Browse by Uncontrolled Keywords
Number of items: 15.
2016
Rubio, FJ;
Yu, KM;
(2016)
Flexible objective Bayesian linear regression with applications in survival analysis.
Journal of applied statistics, 44 (5).
pp. 798-810.
ISSN 0266-4763
DOI: https://doi.org/10.1080/02664763.2016.1182138
2013
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
2012
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
2011
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.
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.
2009
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.
2006
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.
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.
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.
2005
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.
2004
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.
2003
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.
2001
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.
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.