Xiaochun Li

Summary

Affiliation: Indiana University
Country: USA

Publications

  1. doi request reprint Statistical visualization for assessing performance of methods for safety surveillance using electronic databases
    Xiaochun Li
    Division of Biostatistics, Indiana University School of Medicine, Indianapolis, IN 46202, USA
    Pharmacoepidemiol Drug Saf 22:503-9. 2013
  2. ncbi request reprint Linkage of patient records from disparate sources
    Xiaochun Li
    Division of Biostatistics, Indiana University School of Medicine, Indianapolis, USA
    Stat Methods Med Res 22:31-8. 2013
  3. ncbi request reprint Inverse probability weighting for covariate adjustment in randomized studies
    Changyu Shen
    Department of Biostatistics, School of Medicine, Fairbanks School of Public Health, Indiana University, Indianapolis, IN 46202, U S A
    Stat Med 33:555-68. 2014
  4. doi request reprint Consistency in the safety labeling of bioequivalent medications
    Jon Duke
    Regenstrief Institute, Indianapolis, IN 46202, USA
    Pharmacoepidemiol Drug Saf 22:294-301. 2013
  5. pmc Adherence to drug-drug interaction alerts in high-risk patients: a trial of context-enhanced alerting
    Jon D Duke
    Department of Medical Informatics, Regenstrief Institute, Indianapolis, IN 46202, USA
    J Am Med Inform Assoc 20:494-8. 2013
  6. pmc Treatment benefit and treatment harm rate to characterize heterogeneity in treatment effect
    Changyu Shen
    Department of Biostatistics, Indiana University School of Medicine, Indianapolis, Indiana 46202, U S A
    Biometrics 69:724-31. 2013
  7. pmc Sensitivity analysis for causal inference using inverse probability weighting
    Changyu Shen
    Division of Biostatistics, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA
    Biom J 53:822-37. 2011

Detail Information

Publications7

  1. doi request reprint Statistical visualization for assessing performance of methods for safety surveillance using electronic databases
    Xiaochun Li
    Division of Biostatistics, Indiana University School of Medicine, Indianapolis, IN 46202, USA
    Pharmacoepidemiol Drug Saf 22:503-9. 2013
    ..Our objective was to develop a visualization tool to explore which parameter settings may enable better predictive properties for a given method in a database...
  2. ncbi request reprint Linkage of patient records from disparate sources
    Xiaochun Li
    Division of Biostatistics, Indiana University School of Medicine, Indianapolis, USA
    Stat Methods Med Res 22:31-8. 2013
    ..However, the recent availability of generators of synthetic data with realistic characteristics renders such evaluations feasible...
  3. ncbi request reprint Inverse probability weighting for covariate adjustment in randomized studies
    Changyu Shen
    Department of Biostatistics, School of Medicine, Fairbanks School of Public Health, Indiana University, Indianapolis, IN 46202, U S A
    Stat Med 33:555-68. 2014
    ..Both theoretical and numerical properties of the estimation procedure are presented. Application of the proposed method to a real data example is presented...
  4. doi request reprint Consistency in the safety labeling of bioequivalent medications
    Jon Duke
    Regenstrief Institute, Indianapolis, IN 46202, USA
    Pharmacoepidemiol Drug Saf 22:294-301. 2013
    ..This requirement has both clinical and legal importance, yet has never been validated. We sought to determine the real-world consistency of electronic labeling for bioequivalent drugs from different manufacturers...
  5. pmc Adherence to drug-drug interaction alerts in high-risk patients: a trial of context-enhanced alerting
    Jon D Duke
    Department of Medical Informatics, Regenstrief Institute, Indianapolis, IN 46202, USA
    J Am Med Inform Assoc 20:494-8. 2013
    ..We previously described a model for highlighting patients at high risk of a DDI by enhancing alerts with relevant laboratory data. We sought to evaluate the effect of this model on alert adherence in high-risk patients...
  6. pmc Treatment benefit and treatment harm rate to characterize heterogeneity in treatment effect
    Changyu Shen
    Department of Biostatistics, Indiana University School of Medicine, Indianapolis, Indiana 46202, U S A
    Biometrics 69:724-31. 2013
    ..A simulation study is presented to assess the performance of the proposed method. ..
  7. pmc Sensitivity analysis for causal inference using inverse probability weighting
    Changyu Shen
    Division of Biostatistics, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA
    Biom J 53:822-37. 2011
    ..We illustrate our method with two medical data sets...