SMRFIT : a statistical analysis system (SAS) program for standardized mortality ratio analyses and poisson regression model fits in community disease cluster investigations
Increasingly, health departments are being pressed by the public to respond to disease risk with cluster investigations in communities and neighborhoods. This is a direct result of growing concern about the role that the environment may play in disease risk. While extensive analyses directly inputin...
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| Veröffentlicht in: | American journal of epidemiology 1990-07, Vol.132 (1), p.S116-S122 |
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| container_end_page | S122 |
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| container_title | American journal of epidemiology |
| container_volume | 132 |
| creator | HANRAHAN, L. P MIRKIN, I OLSON, J ANDERSON, H. A FIORE, B. J |
| description | Increasingly, health departments are being pressed by the public to respond to disease risk with cluster investigations in communities and neighborhoods. This is a direct result of growing concern about the role that the environment may play in disease risk. While extensive analyses directly inputing exposures or numbers at risk are often necessary to thoroughly investigate clusters, it is quite useful to perform an exploratory analysis with existing morbidity and mortality data as a first level of response. To meet this need for timely evaluation, the authors describe a user-friendly Statistical Analysis System (SAS) program called SMRFIT to automate community disease cluster evaluations. The program creates frequency tables for number at risk and number of disease outcomes for the community, balance of parent county, and balance of state. SMRFIT then constructs standardized mortality ratios, with the community compared with balance of county and balance of state referents. Poisson regression is offered as an option for the modeling of community disease rates. |
| doi_str_mv | 10.1093/oxfordjournals.aje.a115772 |
| format | Article |
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P ; MIRKIN, I ; OLSON, J ; ANDERSON, H. A ; FIORE, B. J</creator><creatorcontrib>HANRAHAN, L. P ; MIRKIN, I ; OLSON, J ; ANDERSON, H. A ; FIORE, B. J</creatorcontrib><description>Increasingly, health departments are being pressed by the public to respond to disease risk with cluster investigations in communities and neighborhoods. This is a direct result of growing concern about the role that the environment may play in disease risk. While extensive analyses directly inputing exposures or numbers at risk are often necessary to thoroughly investigate clusters, it is quite useful to perform an exploratory analysis with existing morbidity and mortality data as a first level of response. To meet this need for timely evaluation, the authors describe a user-friendly Statistical Analysis System (SAS) program called SMRFIT to automate community disease cluster evaluations. 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| identifier | ISSN: 0002-9262 |
| ispartof | American journal of epidemiology, 1990-07, Vol.132 (1), p.S116-S122 |
| issn | 0002-9262 1476-6256 |
| language | eng |
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| source | MEDLINE; Oxford University Press Journals Digital Archive Legacy; Periodicals Index Online |
| subjects | Adult Aged Biological and medical sciences Cluster Analysis Computerized, statistical medical data processing and models in biomedicine Environmental Exposure Health Status Indicators Humans Incidence Male Medical sciences Medical statistics Middle Aged Poisson Distribution Regression Analysis Risk Factors Software Urban Population Urinary Bladder Neoplasms - epidemiology Urinary Bladder Neoplasms - etiology Urinary Bladder Neoplasms - mortality Wisconsin |
| title | SMRFIT : a statistical analysis system (SAS) program for standardized mortality ratio analyses and poisson regression model fits in community disease cluster investigations |
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