Optimal allocation in stratified cluster-based outcome-dependent sampling designs.
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DOI: 10.1002/sim.9016
Abstract: In public health research, finite resources often require that decisions be made at the study design stage regarding which individuals to sample for detailed data collection. At the same time, when study units are naturally… read more here.
Keywords: outcome dependent; cluster based; based outcome; allocation ... See more keywords
Practical strategies for operationalizing optimal allocation in stratified cluster‐based outcome‐dependent sampling designs
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DOI: 10.1002/sim.9650
Abstract: Cluster‐based outcome‐dependent sampling (ODS) has the potential to yield efficiency gains when the outcome of interest is relatively rare, and resource constraints allow only a certain number of clusters to be visited for data collection.… read more here.
Keywords: optimal allocation; cluster; cluster based; based outcome ... See more keywords
Machine‐learning‐based outcome prediction in stroke patients with middle cerebral artery‐M1 occlusions and early thrombectomy
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DOI: 10.1111/ene.14651
Abstract: Clinical outcomes vary substantially among individuals with large vessel occlusion (LVO) stroke. A small infarct core and large imaging mismatch were found to be associated with good recovery. The aim of this study was to… read more here.
Keywords: machine learning; outcome; outcome prediction; learning based ... See more keywords