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Items: 1 to 20 of 42

1.

Comparison of an interactive 24-h recall and weighed food record for measuring energy and nutrient intakes from complementary foods among 9-10-month-old Malawian infants consuming lipid-based nutrient supplements.

Hemsworth J, Arimond M, Kumwenda C, Rehman AM, Maleta K, Ashorn U, Keogh R, Ferguson EL.

Br J Nutr. 2018 Dec;120(11):1262-1271. doi: 10.1017/S0007114518002374. Epub 2018 Oct 23.

PMID:
30350761
2.

Epidemiologic analyses with error-prone exposures: review of current practice and recommendations.

Shaw PA, Deffner V, Keogh RH, Tooze JA, Dodd KW, Küchenhoff H, Kipnis V, Freedman LS; Measurement Error and Misclassification Topic Group (TG4) of the STRATOS Initiative.

Ann Epidemiol. 2018 Nov;28(11):821-828. doi: 10.1016/j.annepidem.2018.09.001. Epub 2018 Sep 18. Review.

PMID:
30316629
3.

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.

Epidemiology. 2019 Jan;30(1):29-37. doi: 10.1097/EDE.0000000000000920.

4.

Assessing Dietary Outcomes in Intervention Studies: Pitfalls, Strategies, and Research Needs.

Kirkpatrick SI, Collins CE, Keogh RH, Krebs-Smith SM, Neuhouser ML, Wallace A.

Nutrients. 2018 Jul 31;10(8). pii: E1001. doi: 10.3390/nu10081001.

5.

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

Keogh RH, Morris TP.

Stat Med. 2018 Nov 10;37(25):3661-3678. doi: 10.1002/sim.7842. Epub 2018 Jul 16.

6.

Big data: Some statistical issues.

Cox DR, Kartsonaki C, Keogh RH.

Stat Probab Lett. 2018 May;136:111-115. doi: 10.1016/j.spl.2018.02.015.

7.

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

Keogh RH, Seaman SR, Bartlett JW, Wood AM.

Biometrics. 2018 Jun 5. doi: 10.1111/biom.12910. [Epub ahead of print]

8.

Microbial Interactions in the Cystic Fibrosis Airway.

Granchelli AM, Adler FR, Keogh RH, Kartsonaki C, Cox DR, Liou TG.

J Clin Microbiol. 2018 Jul 26;56(8). pii: e00354-18. doi: 10.1128/JCM.00354-18. Print 2018 Aug.

PMID:
29769279
9.

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.

Stat Med. 2018 Jul 10;37(15):2367-2390. doi: 10.1002/sim.7664. Epub 2018 Apr 19.

10.

Landmark Models for Optimizing the Use of Repeated Measurements of Risk Factors in Electronic Health Records to Predict Future Disease Risk.

Paige E, Barrett J, Stevens D, Keogh RH, Sweeting MJ, Nazareth I, Petersen I, Wood AM.

Am J Epidemiol. 2018 Jul 1;187(7):1530-1538. doi: 10.1093/aje/kwy018.

11.

Measurement error is often neglected in medical literature: a systematic review.

Brakenhoff TB, Mitroiu M, Keogh RH, Moons KGM, Groenwold RHH, van Smeden M.

J Clin Epidemiol. 2018 Jun;98:89-97. doi: 10.1016/j.jclinepi.2018.02.023. Epub 2018 Mar 6. Review.

PMID:
29522827
12.

A guide to interpreting estimated median age of survival in cystic fibrosis patient registry reports.

Keogh RH, Stanojevic S.

J Cyst Fibros. 2018 Mar;17(2):213-217. doi: 10.1016/j.jcf.2017.11.014. Epub 2018 Feb 2.

13.

Up-to-date and projected estimates of survival for people with cystic fibrosis using baseline characteristics: A longitudinal study using UK patient registry data.

Keogh RH, Szczesniak R, Taylor-Robinson D, Bilton D.

J Cyst Fibros. 2018 Mar;17(2):218-227. doi: 10.1016/j.jcf.2017.11.019. Epub 2018 Jan 6.

14.

Flexible semiparametric joint modeling: an application to estimate individual lung function decline and risk of pulmonary exacerbations in cystic fibrosis.

Li D, Keogh R, Clancy JP, Szczesniak RD.

Emerg Themes Epidemiol. 2017 Nov 14;14:13. doi: 10.1186/s12982-017-0067-1. eCollection 2017.

15.

Data Resource Profile: The UK Cystic Fibrosis Registry.

Taylor-Robinson D, Archangelidi O, Carr SB, Cosgriff R, Gunn E, Keogh RH, MacDougall A, Newsome S, Schlüter DK, Stanojevic S, Bilton D; CF-EpinNet collaboration.

Int J Epidemiol. 2018 Feb 1;47(1):9-10e. doi: 10.1093/ije/dyx196. No abstract available.

16.

Longitudinal associations between marine omega-3 supplement users and coronary heart disease in a UK population-based cohort.

Lentjes MAH, Keogh RH, Welch AA, Mulligan AA, Luben RN, Wareham NJ, Khaw KT.

BMJ Open. 2017 Oct 13;7(10):e017471. doi: 10.1136/bmjopen-2017-017471.

17.

The duration of protection of school-aged BCG vaccination in England: a population-based case-control study.

Mangtani P, Nguipdop-Djomo P, Keogh RH, Sterne JAC, Abubakar I, Smith PG, Fine PEM, Vynnycky E, Watson JM, Elliman D, Lipman M, Rodrigues LC.

Int J Epidemiol. 2018 Feb 1;47(1):193-201. doi: 10.1093/ije/dyx141.

18.

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

Keogh RH, Daniel RM, VanderWeele TJ, Vansteelandt S.

Am J Epidemiol. 2018 May 1;187(5):1085-1092. doi: 10.1093/aje/kwx311.

19.

Observational study to estimate the changes in the effectiveness of bacillus Calmette-Guérin (BCG) vaccination with time since vaccination for preventing tuberculosis in the UK.

Mangtani P, Nguipdop-Djomo P, Keogh RH, Trinder L, Smith PG, Fine PE, Sterne J, Abubakar I, Vynnycky E, Watson J, Elliman D, Lipman M, Rodrigues LC.

Health Technol Assess. 2017 Jul;21(39):1-54. doi: 10.3310/hta21390.

20.

Choosing appropriate analysis methods for cluster randomised cross-over trials with a binary outcome.

Morgan KE, Forbes AB, Keogh RH, Jairath V, Kahan BC.

Stat Med. 2017 Jan 30;36(2):318-333. doi: 10.1002/sim.7137. Epub 2016 Sep 28.

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