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SurvdigitizeR: an algorithm for automated survival curve digitization
BackgroundDecision analytic models and meta-analyses often rely on survival probabilities that are digitized from published Kaplan–Meier (KM) curves....
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A compartmental model for smoking dynamics in Italy: a pipeline for inference, validation, and forecasting under hypothetical scenarios
We propose a compartmental model for investigating smoking dynamics in an Italian region (Tuscany). Calibrating the model on local data from 1993 to...
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Pediatric injuries and poisonings associated with detergent packets: results from the Canadian Hospitals Injury Reporting and Prevention Program (CHIRPP), 2011–2023
BackgroundDetergent packets are common household products; however, they pose a risk of injuries and poisonings, especially among children. This...
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An evaluation of sample size requirements for develo** risk prediction models with binary outcomes
BackgroundRisk prediction models are routinely used to assist in clinical decision making. A small sample size for model development can compromise...
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Binary classification with fuzzy logistic regression under class imbalance and complete separation in clinical studies
BackgroundIn binary classification for clinical studies, an imbalanced distribution of cases to classes and an extreme association level between the...
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Automating incidence and prevalence analysis in open cohorts
MotivationData is increasingly used for improvement and research in public health, especially administrative data such as that collected in...
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Cervical vertebral and spinal cord injuries in rollover occupants
BackgroundRollover crashes continue to be a substantial public health issue in North America. Previous research has shown that the cervical spine is...
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Accuracy of the national violent death reporting system in identifying unintentional firearm deaths to children by children
BackgroundIn assigning manner of death (MOD) for inclusion on death certificates, medical examiners and coroners do not always apply uniform...
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How does mentoring occupational therapists improve intervention fidelity in a randomised controlled trial? A realist evaluation
BackgroundIntegrating complex interventions within healthcare settings can be challenging. Mentoring can be embedded within a randomised controlled...
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Development and implementation of an injury and illness surveillance system for team USA
BackgroundThe purpose of this report is to provide insight and details regarding the development and implementation of an injury and illness...
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A bias-reduced generalized estimating equation approach for proportional odds models with small-sample longitudinal ordinal data
BackgroundLongitudinal ordinal data are commonly analyzed using a marginal proportional odds model for relating ordinal outcomes to covariates in the...
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Determining the extent and frequency of on-site monitoring: a bayesian risk-based approach
BackgroundOn-site monitoring is a crucial component of quality control in clinical trials. However, many cast doubt on its cost-effectiveness due to...
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GPT-4 performance on querying scientific publications: reproducibility, accuracy, and impact of an instruction sheet
BackgroundLarge language models (LLMs) that can efficiently screen and identify studies meeting specific criteria would streamline literature...
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Unintentional injury prevention in American Indian and Alaska Native communities: a sco** review of the Indian Health Service Primary Care Provider newsletter
BackgroundUnintentional injuries disproportionately impact American Indian and Alaska Native (AI/AN) populations. Develo** effective and culturally...
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Framework for personalized prediction of treatment response in relapsing-remitting multiple sclerosis: a replication study in independent data
BackgroundIndividualizing and optimizing treatment of relapsing-remitting multiple sclerosis patients is a challenging problem, which would benefit...
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Quantitative assessment of baseline imbalances in evolocumab and alirocumab trials: a meta-epidemiological study
BackgroundBaseline imbalances have been identified in randomized trials of evolocumab and alirocumab. Our aim was to quantitatively assess (1) the...
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Learning debiased graph representations from the OMOP common data model for synthetic data generation
BackgroundGenerating synthetic patient data is crucial for medical research, but common approaches build up on black-box models which do not allow...
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Features of databases that supported searching for rapid evidence synthesis during COVID-19: implications for future public health emergencies
BackgroundAs evidence related to the COVID-19 pandemic surged, databases, platforms, and repositories evolved with features and functions to assist...
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Develo** survey weights to ensure representativeness in a national, matched cohort study: results from the children and young people with Long Covid (CLoCk) study
BackgroundFindings from studies assessing Long Covid in children and young people (CYP) need to be assessed in light of their methodological...
