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About Me

Gold Coast

Location:

Gold Coast

Qualifications:

Bachelor of Arts (Psychology and Philosophy)

Experience:

10+ years of medical journalism, writing for doctors in Australia

Writer Categories:

Consumer Education.  Editor.  Journalism.  Pharmaceutical.  Promotion/marketing.  Public Speaker.  Researcher.  Writer.  Health Professional Education.  Manuscript Preparation.  Systematic Reviews & Meta-analysis.  Proofreading.  Blogs.  Website Copywriting. 

Specialty Topics:

Asthma.  Cancer.  Cardiology.  Chronic Health Conditions.  Chronic Obstructive Pulmonary Disease (COPD).  COVID-19.  Dementia.  Diabetes.  Epidemiology.  Healthy Aging.  Immunology.  Medical Devices.  Men's Health.  Mental Health.  Neuroscience.  Nutrition.  Oncology.  Paediatrics.  Pharmacology.  Pregnancy.  Public Health.  Rare Diseases.  Virology.  Women's Health.  Neurology.  Medical Cannabis.  Psychology.  Evidence-based Medicine.  GP Education.  Humour.  Medical Editing.  Transparency.  Surgery.  Gastroenterology.  Geriatrics.  HIV.  Psychiatry.  Haematology.  Therapeutic Goods Regulation.  Health Science.  Medical Science.  Infant Formula.  Rural Health.  Respiratory.  Endocrinology.  Zoonotic Diseases.  Allergy.  Population Health.  Gynaecology.  Maternal & Child Health.  Alzheimer's Disease.  Anaemia.  Atrial Fibrillation.  Depression.  Metabolomics.  Pharmacokinetics.  Psychopharmacology.  Biomedical Science.  Antimicrobial Resistance.  Gut Health. 

Contact Details:

 ruby@eml.cc
 0434674005

Profile Shot: Ruby Prosser scully


Ruby Prosser scully


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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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