Research groups
Ines Rombach
Senior Medical Statistician
Passionate about improving the handling and reporting of missing data in randomised controlled trials
As a statistician within the Oxford Clinical Trials Research Unit (OCTRU), I am involved in all aspects of clinical trials.
I contribute statistical expertise to the development of grant applications and to the planning, conduct and analysis of primarily orthopaedic, surgical and antimicrobial trials.
I also hold a researcher post in the Health Economic Research Centre (HERC), where I work on cost-effectiveness analyses alongside randomised controlled trials.
My research interests include the handling and reporting of missing data in randomised clinical trials, the use of patient reported outcomes and surgical trials methodology.
I have been involved in Data Monitoring and Safety Committees as the independent statistician and regularly teach a variety of topics, including aspects of clinical trial design, statistical concepts and statistical programming in Stata.
Key publications
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Arthroscopic subacromial decompression for subacromial shoulder pain (CSAW): a multicentre, pragmatic, parallel group, placebo-controlled, three-group, randomised surgical trial.
Journal article
Beard DJ. et al, (2018), Lancet (London, England), 391, 329 - 338
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The current practice of handling and reporting missing outcome data in eight widely used PROMs in RCT publications: a review of the current literature.
Journal article
Rombach I. et al, (2016), Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 25, 1613 - 1623
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Impact of a web-based tool (WebCONSORT) to improve the reporting of randomised trials: results of a randomised controlled trial.
Journal article
Hopewell S. et al, (2016), BMC medicine, 14
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Oral versus intravenous antibiotic treatment for bone and joint infections (OVIVA): study protocol for a randomised controlled trial.
Journal article
Li HK. et al, (2015), Trials, 16
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Use of placebo controls in the evaluation of surgery: systematic review.
Journal article
Wartolowska K. et al, (2014), BMJ (Clinical research ed.), 348
Recent publications
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Multiple imputation for patient reported outcome measures in randomised controlled trials: advantages and disadvantages of imputing at the item, subscale or composite score level.
Journal article
Rombach I. et al, (2018), BMC medical research methodology, 18
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An observational study showed that explaining randomization using gambling-related metaphors and computer-agency descriptions impeded randomized clinical trial recruitment.
Journal article
Jepson M. et al, (2018), Journal of clinical epidemiology, 99, 75 - 83
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Comparison of statistical approaches for analyzing incomplete longitudinal patient-reported outcome data in randomized controlled trials.
Conference paper
Rombach I. et al, (2018), Patient related outcome measures, 9, 197 - 209
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Comparison of statistical approaches for analyzing incomplete longitudinal patient-reported outcome data in randomized controlled trials
Journal article
Rombach I. et al, (2018), Patient Related Outcome Measures, Volume 9, 197 - 209
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Arthroscopic subacromial decompression for subacromial shoulder pain (CSAW): a multicentre, pragmatic, parallel group, placebo-controlled, three-group, randomised surgical trial.
Journal article
Beard DJ. et al, (2018), Lancet (London, England), 391, 329 - 338