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An Assessment of the Utility of a Bayesian Framework to Improve Response Propensity Models in Longitudinal Data
Published 2024-12-01“…This paper explores whether the use of a Bayesian framework can improve the predictions of response propensity models in longitudinal data. In the Bayesian approach existing knowledge regarding model parameters is used to specify prior distributions. …”
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Progression of Heart Failure in People with Type 2 Diabetes in Germany: An Analysis Using German Health Insurance Claims Data
Published 2024-08-01“…**Methods:** This descriptive, retrospective study used longitudinal data from German statutory health insurance claims. …”
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Relationship between movement behaviours and life satisfaction in Chinese children: A cross-lagged panel analysis.
Published 2025-01-01“…This study examined the relationship between movement behaviours and life satisfaction (LS) using longitudinal data from a sample of primary school students. …”
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Creating National Weights for a Patient-level Longitudinal Database
Published 2016-03-01“…**Objective:** To create a nationally-representative estimate from longitudinal data by controlling for sociodemographic factors and health status. …”
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Prediction of Multidimensional Poverty Status With Machine Learning Classification at Household Level: Empirical Evidence From Tanzania
Published 2025-01-01“…To achieve this objective, longitudinal data from the 2014/15 and 2020/21 surveys, sourced from the Tanzania National Bureau of Statistics (NBS) were analyzed. …”
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MRI-based hip cartilage measures in osteoarthritic and non-osteoarthritic individuals: a systematic review
Published 2017-03-01“…Overall, the studies consistently demonstrate the reliability and potential clinical utility of MRI-based estimates. However, no longitudinal data or reference values for hip cartilage thickness or volume have been published, limiting the ability of MRI to define or risk-stratify hip osteoarthritis. …”
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Information quality and students’ academic performance: the mediating roles of perceived usefulness, entertainment and social media usage
Published 2024-10-01“…Therefore, the results of the investigation cannot be generalized as a whole, and cannot track respondents’ social media activity over time. Thus, longitudinal data may be used in future investigations. …”
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Continuing exposure to disadvantageous material and perceived economic factors on self-rated health in different life stages: fixed effects analyses with data from the German Socio...
Published 2025-02-01“…Methods All analyses are based on longitudinal data from the German Socio-Economic Panel (SOEP) from 1994 to 2017. …”
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Dynamics of perceived threat and media exposure during the COVID-19 pandemic
Published 2025-06-01“…In this study, we used longitudinal data from 3189 primarily North American participants, collected monthly from June 2020 through January 2021 to examine reciprocal associations among media exposure, COVID-19 thought frequency, and perceived threat of COVID-19 at the within-person level of analysis. …”
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Association between exposure in the cement production industry and non-malignant respiratory effects: a systematic review
Published 2017-04-01“…Hence, no firm conclusions can be drawn. There are few longitudinal data, but recent studies report a dose–response relationship between cement production dust exposure and declining lung function indicating a causal relationship, and underlining the need to reduce exposure among workers in this industry.…”
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Nurture-U student mental health longitudinal survey: a study protocol
Published 2025-02-01“…This study aims to address gaps in longitudinal data on student mental health in the UK and to identify risk and protective factors across diverse student populations.Methods and analysis The current Nurture-U survey is developed from the U-Flourish biannual survey study piloted at Queen’s and Oxford universities in Canada and the UK, respectively. …”
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Evaluation of the effectiveness of the Iran-package of essential non-communicable disease (IraPEN) program in reducing cardiovascular disease risk in pilot areas
Published 2025-02-01“…Methods A secondary data analysis of longitudinal data collected between 2016 and 2017 from health centers in four pilot areas. …”
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Heightened demand for mental health information resources during the SARS-CoV-2 pandemic in Germany: A retrospective longitudinal analysis of helpline calls
Published 2025-04-01“…Methods: Based on longitudinal data from 2018 to 2022 predictive models were developed for caller trends on the Info-Telefon Depression. …”
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Environmental risk factors for self-harm during imprisonment: A pilot prospective cohort study.
Published 2025-01-01“…<h4>Discussion</h4>This exploratory pilot study provides prospective longitudinal data regarding relationships between prison environmental factors and self-harm behaviour. …”
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Comparison of time-to-event machine learning models in predicting biliary complication and mortality rate in liver transplant patients
Published 2025-02-01“…Abstract Post-Liver transplantation (LT) survival rates stagnate, with biliary complications (BC) as a major cause of death. We analyzed longitudinal data with a median 19-month follow-up. BC was diagnosed with ultrasounds and MRCP. …”
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Health Implications of Anabolic-Androgenic Steroids: Usage, Risks, and Treatment Approaches - The Literature Review
Published 2025-02-01“…Furthermore, the review highlights significant gaps in the literature, such as the absence of comprehensive guidelines for harm reduction and the scarcity of longitudinal data on the long-term effects of AAS. The findings suggest a critical need for continued research, better medical management, and societal interventions to mitigate the risks associated with AAS use and provide effective care for affected individuals. …”
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A novel model-based meta-analysis to indirectly estimate the comparative efficacy of two medications: an example using DPP-4 inhibitors, sitagliptin and linagliptin, in treatment o...
Published 2013-03-01“…For the indirect comparison, a population of 1000 patients was simulated from the model with a racial composition reflecting the average racial distribution of the linagliptin trials, and baseline HbA1c of 8%.Results The model was developed using longitudinal data from 11 234 patients (10 linagliptin, 15 sitagliptin trials), and assessed by internal evaluation techniques, demonstrating that the model adequately described the observations. …”
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High risk for life-threatening adverse events of fluoroquinolones in young adults: a large German population-based cohort study
Published 2025-02-01“…Population-based longitudinal data from one of the largest German statutory health insurances were used. …”
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Path model explaining the association between fear of falling and health-related quality of life in (pre-)frail older adults
Published 2025-02-01“…The proposed model should be tested on an alternative sample, using longitudinal data, and extended to include additional explanatory factors (e.g. activity avoidance). …”
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