heatplot.crossnma {crossnma}R Documentation

Heat Plot

Description

Produces a heat plot that contain 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'
heatplot(
  x,
  median = TRUE,
  exp = TRUE,
  order = NULL,
  low.colour = "red",
  mid.colour = "white",
  high.colour = "springgreen4",
  cov1.value = NULL,
  cov2.value = NULL,
  cov3.value = NULL,
  size = 6,
  size.trt = 20,
  size.axis = 12,
  digits = 2,
  ...
)

heatplot(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.

exp

If TRUE (default), odds ratios are displayed. If FALSE, log odds ratios will be presented.

order

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

low.colour

A string indicating the colour of low relative treatment effects for the heat plot (e.g odds ratio of ~0.5)

mid.colour

A string indicating the colour of null relative treatment effects for the heat plot (e.g odds ratio of ~1.0).

high.colour

A string indicating the colour of high relative treatment effects for the heat plot (e.g odds ratio of ~2.0).

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.

size

The size of cell entries with the relative treatment effect and 95% credible intervals.

size.trt

The size of treatment names placed on the top and left of the plot.

size.axis

The size of labels on the top and left of the plot

digits

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

...

Additional arguments (ignored at the moment).

Value

League heat plot, where a color scale is used to represent the relative treatment effects.

Author(s)

Tasnim Hamza tasnim.hamza@ispm.unibe.ch

See Also

crossnma

Examples

# 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
head(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
# (suppress warning 'Adaptation incomplete' due to n.adapt = 20)
fit <-
  suppressWarnings(crossnma(mod, n.adapt = 20,
    n.iter = 50, thin = 1, n.chains = 3))

# Create a heat plot
heatplot(fit)


[Package crossnma version 1.0.1 Index]