Publications

Meta-analytical methods to identify who benefits most from treatments: daft, deluded, or deft approach?.

Fisher, DJ; CARPENTER, JR; Morris, TP; Freeman, SC; Tierney, JF;

2017

BMJ (Clinical research ed), (2017).356, 10.1136/bmj.j573.

Personalising the decision for prolonged dual antiplatelet therapy: development, validation and potential impact of prognostic models for cardiovascular events and bleeding in myocardial infarction survivors.

Pasea, L; Chung, S-C; Pujades-Rodriguez, M; Moayyeri, A; Denaxas, S; Fox, KA A; Wallentin, L; POCOCK, SJ; Timmis, A; Banerjee, A; Patel, R; Hemingway, H;

2017

European heart journal, (2017).38 14 10.1093/eurheartj/ehw683.

Methods to increase reporting of childhood sexual abuse in surveys: the sensitivity and specificity of face-to-face interviews versus a sealed envelope method in Ugandan primary school children.

Barr, AL; KNIGHT, L; Franҫa-Junior, I; ALLEN, E; Naker, D; DEVRIES, KM;

2017

BMC international health and human rights, (2017).17 1 10.1186/s12914-016-0110-2.

Validity of estimated prevalence of decreased kidney function and renal replacement therapy from primary care electronic health records compared with national survey and registry data in the United Kingdom.

IWAGAMI, M; TOMLINSON, LA; MANSFIELD, KE; Casula, A; Caskey, FJ; Aitken, G; Fraser, SD S; Roderick, PJ; NITSCH, D;

2017

Nephrology, dialysis, transplantation, (2017).32 suppl_ 10.1093/ndt/gfw318.

Handling Missing Data in Within-Trial Cost-Effectiveness Analysis: A Review with Future Recommendations.

Gabrio, A; MASON, AJ; Baio, G;

2017

PharmacoEconomics open, (2017).1 2 10.1007/s41669-017-0015-6.

Utilising identifier error variation in linkage of large administrative data sources.

HARRON, K; Hagger-Johnson, G; Gilbert, R; Goldstein, H;

2017

BMC medical research methodology, (2017).17 1 10.1186/s12874-017-0306-8.

What impact do assumptions about missing data have on conclusions? A practical sensitivity analysis for a cancer survival registry.

SMUK, M; CARPENTER, JR; Morris, TP;

2017

BMC medical research methodology, (2017).17 1 10.1186/s12874-017-0301-0.

Understanding causal pathways within health systems policy evaluation through mediation analysis: an application to payment for performance (P4P) in Tanzania.

Anselmi, L; Binyaruka, P; BORGHI, J;

2017

Implementation science, (2017).12 1 10.1186/s13012-016-0540-1.

Response: Formalism or pluralism? A reply to commentaries on 'Causality and causal inference in epidemiology'.

Broadbent, A; Vandenbroucke, JP; PEARCE, N;

2017

International journal of epidemiology, (2017).45 6 10.1093/ije/dyw298.

Levels of disability in the older population of England: Comparing binary and ordinal classifications.

PONGIGLIONE, B; Ploubidis, GB; De Stavola, BL;

2017

Disabil Health J, (2017).10 4 10.1016/j.dhjo.2017.01.005.