Expert statistical support for researchers in medicine, nursing, allied health, public health, epidemiology, and clinical research — rigorous, clearly communicated, and available to any researcher across Australia.
We work with researchers at every career stage, across every health and medical discipline.
Whether you are a GP, specialist, or registrar conducting research alongside clinical practice — or a full-time medical researcher — we provide statistical analysis, research design, and methodology support for clinical studies, audits, and ethics submissions.
We support nurses, physiotherapists, occupational therapists, speech pathologists, midwives, and other allied health professionals with the statistical analysis and research design their projects require.
Complex public health datasets, population surveys, cohort studies, and epidemiological analyses — we work with the methods this research demands, including multilevel modelling and survival analysis.
We support researchers across pharmacy, dentistry, nutrition, biomedical science, and health services research with the same rigorous, collaborative approach.
A selection of the methods we regularly use in health and medical research:
Kaplan-Meier curves, Cox proportional hazards, competing risks models, and time-to-event analysis for clinical outcomes research.
Binary and multinomial logistic regression, Poisson and negative binomial models for count data, and risk factor analysis.
Linear and generalised mixed models (LMM/GLMM), repeated measures ANOVA, and longitudinal data analysis.
Sample size and power analysis for RCTs, intention-to-treat analysis, and statistical sections for ethics submissions.
Cronbach's alpha, confirmatory factor analysis (CFA), convergent and discriminant validity — for health instruments and patient-reported outcomes.
Hierarchical linear models for clustered data — patients within hospitals, students within schools, repeated measures within individuals.
Sample size calculation, power analysis, sampling strategy, and methodology planning before data collection.
Full statistical analysis from data cleaning through to modelling, interpretation, and a detailed technical report.
Statistical analysis and methodology support for manuscripts submitted to peer-reviewed medical and health journals.
Statistical sections for ARC and NHMRC grant applications — sample size justification, proposed analytical approach, and power analysis.
Biostatistical consulting is a professional collaboration between a researcher and a qualified statistician. In health and medical research, this kind of support is particularly valuable because the methods involved — survival analysis, mixed models, clinical trial design, instrument validation — require specialist expertise that most clinicians and health researchers are not expected to possess.
A good biostatistical consultant does not just run your numbers: they work with you so that you understand the methodology, can present the results clearly, and are fully prepared to defend your approach in a thesis defence, peer review, or before a funding body.
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