Keogh RH - Search Results

1

Simulating Data From Marginal Structural Models for a Survival Time Outcome.

Seaman SR, Keogh RH. Seaman SR, et al. Among authors: keogh rh. Biom J. 2024 Dec;66(8):e70010. doi: 10.1002/bimj.70010. Biom J. 2024. PMID: 39579051 Free PMC article.

2

Handling missing data in matched case-control studies using multiple imputation.

Seaman SR, Keogh RH. Seaman SR, et al. Among authors: keogh rh. Biometrics. 2015 Dec;71(4):1150-9. doi: 10.1111/biom.12358. Epub 2015 Aug 3. Biometrics. 2015. PMID: 26237003 Free PMC article.

3

Estimating time-varying exposure-outcome associations using case-control data: logistic and case-cohort analyses.

Keogh RH, Mangtani P, Rodrigues L, Nguipdop Djomo P. Keogh RH, et al. BMC Med Res Methodol. 2016 Jan 5;16:2. doi: 10.1186/s12874-015-0104-0. BMC Med Res Methodol. 2016. PMID: 26733471 Free PMC article.

4

Analysis of Longitudinal Studies With Repeated Outcome Measures: Adjusting for Time-Dependent Confounding Using Conventional Methods.

Keogh RH, Daniel RM, VanderWeele TJ, Vansteelandt S. Keogh RH, et al. Am J Epidemiol. 2018 May 1;187(5):1085-1092. doi: 10.1093/aje/kwx311. Am J Epidemiol. 2018. PMID: 29020128 Free PMC article.

5

Multiple imputation of missing data in nested case-control and case-cohort studies.

Keogh RH, Seaman SR, Bartlett JW, Wood AM. Keogh RH, et al. Biometrics. 2018 Dec;74(4):1438-1449. doi: 10.1111/biom.12910. Epub 2018 Jun 5. Biometrics. 2018. PMID: 29870056 Free PMC article.

6

Multiple imputation in Cox regression when there are time-varying effects of covariates.

Keogh RH, Morris TP. Keogh RH, et al. Stat Med. 2018 Nov 10;37(25):3661-3678. doi: 10.1002/sim.7842. Epub 2018 Jul 16. Stat Med. 2018. PMID: 30014575 Free PMC article.

7

Dynamic Prediction of Survival in Cystic Fibrosis: A Landmarking Analysis Using UK Patient Registry Data.

Keogh RH, Seaman SR, Barrett JK, Taylor-Robinson D, Szczesniak R. Keogh RH, et al. Epidemiology. 2019 Jan;30(1):29-37. doi: 10.1097/EDE.0000000000000920. Epidemiology. 2019. PMID: 30234550 Free PMC article.

8

Correcting for measurement error in fractional polynomial models using Bayesian modelling and regression calibration, with an application to alcohol and mortality.

Gray CM, Carroll RJ, Lentjes MAH, Keogh RH. Gray CM, et al. Among authors: keogh rh. Biom J. 2019 May;61(3):558-573. doi: 10.1002/bimj.201700279. Epub 2019 Mar 20. Biom J. 2019. PMID: 30892741 Free PMC article.

9

Adjusting for time-varying confounders in survival analysis using structural nested cumulative survival time models.

Seaman S, Dukes O, Keogh R, Vansteelandt S. Seaman S, et al. Biometrics. 2020 Jun;76(2):472-483. doi: 10.1111/biom.13158. Epub 2019 Nov 7. Biometrics. 2020. PMID: 31562652 Free PMC article.

10

How are missing data in covariates handled in observational time-to-event studies in oncology? A systematic review.

Carroll OU, Morris TP, Keogh RH. Carroll OU, et al. Among authors: keogh rh. BMC Med Res Methodol. 2020 May 29;20(1):134. doi: 10.1186/s12874-020-01018-7. BMC Med Res Methodol. 2020. PMID: 32471366 Free PMC article.

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