Yimei Li

Summary

Affiliation: University of Pennsylvania
Country: USA

Publications

  1. doi request reprint Modeling smoking cessation data with alternating states and a cure fraction using frailty models
    Yimei Li
    Department of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, PA 19104 6021, USA
    Stat Med 29:627-38. 2010
  2. doi request reprint Leveraging administrative data to monitor rituximab use in 2875 patients at 42 freestanding children's hospitals across the United States
    Marko Kavcic
    Division of Oncology, Center for Pediatric Clinical Effectiveness, The Children s Hospital of Philadelphia, and Department of Pediatrics, Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania School of Medicine, Philadelphia, PA 19104, USA
    J Pediatr 162:1252-8, 1258.e1. 2013
  3. pmc Assessing the fit of parametric cure models
    E Paul Wileyto
    Department of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, PA 19104, USA
    Biostatistics 14:340-50. 2013
  4. doi request reprint Prediction of individual long-term outcomes in smoking cessation trials using frailty models
    Yimei Li
    Division of Oncology, The Children s Hospital of Philadelphia and University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
    Biometrics 67:1321-9. 2011
  5. pmc Statistical analysis of daily smoking status in smoking cessation clinical trials
    Yimei Li
    Division of Oncology, The Children s Hospital of Philadelphia and Department of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, PA 19104, USA
    Addiction 106:2039-46. 2011
  6. pmc Induction mortality and resource utilization in children treated for acute myeloid leukemia at free-standing pediatric hospitals in the United States
    Marko Kavcic
    Division of Oncology, The Children s Hospital of Philadelphia, Philadelphia, PA, USA
    Cancer 119:1916-23. 2013
  7. doi request reprint A Bayesian approach for unplanned sample sizes in phase II cancer clinical trials
    Yimei Li
    Division of Oncology, The Children s Hospital of Philadelphia, PA 19104, USA
    Clin Trials 9:293-302. 2012

Collaborators

Detail Information

Publications7

  1. doi request reprint Modeling smoking cessation data with alternating states and a cure fraction using frailty models
    Yimei Li
    Department of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, PA 19104 6021, USA
    Stat Med 29:627-38. 2010
    ..A simulation study suggests that the estimates have little bias and that their 95 per cent confidence intervals have nearly nominal coverage in samples of practical size...
  2. doi request reprint Leveraging administrative data to monitor rituximab use in 2875 patients at 42 freestanding children's hospitals across the United States
    Marko Kavcic
    Division of Oncology, Center for Pediatric Clinical Effectiveness, The Children s Hospital of Philadelphia, and Department of Pediatrics, Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania School of Medicine, Philadelphia, PA 19104, USA
    J Pediatr 162:1252-8, 1258.e1. 2013
    ..To describe the pharmacoepidemiology of rituximab use in children and to estimate the frequency of infectious events within a 1-year period after rituximab exposure...
  3. pmc Assessing the fit of parametric cure models
    E Paul Wileyto
    Department of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, PA 19104, USA
    Biostatistics 14:340-50. 2013
    ..We derive the asymptotic distribution of the residuals and evaluate their performance by simulation in a range of parametric models. We apply our approach to data from a smoking cessation drug trial...
  4. doi request reprint Prediction of individual long-term outcomes in smoking cessation trials using frailty models
    Yimei Li
    Division of Oncology, The Children s Hospital of Philadelphia and University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
    Biometrics 67:1321-9. 2011
    ..Comparisons of actual smoking status at one year with predictions from our model and from a variety of empirical methods suggest that our method gives excellent predictions...
  5. pmc Statistical analysis of daily smoking status in smoking cessation clinical trials
    Yimei Li
    Division of Oncology, The Children s Hospital of Philadelphia and Department of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, PA 19104, USA
    Addiction 106:2039-46. 2011
    ..We present an alternative approach that analyzes the entire sequence of daily smoking status observations...
  6. pmc Induction mortality and resource utilization in children treated for acute myeloid leukemia at free-standing pediatric hospitals in the United States
    Marko Kavcic
    Division of Oncology, The Children s Hospital of Philadelphia, Philadelphia, PA, USA
    Cancer 119:1916-23. 2013
    ..Moreover, these trials likely underreport the clinical toxicities experienced by patients...
  7. doi request reprint A Bayesian approach for unplanned sample sizes in phase II cancer clinical trials
    Yimei Li
    Division of Oncology, The Children s Hospital of Philadelphia, PA 19104, USA
    Clin Trials 9:293-302. 2012
    ..The requirement to examine the outcome at a prespecified sample size (SS) can be problematic, because the attained SS often differs from the planned SS...