David Madigan

Summary

Affiliation: Columbia University
Country: USA

Publications

  1. pmc Evaluating the impact of database heterogeneity on observational study results
    David Madigan
    Department of Statistics, Columbia University, 1255 Amsterdam Avenue, New York, NY 10027, USA
    Am J Epidemiol 178:645-51. 2013
  2. doi request reprint Empirical performance of the case-control method: lessons for developing a risk identification and analysis system
    David Madigan
    Department of Statistics, Columbia University, 1255 Amsterdam Avenue, New York, NY, 10027, USA
    Drug Saf 36:S73-82. 2013
  3. doi request reprint Under-reporting of cardiovascular events in the rofecoxib Alzheimer disease studies
    David Madigan
    Department of Statistics, Columbia University, 1255 Amsterdam Avenue, New York, NY 10027, USA
    Am Heart J 164:186-93. 2012
  4. ncbi request reprint Multiple self-controlled case series for large-scale longitudinal observational databases
    Shawn E Simpson
    Department of Statistics, Columbia University, New York, New York, U S A
    Biometrics 69:893-902. 2013
  5. pmc Pooled analysis of rofecoxib placebo-controlled clinical trial data: lessons for postmarket pharmaceutical safety surveillance
    Joseph S Ross
    Department of Geriatrics and Palliative Medicine, Mount Sinai School of Medicine, One Gustave L Levy Place, Box 1070, New York, NY 10029, USA
    Arch Intern Med 169:1976-85. 2009
  6. pmc High-dimensional, massive sample-size Cox proportional hazards regression for survival analysis
    Sushil Mittal
    Department of Statistics, Columbia University, New York, NY 10027, USA
    Biostatistics 15:207-21. 2014

Detail Information

Publications6

  1. pmc Evaluating the impact of database heterogeneity on observational study results
    David Madigan
    Department of Statistics, Columbia University, 1255 Amsterdam Avenue, New York, NY 10027, USA
    Am J Epidemiol 178:645-51. 2013
    ..Our findings show that clinical studies that use observational databases can be sensitive to the choice of database. More attention is needed to consider how the choice of data source may be affecting results. ..
  2. doi request reprint Empirical performance of the case-control method: lessons for developing a risk identification and analysis system
    David Madigan
    Department of Statistics, Columbia University, 1255 Amsterdam Avenue, New York, NY, 10027, USA
    Drug Saf 36:S73-82. 2013
    ..In this context, analysts utilize a variety of statistical and epidemiological approaches such as case-control, cohort, and self-controlled methods. The operating characteristics of these methods are poorly understood...
  3. doi request reprint Under-reporting of cardiovascular events in the rofecoxib Alzheimer disease studies
    David Madigan
    Department of Statistics, Columbia University, 1255 Amsterdam Avenue, New York, NY 10027, USA
    Am Heart J 164:186-93. 2012
    ..We studied contemporaneously adjudicated CVT events to assess the information on cardiovascular risk available while the drug was in widespread use...
  4. ncbi request reprint Multiple self-controlled case series for large-scale longitudinal observational databases
    Shawn E Simpson
    Department of Statistics, Columbia University, New York, New York, U S A
    Biometrics 69:893-902. 2013
    ..We present details of the model and the associated optimization procedure, as well as results of empirical investigations...
  5. pmc Pooled analysis of rofecoxib placebo-controlled clinical trial data: lessons for postmarket pharmaceutical safety surveillance
    Joseph S Ross
    Department of Geriatrics and Palliative Medicine, Mount Sinai School of Medicine, One Gustave L Levy Place, Box 1070, New York, NY 10029, USA
    Arch Intern Med 169:1976-85. 2009
    ....
  6. pmc High-dimensional, massive sample-size Cox proportional hazards regression for survival analysis
    Sushil Mittal
    Department of Statistics, Columbia University, New York, NY 10027, USA
    Biostatistics 15:207-21. 2014
    ..Experiments on two real data examples demonstrate that efficient analyses of HDMSS data using these tools result in improved predictive performance and calibration. ..