Alcohol {ssifs} | R Documentation |
Stochastic Search Inconsistency Factor Selection of brief alcohol interventions.
Description
Stochastic Search Inconsistency Factor Selection for the evaluation of the consistency assumption for the network meta-analysis model.
These data are used as an example in Seitidis et al. (2021).
Format
A data frame with the following columns:
studyid | study id |
treat1 | treatment 1 |
treat2 | treatment 2 |
m1 | mean value of brief alcohol intervention in arm 1 |
m2 | mean value of brief alcohol intervention in arm 2 |
n1 | number of individuals in arm 1 |
n2 | number of individuals in arm 2 |
sd1 | standard deviation of brief alcohol intervention in arm 1 |
sd2 | standard deviation of brief alcohol intervention in arm 2 |
TE | standardized mean difference of treat1 versus treat2 |
seTE | standard error of standardized mean difference |
Source
Seitidis G, Nikolakopoulos S, Hennessy EA, Tanner-Smith EE, Mavridis D (2021): Network Meta-Analysis Techniques for Synthesizing Prevention Science Evidence Prevention Science, 1-10
Examples
data(Alcohol)
TE <- Alcohol$TE
seTE <- Alcohol$seTE
studlab <- Alcohol$studyid
treat1 <- Alcohol$treat2
treat2 <- Alcohol$treat1
# Stochastic Search Inconsistency Factor Selection using as reference treatment AO-CT and the
# design-by-treatment method for the specification of the Z matrix.
m <- ssifs(TE, seTE, treat1, treat2, studlab, ref = "AO-CT",
M = 1000, B = 100, M_pilot = 1000, B_pilot = 100)
[Package ssifs version 1.0.2 Index]