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PROMIS measures of pain, fatigue, negative affect, physical function, and social function demonstrated clinical validity across a range of chronic conditions

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TLDR
The current body of clinical validity evidence for the nine PROMIS measures indicates the success of NIHPROMIS in developing measures that are effective across a range of chronic conditions.
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This article is published in Journal of Clinical Epidemiology.The article was published on 2016-05-01 and is currently open access. It has received 280 citations till now.

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Clinical validity of PROMIS Depression, Anxiety, and Anger across diverse clinical samples

TL;DR: Evidence is provided that the PROMIS negative affect scores are sensitive to change in intervention studies in which negative affect is expected to change and this results inform the estimation of meaningful change and enable comparative effectiveness research.
Journal ArticleDOI

Validity of PROMIS physical function measured in diverse clinical samples.

TL;DR: Evidence is provided that the PROMIS Physical Function measures are sensitive to change in intervention studies where physical function is expected to change and able to distinguish among different clinical samples.
Journal ArticleDOI

PROMIS Fatigue Item Bank had Clinical Validity across Diverse Chronic Conditions.

TL;DR: The results support the PROMIS fatigue measures's responsiveness to change in six different chronic conditions and support the ability of the PRomis fatigue measures to compare differences in fatigue across a range of chronic conditions, thereby enabling comparative effectiveness research.
References
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Book

Statistical Power Analysis for the Behavioral Sciences

TL;DR: The concepts of power analysis are discussed in this paper, where Chi-square Tests for Goodness of Fit and Contingency Tables, t-Test for Means, and Sign Test are used.
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The CES-D Scale: A Self-Report Depression Scale for Research in the General Population

TL;DR: The CES-D scale as discussed by the authors is a short self-report scale designed to measure depressive symptomatology in the general population, which has been used in household interview surveys and in psychiatric settings.
Book

Statistical Analysis with Missing Data

TL;DR: This work states that maximum Likelihood for General Patterns of Missing Data: Introduction and Theory with Ignorable Nonresponse and large-Sample Inference Based on Maximum Likelihood Estimates is likely to be high.
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