Biography

Miriam is a Research Associate in Biostatistics. She completed an undergraduate degree in Mathematics at Keele University in 2014, before undertaking a Masters degree in Medical Statistics at the University of Leicester in 2015. Following this, she returned to Keele to begin her PhD, entitled “Development and application of multivariate meta-analysis in medical research: borrowing of strength across multiple correlated outcomes.” Her research interests lie in meta-analysis with a specific focus on IPD meta-analysis and multivariate meta-analysis. She supports clinical projects in these areas.

Research and scholarship

Miriam's research interests lie in meta-analysis with a specific focus on IPD meta-analysis and multivariate meta-analysis

Selected Publications

  • Albasri A, Hattle M, Koshiaris C, Dunnigan A, Paxton B, Fox SE, Smith M, Archer L, Levis B, Payne RA, Riley RD, Roberts N, Snell KIE, Lay-Flurrie S, Usher-Smith J, Stevens R, Hobbs FDR, McManus RJ, Sheppard JP, STRATIFY investigators. 2021. Association between antihypertensive treatment and adverse events: systematic review and meta-analysis. BMJ, n189, vol. 372. link> doi> full text>
  • Macri EM, Callaghan M, van Middelkoop M, Hattle M, Bierma-Zeinstra SMA. 2021. Effects of mechanical interventions in the management of knee osteoarthritis: protocol for an OA Trial Bank systematic review and individual participant data meta-analysis. BMJ Open, e043026, vol. 11(2). link> doi> full text>
  • Riley RD, Debray TPA, Fisher D, Hattle M, Marlin N, Hoogland J, Gueyffier F, Staessen JA, Wang J, Moons KGM, Reitsma JB, Ensor J. 2020. Individual participant data meta-analysis to examine interactions between treatment effect and participant-level covariates: Statistical recommendations for conduct and planning. Stat Med, 2115-2137, vol. 39(15). link> doi> full text>
  • van der Windt DA, Burke DL, Babatunde O, Hattle M, McRobert C, Littlewood C, Wynne-Jones G, Chesterton L, van der Heijden GJMG, Winters JC, Rhon DI, Bennell K, Roddy E, Heneghan C, Beard D, Rees JL, Riley RD. 2019. Predictors of the effects of treatment for shoulder pain: protocol of an individual participant data meta-analysis. Diagn Progn Res, 15, vol. 3. link> doi> full text>

Full Publications Listshow

Journal Articles

  • Albasri A, Hattle M, Koshiaris C, Dunnigan A, Paxton B, Fox SE, Smith M, Archer L, Levis B, Payne RA, Riley RD, Roberts N, Snell KIE, Lay-Flurrie S, Usher-Smith J, Stevens R, Hobbs FDR, McManus RJ, Sheppard JP, STRATIFY investigators. 2021. Association between antihypertensive treatment and adverse events: systematic review and meta-analysis. BMJ, n189, vol. 372. link> doi> full text>
  • Macri EM, Callaghan M, van Middelkoop M, Hattle M, Bierma-Zeinstra SMA. 2021. Effects of mechanical interventions in the management of knee osteoarthritis: protocol for an OA Trial Bank systematic review and individual participant data meta-analysis. BMJ Open, e043026, vol. 11(2). link> doi> full text>
  • Riley RD, Debray TPA, Fisher D, Hattle M, Marlin N, Hoogland J, Gueyffier F, Staessen JA, Wang J, Moons KGM, Reitsma JB, Ensor J. 2020. Individual participant data meta-analysis to examine interactions between treatment effect and participant-level covariates: Statistical recommendations for conduct and planning. Stat Med, 2115-2137, vol. 39(15). link> doi> full text>
  • van der Windt DA, Burke DL, Babatunde O, Hattle M, McRobert C, Littlewood C, Wynne-Jones G, Chesterton L, van der Heijden GJMG, Winters JC, Rhon DI, Bennell K, Roddy E, Heneghan C, Beard D, Rees JL, Riley RD. 2019. Predictors of the effects of treatment for shoulder pain: protocol of an individual participant data meta-analysis. Diagn Progn Res, 15, vol. 3. link> doi> full text>