Description Usage Arguments Details Value Author(s) References See Also Examples
Conversion from log odds ratio to standardised mean difference using method by Hasselblad & Hedges (1995) or Cox (1970).
1 2 3 4 5 6 7 8 9 10 
lnOR 
Log odds ratio(s) or metaanalysis 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 metaanalysis, 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
metaanalysis with the standardised mean difference as summary
measure.
Argument lnOR
can be either a vector of log odds ratios or a
metaanalysis 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 "meta"
and "metagen"
; see
metagen
.
Guido Schwarzer sc@imbi.unifreiburg.de
Borenstein M, Hedges LV, Higgins JPT, Rothstein HR (2009): Introduction to MetaAnalysis. 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): Metaanalysis of screening and diagnostic tests. Psychological Bulletin, 117, 167–78
smd2or
, metabin
,
metagen
, metacont
1 2 3 4 5 6 7 8 9 10 11 12 13 14  # 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", comb.random = FALSE)
or2smd(m1)

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