Publications

ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions.

Sterne, JA; Hernán, MA; Reeves, BC; Savović, J; Berkman, ND; Viswanathan, M; Henry, D; Altman, DG; Ansari, MT; Boutron, I; CARPENTER, JR; Chan, A-W; Churchill, R; Deeks, JJ; Hróbjartsson, A; Kirkham, J; Jüni, P; Loke, YK; Pigott, TD; Ramsay, CR; Regidor, D; Rothstein, HR; Sandhu, L; Santaguida, PL; Schünemann, HJ; ... Higgins, JP.

2016

BMJ (Clinical research ed), (2016).355, 10.1136/bmj.i4919.

Effect of pre-exposure prophylaxis and combination HIV prevention for men who have sex with men in the UK: a mathematical modelling study.

PUNYACHAROENSIN, N; EDMUNDS, WJ; De Angelis, D; Delpech, V; Hart, G; Elford, J; Brown, A; Gill, ON; WHITE, RG;

2016

The lancet HIV, (2016).3 2 10.1016/S2352-3018(15)00056-9.

Polygenic Epidemiology.

DUDBRIDGE, F;

2016

Genetic epidemiology, (2016).40 4 10.1002/gepi.21966.

Using reporting guidelines to publish paediatric research.

HARRON, K;

2016

Archives of disease in childhood, (2016).102 5 10.1136/archdischild-2016-311248.

Medication Use in Early-HD Participants in Track-HD: an Investigation of its Effects on Clinical Performance.

KEOGH, R; FROST, C; Owen, G; DANIEL, RM; Langbehn, DR; Leavitt, B; Durr, A; Roos, RA C; Landwehrmeyer, GB; Reilmann, R; Borowsky, B; Stout, J; Craufurd, D; Tabrizi, SJ;

2016

PLoS currents, (2016).8 HUNTIN 10.1371/currents.hd.8060298fac1801b01ccea6acc00f97cb.

Challenges to Data Monitoring Committees When Regulatory Authorities Intervene.

Swedberg, K; Borer, JS; Pitt, B; POCOCK, S; Rouleau, J;

2016

The New England journal of medicine, (2016).374 16 10.1056/NEJMsb1601674.

[The REporting of studies Conducted using Observational Routinely-collected health Data (RECORD) statement].

Benchimol, EI; SMEETH, L; Guttmann, A; HARRON, K; Hemkens, LG; Moher, D; Petersen, I; Sørensen, HT; Von Elm, E; LANGAN, SM; RECORD Working Committee,;

2016

Zeitschrift fur Evidenz, Fortbildung und Qualitat im Gesundheitswesen, (2016).115-11, 10.1016/j.zefq.2016.07.010.

Analysis of recurrent events with an associated informative dropout time: Application of the joint frailty model.

ROGERS, JK; Yaroshinsky, A; POCOCK, SJ; Stokar, D; Pogoda, J;

2016

Statistics in medicine, (2016).35 13 10.1002/sim.6853.

TIME Impact - a new user-friendly tuberculosis (TB) model to inform TB policy decisions.

HOUBEN, RM G J; LALLI, M; SUMNER, T; Hamilton, M; PEDRAZZOLI, D; Bonsu, F; Hippner, P; Pillay, Y; Kimerling, M; Ahmedov, S; Pretorius, C; WHITE, RG;

2016

BMC medicine, (2016).14 1 10.1186/s12916-016-0608-4.

Bayesian correction for covariate measurement error: A frequentist evaluation and comparison with regression calibration.

BARTLETT, JW; KEOGH, RH;

2016

Statistical methods in medical research, (2016).27 6 10.1177/0962280216667764.