Evidence map›Paper›PMID 20234799›Full record

ArticleSpatial and spatio-temporal epidemiology

Cluster morphology analysis.

Geoffrey M Jacquez

Abstract read
In one paragraph

Article in Spatial and spatio-temporal epidemiology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. A Practical Strategy of Informatics, Geospatial Mapping, Geodemographic Segmentation, and Regression Analyses to Address Nonadherence to Colorectal Cancer Screening.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    Article
  2. Observational
  3. Article
  4. Article
  5. Disparities in Temporal and Geographic Patterns of Myocardial Infarction Hospitalization Risks in Florida.International journal of environmental research and public health · 2019
    Article
  6. Article
  7. Article
  8. Article
  9. Spatial heterogeneity of type I error for local cluster detection tests.International journal of health geographics · 2014
    Article
  10. Article
  11. Performance map of a cluster detection test using extended power.International journal of health geographics · 2013
    Article
  12. Article
  13. Article
  14. Genetic GIScience: Toward a Place-Based Synthesis of the Genome, Exposome, and Behavome.Annals of the Association of American Geographers. Association of American Geographers
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Geoffrey M JacquezDepartment of Environmental Health Sciences, The University of Michigan, School of Public Health, Ann Arbor, 48109-2029, USA. jacquez@biomedware.com

Funding

Case-only Cancer Clustering for Mobile PopulationsR44CA135818 · NCI · BIOMEDWARE · PI JACQUEZ, GEOFFREY M. · 2009 to 2010
$878k
Cancer Cluster MorphologyR44CA112743 · NCI · BIOMEDWARE · PI JACQUEZ, GEOFFREY M. · 2008 to 2009
$750k
Case-only Cancer Clustering for Mobile PopulationsR43CA135818 · NCI · BIOMEDWARE · PI JACQUEZ, GEOFFREY M. · 2008 to 2008
$100k
NCI NIH HHS R43 CA135818NCI NIH HHS R43CA135818NCI NIH HHS R44 CA112743NCI NIH HHS R44CA112743NCI NIH HHS R44 CA135818
6 · The paper itself

Abstract

Most disease clustering methods assume specific shapes and do not evaluate statistical power using the applicable geography, at-risk population, and covariates. Cluster Morphology Analysis (CMA) conducts power analyses of alternative techniques assuming clusters of different relative risks and shapes. Results are ranked by statistical power and false positives, under the rationale that surveillance should (1) find true clusters while (2) avoiding false clusters. CMA then synthesizes results of the most powerful methods. CMA was evaluated in simulation studies and applied to pancreatic cancer mortality in Michigan, and finds clusters of flexible shape while routinely evaluating statistical power.

Indexed as

Cluster AnalysisGeography, MedicalFemaleHumansMaleMichiganModels, StatisticalPancreatic NeoplasmsResearch DesignRiskSurvival AnalysisClustering methodsmedical geographymeta-analysisstatistical power

Identifiers

PMID20234799
PMCPMC2838429

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.