Minjung Lee

Summary

Affiliation: National Institutes of Health
Country: USA

Publications

  1. doi request reprint Predicting the absolute risk of dying from colorectal cancer and from other causes using population-based cancer registry data
    Minjung Lee
    Data Analysis and Interpretation Branch, Division of Cancer Control and Population Studies, National Cancer Institute, Bethesda, MD 20852, USA
    Stat Med 31:489-500. 2012
  2. doi request reprint Inference for cumulative incidence quantiles via parametric and nonparametric approaches
    Minjung Lee
    Department of Statistics, University of Wisconsin, Madison, WI 53706, USA
    Stat Med 30:3221-35. 2011
  3. doi request reprint Multiple imputation methods for inference on cumulative incidence with missing cause of failure
    Minjung Lee
    Data Analysis and Interpretation Branch, Division of Cancer Control and Population Studies, National Cancer Institute, Bethesda, MD 20852, USA
    Biom J 53:974-93. 2011
  4. doi request reprint The Cancer Survival Query System: making survival estimates from the Surveillance, Epidemiology, and End Results program more timely and relevant for recently diagnosed patients
    Eric J Feuer
    Surveillance Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland, USA
    Cancer 118:5652-62. 2012

Collaborators

Detail Information

Publications4

  1. doi request reprint Predicting the absolute risk of dying from colorectal cancer and from other causes using population-based cancer registry data
    Minjung Lee
    Data Analysis and Interpretation Branch, Division of Cancer Control and Population Studies, National Cancer Institute, Bethesda, MD 20852, USA
    Stat Med 31:489-500. 2012
    ..We illustrate these approaches with colorectal cancer and evaluate the model discriminatory and calibration accuracy by time-dependent area under the receiver operating characteristic curve and calibration plot...
  2. doi request reprint Inference for cumulative incidence quantiles via parametric and nonparametric approaches
    Minjung Lee
    Department of Statistics, University of Wisconsin, Madison, WI 53706, USA
    Stat Med 30:3221-35. 2011
    ..Simulation studies show that the procedures perform well, with parametric analyses yielding smaller mean square error when the model is not too badly misspecified. We illustrate the methods with data from a breast cancer clinical trial...
  3. doi request reprint Multiple imputation methods for inference on cumulative incidence with missing cause of failure
    Minjung Lee
    Data Analysis and Interpretation Branch, Division of Cancer Control and Population Studies, National Cancer Institute, Bethesda, MD 20852, USA
    Biom J 53:974-93. 2011
    ..The methods are illustrated with data on survival after breast cancer, obtained from the National Surgical Adjuvant Breast and Bowel Project (NSABP)...
  4. doi request reprint The Cancer Survival Query System: making survival estimates from the Surveillance, Epidemiology, and End Results program more timely and relevant for recently diagnosed patients
    Eric J Feuer
    Surveillance Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland, USA
    Cancer 118:5652-62. 2012
    ..However, registry data also can be used to calculate survival from cancer in the presence of competing risks, which is more clinically relevant...