nmarank {nmarank}

Probabilities of treatment hierarchies

Description

Specifies the frequencies of hierarchies along with their estimated probabilities and the probability that a specified criterion holds.

Usage

nmarank(
  TE.nma,
  condition = NULL,
  text.condition = "",
  VCOV.nma = NULL,
  pooled,
  nsim = 10000,
  small.values
)

## S3 method for class 'nmarank'
print(
  x,
  text.condition = x$text.condition,
  nrows = 10,
  digits = gs("digits.prop"),
  ...
)

Arguments

TE.nma

Either a netmeta object or a matrix with network estimates.

condition

Defines the conditions that should be satisfied by the treatments in the network. Multiple conditions can be combined with special operators into any decision tree. See condition.

text.condition

Optional descriptive text for the condition.

VCOV.nma

Variance-covariance matrix for network estimates (only considered if argument TE.nma isn't a netmeta object).

pooled

A character string indicating whether the hierarchy is calculated for the common effects ("common") or random effects model ("random"). Can be abbreviated.

nsim

Number of simulations.

small.values

A character string specifying whether small treatment effects indicate a "desirable" or "undesirable" effect.

x

A nmarank object.

nrows

Number of hierarchies to print.

digits

Minimal number of significant digits for proportions, see print.default.

...

Additional arguments.

Details

A simulation method is used to derive the relative frequency of all possible hierarchies in a network of interventions. Users can also define the set of all possible hierarchies that satisfy a specified criterion, for example that a specific order among treatments is retained in the network and/or a treatment is in a specific position, and the sum of their frequencies constitute the certainty around the criterion.

Value

An object of class "nmarank" with corresponding print function. The object is a list containing the following components:

hierarchies

A list of the most frequent hierarchies along with their estimated probability of occurrence.

probabilityOfSelection

Combined probability of all hierarchies that satisfy the defined condition.

TE.nma, condition, VCOV.nma

As defined above.

pooled, nsim, small.values

As defined above.

See Also

condition, netmeta

Examples

data("Woods2010", package = "netmeta")
p1 <- pairwise(treatment, event = r, n = N, studlab = author,
               data = Woods2010, sm = "OR")
net1 <- netmeta(p1, small.values = "good")

nmarank(net1, nsim = 100)

criterionA <-
 condition("sameHierarchy",
           c("SFC", "Salmeterol", "Fluticasone", "Placebo"))
nmarank(net1, criterionA, nsim = 100)