Biography

Lucinda completed a BSc Mathematics followed by an MSc Operational Research and Applied Statistics, both at Cardiff University.

Lucinda previously held a post in the Institute of Applied Health Research at the University of Birmingham, where she was employed under an NIHR Research Methods Fellowship. During this time, she completed an MPH in Public Health and worked on projects focused within the fields of prognostic and diagnostic research.

She continues to work in the field of prognosis research and is completing her PhD part time in the application and development of statistical methods for prognostic modelling.

Research and scholarship

Lucinda's research interests lie in the application and development of statistical methods for prognostic modelling.

Selected Publications

  • Riley RD, Collins GS, Ensor J, Archer L, Booth S, Mozumder SI, Rutherford MJ, van Smeden M, Lambert PC, Snell KIE. 2022. Minimum sample size calculations for external validation of a clinical prediction model with a time-to-event outcome. Stat Med, 1280-1295, vol. 41(7). link> doi> full text>
  • Wynne-Jones G, Archer L, Snell KIE, Stynes S, Dunn KM, Foster NE, van der Windt DA, Hill JC. 2021. The development of individualised work absence prediction models in patients with neck and/or low back pain. Physiotherapy, e35, vol. 113(S1). link> doi> link> full text>
  • Halligan S, Boone D, Archer L, Ahmad T, Bloom S, Rodriguez-Justo M, Taylor SA, Mallett S. Prognostic biomarkers to identify patients likely to develop severe Crohn’s disease: a systematic review. Health Technology Assessment, 1-66, vol. 25(45). doi> full text>
  • Riley RD, Debray TPA, Collins GS, Archer L, Ensor J, van Smeden M, Snell KIE. 2021. Minimum sample size for external validation of a clinical prediction model with a binary outcome. Statistics in Medicine, 4230-4251, vol. 40(19). link> doi> link> full text>
  • Parker SG, Mallett S, Quinn L, Wood CPJ, Boulton RW, Jamshaid S, Erotocritou M, Gowda S, Collier W, Plumb AAO, Windsor ACJ, Archer L, Halligan S. 2021. Identifying predictors of ventral hernia recurrence: systematic review and meta-analysis. BJS Open, vol. 5(2). link> doi> link> full text>

Full Publications Listshow

Journal Articles

  • Riley RD, Collins GS, Ensor J, Archer L, Booth S, Mozumder SI, Rutherford MJ, van Smeden M, Lambert PC, Snell KIE. 2022. Minimum sample size calculations for external validation of a clinical prediction model with a time-to-event outcome. Stat Med, 1280-1295, vol. 41(7). link> doi> full text>
  • Wynne-Jones G, Archer L, Snell KIE, Stynes S, Dunn KM, Foster NE, van der Windt DA, Hill JC. 2021. The development of individualised work absence prediction models in patients with neck and/or low back pain. Physiotherapy, e35, vol. 113(S1). link> doi> link> full text>
  • Halligan S, Boone D, Archer L, Ahmad T, Bloom S, Rodriguez-Justo M, Taylor SA, Mallett S. Prognostic biomarkers to identify patients likely to develop severe Crohn’s disease: a systematic review. Health Technology Assessment, 1-66, vol. 25(45). doi> full text>
  • Riley RD, Debray TPA, Collins GS, Archer L, Ensor J, van Smeden M, Snell KIE. 2021. Minimum sample size for external validation of a clinical prediction model with a binary outcome. Statistics in Medicine, 4230-4251, vol. 40(19). link> doi> link> full text>
  • Parker SG, Mallett S, Quinn L, Wood CPJ, Boulton RW, Jamshaid S, Erotocritou M, Gowda S, Collier W, Plumb AAO, Windsor ACJ, Archer L, Halligan S. 2021. Identifying predictors of ventral hernia recurrence: systematic review and meta-analysis. BJS Open, vol. 5(2). link> doi> link> full text>
  • Snell KI, Archer L, Ensor J, Bonnett LJ, Debray TP, Phillips B, Collins GS, Riley RD. 2021. External validation of clinical prediction models: simulation-based sample size calculations were more reliable than rules-of-thumb. Journal of Clinical Epidemiology, 79-89, vol. 135. link> doi> link> full text>
  • 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> link> full text>
  • Archer L, Snell KIE, Ensor J, Hudda MT, Collins GS, Riley RD. 2021. Minimum sample size for external validation of a clinical prediction model with a continuous outcome. Statistics in Medicine, 133-146, vol. 40(1). doi> link> full text>
  • Riley R, Snell K, Martin G, Whittle R, Archer L, Sperrin M, Collins G. 2021. Penalisation and shrinkage methods can produce unreliable clinical prediction models especially when sample size is small. Journal of Clinical Epidemiology, 88-96, vol. 132. doi> link> full text>
  • Parker SG, Halligan S, Blackburn S, Plumb A, Archer L, Mallet S, Windsor CJ. 2018. What exactly is meant by ‘‘Loss of Domain’’ for ventral hernia? Systematic Review of Definitions. World Journal of Surgery, 396-404, vol. 43(2). doi> link> full text>
  • Mehanna HM, Brooks J, Menezes A, Ibrahim M, Lal N, Archer L, von Zeidler S, Bao R, Khattri A, Valentine H, Spruce R, Batis N, Bryant J, Beggs AD, Tennant D, West C, Middleton GW, Cazier JB, Willcox B, Seiwert T. 2018. Development and validation of a combined metabolic and immune prognostic classifier for head and neck cancer. Journal of Clinical Oncology, 6049, vol. 36. doi>

Other

  • Mehanna HM, Brooks J, Menezes A, Ibrahim M, Lal N, Archer L, von Zeidler S, Bao R, Khattri A, Valentine H, Spruce R, Batis N, Bryant J, Beggs AD, Tennant D, West C, Moddleton GW, Cazier JB, Willcox B, Seiwert TY. Development and validation of a combined metabolic and immune prognostic classifier for head and neck cancer.
  • Archer L, Boone D, Taylor SA, Ahmed T, Bloom S, Rodriquez-Justo M, Halligan S, Mallet S. Selecting biomarkers for evaluation in a prognostic systematic review: a case study from Crohn’s disease.
  • Deeks J, Archer L, Hanley K, Hewitt C, Marchevsky N, Mehta S, Quinn L, Sitch A, Sun Y, Takwoingi Y. How accurately do trialists pre-specify sample sizes for test evaluation trials? The experience in NIHR funded trials in the HTA and EME programmes.

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