metasens

Advanced Statistical Methods to Model and Adjust for Bias in Meta-Analysis

The following methods are implemented to evaluate how sensitive the results of a meta-analysis are to potential bias in meta-analysis and to support Schwarzer et al. (2015) <DOI:10.1007/978-3-319-21416-0>, Chapter 5 "Small-Study Effects in Meta-Analysis": - Copas selection model described in Copas & Shi (2001) <DOI:10.1177/096228020101000402>; - limit meta-analysis by Rücker et al. (2011) <DOI:10.1093/biostatistics/kxq046>; - upper bound for outcome reporting bias by Copas & Jackson (2004) <DOI:10.1111/j.0006-341X.2004.00161.x>.

Total

11,695

Last month

212

Last week

54

Average per day

7

Daily downloads

Total downloads

Description file content

Package
metasens
Title
Advanced Statistical Methods to Model and Adjust for Bias in Meta-Analysis
Version
0.3-2
Depends
meta (>= 4.9-0)
Date
2017-12-06
URL
Description
The following methods are implemented to evaluate how sensitive the results of a meta-analysis are to potential bias in meta-analysis and to support Schwarzer et al. (2015) , Chapter 5 "Small-Study Effects in Meta-Analysis": - Copas selection model described in Copas & Shi (2001) ; - limit meta-analysis by Rücker et al. (2011) ; - upper bound for outcome reporting bias by Copas & Jackson (2004) .
License
GPL (>= 2)
Encoding
UTF-8
NeedsCompilation
no
Packaged
2017-12-05 23:33:37 UTC; sc
Author
Guido Schwarzer [aut, cre], James R. Carpenter [aut], Gerta Rücker [aut]
Maintainer
Guido Schwarzer
Repository
CRAN
Date/Publication
2017-12-06 00:03:47 UTC

install.packages('metasens')

0.3-2

2 months ago

https://github.com/guido-s/metasens

Guido Schwarzer

GPL (>= 2)

Depends on

meta (>= 4.9-0)

Discussions