Results 231 to 240 of about 2,105,065 (292)
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To (1) validate GAD65‐ELISA detection and quantification for type 1 diabetes mellitus and autoimmune neurological diagnoses, (2) correlate ELISA results (reference range < 5 IU/mL) with established radioimmunoprecipitation assay (RIA; ≤ 0.02 nmol/L), and (3) define ELISA clinical utility and pitfalls.
Andrew McKeon +11 more
wiley +1 more source
Arthritis Care &Research, Accepted Article.Objectives There is growing interest in evaluating new strategies to delay or prevent post‐traumatic osteoarthritis (PTOA) in individuals who have sustained anterior cruciate ligament (ACL) injury. This study sought to determine characteristics of potential treatments that are acceptable to patients with ACL injury.
Kevin Kennedy +9 more
wiley +1 more source
Arthritis Care &Research, EarlyView.Objective Ultrasound (US) has been proposed as a potential tool for assessing skin fibrosis in systemic sclerosis (SSc). However, a large‐scale comparison of US‐based assessment with histologic markers of skin fibrosis has not been reported. We evaluated US‐based skin assessments for their face validity (differentiation between involved SSc and healthy
Ruhani Desai +12 more
wiley +1 more source
Diffusion‐Weighted Imaging for the Evaluation of the Sacroiliac Joint in Pediatric Patients
Arthritis Care &Research, EarlyView.Objective Maturational signal in the sacroiliac joint (SIJ) of skeletally immature youth is often misinterpreted as inflammation. Diagnostic tools that improve specificity are greatly needed. Apparent diffusion coefficient (ADC) values from diffusion‐weighted imaging (DWI), when used with standard imaging, may enhance diagnostic accuracy.
Michael L. Francavilla +6 more
wiley +1 more source
Measuring Test Measurement Error [PDF]
Journal of Educational and Behavioral Statistics, 2013 Test-based accountability as well as value-added asessments and much experimental and quasi-experimental research in education rely on achievement tests to measure student skills and knowledge. Yet, we know little regarding fundamental properties of these tests, an important example being the extent of measurement error and its implications for ...
Donald Boyd +3 more
openaire +1 more source
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Statistics in Medicine, 1989
AbstractThe assessment of errors of measurement and their effects needs to take into account the structure of the data in which the errors occur. This is illustrated and the appropriate analysis of variance specified for a variety of contexts.
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AbstractThe assessment of errors of measurement and their effects needs to take into account the structure of the data in which the errors occur. This is illustrated and the appropriate analysis of variance specified for a variety of contexts.
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Toxicology and Industrial Health, 1990
Errors in exposure measures reduce the power in statistical tests in health effect studies, and also bias the estimate of the magnitude of the effect of exposure on health. Several types of error in commonly used exposure measures are described. To study how these errors in exposure measures may obscure exposure-response relationships, an imaginary ...
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Errors in exposure measures reduce the power in statistical tests in health effect studies, and also bias the estimate of the magnitude of the effect of exposure on health. Several types of error in commonly used exposure measures are described. To study how these errors in exposure measures may obscure exposure-response relationships, an imaginary ...
openaire +2 more sources
BMJ (Clinical research ed.), 1996
Abstract A certain amount of error is intrinsic to any measurement process. In the conduct of epidemiologic research, measurement error is potentially a major problem that may invalidate the results of otherwise well-designed studies. For instance, if a case-control study is undertaken to address the issue of whether past dietary fat ...
Jennifer L Kelsey +3 more
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Abstract A certain amount of error is intrinsic to any measurement process. In the conduct of epidemiologic research, measurement error is potentially a major problem that may invalidate the results of otherwise well-designed studies. For instance, if a case-control study is undertaken to address the issue of whether past dietary fat ...
Jennifer L Kelsey +3 more
openaire +4 more sources
2016
AbstractA main objective of the chapter is to demonstrate how measurement error problems which are non-tractable in cross-section data can be overcome when (balanced) panel data are available. Transformations (including differences) recommended to eliminate fixed effects, can, in measurement error situations, magnify the relative noise–signal variation.
Erik Biørn, Erik Biørn
openaire +1 more source
AbstractA main objective of the chapter is to demonstrate how measurement error problems which are non-tractable in cross-section data can be overcome when (balanced) panel data are available. Transformations (including differences) recommended to eliminate fixed effects, can, in measurement error situations, magnify the relative noise–signal variation.
Erik Biørn, Erik Biørn
openaire +1 more source