Browsing by Subject "validation studies"

Now showing 1 - 3 of 3
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    Method validation in pharmaceutical analysis: from theory to practical optimization
    (University of Minnesota, College of Pharmacy, 2015) Eserian, Jaqueline Kaleian; Lombardo, Marcia
    The validation of analytical methods is required to obtain high-quality data. For the pharmaceutical industry, method validation is crucial to ensure the product quality as regards both therapeutic efficacy and patient safety. The most critical step in validating a method is to establish a protocol containing well-defined procedures and criteria. A well planned and organized protocol, such as the one proposed in this paper, results in a rapid and concise method validation procedure for quantitative high performance liquid chromatography (HPLC) analysis.
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    Preliminary Rasch analysis of the Multidimensional Assessment of Interoceptive Awareness in adults with stroke
    (2023-11-16) Blackwood, Jena; Carpentier, Sydney; Deng, Wei; Van de Winckel, Ann; avandewi@umn.edu; Van de Winckel, Ann; Brain Body Mind Lab
    This datafile is connected to a planned manuscript submission for the journal PLOS ONE. This xls file contains brief demographic and clinical data as well as the scoring of the 32 items of the Multidimensional Assessment of Interoceptive Awareness in Adults with Chronic Stroke in the US.
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    Rasch Validation of the Revised Body Awareness Rating Questionnaire (BARQ-R) in Adults with Musculoskeletal Pain, Adults with SCI Related Neuropathic Pain, and Community Dwelling Adults in the US
    (2024-04-19) Carpentier, Sydney; Deng, Wei; Blackwood, Jena; Van de Winckel, Ann; avandewi@umn.edu; Van de Winckel, Ann; Brain Body Mind Lab
    The study aim was to establish Rasch validation of the Revised Body Awareness Rating Questionnaire (BARQ-R) in adults with musculoskeletal pain, community-dwelling adults without pain, and adults with spinal cord injury (SCI) who have neuropathic pain. The BARQ-R has 12 items with scores ranging from 0 (completely disagree) to 3 (completely agree). Through Rasch analysis, we evaluated unidimensionality through item and person fit, targeting of the population, person separation reliability (PSR), local item dependence (LID), and principal components analysis of residuals (PCAR).