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About Me

Sydney, NSW, Australia
I assist pharmaceutical companies, medical professionals and academics with a wide range of medical writing and editing projects. Read more about the services I offer on my website mediwrite.com.au.

I specialise in projects that help translate medical research into clinical practice. I have experience in managing large international academic and medical expert committees and in the research and preparation of clinical guidelines and position statements.

Location:

Sydney, NSW, Australia

Qualifications:

BSc, PhD, GC Biostat

Experience:

I was awarded a PhD (DPhil) from the University of Oxford and as an academic researcher, I have authored over 35 peer-reviewed journal articles and acted as a reviewer for a number of well-respected medical journals.

I established my medical writing consultancy in 2012 and have worked on a wide variety of medical topics. I am an Adjunct Fellow at Macquarie University and continue to be involved in medical research.

Writer Categories:

Clinical Trials.  Editor.  Pharmaceutical.  Researcher.  Writer.  Grant Writing.  Manuscript Preparation.  Systematic Reviews & Meta-analysis.  Proofreading. 

Specialty Topics:

Asthma.  Cancer.  Cardiology.  Chronic Health Conditions.  Chronic Obstructive Pulmonary Disease (COPD).  Epidemiology.  Genetics.  Immunology.  Medical Devices.  Oncology.  Ophthalmology.  Osteoporosis.  Public Health.  Women's Health.  Evidence-based Medicine.  Medical Editing.  Haematology.  Health & Medical Technology.  Statistics.  Genomics.  Population Health.  Gynaecology.  Multiple Sclerosis.  Venous Thromboembolism Prevention.  Maternal & Child Health. 

Contact Details:

 ruth.m.hadfield@gmail.com
 0415569926
 http://mediwrite.com.au

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Ruth Hadfield


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Upcoming Webinar - Statistics for Medical Writers

AMWA is pleased to bring you the first webinar of 2026. Presented by Dr Richard Kay, this webinar will give you a clear, logical structure for thinking about statistical methodology in pharmaceutical R&D. You'll be introduced to methods used in different settings, which are driven by the endpoint type, with a particular focus on binary (odds ratios, relative risks) and time to event (Kaplan-Meier curves, hazard ratios) endpoints. Ideas behind p-values, confidence intervals, and powering a study to detect important levels of effect will be covered. Each concept will be illustrated with case studies.


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