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Publications

Robust inference using hierarchical likelihood approach for heavy-tailed longitudinal outcomes with missing data: An alternative to inverse probability weighted generalized estimating equations.
Lee, D; Lee, Y; Paik, MC; KENWARD, MG;
2013
Computational statistics & data analysis, (2013).59, 10.1016/j.csda.2012.10.013.
Measurement error in time-series analysis: a simulation study comparing modelled and monitored data.
Butland, BK; ARMSTRONG, B; Atkinson, RW; WILKINSON, P; Heal, MR; Doherty, RM; Vieno, M;
2013
BMC medical research methodology, (2013).13 1 10.1186/1471-2288-13-136.
Joint modelling of pre-randomisation event counts and multiple post-randomisation survival times with cure rates: application to data for early epilepsy and single seizures.
ROGERS, JK; Hutton, JL;
2013
Journal of applied statistics, (2013).40 3 10.1080/02664763.2012.748720.
Review Of Methodological Issues in Cost-Effectiveness Analyses Relating to Injecting Drug Users, and Case-Study Illustrations.
White, SR; Bird, SM; GRIEVE, R;
2013
Journal of the Royal Statistical Society: Series A (Statistics in Society, (2013).177 3 10.1111/rssa.12030.
Prognosis Research Strategy (PROGRESS) 3: prognostic model research.
Steyerberg, EW; Moons, KG M; Van der Windt, DA; Hayden, JA; PEREL, P; Schroter, S; Riley, RD; Hemingway, H; Altman, DG; PROGRESS Group,;
2013
PLoS medicine, (2013).10 2 10.1371/journal.pmed.1001381.
Quantifying uncertainty in health impact assessment: a case-study example on indoor housing ventilation.
Mesa-Frias, M; CHALABI, Z; FOSS, AM;
2013
Environment international, (2013).62, 10.1016/j.envint.2013.10.007.
The use of individual patient-level data (IPD) to quantify the impact of pretreatment predictors of response to treatment in chronic hepatitis B patients.
Ali, S; Mealing, S; HAWKINS, N; Lescrauwaet, B; Bjork, S; Mantovani, L; Lampertico, P;
2013
BMJ open, (2013).3 1 10.1136/bmjopen-2012-001309.
Analysis of longitudinal trials with protocol deviation: a framework for relevant, accessible assumptions, and inference via multiple imputation.
CARPENTER, JR; Roger, JH; KENWARD, MG;
2013
Journal of biopharmaceutical statistics, (2013).23 6 10.1080/10543406.2013.834911.
Reducing and meta-analysing estimates from distributed lag non-linear models.
GASPARRINI, A; ARMSTRONG, B;
2013
BMC medical research methodology, (2013).13 1 10.1186/1471-2288-13-1.
Multiple imputation methods for handling missing data in cost-effectiveness analyses that use data from hierarchical studies: an application to cluster randomized trials.
GOMES, M; Díaz-Ordaz, K; GRIEVE, R; KENWARD, MG;
2013
Medical decision making, (2013).33 8 10.1177/0272989X13492203.