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Professor Katherine Lee
Prof Katherine Lee is a senior biostatistician with over 15 years' experience in the design, planning and analysis of randomised trials and observational studies. She is currently the Associate Director: Biostatistics of the Melbourne Children's Trials Centre where she is the responsible statistician for 15 clinical trials and 5 observational studies being conducted at The Royal Children's Hospital. She has a Bachelor of Science in Mathematics from the University of Nottingham UK, a Masters of Science in Medical Statistics from the University of Leicester UK and a PhD in Biostatistics from the University of Cambridge.
Her methodological interest is in multiple imputation for dealing with missing data and adaptive clinical trial designs.
- Associate Director (Biostatistics), Melbourne Children's Trials Centre
- Honorary Fellow, Department of Paediatrics, University of Melbourne
Prof Lee's main area of interest in the methods of multiple imputation for dealing with missing data, and in particular in practical issues surrounding the implementation of this approach in the context of complex longitudinal studies.
She also has an interest in adaptive clinical trial designs, including platform trials.
- Melbourne Children's Trials Centre
- Clinical Epidemiology and Biostatistics Unit
- Victorian Centre for Biostatistics (ViCBiostat)
- Australian Trials Methodology (AusTriM) Research Network
- Victorian Infant Brain Studies (VIBeS)
De Silva AP, Moreno-Betancur M, De Livera AM, Lee KJ and Simpson JA. Multiple imputation methods for handling missing values in longitudinal studies with sampling weights: comparison of methods implemented in Stata. Accepted by Biometrical Journal, 11jun2020.
Wijesuriya R, Moreno-Betancur M, Carlin JB and Lee KJ. Evaluation of approaches for multiple imputation of three-level data. Accepted by BMC research methodology, 7jul2020.
Lee KJ, Moreno-Betancur M, Kasza J, Barnett A, Marshner I and Carlin J. Biostatistics: a fundamental discipline for health and medical research in the face of the current data deluge. Medical Journal of Australia, Nov 2019;211(10):444-446.e1. doi: 10.5694/mja2.50372.
Carlin J, Kasza J, Moreno-Betancur, Simpson J, Barlett J, Metcalfe C and Lee KJ. A potpourri of biostatistical research: Special Issue for ISCB ASC 2018. 2019: 62(2): 267-269.
Grobler AC and Lee KJ. Multiple imputation in the presence of an incomplete binary variable created from an underlying continuous variable. Biometrical Journal, 2019 Jul 15. doi: 10.1002/bimj.201900011. [Epub ahead of print]
De Silva AP, Moreno-Betancur M, De Livera AM, Lee KJ and Simpson JA. Multiple imputation methods for handling missing values in a longitudinal categorical variable with restrictions on transitions over time: a simulation study. BMC Medical Research Methodology, 2019 Jan 10;19(1):14. doi: 10.1186/s12874-018-0653-0.
Huque H, Carlin JB, Simpson JA and Lee KJ. A comparison of multiple imputation methods for missing data in longitudinal studies. BMC Medical Research Methodology. 2018 Dec 12;18(1):168. doi: 10.1186/s12874-018-0615-6.
Yelland LN, Sullivan TR, Collins CT, McPhee AJ and Lee KJ. Accounting for Twin Births in Sample Size Calculations for Randomised Trials. Paediatric and Perinatal Epidemiology, 2018 Jul;32(4):380-387. doi: 10.1111/ppe.1247.
Moreno-Betancur M, Lee KJ, Leacy FP, White IR, Simpson JA and Carlin JB. Canonical causal diagrams to guide the treatment of missing data in epidemiological studies. Am J Epidemiol. 2018 Dec 1;187(12):2705-2715. doi: 10.1093/aje/kwy173.
Yelland LN, Kahan BC, Dent E, Voysey M, Lee KJ, Forbes AB, Cook JA . Prevalence and reporting of recruitment, randomisation and treatment errors in clinical trials: a systematic review. Clinical Trials, 2018 Jun;15(3):278-285. doi: 10.1177/1740774518761627.
Sullivan TR, White IR, Salter AB, Ryan P and Lee KJ. Should multiple imputation be the method of choice for handling missing data in randomized trials? Statistical methods in medical research, 2018; 27 (9), 2610-2626.
Sullivan TR, Lee KJ, Ryan P and Salter AB. Multiple imputation for handling missing outcome data when estimating the relative risk. BMC Medical Research Methodology, 2017 Sep;17(1):134.
Carpenter J and Lee KJ on behalf of STRATOS TG1. STRengthening the Analysis of Observational Studies (STRATOS): Introducing the Missing Data topic group (TG1). Biometric Bulletin, 2017. 34 (4); 11-13.
Nguyen CD, Carlin JB and Lee KJ. Model checking in multiple imputation: an overview and case study. Emerging Themes in Epidemiology, 2017 Aug; 14 (1):8.
Sullivan TR, Yelland LN, Lee KJ, Ryan P, Salter AB. Treatment of missing data in follow-up studies of randomised controlled trials: a systematic review of the literature. Clinical Trials, 2017 Aug; 14(4):387-395.
De Silva AP, Moreno-Betancur M, De Livera AM, Lee KJ and Simpson JA. A comparison of multiple imputation methods for handling missing values in longitudinal data in the presence of a time varying covariate with a non-linear association with time: a simulation study. BMC medical research methodology, 2017; 17 (1), 114.
Rezvan, PH, White IR, Lee KJ, Carlin JB and Simpson JA. Evaluation of a weighting approach for performing sensitivity analysis after multiple imputation. BMC Med Res Methodol. 2015 Oct 13;15:83.
Lee KJ and Carlin JB. Multiple imputation in the presence of non-normal data. Statistics in medicine, 2017; 36 (4), 606-617.
Yelland LN, Sullivan TR, Price DJ and Lee KJ. Sample Size Calculations for Randomised Trials Including Both Independent and Paired Data. Statistics in medicine, 2017; 36 (8), 1227-1239.
Simpson JA, Forbes A, Wolfe R, Gurrin LC, Lee KJ, Schuster T, Vukcevic D, Kasza J, Moreno-Betancur M, Zoloumis S, DeLivera A, Nguyen C, Karahalios, McKenzie, Milanzi E, and Carlin JB. Upskilling the epidemiological workforce with advanced biostatistics training: the ViCBiostat Summer School. Australasian Epidemiologist, 2016; 23.1, 27-29.
Australian NHMRC Career Development Fellowship Level 1 - Integrated program of methodological and collaborative research (2013-2016) $238,634.
Australian NHMRC Clinical Trials and Cohort studies grants:
Prevention of wheeze-associated hospitalisation in preschoolers with the immunomodulator OM85: a multi-centre, randomised, double-blind, placebo-controlled trial (2020-2023). Vuillermin, Sly P, McNab S, Lee KJ, Gold L, Grant C, Martin A, and Schembri R. $1,624,181.40.
Recent Australian NHMRC Project Grants:
- Addressing new challenges with missing data in complex epidemiological studies: methods, guidance and software (2019-2021). Lee KJ, Moreno-Betancur M, Carlin J, Nguyen C and White I. $537,226.40
- Primary prevention of infant food allergy: a randomised controlled trial of postnatal vitamin D supplementation (2018-2022). Allen K, Tang M, Ponsonby A, Lee KJ, Daziel K and Koplan J. $1,699,993.80
- Neurodevelopmental outcome after sevoflurane versus dexmedetomidine/remifentanil anaesthesia in infancy: a randomised controlled trial (2017-2021). Davidson A, Ungern-Sternberg BR, Hunt R, Crowe L, Lee KJ, McCann ME, McGowan F, Andropoulos D, Brambrink A, and Stargatt R. $825,787.40.
- Implementing multiple imputation with sensitivity analysis in large-scale longitudinal studies (2016-2018). Lee KJ, Carlin JC, Simpson JA, and White IR. $473,507.
- Motor trajectories of children born <30 weeks' gestation from birth to 5 years: early predictors and functional implications (2016-2019). Spittle A, Anderson PA, Doyle LW, McGinley J, Clarke R, Thompson D, Lee KJ and Cheong J. $687,068.10
- Does the treatment of anxiety in children with ADHD improve outcomes? A large-scale randomised controlled trial (2016-2019). Sciberras E, Hiscock H, Efron D and Lee KJ. $1,010,971.70
- Bell's Palsy in Children (BellPIC) (2015-2019). Babl F. Mackey M, Dalziel S, Oakley E, Borland M, Lee KJ, Davidson A, Herd D and Hopper S. $1,100,000.
Australian NHMRC Centre for Research Excellence Grants:
- Better health through better trials: A national network to develop and implement innovative clinical trials methodology. CIA Rory Wolfe (CIB, 2019-2024)
- The Centre of Research Excellence in Newborn Medicine: A Healthy Start to Life. CIA Jeanie Cheong (CIH, 2019-2024)
- The Victorian Centre for Applied Biostatistics (VCAB): Building core methodological capacity for population health (CIF, 2012-2016)