Background: There are many applications for spatial cluster detection and more detection methods have been proposed in recent years. Most cluster detection methods are efficient in detecting circular (or circular-like) clusters, but the methods which can detect irregular-shaped clusters usually require a lot of computing time.
Methods: We propose a new spatial detection algorithm for lattice data. The proposed method can be separated into two stages: the first stage determines the significant cells with unusual occurrences (i.e., individual clustering) by applying the Choynowski's test, and the second stage determines if there are clusters based on the information of the first stage by a binomial approximate method. We first use computer simulation to evaluate the performance of the proposed method and compare it with the scan statistics. Furthermore, we take the Taiwan Cancer data in 2000 to illustrate the detection results of the scan statistics and the proposed method.
Results: The simulation results support using the proposed method when the population sizes are large and the study regions are irregular. However, in general, the scan statistics still have better power in detecting clusters, especially when the population sizes are not large. For the analysis of cancer data, the scan statistics tend to spot more clusters, and the clusters' shapes are close to circular (or elliptic). On the other hand, the proposed methods only find one cluster and cannot detect small-sized clusters.
Conclusions: In brief, the proposed methods can detect both circular and non-circular clusters well when the significant cells are correctly detected by the Choynowski's method. In addition, the binomial-based method can handle the problem of multiple testing and save the computing time. On the other hand, both the circular and elliptical scan statistics have good power in detecting clusters, but tend to detect more clusters and have lower accuracy in detecting non-circular clusters.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3688287 | PMC |
| http://dx.doi.org/10.1186/1476-072X-12-25 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Predictors of Functional Impairment in Severe COVID-19 Patients Two Months After Discharge.
Ther Adv Pulm Crit Care Med
December 2024
Department of Pulmonary and Critical Care Medicine, Hôtel-Dieu de France University, Medical Center (HDFUMC) of the Saint-Joseph University of Beirut (USJ), Beirut, Lebanon.
Background: The Post-COVID-19 Functional Status (PCFS) scale is a validated tool used to measure the functional status of patients discharged from the hospital.
Objectives: To describe the functional limitations of hospitalized COVID-19 patients at the time of discharge and two months afterward, and to identify risk factors associated with functional impairment.
Design: Retrospective study.
Introduction The coracoid process is integral to the functionality of the scapula, serving as a crucial attachment point for several muscles involved in shoulder movement and stability. In pathologies and fractures of the coracoid process, understanding the morphometric variations is essential for devising optimal surgical strategies. Given the substantial lack of relevant data, this study aimed to analyze the morphometric variations in the dimensions of the coracoid process among the Sudanese population and evaluate the differences in the measurements in relation to gender.
View Article and Find Full Text PDFClinical and Economic Correlates of Pharmacotherapy in Patients with Essential Tremor.
Tremor Other Hyperkinet Mov (N Y)
December 2024
Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Background: Essential tremor (ET) is among the most common movement disorders, yet there are few treatment options. Medications have limited efficacy and adverse effects; thus, patients often discontinue pharmacotherapy or take several medications in combination. We evaluated the economic correlates (healthcare resource utilization [HCRU] and costs) and comorbidities among adults with and without ET and among subgroups of patients with ET prescribed 0 to ≥3 ET medications.
View Article and Find Full Text PDFObjectives: To determine the impact of dopamine deficiency and isolated REM sleep behavior disorder (iRBD) on cognitive performance in early neuronal alpha-synuclein disease (NSD) with hyposmia.
Methods: Using Parkinson's Progression Markers Initiative baseline data, cognitive performance was assessed with a cognitive summary score (CSS) developed by applying regression-based internal norms derived from a robust healthy control (HC) group. Performance was examined for participants with hyposmia classified as NSD-Integrated Staging System (NSD-ISS) Stage 2, either Stage 2A (CSF alpha-synuclein seed amplification assay [SAA]+, SPECT dopamine transporter scan [DaTscan]-) or 2B (SAA+, DaTscan+).
Prognostic value of metabolic tumor volume on [F]FDG PET/CT in addition to the TNM classification system of locally advanced non-small cell lung cancer.
Cancer Imaging
December 2024
Department of Translational Imaging in Oncology, National Center for Tumor Diseases (NCT/UCC) Dresden, Medical Faculty and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Fetscherstraße 74, Dresden, 01307, Germany.
Purpose: Staging of non-small cell lung cancer (NSCLC) is commonly based on [F]FDG PET/CT, in particular to exclude distant metastases and guide local therapy approaches like resection and radiotherapy. Although it is hoped that PET/CT will increase the value of primary staging compared to conventional imaging, it is generally limited to the characterization of TNM. The first aim of this study was to evaluate the PET parameter metabolic tumor volume (MTV) above liver background uptake as a prognostic marker in lung cancer.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!