Count statistics of survival data
Count mortality statistics in randomised controlled trials of treatments for chronic obstructive pulmonary disease (Woods et al. (2010), Table 1).
A data frame with the following columns:
author | first author / study name |
treatment | treatment |
r | number of deaths in treatment arm |
N | number of patients in treatment arm |
Woods BS, Hawkins N, Scott DA (2010): Network meta-analysis on the log-hazard scale, combining count and hazard ratio statistics accounting for multi-arm trials: A tutorial. BMC Medical Research Methodology, 10, 54
data(Woods2010) # Transform data from long arm-based format to contrast-based # format Argument 'sm' has to be used for odds ratio as summary # measure; by default the risk ratio is used in the metabin # function called internally. # p1 <- pairwise(treatment, event = r, n = N, studlab = author, data = Woods2010, sm = "OR") p1 # Conduct network meta-analysis # net1 <- netmeta(p1) net1 ## Not run: # Show forest plot # forest(net1, ref = "Placebo", drop = TRUE, leftlabs = "Contrast to Placebo") ## End(Not run)
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