C Elizabeth McCarron

Summary

Affiliation: McMaster University
Country: Canada

Publications

  1. ncbi Handling uncertainty in economic evaluations of patient level data: a review of the use of Bayesian methods to inform health technology assessments
    C Elizabeth McCarron
    Department of Clinical Epidemiology and Biostatistics, McMaster University, Programs for Assessment of Technology in Health PATH Research Institute, Ontario, Canada
    Int J Technol Assess Health Care 25:546-54. 2009
  2. ncbi The importance of adjusting for potential confounders in Bayesian hierarchical models synthesising evidence from randomised and non-randomised studies: an application comparing treatments for abdominal aortic aneurysms
    C Elizabeth McCarron
    Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario, Canada
    BMC Med Res Methodol 10:64. 2010
  3. ncbi Bayesian hierarchical models combining different study types and adjusting for covariate imbalances: a simulation study to assess model performance
    C Elizabeth McCarron
    Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario, Canada
    PLoS ONE 6:e25635. 2011
  4. ncbi Impact of the 1997 Canadian guidelines on the conduct of Canadian-based economic evaluations in the published literature
    Morgan E Lim
    Programs for Assessment of Technology in Health PATH Research Institute, St Joseph s Healthcare Hamilton, Hamilton, ON, Canada
    Value Health 13:328-34. 2010

Detail Information

Publications4

  1. ncbi Handling uncertainty in economic evaluations of patient level data: a review of the use of Bayesian methods to inform health technology assessments
    C Elizabeth McCarron
    Department of Clinical Epidemiology and Biostatistics, McMaster University, Programs for Assessment of Technology in Health PATH Research Institute, Ontario, Canada
    Int J Technol Assess Health Care 25:546-54. 2009
    ..The results serve both as a reference and as a means by which to examine the appropriate application of Bayesian methods to inform decision making...
  2. ncbi The importance of adjusting for potential confounders in Bayesian hierarchical models synthesising evidence from randomised and non-randomised studies: an application comparing treatments for abdominal aortic aneurysms
    C Elizabeth McCarron
    Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario, Canada
    BMC Med Res Methodol 10:64. 2010
    ..The objective of this study was to extend a published Bayesian hierarchical model to adjust for bias due to confounding in synthesising evidence from studies with different designs...
  3. ncbi Bayesian hierarchical models combining different study types and adjusting for covariate imbalances: a simulation study to assess model performance
    C Elizabeth McCarron
    Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario, Canada
    PLoS ONE 6:e25635. 2011
    ..The objective of this study was to assess the performance of a proposed Bayesian approach to adjust for imbalances in patient level covariates when combining evidence from both types of study designs...
  4. ncbi Impact of the 1997 Canadian guidelines on the conduct of Canadian-based economic evaluations in the published literature
    Morgan E Lim
    Programs for Assessment of Technology in Health PATH Research Institute, St Joseph s Healthcare Hamilton, Hamilton, ON, Canada
    Value Health 13:328-34. 2010
    ..To assess the impact of the 1997 Canadian guidelines on the methods and presentation of economic evaluations conducted from a Canadian perspective in the published literature...