Journal Articles

• Snell KIE, Levis B, Damen JAA, Dhiman P, Debray TPA, Hooft L, Reitsma JB, Moons KGM, Collins GS, Riley RD. 2023. Transparent reporting of multivariable prediction models for individual prognosis or diagnosis: checklist for systematic reviews and meta-analyses (TRIPOD-SRMA). BMJ, e073538, vol. 381. link> doi>
• Debray TPA, Collins GS, Riley RD, Snell KIE, Van Calster B, Reitsma JB, Moons KGM. 2023. Transparent reporting of multivariable prediction models developed or validated using clustered data (TRIPOD-Cluster): explanation and elaboration. BMJ, e071058, vol. 380. link> doi>
• Debray TPA, Collins GS, Riley RD, Snell KIE, Van Calster B, Reitsma JB, Moons KGM. 2023. Transparent reporting of multivariable prediction models developed or validated using clustered data: TRIPOD-Cluster checklist. BMJ, e071018, vol. 380. link> doi> full text>
• Koshiaris C, Archer L, Lay-Flurrie S, Snell KI, Riley RD, Stevens R, Banerjee A, Usher-Smith JA, Clegg A, Payne RA, Ogden M, Hobbs FR, McManus RJ, Sheppard JP. 2023. Predicting the risk of acute kidney injury in primary care: derivation and validation of STRATIFY-AKI. Br J Gen Pract. link> doi>
• Dinh TS, Meid AD, Rudolf H, Brueckle M-S, González-González AI, Bencheva V, Gogolin M, Snell KIE, Elders PJM, Thuermann PA, Donner-Banzhoff N, Blom JW, van den Akker M, Gerlach FM, Harder S, Thiem U, Glasziou PP, Haefeli WE, Muth C. 2023. Anticholinergic burden measures, symptoms, and fall-associated risk in older adults with polypharmacy: Development and validation of a prognostic model. PLoS One, e0280907, vol. 18(1). link> doi>
• Nagington A, Foster NE, Snell K, Konstantinou K, Stynes S. 2023. Prognostic factors associated with outcome following an epidural steroid injection for disc-related sciatica: a systematic review and narrative synthesis. Eur Spine J, 1029-1053, vol. 32(3). link> doi>
• Sheikh J, Allotey J, Kew T, Fernández-Félix BM, Zamora J, Khalil A, Thangaratinam S, IPPIC Collaborative Network. 2022. Effects of race and ethnicity on perinatal outcomes in high-income and upper-middle-income countries: an individual participant data meta-analysis of 2 198 655 pregnancies. Lancet, 2049-2062, vol. 400(10368). link> doi>
• Archer L, Koshiaris C, Lay-Flurrie S, Snell KIE, Riley RD, Stevens R, Banerjee A, Usher-Smith JA, Clegg A, Payne RA, Hobbs FDR, McManus RJ, Sheppard JP, STRAtifying Treatments In the multi-morbid Frail elderlY (STRATIFY) investigators. 2022. Development and external validation of a risk prediction model for falls in patients with an indication for antihypertensive treatment: retrospective cohort study. BMJ, e070918, vol. 379. link> doi> full text>
• Haider S, Subramanian A, Adderley N, Snell K, Toulis K, Moore D, Nirantharan K, Price MPM. 2022. Diabetic Retinopathy Progression from referral to treatment or vision loss: Development and Internal Validation of a Multivariable Prediction Model. doi>
• Davenport CF, Rai N, Sharma P, Deeks J, Berhane S, Mallett S, Saha P, Solanki R, Bayliss S, Snell K, Sundar S. 2022. Diagnostic Models Combining Clinical Information, Ultrasound and Biochemical Markers for Ovarian Cancer: Cochrane Systematic Review and Meta-Analysis. Cancers (Basel), vol. 14(15). link> doi> full text>
• Davenport C, Rai N, Sharma P, Deeks JJ, Berhane S, Mallett S, Saha P, Champaneria R, Bayliss SE, Snell KI, Sundar S. 2022. Menopausal status, ultrasound and biomarker tests in combination for the diagnosis of ovarian cancer in symptomatic women. Cochrane Database Syst Rev, CD011964, vol. 7(7). link> doi> full text>
• Archer L, Koshiaris C, Snell Ie K, Riley RD, Stevens R, Hobbs FR, McManus RJ, Sheppard JP. 2022. PREDICTING THE RISK OF FALLS IN PATIENTS WITH AN INDICATION FOR ANTIHYPERTENSIVE TREATMENT: DEVELOPMENT AND VALIDATION OF THE STRATIFY-FALLS PREDICTION MODEL. J Hypertens, e76, vol. 40(Suppl 1). link> doi>
• van Geloven N, Giardiello D, Bonneville EF, Teece L, Ramspek CL, van Smeden M, Snell KIE, van Calster B, Pohar-Perme M, Riley RD, Putter H, Steyerberg E, STRATOS initiative. 2022. Validation of prediction models in the presence of competing risks: a guide through modern methods. BMJ, e069249, vol. 377. link> doi> full text>
• Allotey J, Whittle R, Snell KIE, Smuk M, Townsend R, von Dadelszen P, Heazell AEP, Magee L, Smith GCS, Sandall J, Thilaganathan B, Zamora J, Riley RD, Khalil A, Thangaratinam S, IPPIC Collaborative Network. 2022. External validation of prognostic models to predict stillbirth using International Prediction of Pregnancy Complications (IPPIC) Network database: individual participant data meta-analysis. Ultrasound Obstet Gynecol, 209-219, vol. 59(2). link> doi> full text>
• Moriarty AS, Meader N, Snell KIE, Riley RD, Paton LW, Dawson S, Hendon J, Chew-Graham CA, Gilbody S, Churchill R, Phillips RS, Ali S, McMillan D. 2022. Predicting relapse or recurrence of depression: systematic review of prognostic models. Br J Psychiatry, 448-458, vol. 221(2). link> doi> full text>
• Ramspek CL, Teece L, Snell KIE, Evans M, Riley RD, van Smeden M, van Geloven N, van Diepen M. 2022. Lessons learnt when accounting for competing events in the external validation of time-to-event prognostic models. Int J Epidemiol, 615-625, vol. 51(2). link> doi> full text>
• 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>
• Meid AD, Gonzalez-Gonzalez AI, Dinh TS, Blom J, van den Akker M, Elders P, Thiem U, Küllenberg de Gaudry D, Swart KMA, Rudolf H, Bosch-Lenders D, Trampisch HJ, Meerpohl JJ, Gerlach FM, Flaig B, Kom G, Snell KIE, Perera R, Haefeli WE, Glasziou P, Muth C. 2021. Predicting hospital admissions from individual patient data (IPD): an applied example to explore key elements driving external validity. BMJ Open, e045572, vol. 11(8). link> doi> full text>
• Moriarty AS, Paton LW, Snell KIE, Riley RD, Buckman JEJ, Gilbody S, Chew-Graham CA, Ali S, Pilling S, Meader N, Phillips B, Coventry PA, Delgadillo J, Richards DA, Salisbury C, McMillan D. 2021. The development and validation of a prognostic model to PREDICT Relapse of depression in adult patients in primary care: protocol for the PREDICTR study. Diagn Progn Res, 12, vol. 5(1). link> 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. Stat Med, 4230-4251, vol. 40(19). link> doi> full text>
• Moriarty AS, Meader N, Snell KI, Riley RD, Paton LW, Chew-Graham CA, Gilbody S, Churchill R, Phillips RS, Ali S, McMillan D. 2021. Prognostic models for predicting relapse or recurrence of major depressive disorder in adults. Cochrane Database Syst Rev, CD013491, vol. 5(5). link> doi> full text>
• Takada T, Nijman S, Denaxas S, Snell KIE, Uijl A, Nguyen T-L, Asselbergs FW, Debray TPA. 2021. Internal-external cross-validation helped to evaluate the generalizability of prediction models in large clustered datasets. J Clin Epidemiol, 83-91, vol. 137. link> doi> full text>
• Ensor J, Snell KIE, Debray TPA, Lambert PC, Look MP, Mamas MA, Moons KGM, Riley RD. 2021. Individual participant data meta-analysis for external validation, recalibration, and updating of a flexible parametric prognostic model. Stat Med, 3066-3084, vol. 40(13). link> doi> full text>
• Martin GP, Sperrin M, Snell KIE, Buchan I, Riley RD. 2021. Authors' reply to Sabour and Ghajari "Clinical prediction models to predict the risk of multiple binary outcomes: Methodological issues". Stat Med, 1861-1862, vol. 40(7). link> doi>
• González-González AI, Dinh TS, Meid AD, Blom JW, van den Akker M, Elders PJM, Thiem U, Kuellenberg de Gaudry D, Snell KIE, Perera R, Swart KMA, Rudolf H, Bosch-Lenders D, Trampisch H-J, Meerpohl JJ, Flaig B, Kom G, Gerlach FM, Hafaeli WE, Glasziou PP, Muth C. 2021. Predicting negative health outcomes in older general practice patients with chronic illness: Rationale and development of the PROPERmed harmonized individual participant data database. Mech Ageing Dev, 111436, vol. 194. link> doi> full text>
• Snell KIE, Archer L, Ensor J, Bonnett LJ, Debray TPA, 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. J Clin Epidemiol, 79-89, vol. 135. link> doi> 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> 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. Stat Med, 133-146, vol. 40(1). link> doi> full text>
• Dinh TS, González-González AI, Meid AD, Snell KIE, Rudolf H, Brueckle M-S, Blom JW, Thiem U, Trampisch H-J, Elders PJM, Donner-Banzhoff N, Gerlach FM, Harder S, van den Akker M, Glasziou PP, Haefeli WE, Muth C. 2020. Are Anticholinergic Symptoms a Risk Factor for Falls in Older General Practice Patients With Polypharmacy? Study Protocol for the Development and Validation of a Prognostic Model. Front Pharmacol, 577747, vol. 11. link> doi> full text>
• Riley RD, Snell KIE, Martin GP, Whittle R, Archer L, Sperrin M, Collins GS. 2021. Penalization and shrinkage methods produced unreliable clinical prediction models especially when sample size was small. J Clin Epidemiol, 88-96, vol. 132. link> doi> full text>
• Allotey J, Snell KI, Smuk M, Hooper R, Chan CL, Ahmed A, Chappell LC, von Dadelszen P, Dodds J, Green M, Kenny L, Khalil A, Khan KS, Mol BW, Myers J, Poston L, Thilaganathan B, Staff AC, Smith GC, Ganzevoort W, Laivuori H, Odibo AO, Ramírez JA, Kingdom J, Daskalakis G, Farrar D, Baschat AA, Seed PT, Prefumo F, da Silva Costa F, Groen H, Audibert F, Masse J, Skråstad RB, Salvesen KÅ, Haavaldsen C, Nagata C, Rumbold AR, Heinonen S, Askie LM, Smits LJ, Vinter CA, Magnus PM, Eero K, Villa PM, Jenum AK, Andersen LB, Norman JE, Ohkuchi A, Eskild A, Bhattacharya S, McAuliffe FM, Galindo A, Herraiz I, Carbillon L, Klipstein-Grobusch K, Yeo S, Teede HJ, Browne JL, Moons KG, Riley RD, Thangaratinam S. 2020. Validation and development of models using clinical, biochemical and ultrasound markers for predicting pre-eclampsia: an individual participant data meta-analysis. Health Technol Assess, 1-252, vol. 24(72). link> doi> full text>
• Snell KIE, Allotey J, Smuk M, Hooper R, Chan C, Ahmed A, Chappell LC, Von Dadelszen P, Green M, Kenny L, Khalil A, Khan KS, Mol BW, Myers J, Poston L, Thilaganathan B, Staff AC, Smith GCS, Ganzevoort W, Laivuori H, Odibo AO, Arenas Ramírez J, Kingdom J, Daskalakis G, Farrar D, Baschat AA, Seed PT, Prefumo F, da Silva Costa F, Groen H, Audibert F, Masse J, Skråstad RB, Salvesen KÅ, Haavaldsen C, Nagata C, Rumbold AR, Heinonen S, Askie LM, Smits LJM, Vinter CA, Magnus P, Eero K, Villa PM, Jenum AK, Andersen LB, Norman JE, Ohkuchi A, Eskild A, Bhattacharya S, McAuliffe FM, Galindo A, Herraiz I, Carbillon L, Klipstein-Grobusch K, Yeo SA, Browne JL, Moons KGM, Riley RD, Thangaratinam S, IPPIC Collaborative Network. 2020. External validation of prognostic models predicting pre-eclampsia: individual participant data meta-analysis. BMC Med, 302, vol. 18(1). link> doi> full text>
• Martin GP, Sperrin M, Snell KIE, Buchan I, Riley RD. 2021. Clinical prediction models to predict the risk of multiple binary outcomes: a comparison of approaches. Stat Med, 498-517, vol. 40(2). link> doi> full text>
• González-González AI, Meid AD, Dinh TS, Blom JW, van den Akker M, Elders PJM, Thiem U, De Gaudry DK, Swart KMA, Rudolf H, Bosch-Lenders D, Trampisch H-J, Meerpohl JJ, Gerlach FM, Flaig B, Kom G, Snell KIE, Perera R, Haefeli WE, Glasziou PP, Muth C. 2021. A prognostic model predicted deterioration in health-related quality of life in older patients with multimorbidity and polypharmacy. J Clin Epidemiol, 1-12, vol. 130. link> doi> full text>
• Townsend R, Manji A, Allotey J, Heazell A, Jorgensen L, Magee LA, Mol BW, Snell K, Riley RD, Sandall J, Smith G, Patel M, Thilaganathan B, von Dadelszen P, Thangaratinam S, Khalil A. 2021. Can risk prediction models help us individualise stillbirth prevention? A systematic review and critical appraisal of published risk models. BJOG, 214-224, vol. 128(2). link> doi> full text>
• Wynants L, Van Calster B, Collins GS, Riley RD, Heinze G, Schuit E, Albu E, Arshi B, Bellou V, Bonten MMJ, Dahly DL, Damen JA, Debray TPA, de Jong VMT, De Vos M, Dhiman P, Ensor J, Gao S, Haller MC, Harhay MO, Henckaerts L, Heus P, Hoogland J, Hudda M, Jenniskens K, Kammer M, Kreuzberger N, Lohmann A, Levis B, Luijken K, Ma J, Martin GP, McLernon DJ, Navarro CLA, Reitsma JB, Sergeant JC, Shi C, Skoetz N, Smits LJM, Snell KIE, Sperrin M, Spijker R, Steyerberg EW, Takada T, Tzoulaki I, van Kuijk SMJ, van Bussel BCT, van der Horst ICC, Reeve K, van Royen FS, Verbakel JY, Wallisch C, Wilkinson J, Wolff R, Hooft L, Moons KGM, van Smeden M. 2020. Update to living systematic review (vol 369, m1328, 2020). BMJ-BRITISH MEDICAL JOURNAL, Article ARTN m2204, vol. 369. link> doi>
• Riley RD, Legha A, Jackson D, Morris TP, Ensor J, Snell KIE, White IR, Burke DL. 2020. One-stage individual participant data meta-analysis models for continuous and binary outcomes: Comparison of treatment coding options and estimation methods. Stat Med, 2536-2555, vol. 39(19). link> doi> full text>
• Wynants L, Van Calster B, Collins GS, Riley RD, Heinze G, Schuit E, Bonten MMJ, Dahly DL, Damen JAA, Debray TPA, de Jong VMT, De Vos M, Dhiman P, Haller MC, Harhay MO, Henckaerts L, Heus P, Kammer M, Kreuzberger N, Lohmann A, Luijken K, Ma J, Martin GP, McLernon DJ, Andaur Navarro CL, Reitsma JB, Sergeant JC, Shi C, Skoetz N, Smits LJM, Snell KIE, Sperrin M, Spijker R, Steyerberg EW, Takada T, Tzoulaki I, van Kuijk SMJ, van Bussel B, van der Horst ICC, van Royen FS, Verbakel JY, Wallisch C, Wilkinson J, Wolff R, Hooft L, Moons KGM, van Smeden M. 2020. Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal. BMJ, m1328, vol. 369. link> doi> full text>
• Wynants L, Van Calster B, Bonten MMJ, Collins G, Debray TPA, De Vos M, Haller M, Heinze G, Moons KGM, Riley R, Schuit E, Smits LJM, Snell KIE, Steyerberg E, Wallisch C, van Smeden M. 2020. Systematic review and critical appraisal of prediction models for diagnosis and prognosis of COVID-19 infection. doi>
• Riley RD, Ensor J, Snell KIE, Harrell FE, Martin GP, Reitsma JB, Moons KGM, Collins G, van Smeden M. 2020. Calculating the sample size required for developing a clinical prediction model. BMJ, m441, vol. 368. link> doi> full text>
• Robinson R, Walker KF, White VA, Bugg GJ, Snell KIE, Jones NW. 2020. The test accuracy of antenatal ultrasound definitions of fetal macrosomia to predict birth injury: A systematic review. Eur J Obstet Gynecol Reprod Biol, 79-85, vol. 246. link> doi> full text>
• Bonnett LJ, Snell KIE, Collins GS, Riley RD. 2019. Guide to presenting clinical prediction models for use in clinical settings. BMJ, l737, vol. 365. link> doi> full text>
• 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, k4597, vol. 364. 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, 91-99, vol. 78(1). 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, 1276-1296, vol. 38(7). 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, 1262-1275, vol. 38(7). link> doi> full text>
• 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, 16-27, vol. 54(1). 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, 4404-4420, vol. 37(29). 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, 2768-2786, vol. 28(9). 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, 25244-25253, vol. 9(38). 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, 41, vol. 18(1). 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, 163-178, vol. 9(2). link> doi> full text>
• 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, 16, vol. 1. 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, 583-589, vol. 59(3). 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, 3505-3522, vol. 27(11). 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, 11, vol. 1. link> doi>
• 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, i6460, vol. 356. link> doi> full text>
• 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, e010333, vol. 6(8). 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, i3140, vol. 353. 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, e011190, vol. 6(5). 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, i-190, vol. 20(12). 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. The Cochrane database of systematic reviews, vol. 2015(12). 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, 610-617, vol. 96(6). 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, 40-50, vol. 69. 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, 1125-1132, vol. 100(14). link> doi>
• Snell K, Billingham L, Stocken D, Riley R. 2013. Challenges in the development of prognostic models utilising clinical trials data. Trials, P115, vol. 14(Suppl 1). 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, e3319, vol. 344. link> doi>
• 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. Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance, P311, vol. 13(Suppl 1). doi> full text>

Other

• Wang Z, Snell KIE, Peat G, Zhao Z, Yu D. 2019. IS MEAN CORPUSCULAR HAEMOGLOBIN CONCENTRATION OVER TIME A PREDICTOR OF DIABETIC NEPHROPATHY IN TYPE 2 DIABETES? FINDINGS FROM A NESTED CASE-CONTROL STUDY. NEPHROLOGY DIALYSIS TRANSPLANTATION (vol. 34). link> full text>
• 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 (pp. 206-207, vol. 103). 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 (p. 102, vol. 123). 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 (pp. 102-103, vol. 123). 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 (p. 45, vol. 33). 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 (p. A69, vol. 97). link> doi>