Valerie L Durkalski

Summary

Publications

  1. ncbi The virtual colonoscopy study: a large multicenter clinical trial designed to compare two diagnostic screening procedures
    Valerie L Durkalski
    TCIG STATS, The Clinical Innovation Group, MUSC Foundation for Research and Development, The Medical University of South Carolina, Charleston, SC, USA
    Control Clin Trials 23:570-83. 2002
  2. ncbi Analysis of clustered matched-pair data
    Valerie L Durkalski
    The Clinical Innovation Group TCIG, Medical University of South Carolina, Foundation for Research Development, Charleston, SC 29401, USA
    Stat Med 22:2417-28. 2003
  3. ncbi Analysis of clustered matched-pair data for a non-inferiority study design
    Valerie L Durkalski
    TCIG STATS, The Clinical Innovation Group, MUSC Foundation for Research Development, Charleston, SC, USA
    Stat Med 22:279-90. 2003
  4. ncbi Rationale and design: telephone-delivered behavioral skills interventions for Blacks with Type 2 diabetes
    Leonard E Egede
    Center for Disease Prevention and Health Interventions for Diverse Populations, Ralph H, Johnson VAMC, Charleston, SC, USA
    Trials 11:35. 2010
  5. ncbi Computed tomographic colonography (virtual colonoscopy): a multicenter comparison with standard colonoscopy for detection of colorectal neoplasia
    Peter B Cotton
    Department of Gastroenterology, The Digestive Disease Center, Medical University of South Carolina, Charleston 29425, USA
    JAMA 291:1713-9. 2004
  6. ncbi Analysis of trichotomous pharmaceutical endpoints
    Vance W Berger
    Biometry Research Group, National Cancer Institute, University of Maryland, Baltimore County, Maryland, USA
    J Biopharm Stat 15:739-45. 2005

Collaborators

Detail Information

Publications6

  1. ncbi The virtual colonoscopy study: a large multicenter clinical trial designed to compare two diagnostic screening procedures
    Valerie L Durkalski
    TCIG STATS, The Clinical Innovation Group, MUSC Foundation for Research and Development, The Medical University of South Carolina, Charleston, SC, USA
    Control Clin Trials 23:570-83. 2002
    ..Strategies for the design and implementation of the study are shared as well as the challenges encountered...
  2. ncbi Analysis of clustered matched-pair data
    Valerie L Durkalski
    The Clinical Innovation Group TCIG, Medical University of South Carolina, Foundation for Research Development, Charleston, SC 29401, USA
    Stat Med 22:2417-28. 2003
    ..Using Monte Carlo simulation, the size and power of the proposed test are compared to those of two currently available methods. To illustrate practical application, clustered matched-pair data from two clinical studies are analysed...
  3. ncbi Analysis of clustered matched-pair data for a non-inferiority study design
    Valerie L Durkalski
    TCIG STATS, The Clinical Innovation Group, MUSC Foundation for Research Development, Charleston, SC, USA
    Stat Med 22:279-90. 2003
    ..This paper proposes a Wald-type test statistic for a non-inferiority hypothesis and applies it to the comparison of two diagnostic procedures...
  4. ncbi Rationale and design: telephone-delivered behavioral skills interventions for Blacks with Type 2 diabetes
    Leonard E Egede
    Center for Disease Prevention and Health Interventions for Diverse Populations, Ralph H, Johnson VAMC, Charleston, SC, USA
    Trials 11:35. 2010
    ..This study provides a unique opportunity to address this gap in the literature...
  5. ncbi Computed tomographic colonography (virtual colonoscopy): a multicenter comparison with standard colonoscopy for detection of colorectal neoplasia
    Peter B Cotton
    Department of Gastroenterology, The Digestive Disease Center, Medical University of South Carolina, Charleston 29425, USA
    JAMA 291:1713-9. 2004
    ..Computed tomographic colonography (CTC), also known as virtual colonoscopy, has been reported to be reasonably accurate in the diagnosis of colorectal neoplasia in studies performed at expert centers...
  6. ncbi Analysis of trichotomous pharmaceutical endpoints
    Vance W Berger
    Biometry Research Group, National Cancer Institute, University of Maryland, Baltimore County, Maryland, USA
    J Biopharm Stat 15:739-45. 2005
    ..The purpose of this paper is to fill this gap by offering an objective approach for parameter selection, and to provide real data examples to illustrate the use of this objective approach...