Items where Author is "Kenward, MG"

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Alonso, A; Geys, H; Molenberghs, G; Kenward, MG; Vangeneugden, T; (2003) Validation of surrogate markers in multiple randomized clinical trials with repeated measurements. Biometrical journal Biometrische Zeitschrift, 45 (8). p. 931. ISSN 0323-3847 DOI: https://doi.org/10.1002/bimj.200390061 Full text not available from this repository.

Bamia, C; White, IR; Kenward, MG; (2013) Some consequences of assuming simple patterns for the treatment effect over time in a linear mixed model. Statistics in medicine, 32 (15). pp. 2585-2594. ISSN 0277-6715 DOI: https://doi.org/10.1002/sim.5707 Full text not available from this repository.

Beunckens, C; Molenberghs, G; Kenward, MG; (2005) Direct likelihood analysis versus simple forms of imputation for missing data in randomized clinical trials. Clinical trials (London, England), 2 (5). pp. 379-386. ISSN 1740-7745 DOI: https://doi.org/10.1191/1740774505cn119oa Full text not available from this repository.

Brunton-Smith, I; Carpenter, JR; Kenward, MG; Tarling, R; (2014) Multiple Imputation for handling missing data in social research. Social Research Update, 65. pp. 1-4. http://sru.soc.surrey.ac.uk/ Full text not available from this repository.

Carpenter, JR; Kenward, MG; (2016) Sensitivity analysis with multiple imputation. In: Molenberghs, G; Fitzmaurice, G; Kenward, MG; Tsiatis, A; Verbeke, G, (eds.) Handbook of missing data methodology. CRC press, Florida, pp. 435-470. ISBN 978-1-4398-5461-7 http://researchonline.lshtm.ac.uk/id/eprint/2869423 Full text not available from this repository.

Carpenter, JR; Kenward, MG; (2015) Developments of methods and critique of ad hoc methods. In: Molenberghs, G; Fitzmaurice, G; Kenward, MG; Tsiatis, A; Verbeke, G, (eds.) Handbook of missing data methodology. CRC Press, Florida, pp. 23-46. ISBN 978-1-4398-5461-7 http://researchonline.lshtm.ac.uk/id/eprint/2869428 Full text not available from this repository.

Creemers, A; Hens, N; Aerts, M; Molenberghs, G; Verbeke, G; Kenward, MG; (2010) Sensitivity Analysis for Shared-Parameter Models for Incomplete Longitudinal Outcomes. Biometrical journal Biometrische Zeitschrift, 52 (1). pp. 111-125. ISSN 0323-3847 DOI: https://doi.org/10.1002/bimj.200800235 Full text not available from this repository.

Diaz-Ordaz, K; Kenward, MG; Grieve, R; (2014) Handling missing values in cost effectiveness analyses that use data from cluster randomized trials. Journal of the Royal Statistical Society Series A, (Statistics in Society), 177 (2). pp. 457-474. ISSN 0964-1998 DOI: https://doi.org/10.1111/rssa.12016 Full text not available from this repository.

Díaz-Ordaz, K; Kenward, MG; Cohen, A; Coleman, CL; Eldridge, S; (2014) Are missing data adequately handled in cluster randomised trials? A systematic review and guidelines. Clinical trials (London, England), 11 (5). pp. 590-600. ISSN 1740-7745 DOI: https://doi.org/10.1177/1740774514537136 Full text not available from this repository.

Jones, B; Kenward, MG; (2003) Design and Analysis of Cross-Over Trials, Second Edition. Chapman & Hall/CRC, London. http://researchonline.lshtm.ac.uk/id/eprint/15736 Full text not available from this repository.

Jones, B; Kenward, MG; (2014) Design and Analysis of Cross-over Trials. Third Edition. Chapman & Hall/CRC. ISBN 9781439861424 http://researchonline.lshtm.ac.uk/id/eprint/2537976 Full text not available from this repository.

Kenward, MG; (2012) Missing data in clinical trials: a data interpretation problem with statistical solutions? Clinical investigation, 2. pp. 5-9. ISSN 2041-6792 DOI: https://doi.org/10.4155/cli.11.145 Full text not available from this repository.

Kenward, MG; (2015) James Roger: A brief biography. Statistical methods in medical research, 24 (4). pp. 399-402. ISSN 0962-2802 DOI: https://doi.org/10.1177/0962280214520734 Full text not available from this repository.

Kenward, MG; Roger, JH; (2010) The use of baseline covariates in cross-overstudies. Biostatistics (Oxford, England), 11. pp. 1-17. ISSN 1465-4644 DOI: https://doi.org/10.1093/biostatistics/kxp046 Full text not available from this repository.

Kenward, MG; Rosenkranz, GK; (2011) Joint modeling of outcome, observation time, and missingness. Journal of biopharmaceutical statistics, 21 (2). pp. 252-62. ISSN 1054-3406 DOI: https://doi.org/10.1080/10543406.2011.550101 Full text not available from this repository.

Milanzi, E; Molenberghs, G; Alonso, A; Kenward, MG; Tsiatis, AA; Davidian, M; Verbeke, G; (2014) Estimation After a Group Sequential Trial. Statistics in biosciences, 7 (2). pp. 187-205. ISSN 1867-1764 DOI: https://doi.org/10.1007/s12561-014-9112-6 Full text not available from this repository.

Molenberghs, G; Kenward, MG; Verbeke, G; (2009) Discussion of Likelihood Inference for Models with Unobservables: Another View. Statistical science, 24 (3). pp. 273-279. ISSN 0883-4237 DOI: https://doi.org/10.1214/09-sts277b Full text not available from this repository.

Schmidt, WP; Boisson, S; Kenward, MG; (2015) Estimating Disease Duration in Cross-sectional Surveys. Epidemiology (Cambridge, Mass). ISSN 1044-3983 DOI: https://doi.org/10.1097/EDE.0000000000000364 Full text not available from this repository.

Sotto, C; Beunckens, C; Molenberghs, G; Kenward, MG; (2011) MCMC-based estimation methods for continuous longitudinal data with non-random (non)-monotone missingness. Computational statistics & data analysis, 55 (1). pp. 301-311. ISSN 0167-9473 DOI: https://doi.org/10.1016/j.csda.2010.04.026 Full text not available from this repository.

van der Elst, W; Hermans, L; Verbeke, G; Kenward, MG; Nassiri, V; Molenberghs, G; (2015) Unbalanced cluster sizes and rates of convergence in mixed-effects models for clustered data. Journal of statistical computation and simulation, 86 (11). pp. 2123-2139. ISSN 0094-9655 DOI: https://doi.org/10.1080/00949655.2015.1103738 Full text not available from this repository.

Public

Hughes, RA; Kenward, MG; Sterne, JAC; Tilling, K; (2017) Estimation of the linear mixed integrated Ornstein-Uhlenbeck model. Journal of statistical computation and simulation, 87 (8). pp. 1541-1558. ISSN 0094-9655 DOI: https://doi.org/10.1080/00949655.2016.1277425
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