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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 6 of 6 Research Studies DisplayedGolmakani MK, Hubbard RA, Miglioretti DL
Nonhomogeneous Markov chain for estimating the cumulative risk of multiple false positive screening tests.
This study addressed the general challenge of estimating the cumulative risk of multiple false positive test results. The authors proposed a nonhomogeneous multistate model to describe the screening process including competing events and developed alternative approaches for estimating the cumulative risk of multiple false positive results using this multistate model based on existing estimators for the cumulative risk of a single false positive. The multistate model was based on existing estimators for the cumulative risk of a single false positive. They compared the performance of the newly proposed models through simulation studies and illustrated model performance using data on screening mammography from the Breast Cancer Surveillance Consortium. They found that in the context of screening mammography that the cumulative risk of multiple false positive results is high. For a high-risk individual, the cumulative probability of at least two false positive mammography results after 10 rounds of annual screening is 40.4.
AHRQ-funded; HS018366.
Citation: Golmakani MK, Hubbard RA, Miglioretti DL .
Nonhomogeneous Markov chain for estimating the cumulative risk of multiple false positive screening tests.
Biometrics 2022 Sep;78(3):1244-56. doi: 10.1111/biom.13484..
Keywords: Research Methodologies, Screening, Imaging, Cancer: Breast Cancer, Cancer
Ma X, Chen Y, Cole SR
A hybrid Bayesian hierarchical model combining cohort and case-control studies for meta-analysis of diagnostic tests: accounting for partial verification bias.
In this paper, the authors proposed a novel hybrid Bayesian hierarchical model combining cohort and case-control studies while simultaneously correcting partial verification bias. They presented two case studies on assessing the diagnostic accuracy of gadolinium-enhanced magnetic resonance imaging in detecting lymph node metastases and of adrenal fluorine-18 fluorodeoxyglucose positron emission tomography in characterizing adrenal masses.
AHRQ-funded; HS022900.
Citation: Ma X, Chen Y, Cole SR .
A hybrid Bayesian hierarchical model combining cohort and case-control studies for meta-analysis of diagnostic tests: accounting for partial verification bias.
Stat Methods Med Res 2016 Dec;25(6):3015-37. doi: 10.1177/0962280214536703.
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Keywords: Cancer, Diagnostic Safety and Quality, Imaging, Research Methodologies
Marin JR, Mills AM
Developing a research agenda to optimize diagnostic imaging in the emergency department: an executive summary of the 2015 Academic Emergency Medicine Consensus Conference.
The 2015 Academic Emergency Medicine consensus conference, "Diagnostic Imaging in the Emergency Department: A Research Agenda to Optimize Utilization" was held on May 12, 2015, with the goal of developing a high-priority research agenda on which to base future research. The authors describe the specific aims of the conference and the methods used to achieve consensus.
AHRQ-funded; HS023498.
Citation: Marin JR, Mills AM .
Developing a research agenda to optimize diagnostic imaging in the emergency department: an executive summary of the 2015 Academic Emergency Medicine Consensus Conference.
Pediatr Emerg Care 2015 Dec;31(12):876-82. doi: 10.1097/pec.0000000000000636.
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Keywords: Imaging, Emergency Department, Health Services Research (HSR), Research Methodologies
Marin JR, Mills AM
Developing a research agenda to optimize diagnostic imaging in the emergency department: an executive summary of the 2015 Academic Emergency Medicine Consensus Conference.
The 2015 Academic Emergency Medicine consensus conference, "Diagnostic Imaging in the Emergency Department: A Research Agenda to Optimize Utilization" was held on May 12, 2015, with the goal of developing a high-priority research agenda on which to base future research. The authors describe the specific aims of the conference and the methods used to achieve consensus.
AHRQ-funded; HS023498.
Citation: Marin JR, Mills AM .
Developing a research agenda to optimize diagnostic imaging in the emergency department: an executive summary of the 2015 Academic Emergency Medicine Consensus Conference.
Acad Emerg Med 2015 Dec;22(12):1363-71. doi: 10.1111/acem.12818.
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Keywords: Imaging, Emergency Department, Health Services Research (HSR), Research Methodologies
Abramson RG, Burton KR, Yu JP
Methods and challenges in quantitative imaging biomarker development.
In this article, the Association of University Radiologists Radiology Research Alliance Quantitative Imaging Task Force reviews current issues in quantitative imaging (QI) biomarker research, discusses motivations for advancing QI, defines key terms, presents a framework for QI biomarker research, and outlines challenges in QI biomarker development.
AHRQ-funded; 290201200007I.
Citation: Abramson RG, Burton KR, Yu JP .
Methods and challenges in quantitative imaging biomarker development.
Acad Radiol 2015 Jan;22(1):25-32. doi: 10.1016/j.acra.2014.09.001.
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Keywords: Imaging, Quality Improvement, Research Methodologies
Valencia V, Moghadassi M, Kriesel DR
Study of Tomography Of Nephrolithiasis Evaluation (STONE): methodology, approach and rationale.
This paper describes the rationale and methods of STONE (Study of Tomography Of Nephrolithiasis Evaluation), a pragmatic randomized comparative effectiveness trial comparing different imaging strategies for patients with suspected urolithiasis. It concluded that the detailed methodology of STONE will provide a roadmap for comparative effectiveness studies of diagnostic imaging conducted in an ED setting.
AHRQ-funded; HS019312.
Citation: Valencia V, Moghadassi M, Kriesel DR .
Study of Tomography Of Nephrolithiasis Evaluation (STONE): methodology, approach and rationale.
Contemp Clin Trials 2014 May;38(1):92-101. doi: 10.1016/j.cct.2014.03.006..
Keywords: Comparative Effectiveness, Imaging, Kidney Disease and Health, Research Methodologies