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Publications

Some consequences of assuming simple patterns for the treatment effect over time in a linear mixed model.
Bamia, C; White, IR; KENWARD, MG;
2012
Statistics in medicine, (2012).32 15 10.1002/sim.5707.
Statistical methods for cost-effectiveness analyses that use observational data: a critical appraisal tool and review of current practice.
KREIF, N; GRIEVE, R; Sadique, MZ;
2012
Health economics, (2012).22 4 10.1002/hec.2806.
Methods for dealing with time-dependent confounding.
DANIEL, RM; COUSENS, SN; De Stavola, BL; KENWARD, MG; Sterne, JA C;
2012
Statistics in medicine, (2012).32 9 10.1002/sim.5686.
Measuring socio-economic position for epidemiological studies in low- and middle-income countries: a methods of measurement in epidemiology paper.
Howe, LD; Galobardes, B; Matijasevich, A; Gordon, D; Johnston, D; Onwujekwe, O; Patel, R; Webb, EA; Lawlor, DA; HARGREAVES, JR;
2012
International journal of epidemiology, (2012).41 3 10.1093/ije/dys037.
Comparing diagnostic tests: trials in people with discordant test results.
Hooper, R; Díaz-Ordaz, K; Takeda, A; Khan, K;
2012
Statistics in medicine, (2012).32 14 10.1002/sim.5676.
When to stop a clinical trial early for benefit: lessons learned and future approaches.
Zannad, F; Gattis Stough, W; McMurray, JJ V; Remme, WJ; Pitt, B; Borer, JS; Geller, NL; POCOCK, SJ;
2012
Circulation Heart failure, (2012).5 2 10.1161/CIRCHEARTFAILURE.111.965707.
Unbiased estimates of long-term net survival of hematological malignancy patients detailed by major subtypes in France.
Monnereau, A; Troussard, X; BELOT, A; Guizard, A-V; Woronoff, A-S; Bara, S; Lapôtre-Ledoux, B; Iwaz, J; Tretarre, B; Maynadié, M; French Network of Cancer Registries (FRANCIM),;
2012
International journal of cancer Journal international du cancer, (2012).132 10 10.1002/ijc.27889.
Missing covariate data in clinical research: when and when not to use the missing-indicator method for analysis.
Groenwold, RH H; White, IR; Donders, AR T; CARPENTER, JR; Altman, DG; Moons, KG M;
2012
CMAJ, (2012).184 11 10.1503/cmaj.110977.
Cancer net survival on registry data: use of the new unbiased Pohar-Perme estimator and magnitude of the bias with the classical methods.
Roche, L; Danieli, C; BELOT, A; Grosclaude, P; Bouvier, A-M; Velten, M; Iwaz, J; Remontet, L; Bossard, N;
2012
International journal of cancer Journal international du cancer, (2012).132 10 10.1002/ijc.27830.
Variance estimation for stratified propensity score estimators.
WILLIAMSON, EJ; Morley, R; Lucas, A; CARPENTER, JR;
2012
Statistics in medicine, (2012).31 15 10.1002/sim.4504.