A sensitivity analysis framework for the
treatment effect measure used in the
meta-analysis of comparative binary
data from randomised controlled trials

Jackson, D; Baker, RD; Bowden, J

doi:10.1002/sim.5591

All Outputs (3)

Optimal betting under parameter uncertainty : improving the Kelly criterion (2013)
Journal Article
Baker, R., & McHale, I. (2013). Optimal betting under parameter uncertainty : improving the Kelly criterion. Decision Analysis, 10(3), 189-199. https://doi.org/10.1287/deca.2013.0271

The Kelly betting criterion ignores uncertainty in the probability of winning the bet and uses an estimated probability. In general, such replacement of population parameters by sample estimates gives poorer out-of-sample than in-sample performance.... Read More about Optimal betting under parameter uncertainty : improving the Kelly criterion.

Meta-analysis inside and outside particle physics: convergence using the path of least resistance? (2013)
Journal Article
particle physics: convergence using the path of least resistance?. Research Synthesis Methods, 4(2), 125-126. https://doi.org/10.1002/jrsm.1079

In this note, we explain how the method proposed by Hartung and Knapp provides a compromise between conventional meta-analysis methodology and ‘unconstrained averaging’, as used by the Particle Data Group

A sensitivity analysis framework for the treatment effect measure used in the meta-analysis of comparative binary data from randomised controlled trials (2013)
Journal Article
data from randomised controlled trials. Statistics in Medicine, 32(6), 931-940. https://doi.org/10.1002/sim.5591

The process of undertaking a meta-analysis involves a sequence of decisions, one of which is deciding which measure of treatment effect to use. In particular, for comparative binary data from randomised controlled trials, a wide variety of measures... Read More about A sensitivity analysis framework for the treatment effect measure used in the meta-analysis of comparative binary data from randomised controlled trials.