league.crossnma {crossnma}

League Table

Description

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.

Usage

## 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).

Value

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

Author(s)

Tasnim Hamza [e-mail]

See Also

crossnma

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)