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Missingness in the expanded prostate cancer index short form (EPIC-26) – prevalence, patterns, and explanatory factors
BackgroundResearchers and clinicians using common clinical assessments need to attend to the prevalence of missing data to ensure the validity of the...
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Missingness mechanisms and generalizability of patient reported outcome measures in colorectal cancer survivors – assessing the reasonableness of the “missing completely at random” assumption
BackgroundPatient-Reported Outcome Measures (PROM) provide important information, however, missing PROM data threaten the interpretability and...
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The effect of missing data and imputation on the detection of bias in cognitive testing using differential item functioning methods
BackgroundItem response theory (IRT) methods for addressing differential item functioning (DIF) can detect group differences in responses to...
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A comparison of methods to address item non-response when testing for differential item functioning in multidimensional patient-reported outcome measures
PurposeItem non-response (i.e., missing data) may mask the detection of differential item functioning (DIF) in patient-reported outcome measures or...
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Assessing the self-reported honesty threshold in adolescent epidemiological research: comparing supervised machine learning and inferential statistical techniques
BackgroundEpidemiological surveys offer essential data on adolescent substance use. Nevertheless, the precision of these self-report-based surveys...
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Psychometric validation of four-item exercise identity and healthy-eater identity scales and applications in weight loss maintenance
BackgroundIdentifying as someone who engages in health promoting behaviors like healthy eating and exercising may be associated with sustained...
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Construct validity of the 12-item Short Form Health Survey (SF-12) version 2 and the impact of lifestyle modifications on the health-related quality of life among Indian adults with prediabetes: results from the D-CLIP trial
PurposeThis study aimed to validate the factor structure of the 12-item Short-Form (SF-12) health-related quality of life (HRQOL) survey for Indian...
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The impact of imputation quality on machine learning classifiers for datasets with missing values
BackgroundClassifying samples in incomplete datasets is a common aim for machine learning practitioners, but is non-trivial. Missing data is found in...
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Item selection, scaling and construct validation of the Patient-Reported Inventory of Self-Management of Chronic Conditions (PRISM-CC) measurement tool in adults
PurposeTo select and scale items for the seven domains of the Patient-Reported Inventory of Self-Management of Chronic Conditions (PRISM-CC) and...
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Evaluation of survey delivery methods in a national study of Veteran’s healthcare preferences
Researchers often use survey methods to elicit patient perspectives on their healthcare. Survey results are often subject to response bias and...
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Accounting for expected attrition in the planning of cluster randomized trials for assessing treatment effect heterogeneity
BackgroundDetecting treatment effect heterogeneity is an important objective in cluster randomized trials and implementation research. While sample...
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Examining Intimate Partner Violence-Related Fatalities: Past Lessons and Future Directions Using U.S. National Data
PurposeAmong homicides in the United States, intimate partners kill almost 50% of female and 10% of male victims. Intimate partner violence (IPV)...
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PROMIS Global Health item nonresponse: is it better to impute missing item responses before computing T-scores?
PurposeItem response theory (IRT) scoring provides T -scores for physical and mental health subscales on the Patient-Reported Outcomes Measurement...
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Treatment of missing data in Bayesian network structure learning: an application to linked biomedical and social survey data
BackgroundAvailability of linked biomedical and social science data has risen dramatically in past decades, facilitating holistic and systems-based...
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Adapting and testing measures of organizational context in primary care clinics in KwaZulu-Natal, South Africa
BackgroundImplementation science frameworks situate intervention implementation and sustainment within the context of the implementing organization...
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Learning from missing data: examining nonreporting patterns of height, weight, and BMI among Canadian youth
BackgroundYouth body mass index (BMI), derived from self-reported height and weight, is commonly prone to nonreporting. A considerable proportion of...
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What difference does multiple imputation make in longitudinal modeling of EQ-5D-5L data? Empirical analyses of simulated and observed missing data patterns
PurposeAlthough multiple imputation is the state-of-the-art method for managing missing data, mixed models without multiple imputation may be equally...
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Quantifying bias due to missing data in quality of life surveys of advanced-stage cancer patients
PurposeMany studies on cancer patients investigate the impact of treatment on health-related quality of life (QoL). Typically, QoL is measured...
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Handling Missing Data in Health Economics and Outcomes Research (HEOR): A Systematic Review and Practical Recommendations
BackgroundMissing data in costs and/or health outcomes and in confounding variables can create bias in the inference of health economics and outcomes...
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Pre-statistical harmonization of behavioral instruments across eight surveys and trials
BackgroundData harmonization is a powerful method to equilibrate items in measures that evaluate the same underlying construct. There are multiple...