Keogh RH - Search Results

1

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.

2

Using full-cohort data in nested case-control and case-cohort studies by multiple imputation.

Keogh RH, White IR. Keogh RH, et al. Stat Med. 2013 Oct 15;32(23):4021-43. doi: 10.1002/sim.5818. Epub 2013 Apr 23. Stat Med. 2013. PMID: 23613433

3

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.

4

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.

5

Bayesian correction for covariate measurement error: A frequentist evaluation and comparison with regression calibration.

Bartlett JW, Keogh RH. Bartlett JW, et al. Among authors: keogh rh. Stat Methods Med Res. 2018 Jun;27(6):1695-1708. doi: 10.1177/0962280216667764. Epub 2016 Sep 28. Stat Methods Med Res. 2018. PMID: 27647812 Free article.

6

Estimating long-term treatment effects in observational data: A comparison of the performance of different methods under real-world uncertainty.

Newsome SJ, Keogh RH, Daniel RM. Newsome SJ, et al. Among authors: keogh rh. Stat Med. 2018 Jul 10;37(15):2367-2390. doi: 10.1002/sim.7664. Epub 2018 Apr 19. Stat Med. 2018. PMID: 29671915 Free PMC article.

7

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.

8

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.

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

Using generalized linear models to implement g-estimation for survival data with time-varying confounding.

Seaman SR, Keogh RH, Dukes O, Vansteelandt S. Seaman SR, et al. Among authors: keogh rh. Stat Med. 2021 Jul 20;40(16):3779-3790. doi: 10.1002/sim.8997. Epub 2021 May 4. Stat Med. 2021. PMID: 33942919 Free PMC article.

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