(SAS) program for standardized mortality ratio analyses and Poisson regression model fits In community disease cluster investigations. Am J Epidemiol 1990;132:S116-S122. 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 us...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Division of Bioengineering and Environmental...
Six statistics are compared in a simulation study for their ability to identify geographical areas w...
This book aims to compile typical fundamental-to-advanced statistical methods to be used for health ...
The relative survival framework is a popular method for the estimation of a subject's survival, corr...
Flood T J, Englender S J and Caldwell G G. Assessment of the spatial occurrence of childhood leukaem...
Background: Multiple long-term health conditions (multimorbidity) (MLTC-M) are increasingly prevalen...
and H. A. Anderson. State health department response to disease cluster reports: a protocol for inve...
Contains fulltext : 58906.pdf (publisher's version ) (Closed access)OBJECTIVE: To ...
Small area analysis has developed as a tool for research in community medicine over the last two dec...
When a study population is relatively healthy, such as an occupational population, epidemiological s...
Background: Multiple long-term health conditions (multimorbidity) (MLTC-M) are increasingly prevalen...
Analytic procedures suitable for the study of human disease are scattered throughout the statistical...
The purpose of this SAS macro in a Windows environment is to generate SAS data sets containing perso...
<p>The analytical sample for the analyses is constituted of respondents with at least one adult deat...
The analysis of geographic variation of disease and its representation on a map form an important to...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Division of Bioengineering and Environmental...
Six statistics are compared in a simulation study for their ability to identify geographical areas w...
This book aims to compile typical fundamental-to-advanced statistical methods to be used for health ...
The relative survival framework is a popular method for the estimation of a subject's survival, corr...
Flood T J, Englender S J and Caldwell G G. Assessment of the spatial occurrence of childhood leukaem...
Background: Multiple long-term health conditions (multimorbidity) (MLTC-M) are increasingly prevalen...
and H. A. Anderson. State health department response to disease cluster reports: a protocol for inve...
Contains fulltext : 58906.pdf (publisher's version ) (Closed access)OBJECTIVE: To ...
Small area analysis has developed as a tool for research in community medicine over the last two dec...
When a study population is relatively healthy, such as an occupational population, epidemiological s...
Background: Multiple long-term health conditions (multimorbidity) (MLTC-M) are increasingly prevalen...
Analytic procedures suitable for the study of human disease are scattered throughout the statistical...
The purpose of this SAS macro in a Windows environment is to generate SAS data sets containing perso...
<p>The analytical sample for the analyses is constituted of respondents with at least one adult deat...
The analysis of geographic variation of disease and its representation on a map form an important to...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Division of Bioengineering and Environmental...
Six statistics are compared in a simulation study for their ability to identify geographical areas w...
This book aims to compile typical fundamental-to-advanced statistical methods to be used for health ...