Paul Y. Peng   Ph.D

Home Research Publications Software Misc
Home Research Publications Software Misc

Some Refereed Publications

  • Peng, Y. and Taylor, J. Residual-based model diagnosis methods for mixture cure models. Biometrics, 2016. In press (DOI: 10.1111/biom.12582)
  • Booth, C., Nanji, S., Wei, X., Peng, Y., Biagi, J., Hanna, T., Krzyzanowska, M., and Mackillop, W. Adjuvant chemotherapy for stage II colon cancer: Practice patterns and effectiveness in the general population. Clinical Oncology, 29:e29-e38, 2016
  • Song, H., Peng, Y., and Tu, D. Recent development in the joint modeling of longitudinal quality of life measurements and survival data from cancer clinical trials. In Chen, D.-G. D., Chen, J., Lu, X., Yi, G., and Yu, H., editors, Advanced Statistical Methods in Big-Data Sciences, ICSA Book Series, chapter 9, pages ??-?? Springer, New York, NY, USA, 2016
  • Chandhoke, G., Wei, S., Nanji, S., Biagi, J., Peng, Y., Krzyzanowska, M., Mackillop, W., and Booth, C. Patterns of referral for adjuvant chemotherapy for stage II and III colon cancer: A population-based study. Annals of Surgical Oncology, 23:2529-2538, 2016
  • Robinson, A. G., Wei, X., Mackillop, W. J., Peng, Y., and Booth, C. M. Use of palliative chemotherapy for advanced bladder cancer: Patterns of care in routine clinical practice. Journal of the National Comprehensive Cancer Network, 14:291-298, 2016
  • Fegan, S., Bassett, E., Peng, Y., and O'Connor, K. S. Adherence with complementary feeding recommendations for infants and implications for public health. Public Health Nutrition, 19: 638-649, 2016
  • Foley, K. A., Feldman-Stewart, D., Groome, P. A., Brundage, M. D., McArdle, S., Wallace, D., Peng, Y., and Mackillop, W. What aspects of personal care are most important to patients undergoing radiotherapy for prostate cancer? International Journal of Radiation Oncology, Biology, Physics, 94:280-288, 2016
  • McInnes, M., Siemens, D. R., Mackillop, W. J., Peng, Y., Wei, S., Schieda, N., and Booth, C. M. Utilization of pre-operative imaging for muscle-invasive bladder cancer: a population- based study. BJU International, 117:430-438, 2016
  • Patafio, F. M., Brooks, S. C., Wei, X., Peng, Y., Biagi, J., and Booth, C. M. Research output and the public health burden of cancer: Is there any relationship? Current Oncology, 23:75-80, 2016
  • Booth, C. M., Nanji, S., Wei, X., Peng, Y., Biagi, J. J., Hanna, T. P., Krzyzanowska, M. K., and Mackillop, W. J. Use and effectiveness of adjuvant chemotherapy for stage III colon cancer: A population-based study. Journal of the National Comprehensive Cancer Network, 14:47-56, 2016
  • Song, H., Peng, Y., and Tu, D. Jointly modeling longitudinal proportional data and survival times with an application to quality of life data in a breast cancer trial. Lifetime Data Analysis, 2015. In press
  • Izard, J., Peng, Y., Mackillop, W. J., Wei, S., Siemens, D. R., and Booth, C. M. Outcome of squamous histology in bladder cancer: A population-based study. Urologic Oncology, 33:7-13, 2015
  • Siemens, D. R., Mackillop, W. J., Peng, Y., and Booth, C. M. Lymph node counts are valid indicators of the quality of surgical care in bladder cancer: A population-based study. Urologic Oncology, 33:15-23, 2015
  • Niu, Y. and Peng, Y. A new estimating equation approach for marginal hazard ratio estimation. Computational Statistics & Data Analysis, 87:46-56, 2015
  • Leveridge, M., Siemens, D. R., Mackillop, W. J., Peng, Y., Tannock, I. F., Berman, D. M., and Booth, C. M. Radical cystectomy and adjuvant chemotherapy for bladder cancer in the elderly: A population-based study. Urology, 85:791-798, 2015
  • Rouette, J., Blazeby, J., King, M., Calvert, M., Peng, Y., Meyer, R. M., Ringash, J., Walker, M., and Brundage, M. D. Integrating health-related quality of life findings from randomized clinical trials into oncology practice: An international study of oncologists' perspectives. Quality of Life Research, 26:1317-1325, 2015
  • Booth, C. M., Siemens, D. R., Wei, S., Peng, Y., Berman, D. M., and Mackillop, W. J. Patho- logic factors associated with survival benefit from adjuvant chemotherapy: A population-based study of bladder cancer. BJU International, 116:373-81, 2015
  • Berman, D. M., Kawashima, A., Peng, Y., Mackillop, W. J., Siemens, D. R., and Booth, C. M. Reporting trends and prognostic significance of lymphovascular invasion in muscle-invasive urothelial carcinoma: A population-based study. International Journal of Urology, 22:163-170, 2015
  • Rouette, J., Blazeby, J., King, M., Calvert, M., Peng, Y., Meyer, R. M., Ringash, J., Walker, M., and Brundage, M. D. The use of health-related quality of life outcomes in oncology practice: An international study. Journal of Clinical Oncology, 32, 2014. suppl; abstr 6524
  • Siemens, D. R., Peng, Y., Tannock, I. F., Mackillop, W. J., and Booth, C. M. Processes of care and the impact of surgical volumes on cancer-specific survival: A population-based study in bladder cancer. Urology, 84:1049-57, 2014
  • Booth, C. M., Siemens, D. R., Peng, Y., Tannock, I. F., and Mackillop, W. J. Delivery of peri-operative chemotherapy for bladder cancer in routine clinical practice. Annals of Oncology, 25: 1783-8, 2014
  • Booth, C. M., Siemens, D. R., Peng, Y., and Mackillop, W. J. Patterns of referral for perioperative chemotherapy among patients with muscle-invasive bladder cancer: A population-based study. Urologic Oncology, 32:1200-8, 2014
  • Booth, C. M., Siemens, D. R., Li, G., Peng, Y., Kong, W., Berman, D. M., Kong, W., and Mackillop, W. J. Curative therapy for bladder cancer in routine clinical practice: A population-based outcomes study. Clinical Oncology, 26:506-514, 2014
  • Booth, C. M., Siemens, D. R., Li, G., Peng, Y., Tannock, I. F., Kong, W., Berman, D. M., and Mackillop, W. J. Perioperative chemotherapy for muscle-invasive bladder cancer: A population-based outcomes study. Cancer, 120:1630-1638, 2014
  • Xu, J. and Peng, Y. Nonparametric cure rate estimation with covariates. Canadian Journal of Statistics, 42:1-17, 2014
  • Peng, Y. and Taylor, J. M. G. Cure models. In Klein, J., van Houwelingen, H., Ibrahim, J. G., and Scheike, T. H., editors, Handbook of Survival Analysis, Handbooks of Modern Statistical Methods series, chapter 6, pages 113-134. Chapman & Hall, Boca Raton, FL, USA, 2014
  • Niu, Y. and Peng, Y. Marginal regression analysis of clustered failure time data with long-term survivors. Journal of Multivariate Analysis, 123:129-142, 2014
  • Rouette, J., Blazeby, J., Calvert, M., King, M. T., Meyer, R., Peng, Y., Ringash, J., Walker, M., and Brundage, M. Clinical use of health-related quality of life outcomes from cancer clinical trials: preliminary results from a survey of oncologists. Journal of Epidemiology and Community Health, 67:A2-A3, 2013
  • Rouette, J., Walker, M., Blazeby, J., Calvert, M., King, M. T., Meyer, R., Peng, Y., Ringash, J., and Brundage, M. Use of PRO data from clinical trials to inform cancer care: an international perspective. Quality of Life Research, 22:14-14, 2013
  • Brundage, M., Rouette, J., Walker, M., Blazeby, J., Calvert, M., King, M., Peng, Y., Ringash, J., and Meyer, R. Oncologists' preferences for presentations of PRO data in randomized clinical trial (RCT) publications: a quantitative assessment. Quality of Life Research, 22:87-87, 2013
  • Rouette, J., Blazeby, J., Calvert, M., King, M. T., Meyer, R., Peng, Y., Ringash, J., Walker, M., and Brundage, M. Evaluation of the CONSORT extension recommendations for PRO reporting in clinical trials: an international survey of oncologists. Quality of Life Research, 22:117-118, 2013
  • Wang, K., Hu, X., and Peng, Y. An analytical comparison of the principal component method and the mixed effects model for association studies in the presence of cryptic relatedness and population stratification. Human Heredity, 76:1-9, 2013
  • Kankesan, J., Shepherd, F. A., Peng, Y., Darling, G., Li, G., Kong, W., Mackillop, W., and C.M. Booth, M. Factors associated with referral to medical oncology and subsequent use of adjuvant chemotherapy for non-small-cell lung cancer: a population-based study. Current Oncology, 20:30-37, 2013
  • Xu, J., Chen, Y., Li, W., Peng, Y., Yang, Y., Song, C., Wei, C., and Hong, Y. Combining BPANN and wavelet analysis to simulate hydro-climatic processes - a case study of the Kaidu river, north-west China. Frontiers of Earth Science, 7:227-237, 2013
  • Brundage, M., Danielson, B., Pearcey, R., Bass, B., Pickles, T., Bahary, J.-P., Peng, Y., Wallace, D., and Mackillop, W. A criterion-based audit of the technical quality of external beam radiotherapy for prostate cancer. Radiotherapy and Oncology, 107:339-345, 2013
  • Booth, C. M., Shepherd, F. A., Peng, Y., Darling, G., Li, G., Kong, W., Biagi, J. J., and Mackillop, W. J. Time to adjuvant chemotherapy and survival in non-small cell lung cancer: A population-based study. Cancer, 119:1243-1250, 2013
  • Zhang, J., Peng, Y., and Li, H. A new semiparametric estimation method for accelerated hazards mixture cure model. Computational Statistics & Data Analysis, 59:95-102, 2013
  • Niu, Y. and Peng, Y. A semiparametric marginal mixture cure model for clustered survival data. Statistics in Medicine, 30:2364-73, 2013
  • Booth, C. M., Siemens, D. R., Li, G., Peng, Y., Tannock, I. F., Berman, D. M., Kong, W., and Mackillop, W. J. Neoadjuvant (NACT) and adjuvant chemotherapy (ACT) for muscle-invasive bladder cancer: a population-based outcomes study. Annals of Oncology, 23:260-260, 2013
  • Hanna, T. P., Richardson, H., Peng, Y., Kong, W., Zhang-Salomons, J., and Mackillop, W. J. A population-based study of factors affecting the use of radiotherapy for endometrial cancer. Clinical Oncology, 24:e113-124, 2012
  • Cai, C., Zou, Y., Peng, Y., and Zhang, J. SMCURE: An R-package for estimating semiparametric mixture cure models. Computer Methods and Programs in Biomedicine, 108:1255-1260, 2012
  • Song, H., Peng, Y., and Tu, D. A new approach for joint modeling of longitudinal measurements and survival times with a cure fraction. Canadian Journal of Statistics, 40:207-224, 2012
  • Liu, X., Peng, Y., Tu, D., and Liang, H. Variable selection in semiparametric cure models based on penalized likelihood, with application to breast cancer clinical trials. Statistics in Medicine, 31:2882-2891, 2012
  • Zhang, J. and Peng, Y. Semiparametric estimation methods for the accelerated failure time mixture cure model. Journal of the Korean Statistical Society, 41:415-422, 2012
  • Peng, Y. and Xu, J. An extended cure model and model selection. Lifetime Data Analysis, 18: 215-233, 2012
  • Cuffe, S., Booth, C. M., Peng, Y., Darling, G. E., Li, G., Kong, W., Mackillop, W. J., and Shepherd, F. A. Adjuvant chemotherapy for non-small cell lung cancer in the elderly: A population-based study in Ontario, Canada. Journal of Clinical Oncology, 30:1813-1821, 2012
  • Booth, C. M., Shepherd, F. A., Peng, Y., Darling, G., Li, G., Kong, W., and Mackillop, W. J. Adjuvant chemotherapy for non-small cell lung cancer: Practice patterns and outcomes in the general population of Ontario, Canada. Journal of Thoracic Oncology, 7:559-566, 2012
  • Narasimhan, G. R., Crowe, T., Peng, Y., Hage, L., Dosman, J., and Pickett, W. A task-based analysis of machinery entanglement injuries among western Canadian farmers. Journal of Agromedicine, 16:261-270, 2011
  • Zhang, J., Peng, Y., and Zhao, O. A new semiparametric estimation method for accelerated hazard model. Biometrics, 67:1352-1360, 2011
  • Peng, Y. and Taylor, J. M. G. Mixture cure model with random effects for the analysis of a multi-centre tonsil cancer study. Statistics in Medicine, 30:211-223, 2011
  • Sun, X., Peng, Y., and Tu, D. Phase II cancer clinical trials with one-sample log-rank test and its improvements based on Edgeworth expansion. Contemporary Clinical Trials, 32:108-113, 2010
  • Booth, C. M., Shepherd, F. A., Peng, Y., Darling, G., Li, G., Kong, W., and Mackillop, W. J. Adoption of adjuvant chemotherapy for non-small cell lung cancer: A population-based outcomes study. Journal of Clinical Oncology, 28:3472-3478, 2010
  • Narasimhan, G. R., Peng, Y., Crowe, T. G., Hage, L., Dosman, J., and Pickett, W. Operational safety practices as determinants of machinery-related injury on Saskatchewan farms. Accident Analysis and Prevention, 42:1226-1231, 2010
  • Zhang, J. and Peng, Y. Accelerated hazards mixture cure model. Lifetime Data Analysis, 15: 455-467, 2009
  • Zhang, J. and Peng, Y. Crossing hazard functions in common survival models. Statistics & Probability Letters, 79:2124-2130, 2009
  • Gupta, S., Kong, W., Peng, Y., Miao, Q., and Mackillop, W. Temporal trends in incidence and survival for cancers of the upper aerodigestive tract in Ontario and the United States. International Journal of Cancer, 125:2159-2165, 2009
  • Peng, Y. and Zhang, J. Identifiability of mixture cure frailty model. Statistics & Probability Letters, 78:2604-2608, 2008
  • Peng, Y. and Zhang, J. Estimation method of the semiparametric mixture cure gamma frailty model. Statistics in Medicine, 27:5177-5194, 2008
  • Rahgozar, M., Faghihzadeh, S., Rouchi, G. B., and Peng, Y. Power of testing semi-parametric shared gamma frailty parameter in failure time data. Statistics in Medicine, 27:4328-4339, 2008
  • Yu, B. and Peng, Y. Mixture cure models for multivariate survival data. Computational Statistics & Data Analysis, 52:1524-1532, 2008
  • Peng, Y., Taylor, J. M. G., and Yu, B. A marginal regression model for multivariate failure time data with a surviving fraction. Lifetime Data Analysis, 13:351-369, 2007
  • Zhang, J. and Peng, Y. An alternative estimation method for the accelerated failure time frailty model. Computational Statistics & Data Analysis, 51:4413-4423, 2007
  • Zhang, J. and Peng, Y. A new estimation method for the semiparametric accelerated failure time mixture cure model. Statistics in Medicine, 26:3157-3171, 2007
  • Kalist, D. E. and Peng, Y. Does education matter? major league baseball players and longevity. Death Studies, 31:653-670, 2007
  • Wang, K. and Peng, Y. Quantitative-trait-loci mapping in the presence of locus heterogeneity. Annals of Human Genetics, 70:882-892, 2006
  • Balakrishnan, N. and Peng, Y. Generalized gamma frailty model. Statistics in Medicine, 25: 2797-2816, 2006
  • Goodman, A., Peng, Y., Hankin, J., Kalist, D., and Spurr, S. Estimating episode lengths when some observations are probably censored: an application to substance abuse treatment. Statistics in Medicine, 23:2071-2087, 2004
  • Peng, Y. and Dear, K. B. G. An increasing hazard cure model. In Balakrishnan, N. and Rao, C. R., editors, Advances in Survival Analysis, volume 23 of Handbook of Statistics, chapter 31, pages 545-557. Elsevier, North-Holland, 2004
  • Wang, K. and Peng, Y. Linkage analysis of systolic blood pressure: A score statistic and computer implementation. BMC Genetics, 4(Suppl 1):S77, 2003
  • Peng, Y. Estimating baseline distribution in proportional hazards cure models. Computational Statistics & Data Analysis, 42:187-201, 2003
  • Peng, Y. Fitting semiparametric cure models. Computational Statistics & Data Analysis, 41: 481-490, 2003
  • Peng, Y. and Carriere, K. C. An empirical comparison of parametric and semiparametric cure models. Biometrical Journal, 44:1002-1014, 2002
  • Peng, Y., Dear, K. B. G., and Carriere, K. C. Testing for the presence of cured patients: a simulation study. Statistics in Medicine, 20:1783-1796, 2001
  • Goodman, A. C., Hankin, J. R., Kalist, D. E., Peng, Y., and Spurr, S. J. Estimating determinants of multiple treatment episodes for substance abusers. Journal of Mental Health Policy and Economics, 4:65-77, 2001
  • Peng, Y. and Dear, K. B. G. A nonparametric mixture model for cure rate estimation. Biometrics, 56:237-243, 2000
  • Peng, Y., Dear, K. B. G., and Denham, J. W. A generalized F mixture model for cure rate estimation. Statistics in Medicine, 17:813-830, 1998