dosresmeta-package
(Package: dosresmeta) :
Performing Multivariate Dose-Response Meta-Analysis
The package dosresmeta consists of a collection of functions to estimate a dose-response relation from either a single or multiple summarized dose-response data. The method was first formalized by Greenland and Longnecker (1992); the authors described how to approximate the covariances of reported log relative risks and how use them to efficiently estimate an exposure-disease relation. The study specific estimates are combined through multivariate random-effect meta-analytical model, to obtaind a pooled dose-response association.
● Data Source:
CranContrib
● Keywords:
● Alias: dosresmeta-package
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This method function computes predictions from fitted dose-response models represented in objects of class "dosresmeta", optionally for a new set of exposure levels. Predictions are optionally accompanied by confidence intervals and/or standard errors for the predictions.
● Data Source:
CranContrib
● Keywords:
● Alias: predict.dosresmeta
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coef.dosresmeta
(Package: dosresmeta) :
Extract Coefficients and (Co)Variance Matrix from dosresmeta Objects
Extract Coefficients and (Co)Variance Matrix from dosresmeta Objects
● Data Source:
CranContrib
● Keywords:
● Alias: coef.dosresmeta, vcov.dosresmeta
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Print and summary method functions for dose-response models represented in objects of class "dosresmeta".
● Data Source:
CranContrib
● Keywords:
● Alias: print.dosresmeta, print.summary.dosresmeta, summary.dosresmeta
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grl
(Package: dosresmeta) :
Approximating effective-counts as proposed by Greenland & Longnecker
The function grl reconstructs the set of pseudo-numbers (or "effective" numbers) of cases and non-cases consistent with the input data (log relative risks) for either a single or multiple summarized data. The method was proposed in 1992 by Greenland and Longnecker.
● Data Source:
CranContrib
● Keywords:
● Alias: grl
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dosresmeta
(Package: dosresmeta) :
Performing multivariate dose-response meta-analysis
Estimates a dose-response relation from either a single or multiple summarized data, taking into account the correlation among set of log relative risks. The covariances are approximated according to two different methods, proposed respectively by Greeland S., Longnecker M., and Hamling J.; alternatively the user can provide directly the covariance matrices or the avarage covariances (Easton D.). The study-specific estimates are combined according to principles of multivariate random-effects meta-analysis.
● Data Source:
CranContrib
● Keywords:
● Alias: dosresmeta
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alcohol_cvd
(Package: dosresmeta) :
Six published studies on the relation between alcohol intake and vascular disease risk.
The dataset reports the summarized dose-response results from six observational studies on the relation between alcohol intake and vascular disease risk (Qin Liu 2009). Four are case-control studies, two prospective (cumulative-incidence data).
● Data Source:
CranContrib
● Keywords: data
● Alias: alcohol_cvd
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hamling
(Package: dosresmeta) :
Approximating effective-counts as proposed by Hamling
The function hamling reconstructs the set of pseudo-numbers (or "effective" numbers) of cases and non-cases consistent with the input data (log relative risks) for either a single or multiple summarized data. The method was proposed in 2008 by Hamling.
● Data Source:
CranContrib
● Keywords:
● Alias: hamling
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alcohol_crc
(Package: dosresmeta) :
Eight published studies on the relation between alcohol intake and colon-rectal cancer.
The dataset reports the summarized dose-response results from eight prospective #' studies on the relation between alcohol intake and colon-rectal risk (Orsini 2012).
● Data Source:
CranContrib
● Keywords: data
● Alias: alcohol_crc
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cc_ex
(Package: dosresmeta) :
Case-control data on alcohol and breast cancer risk
The dataset reports the summarized dose-response results from a case-control study on alcohol and breast cancer, first presented by Rohan and McMichael.
● Data Source:
CranContrib
● Keywords: data
● Alias: cc_ex
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