alcohol_lc: Four published studies on the relation between alcohol intake...
In dosresmeta: Multivariate Dose-Response Meta-Analysis
alcohol_lc R Documentation
Four published studies on the relation between alcohol intake and lung cancer
Description
The dataset reports the summarized dose-response results from four prospective
studies on the relation between alcohol intake and lunger cancer.
Format
A data frame with 20? observations on the following 7 variables:
id label for author's names (id variable).
type code for study design.
dose assigned dose levels.
cases number of cases for each exposure level.
peryears amount of person-time for each exposure level.
logrr natural logarithm of the adjusted "relative risks".
se standard error for the logarithm of the adjusted "relative risks".
Author(s)
Alessio Crippa, <alessio.crippa@ki.se>
References
Orsini, N., Li, R., Wolk, A., Khudyakov, P., Spiegelman, D. (2012). Meta-analysis for linear and nonlinear dose-response relations: examples,
an evaluation of approximations, and software. American journal of epidemiology, 175(1), 66-73.
dosresmeta documentation built on June 8, 2025, 2:01 p.m.
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| alcohol_lc | R Documentation |
Four published studies on the relation between alcohol intake and lung cancer
Description
The dataset reports the summarized dose-response results from four prospective studies on the relation between alcohol intake and lunger cancer.
Format
A data frame with 20? observations on the following 7 variables:
id | label for author's names (id variable). |
type | code for study design. |
dose | assigned dose levels. |
cases | number of cases for each exposure level. |
peryears | amount of person-time for each exposure level. |
logrr | natural logarithm of the adjusted "relative risks". |
se | standard error for the logarithm of the adjusted "relative risks". |
Author(s)
Alessio Crippa, <alessio.crippa@ki.se>
References
Orsini, N., Li, R., Wolk, A., Khudyakov, P., Spiegelman, D. (2012). Meta-analysis for linear and nonlinear dose-response relations: examples, an evaluation of approximations, and software. American journal of epidemiology, 175(1), 66-73.
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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