A scan statistic for continuous data based on the normal probability model Export

@article{citeulike:5975541, abstract = {Temporal, spatial and space-time scan statistics are commonly used to detect and evaluate the statistical significance of temporal and/or geographical disease clusters, without any prior assumptions on the location, time period or size of those clusters. Scan statistics are mostly used for count data, such as disease incidence or mortality. Sometimes there is an interest in looking for clusters with respect to a continuous variable, such as lead levels in children or low birth weight. For such continuous data, we present a scan statistic where the likelihood is calculated using the the normal probability model. It may also be used for other distributions, while still maintaining the correct alpha level. In an application of the new method, we look for geographical clusters of low birth weight in New York City.}, author = {Kulldorff, Martin and Huang, Lan and Konty, Kevin}, citeulike-article-id = {5975541}, citeulike-linkout-0 = {http://dx.doi.org/10.1186/1476-072X-8-58}, citeulike-linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/19843331}, citeulike-linkout-2 = {http://www.hubmed.org/display.cgi?uids=19843331}, day = {20}, doi = {10.1186/1476-072X-8-58}, issn = {1476-072X}, journal = {International Journal of Health Geographics}, keywords = {environmentalhealth, statisticalanalysis}, month = {October}, number = {1}, pages = {58+}, posted-at = {2009-10-28 17:25:54}, priority = {2}, title = {A scan statistic for continuous data based on the normal probability model}, url = {http://dx.doi.org/10.1186/1476-072X-8-58}, volume = {8}, year = {2009} }

TY - JOUR ID - citeulike:5975541 L3 - citeulike-article-id:5975541 N2 - Temporal, spatial and space-time scan statistics are commonly used to detect and evaluate the statistical significance of temporal and/or geographical disease clusters, without any prior assumptions on the location, time period or size of those clusters. Scan statistics are mostly used for count data, such as disease incidence or mortality. Sometimes there is an interest in looking for clusters with respect to a continuous variable, such as lead levels in children or low birth weight. For such continuous data, we present a scan statistic where the likelihood is calculated using the the normal probability model. It may also be used for other distributions, while still maintaining the correct alpha level. In an application of the new method, we look for geographical clusters of low birth weight in New York City. IS - 1 JF - International Journal of Health Geographics SN - 1476-072X TI - A scan statistic for continuous data based on the normal probability model VL - 8 SP - 58 KW - environmentalhealth KW - statisticalanalysis AU - Kulldorff, Martin AU - Huang, Lan AU - Konty, Kevin PY - 2009/10/20/ UR - http://dx.doi.org/10.1186/1476-072X-8-58 ER -