Package 'nmadb'

NMA catalog

Description

Petropoulou et al. compiled a database of network meta-analyses to serve as a source for empirical studies Petropoulou (2016). The database is hosted in a REDcap database at the Institute of Social and Preventive Medicine (ISPM) in the University of Bern. Function getNMADB downloads the list of networks included in Petropoulou (2016).

Usage

getNMADB()

Value

A data.frame with the network meta-analyses included in [1]. Several characterstics related to the publications (e.g. Journal.Name, Title) are included in the data.frame.

References

Petropoulou M, Nikolakopoulou A A, Veroniki A, Rios P, Vafaei A, Zarin W, Giannatsi M, Sullivan S, Tricco A C, Chaimani A, Egger M, Salanti G (2016) <doi:10.1016/j.jclinepi.2016.11.002>.

Examples

catalog = getNMADB()
## Not run: 
  Networks that labeled Verified have outcome data 
  that allow the analysis to be repeated.

## End(Not run)
nmalist = catalog[catalog$Verified=="True",]
nmalist

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Read NMA dataset

Description

ReadByID downloads the dataset and main characteristics of the specified network meta-analysis. You can list all ids from the catalog by calling getNMADB.

Usage

readByID(recid)

Arguments

recid

Record id of network

Value

A list with the name (id), data (dataset), type (continuous, binary, rate, survival), effect (type of measure: RR OR RR RD ...), format (long, wide, iv).

• 'long' refers to data where each row represents a study treatment arm

• 'wide' refers to data where each row represents a study treatment comparison

• 'iv' refers to an 'inverse variance' format, where a comparison specific estimate of the treatment effect and its standard error are reported.

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Run netmeta

Description

R package netmeta provides frequenstist methods for network meta-analysis based on Rücker (2012) and Rücker (2014). This function is used to run netmeta on a specified network included in the database of network meta-analyses, which can be downloaded using function getNMADB.

Usage

runnetmeta(recid, model = "random", measure = "notset")

Arguments

recid	ID of network in database
model	"fixed" or "random"; specifies if fixed or random effects network meta-analysis should be conducted.
measure	"notset" (default) is the type of effect measure in the original publication "OR" odds ratio for binary data "RR" risk ratio for binary data "RD" risk difference for binary data "MD" mean difference for continuous data "SMD" standardized mean difference for continuous data "HR" hazard ratio for survival data "IRR" incidence rate ratio for rate data If the measure entered is not compatible with network's type you get an error

Value

An object of class netmeta; for the descirption of the components included in the object, see the help file of netmeta.

References

Rücker G (2012) <doi:10.1002/jrsm.1058>.

Rücker G, Schwarzer G (2014) <doi:10.1002/sim.6236>.

See Also

netmeta ,getNMADB ,readByID

Examples

## Not run: 
  Conduct random effects network meta-analysis 
  in a random network with continuous outcome

## End(Not run)
cid <- 501427
netc <- readByID(cid)
## Not run: get type and effect
netc$type
netc$effect
## Not run: In order to run netmeta but get "SMD" summary effects instead
runnetmeta(recid=cid, measure="SMD")



## Not run: If we the following example choosing OR we get an error
runnetmeta(recid=cid, measure="OR")
## End(Not run)

## Not run: As before for a network with binary outcome
bid <- 481216
netb <- readByID(bid)
## Not run: get type and effect
netb$type
netb$effect
runnetmeta(recid=bid, measure="OR")
 
## Not run: Survival outcome
sid <- 479888
nets <- readByID(sid)
## Not run: get type and effect
nets$type
nets$effect
runnetmeta(recid=sid)
 
## Not run: Rate outcome
rid <- 479999
netr <- readByID(rid)
## Not run: get type and effect
netr$type
netr$effect
runnetmeta(recid=rid)

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