| Title |
A log-Weibull spatial scan statistic for time to event data
|
|---|---|
| Published in |
International Journal of Health Geographics, June 2018
|
| DOI | 10.1186/s12942-018-0137-9 |
| Pubmed ID | |
| Authors |
Iram Usman, Rhonda J. Rosychuk |
| Abstract |
Spatial scan statistics have been used for the identification of geographic clusters of elevated numbers of cases of a condition such as disease outbreaks. These statistics accompanied by the appropriate distribution can also identify geographic areas with either longer or shorter time to events. Other authors have proposed the spatial scan statistics based on the exponential and Weibull distributions. We propose the log-Weibull as an alternative distribution for the spatial scan statistic for time to events data and compare and contrast the log-Weibull and Weibull distributions through simulation studies. The effect of type I differential censoring and power have been investigated through simulated data. Methods are also illustrated on time to specialist visit data for discharged patients presenting to emergency departments for atrial fibrillation and flutter in Alberta during 2010-2011. We found northern regions of Alberta had longer times to specialist visit than other areas. We proposed the spatial scan statistic for the log-Weibull distribution as a new approach for detecting spatial clusters for time to event data. The simulation studies suggest that the test performs well for log-Weibull data. |
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 4 | 40% |
| Student > Ph. D. Student | 2 | 20% |
| Researcher | 1 | 10% |
| Unknown | 3 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 2 | 20% |
| Agricultural and Biological Sciences | 2 | 20% |
| Biochemistry, Genetics and Molecular Biology | 1 | 10% |
| Mathematics | 1 | 10% |
| Medicine and Dentistry | 1 | 10% |
| Other | 1 | 10% |
| Unknown | 2 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 June 2018.
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#14,417,376
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Outputs from International Journal of Health Geographics
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Outputs of similar age from International Journal of Health Geographics
#13
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