Prof Katherine Lee is a senior biostatistician with over 20 years' experience in the design, planning and analysis of randomised trials and observational studies. She is co-Director of the Clinical Epidemiology and Biostatistics Unit, and the Associate Director: Biostatistics of the Melbourne Children's Trials Centre. 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.
Prof Katherine Lee is a senior biostatistician with over 20 years' experience in the design, planning and analysis of randomised trials and observational studies. She is co-Director of the Clinical Epidemiology and Biostatistics Unit, and the...
Prof Katherine Lee is a senior biostatistician with over 20 years' experience in the design, planning and analysis of randomised trials and observational studies. She is co-Director of the Clinical Epidemiology and Biostatistics Unit, and the Associate Director: Biostatistics of the Melbourne Children's Trials Centre. 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.
Top Publications
Middleton, M, Nguyen, C, Moreno-Betancur, M, Carlin, JB, Lee, KJ.
Evaluation of multiple imputation approaches for handling missing covariate information in a case-cohort study with a binary outcome.
BMC Medical Research Methodology
22(1)
:
87
2022
view publication
Braat, S, Lee, KJ.
Left in the dark: the importance of publicly available clinical trial protocols.
The Medical Journal of Australia
217(10)
:
519 -520
2022
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Babl, FE, Herd, D, Borland, ML, Kochar, A, Lawton, B, Hort, J, West, A, George, S, Zhang, M, Velusamy, K, et al.
Efficacy of Prednisolone for Bell Palsy in Children.
Neurology
99(20)
:
e2241 -e2252
2022
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Middleton, M, Nguyen, C, Carlin, JB, Moreno-Betancur, M, Lee, KJ.
Evaluation of multiple imputation to address intended and unintended missing data in case-cohort studies with a binary endpoint.
2022
view publication