or2smd | R Documentation |
Conversion from log odds ratio to standardised mean difference using method by Hasselblad & Hedges (1995) or Cox (1970).
or2smd(
lnOR,
selnOR,
studlab,
data = NULL,
subset = NULL,
exclude = NULL,
method = "HH",
...
)
lnOR |
Log odds ratio(s) or meta-analysis object. |
selnOR |
Standard error(s) of log odds ratio(s) (ignored if
argument |
studlab |
An optional vector with study labels (ignored if
argument |
data |
An optional data frame containing the study information
(ignored if argument |
subset |
An optional vector specifying a subset of studies to
be used (ignored if argument |
exclude |
An optional vector specifying studies to exclude
from meta-analysis, however, to include in printouts and forest
plots (ignored if argument |
method |
A character string indicating which method is used to
convert log odds ratios to standardised mean differences. Either
|
... |
Additional arguments passed on to
|
This function implements the following methods for the conversion from log odds ratios to standardised mean difference:
Hasselblad & Hedges (1995) assuming logistic distributions
(method == "HH"
)
Cox (1970) and Cox & Snell (1989) assuming normal
distributions (method == "CS"
)
Internally, metagen
is used to conduct a
meta-analysis with the standardised mean difference as summary
measure.
Argument lnOR
can be either a vector of log odds ratios or a
meta-analysis object created with metabin
or
metagen
and the odds ratio as summary measure.
Argument selnOR
is mandatory if argument lnOR
is a
vector and ignored otherwise. Additional arguments in ...
are only passed on to metagen
if argument lnOR
is a vector.
An object of class c("metagen", "meta")
with corresponding
generic functions (see meta-object
).
Guido Schwarzer guido.schwarzer@uniklinik-freiburg.de
Borenstein M, Hedges LV, Higgins JPT, Rothstein HR (2009): Introduction to Meta-Analysis. Chichester: Wiley
Cox DR (1970): Analysis of Binary Data. London: Chapman and Hall / CRC
Cox DR, Snell EJ (1989): Analysis of Binary Data (2nd edition). London: Chapman and Hall / CRC
Hasselblad V, Hedges LV (1995): Meta-analysis of screening and diagnostic tests. Psychological Bulletin, 117, 167–78
smd2or
, metabin
,
metagen
, metacont
# Example from Borenstein et al. (2009), Chapter 7
#
mb <- or2smd(0.9069, sqrt(0.0676))
# TE = standardised mean difference (SMD); seTE = standard error of SMD
data.frame(SMD = round(mb$TE, 4), varSMD = round(mb$seTE^2, 4))
# Use dataset from Fleiss (1993)
#
data(Fleiss1993bin)
m1 <- metabin(d.asp, n.asp, d.plac, n.plac,
data = Fleiss1993bin, studlab = paste(study, year),
sm = "OR", random = FALSE)
or2smd(m1)
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