meta.DSL: Random effects (DerSimonian-Laird) meta-analysis

In rmeta: Meta-Analysis

Description

Computes the individual odds ratios or relative risks, the summary, the random effects variance, and Woolf's test for heterogeneity. The print method gives the summary and test for heterogeneity; the summary method also gives all the individual odds ratios and confidence intervals. Studies with zero or infinite odds ratio are omitted, as their variance cannot be calculated sensibly.

The plot method draws a standard meta-analysis plot. The confidence interval for each study is given by a horizontal line, and the point estimate is given by a square whose height is inversely proportional to the standard error of the estimate. The summary odds ratio, if requested, is drawn as a diamond with horizontal limits at the confidence limits and width inversely proportional to its standard error.

Usage

meta.DSL(ntrt, nctrl, ptrt, pctrl, conf.level=0.95,
         names=NULL, data=NULL, subset=NULL, na.action=na.fail,statistic="OR")
## S3 method for class 'meta.DSL'
summary(object, conf.level=NULL, ...)
## S3 method for class 'meta.DSL'
plot(x, summary=TRUE, summlabel="Summary",
             conf.level=NULL, colors=meta.colors(), xlab=NULL,...)

Arguments

ntrt	Number of subjects in treated/exposed group
nctrl	Number of subjects in control group
ptrt	Number of events in treated/exposed group
pctrl	Number of events in control group
conf.level	Coverage for confidence intervals
names	names or labels for studies
data	data frame to interpret variables
subset	subset of studies to include
na.action	a function which indicates what should happen when the data contain NAs. Defaults to na.fail.
statistic	"OR" for odds ratio, "RR" for relative risk
x,object	a meta.DSL object
summary	Plot the summary odds ratio?
summlabel	Label for the summary odds ratio
colors	see meta.colors
xlab	x-axis label, default is based on statistic
...	further arguments to be passed from or to methods.

Value

An object of class meta.DSL with print, plot, funnelplot and summary methods.

Author(s)

Thomas Lumley

See Also

plot,par,meta.MH,funnelplot

Examples

data(catheter)
b <- meta.DSL(n.trt, n.ctrl, col.trt, col.ctrl, data=catheter,
              names=Name, subset=c(13,6,5,3,7,12,4,11,1,8,10,2))
b
summary(b)
plot(b)
e <- meta.DSL(n.trt, n.ctrl, inf.trt, inf.ctrl, data=catheter,
              names=Name, subset=c(13,6,3,12,4,11,1,14,8,10,2))
e
summary(e)
##tasteless
plot(e, colors=meta.colors(summary="green",lines="purple",box="orange"))

Example output

Warning message:
In meta.DSL(n.trt, n.ctrl, col.trt, col.ctrl, data = catheter, names = Name,  :
  Studies with 0/Inf statistic omitted
Random effects ( DerSimonian-Laird ) meta-analysis
Call: meta.DSL(ntrt = n.trt, nctrl = n.ctrl, ptrt = col.trt, pctrl = col.ctrl, 
    names = Name, data = catheter, subset = c(13, 6, 5, 3, 7, 
        12, 4, 11, 1, 8, 10, 2))
Summary OR= 0.4    95% CI ( 0.28, 0.57 )
Estimated random effects variance: 0.19 
Random effects ( DerSimonian-Laird ) meta-analysis
Call: meta.DSL(ntrt = n.trt, nctrl = n.ctrl, ptrt = col.trt, pctrl = col.ctrl, 
    names = Name, data = catheter, subset = c(13, 6, 5, 3, 7, 
        12, 4, 11, 1, 8, 10, 2))
------------------------------------
             OR (lower  95% upper)
Tennenberg 0.22    0.10       0.49
Maki       0.49    0.29       0.82
vanHeerden 0.27    0.07       1.00
Hannan     0.83    0.40       1.72
Bach(a)     NaN    0.00        NaN
Bach(b)    0.11    0.02       0.49
Heard      0.60    0.38       0.95
Collins    0.10    0.02       0.41
Ciresi     0.69    0.34       1.42
Ramsay     0.58    0.37       0.92
Trazzera   0.47    0.23       0.94
George     0.12    0.04       0.33
------------------------------------
SummaryOR= 0.4  95% CI ( 0.28,0.57 )
Test for heterogeneity: X^2( 10 ) = 24.9 ( p-value 0.0055 )
Estimated random effects variance: 0.19 
(  1 studies with zero or infinite odds ratio omitted )
Warning message:
In meta.DSL(n.trt, n.ctrl, inf.trt, inf.ctrl, data = catheter, names = Name,  :
  Studies with 0/Inf statistic omitted
Random effects ( DerSimonian-Laird ) meta-analysis
Call: meta.DSL(ntrt = n.trt, nctrl = n.ctrl, ptrt = inf.trt, pctrl = inf.ctrl, 
    names = Name, data = catheter, subset = c(13, 6, 3, 12, 4, 
        11, 1, 14, 8, 10, 2))
Summary OR= 0.61    95% CI ( 0.4, 0.93 )
Estimated random effects variance: 0 
Random effects ( DerSimonian-Laird ) meta-analysis
Call: meta.DSL(ntrt = n.trt, nctrl = n.ctrl, ptrt = inf.trt, pctrl = inf.ctrl, 
    names = Name, data = catheter, subset = c(13, 6, 3, 12, 4, 
        11, 1, 14, 8, 10, 2))
------------------------------------
             OR (lower  95% upper)
Tennenberg 0.57    0.19       1.75
Maki       0.20    0.04       0.94
Hannan     0.60    0.18       2.00
Bach(b)     NaN    0.00        NaN
Heard      0.86    0.26       2.89
Collins    0.35    0.04       3.16
Ciresi     0.95    0.43       2.10
Pemberton  0.82    0.13       5.24
Ramsay     0.23    0.03       2.11
Trazzera   0.63    0.17       2.42
George     0.25    0.02       2.50
------------------------------------
SummaryOR= 0.61  95% CI ( 0.4,0.93 )
Test for heterogeneity: X^2( 9 ) = 5.14 ( p-value 0.8222 )
Estimated random effects variance: 0 
(  1 studies with zero or infinite odds ratio omitted )

rmeta documentation built on May 2, 2019, 1:10 p.m.