| dat.sc | R Documentation |
An illustrative example of network meta-analysis with a binary outcome.
data("dat.sc")
A data frame containing 24 studies and 4 treatments, with the following 4 variables.
sida numeric vector indicating study IDs.
tida numeric vector indicating treatment IDs.
ea numeric vector indicating event counts.
na numeric vector indicating sample sizes.
The dataset was originally reported by Hasselblad (1998) and reanalyzed by Lu and Ades (2006) using formal network meta-analysis methods. It investigates the effects of four treatments on smoking cessation, including 1) no contact; 2) self-help; 3) individual counseling; and 4) group counseling. The outcome is binary, which is the smoking cessation status (yes or no) of a participant after treatment.
Hasselblad V (1998). "Meta-analysis of multitreatment studies." Medical Decision Making, 18(1), 37–43. <\Sexpr[results=rd]{tools:::Rd_expr_doi("10.1177/0272989X9801800110")}>
Lu G, Ades AE (2006). "Assessing evidence inconsistency in mixed treatment comparisons." Journal of the American Statistical Association, 101(474), 447–59. <\Sexpr[results=rd]{tools:::Rd_expr_doi("10.1198/016214505000001302")}>
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