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Название: Analysis of Epidemiologic Data Using R
Автор: Robert Hirschs
Издательство: Springer
Год: 2024
Страниц: 115
Язык: английский
Формат: pdf (true), epub
Размер: 10.4 MB
This book addresses the description and analysis of occurrence data frequently encountered in epidemiological studies. With the occurrence of Covid-19, people have been exposed to the analysis and interpretation of epidemiological data. To be informed consumers of this information, people need to understand the nature and analysis of these data. Effort is made to emphasize concepts rather than mathematics. Subjects range from description of the frequencies of disease to the analysis of associations between the occurrence of disease and exposure. Those analyses begin with simple associations and work up to complex relationships that involve the control of extraneous characteristics. Analyses rely on the statistical software R, which is freeware in wide use by professional epidemiologists and other scientists. R is free statistical software that is available for download on the web. It is usually run from an interface called “RStudio.” RStudio is set up with four quadrants. The lower left is where the programs are run. The lower right is where the documentation is available and where graphic output appears. Statistical packages for R have been developed by users and made available to the R community. These packages as well as the original collection of programs are available free of charge and are widely used by epidemiologists and other researchers. R has many collections of programs available.
Автор: Robert Hirschs
Издательство: Springer
Год: 2024
Страниц: 115
Язык: английский
Формат: pdf (true), epub
Размер: 10.4 MB
This book addresses the description and analysis of occurrence data frequently encountered in epidemiological studies. With the occurrence of Covid-19, people have been exposed to the analysis and interpretation of epidemiological data. To be informed consumers of this information, people need to understand the nature and analysis of these data. Effort is made to emphasize concepts rather than mathematics. Subjects range from description of the frequencies of disease to the analysis of associations between the occurrence of disease and exposure. Those analyses begin with simple associations and work up to complex relationships that involve the control of extraneous characteristics. Analyses rely on the statistical software R, which is freeware in wide use by professional epidemiologists and other scientists. R is free statistical software that is available for download on the web. It is usually run from an interface called “RStudio.” RStudio is set up with four quadrants. The lower left is where the programs are run. The lower right is where the documentation is available and where graphic output appears. Statistical packages for R have been developed by users and made available to the R community. These packages as well as the original collection of programs are available free of charge and are widely used by epidemiologists and other researchers. R has many collections of programs available.