MRC Biostatistics UnitThe MRC Biostatistics Unit keeps a record of all known BSU publications in line with the MRC’s Open Access Policy
Our latest published papers can be viewed using the following link
Burgess, S, Foley, CN, Allara, E, Staley, JR, Howson, JMM. 2020. A robust and efficient method for Mendelian randomization with hundreds of genetic variants. Nat Commun 11:376. PubMed PMID:31953392
Hanly, JG, Urowitz, MB, Gordon, C, Bae, SC, Romero-Diaz, J, Sanchez-Guerrero, J, Bernatsky, S, Clarke, AE, Wallace, DJ, Isenberg, DA, Rahman, A, Merrill, JT, Fortin, PR, Gladman, DD, Bruce, IN, Petri, M, Ginzler, EM, Dooley, MA, Ramsey-Goldman, R, Manzi, S, Jönsen, A, Alarcón, GS, van Vollenhoven, RF, Aranow, C, Mackay, M, Ruiz-Irastorza, G, Lim, S, Inanc, M, Kalunian, KC, Jacobsen, S, Peschken, CA, Kamen, DL, Askanase, A, Farewell, V. 2020. Neuropsychiatric events in systemic lupus erythematosus: a longitudinal analysis of outcomes in an international inception cohort using a multistate model approach. Ann. Rheum. Dis. :. PubMed PMID:31915121
Zuber, V, Colijn, JM, Klaver, C, Burgess, S. 2020. Selecting likely causal risk factors from high-throughput experiments using multivariable Mendelian randomization. Nat Commun 11:29. PubMed PMID:31911605
Vermunt, L, Muniz-Terrera, G, Ter Meulen, L, Veal, C, Blennow, K, Campbell, A, Carrié, I, Delrieu, J, Fauria, K, Huesa Rodríguez, G, Ingala, S, Jenkins, N, Molinuevo, JL, Ousset, PJ, Porteous, D, Prins, ND, Solomon, A, Tom, BD, Zetterberg, H, Zwan, M, Ritchie, CW, Scheltens, P, Luscan, G, Brookes, AJ, Visser, PJ, IMI-EPAD collaborators. 2020. Prescreening for European Prevention of Alzheimer Dementia (EPAD) trial-ready cohort: impact of AD risk factors and recruitment settings. Alzheimers Res Ther 12:8. PubMed PMID:31907067
Gasparini, A, Abrams, KR, Barrett, JK, Major, RW, Sweeting, MJ, Brunskill, NJ, Crowther, MJ. 2020. Mixed-effects models for health care longitudinal data with an informative visiting process: A Monte Carlo simulation study. Stat Neerl 74:5-23. PubMed PMID:31894164
Münch, MM, Peeters, CFW, Van Der Vaart, AW, Van De Wiel, MA. 2019. Adaptive group-regularized logistic elastic net regression. Biostatistics :. PubMed PMID:31886488
Pallmann, P, Wan, F, Mander, AP, Wheeler, GM, Yap, C, Clive, S, Hampson, LV, Jaki, T. 2019. Designing and evaluating dose-escalation studies made easy: The MoDEsT web app. Clin Trials :1740774519890146. PubMed PMID:31856600
Treasure, T, Farewell, V, Macbeth, F, Monson, K, Williams, NR, Brew-Graves, C, Lees, B, Grigg, O, Fallowfield, L, PulMiCC Trial Group. 2019. Pulmonary Metastasectomy versus Continued Active Monitoring in Colorectal Cancer (PulMiCC): a multicentre randomised clinical trial. Trials 20:718. PubMed PMID:31831062
Crook, OM, Gatto, L, Kirk, PDW. 2019. Fast approximate inference for variable selection in Dirichlet process mixtures, with an application to pan-cancer proteomics. Stat Appl Genet Mol Biol 18:. PubMed PMID:31829970
Yuan, S, Bäck, M, Bruzelius, M, Mason, AM, Burgess, S, Larsson, S. 2019. Plasma Phospholipid Fatty Acids, FADS1 and Risk of 15 Cardiovascular Diseases: A Mendelian Randomisation Study. Nutrients 11:. PubMed PMID:31817859
Pilz, M, Kieser, M, Kunzmann, K. 2020. Comments on "Adaptive sample size modification in clinical trials: Start small then ask for more?". Stat Med 39:97-98. PubMed PMID:31808185
Januszewicz, W, Hartley, J, Waldock, W, Roberts, G, Alias, B, Hobson, A, Wernisch, L, di Pietro, M. 2019. Endoscopic measurement of gastric pH associates with persistent acid reflux in patients treated with proton-pump inhibitors for gastroesophageal reflux disease. United European Gastroenterol J 7:1389-1398. PubMed PMID:31807307
Antoniou, M, Kolamunnage-Dona, R, Wason, J, Bathia, R, Billingham, C, Bliss, JM, Brown, LC, Gillman, A, Paul, J, Jorgensen, AL. 2019. Biomarker-guided trials: Challenges in practice. Contemp Clin Trials Commun 16:100493. PubMed PMID:31788574
Mazarello Paes, V, Barrett, JK, Dunger, DB, Gevers, EF, Taylor-Robinson, DC, Viner, RM, Stephenson, TJ. 2019. Factors predicting poor glycemic control in the first two years of childhood onset type 1 diabetes in a cohort from East London, UK: Analyses using mixed effects fractional polynomial models. Pediatr Diabetes :. PubMed PMID:31782879
Allara, E, Morani, G, Carter, P, Gkatzionis, A, Zuber, V, Foley, CN, Rees, JMB, Mason, AM, Bell, S, Gill, D, Lindström, S, Butterworth, AS, Di Angelantonio, E, Peters, J, Burgess, S, INVENT consortium. 2019. Genetic Determinants of Lipids and Cardiovascular Disease Outcomes: A Wide-Angled Mendelian Randomization Investigation. Circ Genom Precis Med 12:e002711. PubMed PMID:31756303
White, IR, Joseph, R, Best, N. 2019. A causal modelling framework for reference-based imputation and tipping point analysis in clinical trials with quantitative outcome. J Biopharm Stat :1-17. PubMed PMID:31718423
Nath, AP, Ritchie, SC, Grinberg, NF, Tang, HH, Huang, QQ, Teo, SM, Ahola-Olli, AV, Würtz, P, Havulinna, AS, Santalahti, K, Pitkänen, N, Lehtimäki, T, Kähönen, M, Lyytikäinen, LP, Raitoharju, E, Seppälä, I, Sarin, AP, Ripatti, S, Palotie, A, Perola, M, Viikari, JS, Jalkanen, S, Maksimow, M, Salmi, M, Wallace, C, Raitakari, OT, Salomaa, V, Abraham, G, Kettunen, J, Inouye, M. 2019. Multivariate Genome-wide Association Analysis of a Cytokine Network Reveals Variants with Widespread Immune, Haematological, and Cardiometabolic Pleiotropy. Am. J. Hum. Genet. 105:1076-1090. PubMed PMID:31679650
Michiels, S, Wason, J. 2019. Overestimated treatment effects in randomised phase II trials: What's up doctor?. Eur. J. Cancer 123:116-117. PubMed PMID:31678769
Hampel, H, Vergallo, A, Afshar, M, Akman-Anderson, L, Arenas, J, Benda, N, Batrla, R, Broich, K, Caraci, F, Cuello, AC, Emanuele, E, Haberkamp, M, Kiddle, SJ, Lucía, A, Mapstone, M, Verdooner, SR, Woodcock, J, Lista, S. 2019. Blood-based systems biology biomarkers for next-generation clinical trials in Alzheimer's disease . Dialogues Clin Neurosci 21:177-191. PubMed PMID:31636492
Bahls, M, Lorenz, MW, Dörr, M, Gao, L, Kitagawa, K, Tuomainen, TP, Agewall, S, Berenson, G, Catapano, AL, Norata, GD, Bots, ML, van Gilst, W, Asselbergs, FW, Brouwers, FP, Uthoff, H, Sander, D, Poppert, H, Hecht Olsen, M, Empana, JP, Schminke, U, Baldassarre, D, Veglia, F, Franco, OH, Kavousi, M, de Groot, E, Mathiesen, EB, Grigore, L, Polak, JF, Rundek, T, Stehouwer, CD, Skilton, MR, Hatzitolios, AI, Savopoulos, C, Ntaios, G, Plichart, M, McLachlan, S, Lind, L, Willeit, P, Steinmetz, H, Desvarieux, M, Ikram, MA, Johnsen, SH, Schmidt, C, Willeit, J, Ducimetiere, P, Price, JF, Bergström, G, Kauhanen, J, Kiechl, S, Sitzer, M, Bickel, H, Sacco, RL, Hofman, A, Völzke, H, Thompson, SG, PROG-IMT Study Group. 2019. Progression of conventional cardiovascular risk factors and vascular disease risk in individuals: insights from the PROG-IMT consortium. Eur J Prev Cardiol :2047487319877078. PubMed PMID:31619084
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