Brandy M Ringham

Summary

Affiliation: University of Colorado Denver
Country: USA

Publications

  1. pmc Estimates of sensitivity and specificity can be biased when reporting the results of the second test in a screening trial conducted in series
    Brandy M Ringham
    Department of Biostatistics, Colorado School of Public Health, University of Colorado, Denver, Aurora, CO, USA
    BMC Med Res Methodol 10:3. 2010
  2. pmc Multivariate test power approximations for balanced linear mixed models in studies with missing data
    Brandy M Ringham
    Department of Biostatistics and Informatics, University of Colorado Denver, Aurora, CO, U S A
    Stat Med 35:2921-37. 2016
  3. pmc An internal pilot design for prospective cancer screening trials with unknown disease prevalence
    John T Brinton
    Denver Health Medical Center, 777 Bannock St, MC 6551, Denver, Colorado, 80204, USA
    Trials 16:458. 2015
  4. pmc Bias in trials comparing paired continuous tests can cause researchers to choose the wrong screening modality
    Deborah H Glueck
    Department of Biostatistics, Colorado School of Public Health, University of Colorado, Denver, Aurora, CO, USA
    BMC Med Res Methodol 9:4. 2009
  5. pmc Dual-energy X-ray absorptiometry modeling to explain the increased resting energy expenditure associated with the HIV lipoatrophy syndrome
    Lisa A Kosmiski
    Departments of Medicine and Biostatistics and Informatics, Colorado School of Public Health, University of Colorado, Denver, Denver, CO, USA
    Am J Clin Nutr 90:1525-31. 2009

Collaborators

Detail Information

Publications5

  1. pmc Estimates of sensitivity and specificity can be biased when reporting the results of the second test in a screening trial conducted in series
    Brandy M Ringham
    Department of Biostatistics, Colorado School of Public Health, University of Colorado, Denver, Aurora, CO, USA
    BMC Med Res Methodol 10:3. 2010
    ..The problem is further complicated when some cases are misclassified as non-cases due to incomplete disease status ascertainment...
  2. pmc Multivariate test power approximations for balanced linear mixed models in studies with missing data
    Brandy M Ringham
    Department of Biostatistics and Informatics, University of Colorado Denver, Aurora, CO, U S A
    Stat Med 35:2921-37. 2016
    ..We describe how to implement the method using standard, commercially available software products and give example code. Copyright © 2015 John Wiley & Sons, Ltd. ..
  3. pmc An internal pilot design for prospective cancer screening trials with unknown disease prevalence
    John T Brinton
    Denver Health Medical Center, 777 Bannock St, MC 6551, Denver, Colorado, 80204, USA
    Trials 16:458. 2015
    ..Both parameters may be unknown during the design stage, which makes finding an accurate sample size difficult...
  4. pmc Bias in trials comparing paired continuous tests can cause researchers to choose the wrong screening modality
    Deborah H Glueck
    Department of Biostatistics, Colorado School of Public Health, University of Colorado, Denver, Aurora, CO, USA
    BMC Med Res Methodol 9:4. 2009
    ..When only suspicious screening test scores trigger a sensitive and specific secondary test, the result is a form of partial verification bias...
  5. pmc Dual-energy X-ray absorptiometry modeling to explain the increased resting energy expenditure associated with the HIV lipoatrophy syndrome
    Lisa A Kosmiski
    Departments of Medicine and Biostatistics and Informatics, Colorado School of Public Health, University of Colorado, Denver, Denver, CO, USA
    Am J Clin Nutr 90:1525-31. 2009
    ....