league.crossnma function

League Table

Produces a league table that contains point estimates of relative effects for all possible pairs of treatments along with 95% credible intervals obtained with the quantile method.

## S3 method for class 'crossnma'
league(
  x,
  median = TRUE,
  backtransf = x$model$backtransf,
  order = NULL,
  cov1.value = NULL,
  cov2.value = NULL,
  cov3.value = NULL,
  digits = gs("digits"),
  direction = "wide",
  exp = backtransf,
  ...
)

league(x, ...)

## S3 method for class 'league.crossnma'
print(x, ...)

Arguments

• x: An object created with crossnma.

• median: A logical indicating whether to use the median (default) or mean to measure relative treatment effects.

• backtransf: A logical indicating whether results should be back transformed. If backtransf = TRUE, results for sm = "OR" are presented as odds ratios rather than log odds ratios, for example.

• order: A vector of treatment names (character) representing the order in which to display these treatments.

• cov1.value: The participant covariate value of cov1

  for which to report the results. Must be specified for network meta-regression and when individual participant dataset is used in the analysis. For dichotomous covariates, a character of the level (used in the data) should be indicated.

• cov2.value: The participant covariate value of cov2

  for which to report the results. Must be specified for network meta-regression and when individual participant dataset is used in the analysis. For dichotomous covariates, a character of the level (used in the data) should be indicated.

• cov3.value: The participant covariate value of cov3

  for which to report the results. Must be specified for network meta-regression and when individual participant dataset is used in the analysis. For dichotomous covariates, a character of the level (used in the data) should be indicated.

• digits: The number of digits to be used when displaying the results.

• direction: The format to display the league table. Two options "wide" (default) and "long".

• exp: Deprecated argument (replaced by backtransf).

• ...: Additional arguments (ignored at the moment).

Returns

A league table. Row names indicate comparator treatments. The table will be displayed in a long or wide formatting.

Examples

## Not run:

# We conduct a network meta-analysis assuming a random-effects
# model.
# The data comes from randomized-controlled trials and
# non-randomized studies (combined naively)
head(ipddata) # participant-level data
stddata # study-level data

# Create a JAGS model
mod <- crossnma.model(treat, id, relapse, n, design,
  prt.data = ipddata, std.data = stddata,
  reference = "A", trt.effect = "random", method.bias = "naive")

# Fit JAGS model
set.seed(1909)
fit <- crossnma(mod)

# Create league tables
league(fit)                     #  wide format
league(fit, direction = "long") #  long format
## End(Not run)

See Also

crossnma

Author(s)

Tasnim Hamza hamza.a.tasnim@gmail.com