Ruth Knight
Medical Statistician
I currently work on a variety of clinical trials providing statistical expertise to the set-up, management, and analysis of these trials.
I recently completed my PhD at King's College London. My research concerned the use of Bayesian mixed models to combine both randomised controlled trial data and routine clinical practice data extracted from electronic medical records to provide less biased and more generalizable estimates treatment effectiveness than those based on either of the two data sources alone. The modelling approach was applied to estimate the effectiveness of acetylcholinesterase inhibitors which are drugs used in the management of dementia. Prior to this I graduated from Durham University with an MMath in Mathematics.
I joined OCTRU and CSM as a medical statistician in October 2017.
Recent publications
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Study of Peri-Articular Anaesthetic for Replacement of the Knee (SPAARK): study protocol for a patient-blinded, randomised controlled superiority trial of liposomal bupivacaine.
Journal article
Knight R. et al, (2019), Trials, 20
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Optimal randomisation strategies – simple, stratified or minimised: lessons from the WHIST trial
Poster
KNIGHT R. et al, (2019)
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Assessing the quality of data collection in clinic; lessons from the Wound Healing in Surgical Trauma (WHiST) RCT
Conference paper
Campolier M. et al, (2019), Trials, 20
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How well are binary outcomes analysed and the findings reported? - A systematic review of randomised trials
Conference paper
Rombach I. et al, (2019), Trials, 20
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Standard wound management versus negative pressure wound therapy following surgical treatment of major trauma to the lower limb: the WHiST randomised controlled trial
Journal article
COSTA M. et al, (2019), Nihr journals library