed models. Journal of Statistical Computation and Simulation, 76, 817-828.

11.  Chen, Y.-H. and Lin, H.-W. (2006). Regression analysis under two-stage sampling designs: A brief review and perspective. Journal of the Chinese Statistical Association, 44, 79-90.

12.  Wu, J.-F., Chen, C.-H., Hsieh, R.-P., Shih, H.-H., Chen, Y.-H., Li, C.-R., Chiang, C.-Y., Shau, W.-Y., Ni, Y.-H., Chen, H.-L., Hsu, H.-Y. and Chang, M.-H. (2006). HLA typing associated with hepatitis B E antigen seroconversion in children with chronic hepatitis B virus infection: a long-term prospective sibling cohort study in Taiwan. Journal of Pediatrics, 148, 647-651.

13.  Tsai, C.-C. P., Chen, Y.-H. and Liu, C.-H. (2006). The path effect in ground motion variability: an application of the variance component technique. Bulletin of the Seismological Society of America, 96, 1170-1176.

14.  Chen, Y.-H. and Kao, J.-T. (2006). Multinomial logistic regression approach to haplotype association analysis in population-based case-control studies. BMC Genetics, 7:43.

15.  Chatterjee, N. and Chen, Y.-H. (2007). Maximum likelihood inference on a mixed marginally and conditionally specified regression model for genetic epidemiologic studies with two-phase sampling. Journal of the Royal Statistical SocietySer B, 69, 123-142.

16.  Chatterjee, N. and Chen, Y.-H. (2007). A semiparametric pseudo-score method for analysis of two-phase studies with continuous phase-I covariates. Lifetime Data Analysis, 13, 607-622.

17.  Chen, Y.-H., Chatterjee, N., and Carroll, R. J. (2008). Retrospective analysis of haplotype-based case-control studies under a flexible model for gene-environment association. Biostatistics, 9, 81-99.

18.  Chen, Y.-H. and Lin, H.-W. (2008). Simple association analysis combining data from trios/sibships and unrelated controls. Genetic Epidemiology, 32, 520-527.

19.  Chen, Y.-H., Lin, H.-W, and Liu H. (2009). Two-stage analysis for gene-environment interaction utilizing both case-only and family-based analysis. Genetic Epidemiology, 33, 95-104.

20.  Chen, Y.-H., Chatterjee, N., and Carroll, R. J. (2009). Shrinkage estimators for robust and efficient inference in haplotype-based case-control studies. Journal of the American Statistical Association, 104, 220–233.

21.  Chen, Y.-H. (2009). Weighted Breslow-type estimator and maximum likelihood estimation in semiparametric transformation models, Biometrika, 96, 591-600.

22.  Chen, Y.-H., Wu, Y.-C., and Wang, M. (2009). A Bayesian approach to evaluating regional treatment effect in a multiregional trial. Journal of Biopharmaceutical Statistics, 19, 900-915.

23.  Tung, Y.-C., Chang, G.-M., and Chen, Y.-H. (2009). Associations of physician volume and weekend admissions with ischemic stroke outcome in Taiwan: a nationwide population-based study. Medical Care, 47, 1018-1025.

24.  Chen, Y.-H. and Zucker, M. D. (2009). Case-cohort analysis with semiparametric transformation models. Journal of Statistical Planning and Inference, 139, 3706-3717.

25.  Chatterjee, N., Chen, Y.-H., Luo, S., and Carroll, R. J. (2009). Analysis of case-control association studies: SNPs, imputation and haplotypes. Statistical Science, 24489-502.

26.  Lin, H.-W. and Chen, Y.-H. (2010). Association analysis under population stratification: a two-stage procedure utilizing population- and family-based Analyses. Human Heredity, 69,160-170.

27.  Chen, Y.-H. (2010). Semiparametric marginal regression analysis for dependent competing risks under an assumed copula. Journal of the Royal Statistical Society, Ser B, 72, 235-251.

28.  Wen, C.-C. and Chen, Y.-H. (2011). Nonparametric maximum likelihood analysis of clustered current status data with the gamma frailty Cox model. Computational Statistics and Data Analysis, 55, 1053-1060.

29.  Chen, Y.-H. (2012). Maximum likelihood analysis of semi-competing risks data with semiparametric regression models, Lifetime Data Analysis, 18, 36-57.

30.  Chen, Y.-H. and Wang, M. (2012). Assessing dose-region profile of drug efficacy: A multiregional trial strategy, Journal of Biopharmaceutical Statistics, 22, 894-902.

31.  Emura, T., Chen, Y.-H., Chen, H.-Y. (2012). Survival prediction based on compound covariate under Cox proportional hazard models, PloS ONE, 7, e47627.

34.  Wen, C.-C. and Chen, Y.-H. (2013). A frailty model approach for regression analysis of bivariate interval-censored survival data, Statistica Sinica, 23, 383-408.

35.  Kor, C. T., Cheng, K. F. and Chen, Y.-H. (2013). A method for analyzing clustered interval censored data based on Cox’s model, Statistics in Medicine, 32, 822-832.

36.  Wen, C.-C. and Chen, Y.-H. (2013). Assessing age-at-onset risk factors with incomplete covariate current status data under proportional odds models, Statistics in Medicine, 32, 2001-2012.

37.  Chen, Y.-H., Chatterjee, N., and Carroll, R. J. (2013).Using shared genetic controls in studies of gene-environment interactions, Biometrika, 100, 319-338.

38.  Shen, C.-W. and Chen, Y.-H. (2013). Model selection of generalized estimating equations with multiply imputed longitudinal data, Biometrical Journal, 55, 899-911.

39.  Choi, S., Huang, X., and Chen, Y.-H. (2014). A class of semiparametric transformation models for survival data with a cured proportion, Lifetime Data Analysis, 20, 369-386.

40.  Wen, C.-C. and Chen, Y.-H. (2014). A functional inference approach for interval-censored data with covariate measurement error, Statistica Sinica, 24, 1301-1307.

41.  Wen, C.-C. and Chen,Y.-H. (2014). Semiparametric analysis of incomplete current status outcome data under transformation models. Biometrics, 70, 335-345.

42.  Guo, C.-Y., Chen, Y.-J., and Chen, Y.-H. (2014). The logistic regression model for gene-environment interactions using both case-parent trios and unrelated case-controls. Annals of Human Genetics, 78, 299-305.

43.  Lu, W., Liu, M., and Chen, Y.-H. (2014). Testing goodness-of-fit for the proportional hazards model based on nested case-control data, Biometrics, 70, 845-851.

44.  Lin, H.-W. and Chen, Y.-H. (2014). Adjustment for missing confounders in studies based on observational databases: Two-stage calibration combining propensity scores from primary and validation data, American Journal of Epidemiology, 180, 308-317.

45.  Shen, C.-W. and Chen, Y.-H. (2015). Model selection for marginal regression analysis of longitudinal data with missing observations and covariate measurement error, Biostatistics, 16, 740-53.

46.  Emura, T. and Chen, Y.-H. (2016). Gene selection for survival data under dependent censoring, a copula-based approach, Statistical Methods in Medical Research, 25, 2840–2857.

47.  Hsu, M.-J. and Chen, Y.-H. (2016). Optimal linear combination of biomarkers for multi-category diagnosis, Statistics in Medicine, 35(2), 202-213.

48.  Wen, C.-C. and Chen, Y.-H. (2016). Joint analysis of current count and current status data, Journal of Multivariate Analysis, 143, 153-164.

49.  Chatterjee, N., Chen, Y.-H., Maas, P., Carroll, R. (2016). Constrained maximum likelihood estimation for model calibration using summary-level information from external big-data sources, Journal of the American Statistical Association (Discussion Paper), 111, 107-117; (Rejoinder), 130-131.

50.  Huang, C.-H. and Chen, Y.-H. (2017). Regression analysis for bivariate gap time with missing first gap time data, Lifetime Data Analysis, 23(1), 83-101.

51.  Huang, C.-H., Chen, Y.-H.,  Chuang, Y.-W. (2017). Semiparametric regression analysis of recurrent gap times in the presence of competing risks, Statistica Sinica, 27, 1059-1077.

52.  Huang, C.-H., Li, B., Chen, C.-M., Wang, W., Chen, Y.-H. (2017). Subdistribution regression for recurrent events under competing risks: with application to shunt thrombosis study in dialysis patients, Statistics in Biosciences, 9, 339-356. doi:10.1007/s12561-016-9161-0. https://doi.org/10.1007/s12561-016-9161-0.

53.  Yang, C.-C., Chen, Y.-H., Chang, H.-Y. (2017). Joint regression analysis of marginal quantile and quantile association: application to longitudinal body mass index in adolescents, Journal of the Royal Statistical Society, Ser C, 66, 1075-1090.

54.  Yen, T.-J., Yen, Y.-M., Chen, Y.-H., Hwang, J.S. (2017). Estimating network structure from time to event data, The Annals of Applied Statistics, 11, 1429-1457.

55.  Chen, Y.-H. (2017). Discussion on “Dissecting multiple imputation from a multi-phase inference perspective: what happens when God’s, imputer’s and analyst’s models are uncongenial?”, Statistica Sinica, 27, 1559.

56.  Yang, C.-C., Chen, Y.-H., Chang H.-Y. (2017). Composite marginal quantile regression analysis for longitudinal adolescent body mass index data, Statistics in Medicine, 36, 3380-3397.

57.  Lai, E.-Y., Chen, Y.-H., Wu, K.-P. (2017). A knowledge-based T^2 statistic to perform pathway analysis for quantitative proteomic data. PLOS Computational Biology, 13(6): e1005601. https://doi.org/10.1371/journal.pcbi.1005601.

58.  Shen, C.-W. and Chen, Y.-H. (2018). Joint model selection of marginal mean regression and correlation structure for longitudinal data with missing outcome and covariates. Biometrical Journal, 60, 20-33. 

59.  Shen, C.-W. and Chen, Y.-H. (2018). Model selection for semiparametric marginal mean regression accounting for within-cluster subsampling variability and informative cluster size. Biometrics, 74, 934-943. 

60.  Wen, C.-C. and Chen, Y.-H. (2018). Pseudo and conditional score approach to joint analysis of current count and current status data. Biometrics, 74, 1223-1231.

61.  Wang, J.-H. and Chen, Y.-H. (2018). Overlapping group screening for detection of gene-gene interactions: application to gene expression profiles with survival trait. BMC Bioinformatics, 19:335.

62.  Tseng, C.-H, Chen, Y.-H. (2019). Penalized approach for data missing not at random, Statistical Methods in Medical Research, 28, 134-150.

63.  Chao, S.-H. and Chen, Y.-H. (2019). A novel regression analysis method for randomly truncated strong motion data. Earthquake Spectra, 35, 977-1001.

64.  Wen, C.-C. and Chen, Y.-H. (2019). Sample size determination for semiparametric analysis of current status data. Statistical Methods in Medical Research, 28, 2247-2257.

65.  Wen, C.-C. and Chen, Y.-H. (2020). Joint analysis of panel count and interval-censored data using distribution-free frailty analysis. Biometrical Journal, accepted.

66.  Hsu, C.-Y., Chen, Y.-H., Yu, R.-R., Hung, T.-W. (2020). Assessing wage status transition and stagnation using quantile transition regression, The Annals of Applied Statistics, 14, 160-177.

67.  Wang, J.-H, and Chen, Y.-H. (2020). Interaction screening by Kendall’s partial correlation for ultrahigh-dimensional data with survival trait. Bioinformatics, 36(9), 2763-2769.

68.  Huang, C.-H., Chen, Y.-H., Wang, J.-L., Wang, M. (2020). Semiparametric copula-based analysis for treatment effects in the presence of treatment switching. Statistics in Medicine, accepted.

69.  Chen, Y.-H. and Wang, H. (2020). The association between depression and gastroesophageal reflux based on phylogenetic analysis of miRNA biomarkers. Current Medicinal Chemistry, 2020, 27, 1-12.

70.  Chen, Y.-H. and Wang, H. (2020). Exploring diversity of COVID‑19 based on substitution distance. Infection and Drug Resistance, 2020(13), 3887–3894.

71.  Wen, C-C. and Chen, Y.-H. (2020) Discrete time survival data with longitudinal covariates. Statistics in Medicine, 39, 4372-4385.

72.  Chao, S.-H, Lin, C-M., Kuo, C.-H., Huang, J.-Y., Wen, K.-L., Chen, Y.-H. (2020) Implementing horizontal-to-vertical fourier spectral ratios and spatial correlation in a ground motion prediction equation to predict site effects. Earthquake Spectra, accepted.

73.  Shen, C.-W., Chen, Y.-H., and Chen, C.-S. (2021) A distribution-free model selection criterion for anisotropic spatial correlations. Spatial Statistics, 41, 100476.

74.  Liu, T.-W, Chen, Y.-H., Guo, C.-Y. (2021) A Novel cross-validation strategy for artificial neural networks using distributed-lag environmental factors. PLoS ONE, 16(1): e0244094.

75.  Chen, Y.-H. and Wang, H. (2021). The association between migraine and depression based on miRNA biomarkers and cohort studies. Current Medicinal Chemistry, to appear.

76.  Wang, J.-H, and Chen, Y.-H. (2021) Network-adjusted Kendall’s Tau measure for feature screening with application to high-dimensional survival genomic data. Bioinformatics, to appear.

77.  Hsu, C.-Y., Wen, C.-C., Chen, Y.-H. (2021). Quantile function regression analysis for interval censored data, with application to salary survey data. Japanese Journal of Statistics and Data Science, to appear.

78.  Guo C.-Y., Huang H.-Y., Kuo, P.-C., Chen,Y.-H. (2021). Extensions of the distributed lag non-linear model (DLNM) to account for cumulative mortality. Environmental Science and Pollution Research, to appear.

79.  Wu, W.-T., Pan, C.-Y., Chang, S.-L., Chen, Y.-H., Tung, C.-J., Lin, P. (2021). Study Protocol for radiation exposure and cancer risk assessment- The Taiwan Nuclear Power Plants and Epidemiology Cohort Study (TNPECS). Journal of Epidemiology, to appear.