Biography

Kym joined the Research Institute for Primary Care and Health Sciences in June 2016, and has an active research and teaching role within the Centre for Prognosis Research. Prior to this she worked at the University of Birmingham in prognostic and diagnostic research.

Kym has a BSc (Hons) in Statistics from the University of Reading and an MSc in Medical Statistics from the University of Leicester. She later completed a PhD at the University of Birmingham in statistical methods for developing and validating prognostic models. She continues to work in the field of prognosis research, with a particular interest in individualised prediction, survival outcomes, and the synthesis of individual participant data (IPD) from multiple studies/sources.

She leads the Centre’s training course on ‘Statistical methods for risk prediction and prognostic models’, and is an Associate Editor of the journal Diagnostic and Prognostic Research. 

Research and scholarship

Kym’s research is currently funded by an NIHR SPCR Launching Fellowship. She is investigating various methodological challenges relating to the use of individual participant data (IPD) from multiple studies or sources for the purpose of developing and validating prediction models. This includes looking at the sample size requirements for prediction modelling studies, handling of missing data across multiple studies, and reporting of systematic reviews and meta-analysis studies for prediction models.

Kym is also involved in a range of applied research projects including IPPIC stillbirth (predicting stillbirth in pregnancy), IPPIC FGR (predicting fetal growth restriction in pregnancy), Back-UP (predicting outcomes in individuals with back and neck pain), STRATIFY-BP (stratifying antihypertensive treatments in multi-morbid hypertensives for personalised management of blood pressure).

Teaching

Kym teaches on courses run at Keele University:

  • Lecturing on the 3-day training course ‘Statistical methods for risk prediction and prognostic models’ that runs twice a year
  • Lecturing on the 3-day training course ‘Prognosis Research Summer School (PROGRESS)’
  • Lecturing on the 3rd year BSc Mathematics module on Medical Statistics
  • Small group teaching on the MBChB

Selected Publications

  • Bonnett LJ, Snell KIE, Collins GS, Riley RD. 2019. Guide to presenting clinical prediction models for use in clinical settings. BMJ, vol. 365, l737. link> doi>
  • Riley RD, Moons KGM, Snell KIE, Ensor J, Hooft L, Altman DG, Hayden J, Collins GS, Debray TPA. 2019. A guide to systematic review and meta-analysis of prognostic factor studies. BMJ, vol. 364, k4597. link> doi> full text>
  • Yu D, Jordan KP, Snell KIE, Riley RD, Bedson J, Edwards JJ, Mallen CD, Tan V, Ukachukwu V, Prieto-Alhambra D, Walker C, Peat G. 2019. Development and validation of prediction models to estimate risk of primary total hip and knee replacements using data from the UK: two prospective open cohorts using the UK Clinical Practice Research Datalink. Ann Rheum Dis, vol. 78(1), 91-99. link> doi> full text>
  • Riley RD, Snell KI, Ensor J, Burke DL, Harrell FE, Moons KG, Collins GS. 2019. Minimum sample size for developing a multivariable prediction model: PART II - binary and time-to-event outcomes. Stat Med, vol. 38(7), 1276-1296. link> doi> full text>
  • Riley RD, Snell KIE, Ensor J, Burke DL, Harrell FE, Moons KGM, Collins GS. 2019. Minimum sample size for developing a multivariable prediction model: Part I - Continuous outcomes. Stat Med, vol. 38(7), 1262-1275. link> doi>

Full Publications List show

Journal Articles

  • Bonnett LJ, Snell KIE, Collins GS, Riley RD. 2019. Guide to presenting clinical prediction models for use in clinical settings. BMJ, vol. 365, l737. link> doi>
  • Riley RD, Moons KGM, Snell KIE, Ensor J, Hooft L, Altman DG, Hayden J, Collins GS, Debray TPA. 2019. A guide to systematic review and meta-analysis of prognostic factor studies. BMJ, vol. 364, k4597. link> doi> full text>
  • Yu D, Jordan KP, Snell KIE, Riley RD, Bedson J, Edwards JJ, Mallen CD, Tan V, Ukachukwu V, Prieto-Alhambra D, Walker C, Peat G. 2019. Development and validation of prediction models to estimate risk of primary total hip and knee replacements using data from the UK: two prospective open cohorts using the UK Clinical Practice Research Datalink. Ann Rheum Dis, vol. 78(1), 91-99. link> doi> full text>
  • Riley RD, Snell KI, Ensor J, Burke DL, Harrell FE, Moons KG, Collins GS. 2019. Minimum sample size for developing a multivariable prediction model: PART II - binary and time-to-event outcomes. Stat Med, vol. 38(7), 1276-1296. link> doi> full text>
  • Riley RD, Snell KIE, Ensor J, Burke DL, Harrell FE, Moons KGM, Collins GS. 2019. Minimum sample size for developing a multivariable prediction model: Part I - Continuous outcomes. Stat Med, vol. 38(7), 1262-1275. link> doi>
  • Yu D, Jordan K, Snell K, Riley R, Bedson J, Edwards J, Mallen C, Tan V, Ukachukwu V, Prieto-Alhambra D, Walker C, Peat G. 2018. Development and validation of prediction models to estimate risk of primary total hip and knee replacements using data from the UK: two prospective open cohorts using the UK Clinical Practice Research Datalink. Annals of the Rheumatic Diseases. doi> full text>
  • Townsend R, Khalil A, Premakumar Y, Allotey J, Snell KIE, Chan C, Chappell LC, Hooper R, Green M, Mol BW, Thilaganathan B, Thangaratinam S, IPPIC Network. 2019. Prediction of pre-eclampsia: review of reviews. Ultrasound Obstet Gynecol, vol. 54(1), 16-27. link> doi> full text>
  • Legha A, Riley RD, Ensor J, Snell KIE, Morris TP, Burke DL. 2018. Individual participant data meta-analysis of continuous outcomes: A comparison of approaches for specifying and estimating one-stage models. Stat Med, vol. 37(29), 4404-4420. link> doi> full text>
  • Debray TP, Damen JA, Riley RD, Snell K, Reitsma JB, Hooft L, Collins GS, Moons KG. 2019. A framework for meta-analysis of prediction model studies with binary and time-to-event outcomes. Stat Methods Med Res, vol. 28(9), 2768-2786. link> doi> full text>
  • Snell KIE, Ward DG, Gordon NS, Goldsmith JC, Sutton AJ, Patel P, James ND, Zeegers MP, Cheng KK, Bryan RT. 2018. Exploring the roles of urinary HAI-1, EpCAM & EGFR in bladder cancer prognosis & risk stratification. Oncotarget, vol. 9(38), 25244-25253. link> doi> full text>
  • Ensor J, Burke DL, Snell KIE, Hemming K, Riley RD. 2018. Simulation-based power calculations for planning a two-stage individual participant data meta-analysis. BMC Med Res Methodol, vol. 18(1), 41. link> doi> full text>
  • Burke DL, Ensor J, Snell KIE, van der Windt D, Riley RD. 2018. Guidance for deriving and presenting percentage study weights in meta-analysis of test accuracy studies. Res Synth Methods, vol. 9(2), 163-178. link> doi> full text>
  • Fouquet G, Snell KI, Guidez S, Schraen S, Boyle E, Renaud L, Desmier D, Machet A, Moya N, Systchenko T, Gruchet C, Decaux O, Arnulf B, Fohrer C, Richez V, Kolb B, Macro M, Karlin L, Royer B, Pegourie B, Hebraud B, Caillot D, Perrot A, Moreau P, Facon T, Avet-Loiseau H, Dejoie T, Hulin C, Harding S, Leleu X. 2018. Heavy + light chain analysis to assign myeloma response is analogous to the IMWG response criteria. Leuk Lymphoma, vol. 59(3), 583-589. link> doi>
  • Snell KI, Ensor J, Debray TP, Moons KG, Riley RD. 2018. Meta-analysis of prediction model performance across multiple studies: Which scale helps ensure between-study normality for the C-statistic and calibration measures?. Stat Methods Med Res, vol. 27(11), 3505-3522. link> doi> full text>
  • Debray TPA, Damen JAAG, Snell KIE, Ensor J, Hooft L, Reitsma JB, Riley RD, Moons KGM. 2017. A guide to systematic review and meta-analysis of prediction model performance. BMJ, vol. 356, i6460. link> doi> full text>
  • Gopalakrishna G, Langendam M, Scholten R, Bossuyt P, Leeflang M, Noel-Storr A, Thomas J, Marshall I, Wallace B, Whiting P, Davenport C, Leeflang M, GopalaKrishna G, de Salis I, Mallett S, Wolff R, Whiting P, Riley R, Westwood M, Kleinen J, Collins G, Reitsma H, Moons K, Zapf A, Hoyer A, Kramer K, Kuss O, Ensor J, Deeks JJ, Martin EC, Riley RD, Rücker G, Steinhauser S, Schumacher M, Riley R, Ensor J, Snell K, Willis B, Debray T, Moons K, Deeks J, Collins G, di Ruffano LF, Willis B, Davenport C, Mallett S, Taylor-Phillips S, Hyde C, Deeks J, Mallett S, Taylor SA, Batnagar G, STREAMLINE COLON Investigators, STREAMLINE LUNG Investigators, METRIC Investigators, Taylor-Phillips S, Di Ruffano LF, Seedat F, Clarke A, Deeks J, Byron S, Nixon F, Albrow R, Walker T, Deakin C, Hyde C, Zhelev Z, Hunt H, di Ruffano LF, Yang Y, Abel L, Buchanan J, Fanshawe T, Shinkins B, Wynants L, Verbakel J, Van Huffel S, Timmerman D, Van Calster B, Leeflang M, Zwinderman A, Bossuyt P, Oke J, O'Sullivan J, Perera R, Nicholson B, Bromley HL, Roberts TE, Francis A, Petrie D, Mann GB, Malottki K, Smith H, Deeks J, Billingham L, Sitch A, Mallett S, Deeks J, Gerke O, Holm-Vilstrup M, Segtnan EA, Halekoh U, Høilund-Carlsen PF, Francq BG, Deeks J, Sitch A, Dinnes J, Parkes J, Gregory W, Hewison J, Altman D, Rosenberg W, Selby P, Asselineau J, Perez P, Paye A, Bessede E, Proust-Lima C, Naaktgeboren C, de Groot J, Rutjes A, Bossuyt P, Reitsma J, Moons K, Collins G, Ogundimu E, Cook J, Le Manach Y, Altman D, Wynants L, Vergouwe Y, Van Huffel S, Timmerman D, Van Calster B, Pajouheshnia R, Groenwold R, Moons K, Reitsma J, Peelen L, Van Calster B, Nieboer D, Vergouwe Y, De Cock B, Pencina MJ, Steyerberg EW, Cooper J, Taylor-Phillips S, Parsons N, Stinton C, Smith S, Dickens A, Jordan R, Enocson A, Fitzmaurice D, Sitch A, Adab P, Francq BG, Boachie C, Vidmar G, Freeman K, Connock M, Taylor-Phillips S, Court R, Clarke A, de Groot J, Naaktgeboren C, Reitsma H, Moons C, Harris J, Mumford A, Plummer Z, Lee K, Reeves B, Rogers C, Verheyden V, Angelini GD, Murphy GJ, Huddy J, Ni M, Good K, Cooke G, Bossuyt P, Hanna G, Ma J, Altman D, Collins G, Moons KGMC, de Groot JAH, Mallett S, Altman DG, Reitsma JB, Collins GS, Moons KGM, Altman DG, Reitsma JB, Collins GS, Kamarudin AN, Kolamunnage-Dona R, Cox T, Ni M, Huddy J, Borsci S, Hanna G, Pérez T, Pardo MC, Candela-Toha A, Muriel A, Zamora J, Sanghera S, Mohiuddin S, Martin R, Donovan J, Coast J, Seo MK, Cairns J, Mitchell E, Smith A, Wright J, Hall P, Messenger M, Calder N, Wickramasekera N, Vinall-Collier K, Lewington A, Pajouheshnia R, Damen J, Groenwold R, Moons K, Peelen L, Messenger M, Cairns D, Smith A, Hutchinson M, Wright J, Hall P, Calder N, Sturgeon C, Mitchel L, Kift R, Christakoudi S, Rungall M, Mobillo P, Montero R, Tsui T-L, Kon SP, Tucker B, Sacks S, Farmer C, Strom T, Chowdhury P, Rebollo-Mesa I, Hernandez-Fuentes M, Damen JAAG, Debray TPA, Heus P, Hooft L, Moons KGM, Pajouheshnia R, Reitsma JB, Scholten RJPM, Damen JAAG, Hooft L, Schuit E, Debray TPA, Collins GS, Tzoulaki I, Lassale CM, Siontis GCM, Chiocchia V, Roberts C, Schlüssel MM, Gerry S, Black JA, Heus P, van der Schouw YT, Peelen LM, Moons KGM, Damen JAAG, Debray TPA, Heus P, Hooft L, Moons KGM, Pajouheshnia R, Reitsma JB, Scholten RJPM, Ma J, Altman D, Collins G, Spence G, McCartney D, van den Bruel A, Lasserson D, Hayward G, Vach W, de Jong A, Burggraaff C, Hoekstra O, Zijlstra J, de Vet H, Hunt H, Hyde C, Graziadio S, Allen J, Johnston L, O'Leary R, Power M, Allen J, Graziadio S, Johnson L, O'Leary R, Power M, Waters R, Simpson J, Johnston L, Allen J, Graziadio S, O'Leary R, Waters R, Power M, Mallett S, Fanshawe TR, Phillips P, Plumb A, Helbren E, Halligan S, Taylor SA, Gale A, Mallett S, Sekula P, Altman DG, Sauerbrei W, Mallett S, Fanshawe TR, Forman JR, Dutton SJ, Takwoingi Y, Hensor EM, Nichols TE, Shinkins B, Yang Y, Abel L, Di Ruffano LF, Fanshawe T, Kempf E, Porcher R, de Beyer J, Moons K, Altman D, Reitsma H, Hopewell S, Sauerbrei W, Collins G, Dennis J, Shields B, Jones A, Henley W, Pearson E, Hattersley A, MASTERMIND consortium, Heus P, Damen JAAG, Pajouheshnia R, Scholten RJPM, Reitsma JB, Collins GS, Altman DG, Moons KGM, Hooft L, Shields B, Dennis J, Jones A, Henley W, Pearson E, Hattersley A, MASTERMIND consortium, Scheibler F, Rummer A, Sturtz S, Großelfinger R, Banister K, Ramsay C, Azuara-Blanco A, Cook J, Boachie C, Burr J, Kumarasamy M, Bourne R, Uchegbu I, Borsci S, Murphy J, Hanna G, Uchegbu I, Carter A, Murphy J, Ni M, Marti J, Eatock J, Uchegbu I, Robotham J, Dudareva M, Gilchrist M, Holmes A, Uchegbu I, Borsci S, Monaghan P, Lord S, StJohn A, Sandberg S, Cobbaert C, Lennartz L, Verhagen-Kamerbeek W, Ebert C, Bossuyt P, Horvath A, Test Evaluation Working Group of the European Federation of Clinical Chemistry and Laboratory Medicine, Jenniskens K, Naaktgeboren C, Reitsma J, Moons K, de Groot J, Hyde C, Peters J, Grigore B, Peters J, Hyde C, Hyde C, Ukoumunne O, Peters J, Zhelev Z, Levis B, Benedetti A, Levis AW, Ioannidis JPA, Shrier I, Cuijpers P, Gilbody S, Kloda LA, McMillan D, Patten SB, Steele RJ, Ziegelstein RC, Bombardier CH, Osório FDL, Fann JR, Gjerdingen D, Lamers F, Lotrakul M, Loureiro SR, Löwe B, Shaaban J, Stafford L, van Weert HCPM, Whooley MA, Williams LS, Wittkampf KA, Yeung AS, Thombs BD, Peters J, Cooper C, Buchanan J, Nieto T, Smith C, Tucker O, Dretzke J, Beggs A, Rai N, Davenport C, Bayliss S, Stevens S, Snell K, Mallet S, Deeks J, Sundar S, Hall E, Porta N, Estelles DL, de Bono J, CTC-STOP protocol development group. 2017. Erratum to: Methods for evaluating medical tests and biomarkers. Diagn Progn Res, vol. 1, 11. link> doi>
  • Allotey J, Snell KIE, Chan C, Hooper R, Dodds J, Rogozinska E, Khan KS, Poston L, Kenny L, Myers J, Thilaganathan B, Chappell L, Mol BW, Von Dadelszen P, Ahmed A, Green M, Poon L, Khalil A, Moons KGM, Riley RD, Thangaratinam S, IPPIC Collaborative Network. 2017. External validation, update and development of prediction models for pre-eclampsia using an Individual Participant Data (IPD) meta-analysis: the International Prediction of Pregnancy Complication Network (IPPIC pre-eclampsia) protocol. Diagn Progn Res, vol. 1, 16. link> doi>
  • Sundar S, Rick C, Dowling F, Au P, Snell K, Rai N, Champaneria R, Stobart H, Neal R, Davenport C, Mallett S, Sutton A, Kehoe S, Timmerman D, Bourne T, Van Calster B, Gentry-Maharaj A, Menon U, Deeks J. 2016. Refining Ovarian Cancer Test accuracy Scores (ROCkeTS): protocol for a prospective longitudinal test accuracy study to validate new risk scores in women with symptoms of suspected ovarian cancer. BMJ open, vol. 6(8), e010333. doi> link> full text>
  • Riley RD, Ensor J, Snell KIE, Debray TPA, Altman DG, Moons KGM, Collins GS. 2016. External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challenges. BMJ, vol. 353, i3140. link> doi> full text>
  • Ensor J, Riley RD, Moore D, Snell KIE, Bayliss S, Fitzmaurice D. 2016. Systematic review of prognostic models for recurrent venous thromboembolism (VTE) post-treatment of first unprovoked VTE. BMJ Open, vol. 6(5), e011190. link> doi> full text>
  • Ensor J, Riley RD, Jowett S, Monahan M, Snell KI, Bayliss S, Moore D, Fitzmaurice D, PIT-STOP collaborative group. 2016. Prediction of risk of recurrence of venous thromboembolism following treatment for a first unprovoked venous thromboembolism: systematic review, prognostic model and clinical decision rule, and economic evaluation. Health Technol Assess, vol. 20(12), i-190. link> doi> full text>
  • Rai N, Champaneria R, Snell K, Mallett S, Bayliss SE, Neal RD, Balogun M, Kehoe S, Deeks JJ, Sundar S, Davenport C. 2015. Symptoms, ultrasound imaging and biochemical markers alone or in combination for the diagnosis of ovarian cancer in women with symptoms suspicious of ovarian cancer. Cochrane Database of Systematic Reviews. doi>
  • Yadav P, Hutchison CA, Basnayake K, Stringer S, Jesky M, Fifer L, Snell K, Pinney J, Drayson MT, Cook M, Cockwell P. 2016. Patients with multiple myeloma have excellent long-term outcomes after recovery from dialysis-dependent acute kidney injury. Eur J Haematol, vol. 96(6), 610-617. link> doi>
  • Snell KIE, Hua H, Debray TPA, Ensor J, Look MP, Moons KGM, Riley RD. 2016. Multivariate meta-analysis of individual participant data helped externally validate the performance and implementation of a prediction model. J Clin Epidemiol, vol. 69, 40-50. link> doi> full text>
  • Alahmar AE, Nelson CP, Snell KIE, Yuyun MF, Musameh MD, Timmis A, Birkhead JS, Chugh SS, Thompson JR, Squire IB, Samani NJ. 2014. Resuscitated cardiac arrest and prognosis following myocardial infarction. Heart, vol. 100(14), 1125-1132. link> doi>
  • Snell K, Billingham L, Stocken D, Riley R. 2013. Challenges in the development of prognostic models utilising clinical trials data. Trials, vol. 14(Suppl 1), P115. doi>
  • McMinn DJW, Snell KIE, Daniel J, Treacy RBC, Pynsent PB, Riley RD. 2012. Mortality and implant revision rates of hip arthroplasty in patients with osteoarthritis: registry based cohort study. BMJ, vol. 344, e3319. link> doi>

Other

  • Beaven A, Toman E, Naumann DN, Snell K, Midwinter MJ. 2016. Role 4 trauma population in the modern era: training for contingency operations. BRITISH JOURNAL OF SURGERY (vol. 103, pp. 206-207). link>
  • Sundar S, Rick C, Dowling F, Au P, Snell K, Rai N, Champaneria R, Neal R, Davenport C, Mallet S, Sutton A, Stobart H, Kehoe S, Timmerman D, Bourne T, Calster BV, Gentry-Maharaj A, Menon U, Deeks J. 2016. Refining Ovarian Cancer Test accuracy Scores (ROCkeTS) trial update. BJOG-AN INTERNATIONAL JOURNAL OF OBSTETRICS AND GYNAECOLOGY (vol. 123, p. 102). link>
  • Rai N, Davenport C, Champaneria R, Snell K, Bayliss S, Stevens S, Neal R, Balogun M, Mallet S, Kehoe S, Deeks J, Sundar S. 2016. Symptoms, ultrasound and biomarkers in combination for the diagnosis of ovarian cancer in women with suspicious symptoms: A systematic review and meta-analysis. BJOG-AN INTERNATIONAL JOURNAL OF OBSTETRICS AND GYNAECOLOGY (vol. 123, pp. 102-103). link>
  • Boyle E, Fouquet G, Lejeune J, Manier S, Musset L, Bories C, Dulery R, Guidez S, Bonnet S, Onraed B, Faucompre J-L, Tricot S, Poulain S, Leblond V, Snell K, Leleu X. 2015. Can Assessment of Patient Monoclonal Immunoglobulins By Heavy/Light Analysis be Used to Assign Patient Responses Analogous to IMWG Response Criteria?. BLOOD (vol. 126). link>
  • Alahmar AE, Snell K, Yunyun MF, Musameh MD, Timmis A, Birkenhead J, Squire I, Samani NJ. 2012. Predictors, in-hospital, short and long term prognosis of cardiac arrest complicating first acute ST elevation myocardial infarction: analysis of national STEMI database. EUROPEAN HEART JOURNAL (vol. 33, p. 45). link>
  • Steadman CD, Razvi NA, Snell KIE, Kuijer JPA, van Rossum AC, McCann GP. 2011. COMPARISON AND REPRODUCIBILITY OF STANDARD AND HIGH TEMPORAL RESOLUTION MYOCARDIAL TISSUE TAGGING IN PATIENTS WITH SEVERE AORTIC STENOSIS. HEART (vol. 97, p. A69). link> doi>