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Considerations for Subgroup Analyses in Cluster-Randomized Trials Based on Aggregated Individual-Level Predictors
In research assessing the effect of an intervention or exposure, a key secondary objective often involves assessing differential effects of this...
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Genome-wide analyses identify novel risk loci for cluster headache in Han Chinese residing in Taiwan
BackgroundCluster headache is a highly debilitating neurological disorder with considerable inter-ethnic differences. Genome-wide association studies...
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Evaluation of physical fitness and health of young children aged between 3 and 6 based on cluster and factor analyses
BackgroundAs life improves and sedentary time increases, young children's physical fitness gradually declines.
MethodsMulti-stage stratified whole...
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Are Dutch adults equally susceptible to nudging and pricing strategies? Secondary analyses of the Supreme Nudge parallel cluster-randomised controlled supermarket trial
BackgroundSupermarket interventions are promising to promote healthier dietary patterns, but not all individuals may be equally susceptible. We...
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Preventive therapy with galcanezumab for two consecutive cluster bouts in patients with episodic cluster headache: an observational multicenter study
BackgroundCluster headache is a severe and disabling primary headache disorder. Galcanezumab is a monoclonal antibody against calcitonin gene-related...
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Differential posttraumatic stress disorder symptom cluster response to stellate ganglion block: secondary analysis of a randomized controlled trial
Empirically supported treatments for posttraumatic stress disorder (PTSD) exist, but research suggests these therapies are less effective,...
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Varying severities of symptoms underline the relevance of personalized follow-up care in breast cancer survivors: latent class cluster analyses in a cross-sectional cohort
PurposeInsights into the severity of co-existing symptoms can help in identifying breast cancer survivors in need of symptom management. We aimed to...
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Cluster analysis in fibromyalgia: a systematic review
BackgroundThe multifaceted nature of Fibromyalgia syndrome (FM) symptoms has been explored through clusters analysis.
ObjectiveTo synthesize the...
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The Relationship Between Early Maladaptive Schemas and Cluster C Personality Disorder Traits: A Systematic Review and Meta-Analysis
Purpose of reviewWe systematically reviewed and meta-analyzed the literature on the relationship between early maladaptive schemas (EMSs) and Cluster...
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Cluster-Analytic Identification of Clinically Meaningful Subtypes in MCAS: The Relevance of Heat and Cold
BackgroundMast cell activation syndrome (MCAS) is a clinically heterogeneous disease with allergy-like symptoms and abdominal complaints. Its...
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Personality and gender prototypes for predicting health: a multilevel and cluster analysis
Prior studies have identified that mentally healthy people tend to share common characteristics and common ways of co** with stressful life events;...
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Clinical phenotypes of comorbidities in end-stage knee osteoarthritis: a cluster analysis
ObjectivesComorbidities, as components of these heterogeneous features, often coexist with knee osteoarthritis, and are particularly prevalent in...
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Cluster features in fibrosing interstitial lung disease and associations with prognosis
BackgroundClustering is helpful in identifying subtypes in complex fibrosing interstitial lung disease (F-ILD) and associating them with prognosis at...
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Using cluster analysis for grou** partial autosomal haplotypes derived from single sperm STR profiling
Background and objectiveThe use of single cell STR profiling for mixture deconvolution is increasingly being discussed in forensics; however, studies...
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What Does ‘High Anxiety Sensitivity’ Look Like? Using Cluster Analysis to Identify Distinct Profiles of High Anxiety Sensitive Treatment-Seekers
Background/PurposeAnxiety sensitivity (AS) is a transdiagnostic risk factor for mental health disorders. While its lower order factors – social,...
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Cluster randomised trials with a binary outcome and a small number of clusters: comparison of individual and cluster level analysis method
BackgroundCluster randomised trials (CRTs) are often designed with a small number of clusters, but it is not clear which analysis methods are optimal...
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Novel subgroups of obesity and their association with outcomes: a data-driven cluster analysis
BackgroundObesity is associated with various complications and decreased life expectancy, and substantial heterogeneity in complications and outcomes...
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Identification and validation of gestational diabetes subgroups by data-driven cluster analysis
Aims/hypothesisGestational diabetes mellitus (GDM) is a heterogeneous condition. Given such variability among patients, the ability to recognise...
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Clinical phenotypes of obstructive sleep apnea: a cluster analysis based on sleep perception and sleep quality
PurposeTo determine obstructive sleep apnea (OSA) phenotypes using cluster analysis including variables of sleep perception and sleep quality and...
