Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Emmanuel O. Ogundimu"'
Autor:
Emmanuel O. Ogundimu
Publikováno v:
Statistical papers, 2022, Vol.63(2), pp.421-439 [Peer Reviewed Journal]
Sample selection arises when the outcome of interest is partially observed in a study. A common challenge is the requirement for exclusion restrictions. That is, some of the covariates affecting missingness mechanism do not affect the outcome. The dr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3344ee82efc8c0aed978944aa1068dd
https://doi.org/10.1007/s00362-021-01246-z
https://doi.org/10.1007/s00362-021-01246-z
Autor:
Gary S. Collins, Emmanuel O. Ogundimu
Publikováno v:
Statistical Methods in Medical Research, 2019, Vol.28(1), pp.102-116 [Peer Reviewed Journal]
Sample selection arises when the outcome of interest is partially observed in a study. Although sophisticated statistical methods in the parametric and non-parametric framework have been proposed to solve this problem, it is yet unclear how to deal w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c603950f2d67a6bde231cd209bda3c04
https://doi.org/10.1177/0962280217715663
https://doi.org/10.1177/0962280217715663
Autor:
Rafael Pinedo-Villanueva, Andrew Judge, Mark Mullee, David W. Murray, Emmanuel O. Ogundimu, Kassim Javaid, Daniel Prieto-Alhambra, Nigel K Arden, Antonella Delmestri, Gary S. Collins, Cyrus Cooper, Nicholas Clarke, James Raftery, David Culliford, Doug G Altman, Andrew Price, Stefanie Garden, Tinatin Griffin, Andrew Carr, David J Beard, Latham Jm
Publikováno v:
Programme Grants for Applied Research, Vol 5, Iss 12 (2017)
Arden, N, Altman, D, Beard, D, Carr, A, Clarke, N, Collins, G, Cooper, C, Culliford, D, Delmestri, A, Garden, S, Griffin, T, Javaid, K, Judge, A, Latham, J, Mullee, M, Murray, D, Ogundimu, E, Pinedo-Villanueva, R, Price, A, Prieto-Alhambra, D & Raftery, J 2017, ' Lower limb arthroplasty: can we produce a tool to predict outcome and failure, and is it cost-effective? An epidemiological study ', Programme Grants for Applied Research, vol. 5, no. 12, pp. 1-246 . https://doi.org/10.3310/pgfar05120
Arden, N, Altman, D, Beard, D, Carr, A, Clarke, N, Collins, G, Cooper, C, Culliford, D, Delmestri, A, Garden, S, Griffin, T, Javaid, K, Judge, A, Latham, J, Mullee, M, Murray, D, Ogundimu, E, Pinedo-Villanueva, R, Price, A, Prieto-Alhambra, D & Raftery, J 2017, ' Lower limb arthroplasty: can we produce a tool to predict outcome and failure, and is it cost-effective? An epidemiological study ', Programme Grants for Applied Research, vol. 5, no. 12, pp. 1-246 . https://doi.org/10.3310/pgfar05120
BackgroundAlthough hip and knee arthroplasties are considered to be common elective cost-effective operations, up to one-quarter of patients are not satisfied with the operation. A number of risk factors for implant failure are known, but little is k
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a0a07e565849d7f0eb1ed5d30dc3549d
https://doi.org/10.3310/pgfar05120
https://doi.org/10.3310/pgfar05120
Autor:
Emmanuel O. Ogundimu
Publikováno v:
Journal of the Royal Statistical Society: Series A (Statistics in Society), 2019, Vol.182(4), pp.1143-1162 [Peer Reviewed Journal]
Summary Prediction models in credit scoring usually involve the use of data sets with highly imbalanced distributions of the event of interest (default). Logistic regression, which is widely used to estimate the probability of default, PD, often suff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::91fd00fc05fd0d8d97ed3de4b397d4df
Autor:
Esther T. Akinlabi, Birendra Kumar Barik, Neeraj Kumar Bhoi, Shubhankar Bhowmick, Sumit Bhowmik, Biplab Chatterjee, Arzu Eren Şenaras, Mutiu F. Erinosho, Vivek Kumar Gaba, Joyjeet Ghose, Pramod K. Jain, Pankaj Charan Jena, S. Deepak Kumar, A. Mandal, Hamed Niroumand, Emmanuel O. Ogundimu, Saroj Kumar Parida, Saurabh Pratap, Maryam Saaly, Harpreet Singh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::389f8800fb85ec28cf38c08f1d4c93b6
https://doi.org/10.1016/b978-0-12-816564-5.00015-3
https://doi.org/10.1016/b978-0-12-816564-5.00015-3
Publikováno v:
Statistics in Medicine, 2016, Vol.35(23), pp.4124-4135 [Peer Reviewed Journal]
Statistics in Medicine
Statistics in Medicine
Continuous predictors are routinely encountered when developing a prognostic model. Investigators, who are often non‐statisticians, must decide how to handle continuous predictors in their models. Categorising continuous measurements into two or mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c332ba6f45aabbc4cefa118d582414b
https://doi.org/10.1002/sim.6986
https://doi.org/10.1002/sim.6986
Autor:
Mouna Akacha, Emmanuel O. Ogundimu
Publikováno v:
Pharmaceutical Statistics. 15:4-14
Recurrent events involve the occurrences of the same type of event repeatedly over time and are commonly encountered in longitudinal studies. Examples include seizures in epileptic studies or occurrence of cancer tumors. In such studies, interest lie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2cb95d96e079b09ae3fa8af013e3f24b
https://doi.org/10.1002/pst.1720
https://doi.org/10.1002/pst.1720
Autor:
Jane L. Hutton, Emmanuel O. Ogundimu
Publikováno v:
Scandinavian Journal of Statistics. 43:172-190
Non-random sampling is a source of bias in empirical research. It is common for the outcomes of interest (e.g. wage distribution) to be skewed in the source population. Sometimes, the outcomes are further subjected to sample selection, which is a typ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e70c893e555b942a6700d702a93f334a
https://doi.org/10.1111/sjos.12171
https://doi.org/10.1111/sjos.12171
Autor:
Emmanuel O. Ogundimu, Gary S. Collins
Publikováno v:
Journal of Applied Statistics, 2018, Vol.45(6), pp.1030-1040 [Peer Reviewed Journal]
Prediction models for continuous bounded outcomes are often developed by fitting ordinary least-square regression. However, predicted values from such method may lie outside the range of the outcome as it is bounded within a fixed range, with nonline
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cbf0ea22775aedd49d8ad2041dc928a8
http://ora.ox.ac.uk/objects/uuid:
http://ora.ox.ac.uk/objects/uuid:
Autor:
Emmanuel O. Ogundimu, Jane L. Hutton
Publikováno v:
Communications in Statistics-Theory and Methods, 2016, Vol.45(9), pp.2592-2611 [Peer Reviewed Journal]
We propose a unified approach for multilevel sample selection models using a generalized result on skew distributions arising from selection. If the underlying distributional assumption is normal, then the resulting density for the outcome is the con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae4ebc16b4695e8be6731d08dd0d018f
https://doi.org/10.1080/03610926.2014.887108
https://doi.org/10.1080/03610926.2014.887108