Email Address: email@example.com
Other Research Theme Collaborations: COLD
I completed my PhD entitled, “Incorporating external evidence on heterogeneity in meta-analysis”, here at the MRC Biostatistics Unit in April 2015, under the supervision of Rebecca Turner and Julian Higgins. Heterogeneity is poorly estimated in many meta-analyses, especially those with only a small number of studies. My PhD research investigated and developed methods to facilitate Bayesian meta-analysis, in a form that can be made available to applied researchers, which allow relevant empirical evidence on the extent of heterogeneity to be incorporated. My current research involves both the development of new methodology and the application of new and existing methods to the analysis of data arising from collaborations with medical and epidemiological investigators. In collaboration with the University of Bristol, I contribute to the development of methods of adjusting for within-study biases in meta-analysis. In collaboration with the University of Cambridge, I am involved with the statistical analysis of large patient-level routine clinical datasets, examining amongst other things the long-term outcomes and health service utilisation of patients.
Selected PapersRhodes, KM., Turner, RM., White, IR., Jackson, D., Spiegelhalter, DJ., Higgins, JPT. (2016)Implementing informative priors for heterogeneity in meta-analysis using meta-regression and pseudo data.
Stat Med. : Epub ahead of print
Rhodes, KM., Turner, RM., Higgins, JPT. (2015)Empirical evidence about inconsistency among studies in a pair-wise meta-analysis.
Res Synth Methods : Epub ahead of print
Rhodes, KM., Turner, RM., Higgins, JPT. (2015)Predictive distributions were developed for the extent of heterogeneity in meta-analyses of continuous outcome data.
J Clin Epidemiol 68(1): 52-60