coffee_mort: Twenty-one prospective studies on the relation between coffee...
In dosresmeta: Multivariate Dose-Response Meta-Analysis
Description
Format
Author(s)
References
Description
The dataset reports the summarized dose-response results from twenty-one prospective studies on the relation between coffee consumption
and all-cause mortality.
Format
A data frame with 109 observations on the following 11 variables:
id id of the studies included in the analysis.
author names of the first author.
year year of publication.
type code for study design.
dose assigned dose levels.
cases number of cases for each exposure level.
n total number of subjects (type = "ci") or person-years (type = "ir") for each exposure level.
logrr natural logarithm of the adjusted risk estimates.
se standard error for the logarithm of the adjusted risk estimates.
gender factor variable for the gender of the partecipants.
area factor variable for the study location.
Author(s)
Alessio Crippa, <alessio.crippa@ki.se>
References
Crippa A, Discacciati A, Larsson SC, Wolk A, Orsini N. Coffee Consumption and Mortality from All Causes, Cardiovascular Disease, and Cancer:
A Dose-Response Meta-Analysis. Am J Epidemiol. 2014 Aug 24. pii: kwu194.
dosresmeta documentation built on May 2, 2019, 6:30 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Format Author(s) References
Description
The dataset reports the summarized dose-response results from twenty-one prospective studies on the relation between coffee consumption and all-cause mortality.
Format
A data frame with 109 observations on the following 11 variables:
id | id of the studies included in the analysis. |
author | names of the first author. |
year | year of publication. |
type | code for study design. |
dose | assigned dose levels. |
cases | number of cases for each exposure level. |
n | total number of subjects (type = "ci") or person-years (type = "ir") for each exposure level. |
logrr | natural logarithm of the adjusted risk estimates. |
se | standard error for the logarithm of the adjusted risk estimates. |
gender | factor variable for the gender of the partecipants. |
area | factor variable for the study location. |
Author(s)
Alessio Crippa, <alessio.crippa@ki.se>
References
Crippa A, Discacciati A, Larsson SC, Wolk A, Orsini N. Coffee Consumption and Mortality from All Causes, Cardiovascular Disease, and Cancer: A Dose-Response Meta-Analysis. Am J Epidemiol. 2014 Aug 24. pii: kwu194.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.