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Number of items: 15.

B

Bhadra, A; Ionides, EL; Laneri, K; Pascual, M; Bouma, M; Dhiman, RC; Ppe, O; (2011) Malaria in Northwest India: Data Analysis via Partially Observed Stochastic Differential Equation Models Driven by Levy Noise. Journal of the American Statistical Association, 106 (494). pp. 440-451. ISSN 0162-1459 DOI: https://doi.org/10.1198/jasa.2011.ap10323 Full text not available from this repository.

C

Carpenter, JR; Kenward, MG; Vansteelandt, S; (2006) A comparison of multiple imputation and doubly robust estimation for analyses with missing data. Journal of the Royal Statistical Society Series A, (Statistics in Society), 169. pp. 571-584. ISSN 0964-1998 DOI: https://doi.org/10.1111/j.1467-985X.2006.00407.x Full text not available from this repository.

Copas, J; Jones, DR; Spiegelhalter, D; Rice, K; Armstrong, B; Senn, S; Carpenter, J; Kenward, M; de Stavola, B; Nitsch, D; +8 more... Muirhead, CR; Hodges, J; Longford, NT; Gelman, A; Draper, D; Gustafson, P; McCandless, L; Rubin, DB; (2005) Multiple-bias modelling for analysis of observational data - Discussion. Journal of the Royal Statistical Society Series A, (Statistics in Society), 168. p. 291. ISSN 0964-1998 https://researchonline.lshtm.ac.uk/id/eprint/13803 Full text not available from this repository.

D

Daniel, RM; Kenward, MG; (2012) A method for increasing the robustness of multiple imputation. Computational statistics & data analysis, 56 (6). pp. 1624-1643. ISSN 0167-9473 DOI: https://doi.org/10.1016/j.csda.2011.10.006
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Dureau, J; Kalogeropoulos, K; Baguelin, M; (2013) Capturing the time-varying drivers of an epidemic using stochastic dynamical systems. Biostatistics (Oxford, England), 14 (3). pp. 541-555. ISSN 1465-4644 DOI: https://doi.org/10.1093/biostatistics/kxs052
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F

Faes, C; Molenberghs, G; Aerts, M; Verbeke, G; Kenward, MG; (2009) The Effective Sample Size and an Alternative Small-Sample Degrees-of-Freedom Method. The American statistician, 63 (4). pp. 389-399. ISSN 0003-1305 DOI: https://doi.org/10.1198/tast.2009.08196 Full text not available from this repository.

H

Hamilton, PB; Stevens, JR; Gaunt, MW; Gidley, J; Gibson, WC; (2004) Trypanosomes are monophyletic: evidence from genes for glyceraldehyde phosphate dehydrogenase and small subunit ribosomal RNA. International journal for parasitology, 34 (12). pp. 1393-404. ISSN 0020-7519 DOI: https://doi.org/10.1016/j.ijpara.2004.08.011 Full text not available from this repository.

J

Jansen, I; Hens, N; Molenberghs, G; Aerts, M; Verbeke, G; Kenward, MG; (2006) The nature of sensitivity in monotone missing not at random models. Computational statistics & data analysis, 50 (3). pp. 830-858. ISSN 0167-9473 DOI: https://doi.org/10.1016/j.csda.2004.10.009 Full text not available from this repository.

Jones, MC; Anaya-Izquierdo, K; (2011) On parameter orthogonality in symmetric and skew models. Journal of statistical planning and inference, 141 (2). pp. 758-770. ISSN 0378-3758 DOI: https://doi.org/10.1016/j.jspi.2010.07.021 Full text not available from this repository.

M

Molenberghs, G; Kenward, MG; Goetghebeur, E; (2001) Sensitivity analysis for incomplete contingency tables: the Slovenian plebiscite case. Applied statistics, 50. pp. 15-29. ISSN 0035-9254 DOI: https://doi.org/10.1111/1467-9876.00217 Full text not available from this repository.

Molenberghs, G; Verbeke, C; Thijs, H; Lesaffre, E; Kenward, MG; (2001) Influence analysis to assess sensitivity of the dropout process. Computational statistics & data analysis, 37 (1). pp. 93-113. ISSN 0167-9473 https://researchonline.lshtm.ac.uk/id/eprint/17415 Full text not available from this repository.

R

T

Touloumi, G; Babiker, AG; Kenward, MG; Pocock, SJ; Darbyshire, JH; (2003) A comparison of two methods for the estimation of precision with incomplete longitudinal data, jointly modelled with a time-to-event outcome. Statistics in medicine, 22 (20). pp. 3161-3175. ISSN 0277-6715 DOI: https://doi.org/10.1002/sim.1547 Full text not available from this repository.

Touloumi, G; Babiker, AG; Pocock, SJ; Darbyshire, JH; (2001) Impact of missing data due to drop-outs on estimators for rates of change in longitudinal studies: a simulation study. Statistics in medicine, 20 (24). pp. 3715-28. ISSN 0277-6715 https://researchonline.lshtm.ac.uk/id/eprint/16657 Full text not available from this repository.

V

Vansteelandt, S; Goetghebeur, E; Kenward, MG; Molenberghs, G; (2006) Ignorance and uncertainty regions as inferential tools in a sensitivity analysis. Statistica Sinica, 16 (3). pp. 953-979. ISSN 1017-0405 https://researchonline.lshtm.ac.uk/id/eprint/6365 Full text not available from this repository.

This list was generated on Sat Jul 27 07:26:03 2019 BST.