- #Comprehensive meta analysis version 3 serail upgrade#
- #Comprehensive meta analysis version 3 serail software#
It could use a few improvements, however, as well.
#Comprehensive meta analysis version 3 serail software#
R-release (arm64): metafor_3.0-2.tgz, r-release (x86_64): metafor_3.0-2.tgz, r-oldrel: metafor_3.0-2.tgzīayesmeta, BLMA, metaforest, metawho, SAMURAIĪltmeta, boot.heterogeneity, boutliers, catmap, concurve, ConfoundedMeta, EValue, fmri, fragility, getmstatistic, getspres, KenSyn, mc.heterogeneity, meta, MetaCyto, metagam, metagear, metamedian, metamisc, metaplus, MetaUtility, metaviz, MetaVolcanoR, miniMeta, MMUPHin, multisite.accuracy, netmeta, NO.PING.PONG, NSM3, psychmeta, PublicationBias, puniform, RcmdrPlugin.MA, Replicate, reproducer, rma. In conclusion, CDR Data Analysis Software is a comprehensive solution for users who need to investigate call records and track suspected numbers.
#Comprehensive meta analysis version 3 serail upgrade#
The name MIX comes from Meta-analysis In eXcel and 2.0 identifies a major upgrade of the source code a few years back. R-devel: metafor_3.0-2.zip, r-release: metafor_3.0-2.zip, r-oldrel: metafor_3.0-2.zip MIX 2.0 is a sophisticated statistical add-in for performing meta-analysis in Excel. Lme4, numDeriv, minqa, nloptr, dfoptim, ucminf, optimParallel, CompQuadForm, mvtnorm, BiasedUrn, Epi, survival, GLMMadaptive, multcomp, gsl, sp, ape, boot, crayon, R.rsp, testthat, rmarkdownĬlinicalTrials, MetaAnalysis, Phylogeneticsĭiagram of Functions in the metafor Package Conducting Meta-Analyses in R with the metafor Package It has been around for more than 10 years and has been used in hundreds of analyses and publications. Stats, utils, graphics, grDevices, nlme, mathjaxr, pbapply MIX 2.0 is a sophisticated statistical add-in for performing meta-analysis in Excel. An introduction to the package can be found in Viechtbauer (2010). Network meta-analyses and meta-analyses accounting for known correlation structures (e.g., due to phylogenetic relatedness) can also be conducted. Finally, the package provides functionality for fitting meta-analytic multivariate/multilevel models that account for non-independent sampling errors and/or true effects (e.g., due to the inclusion of multiple treatment studies, multiple endpoints, or other forms of clustering). For meta-analyses of binomial and person-time data, the package also provides functions that implement specialized methods, including the Mantel-Haenszel method, Peto's method, and a variety of suitable generalized linear (mixed-effects) models (i.e., mixed-effects logistic and Poisson regression models). Study Selection: Studies published in English from 1966 to October 2010 that enrolled outpatient adults receiving long-term (3 months) oral anticoagulant therapy and that compared PST or PSM with care in a physicians office or an anticoagulation clinic were included. The package includes functions to calculate various effect sizes or outcome measures, fit fixed-, random-, and mixed-effects models to such data, carry out moderator and meta-regression analyses, and create various types of meta-analytical plots (e.g., forest, funnel, radial, L'Abbe, Baujat, bubble, and GOSH plots). Comprehensive Meta Analysis Regression Data Sources: MEDLINE and the Cochrane Central Register of Controlled Trials. A comprehensive collection of functions for conducting meta-analyses in R.
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