Interpreting Causal studies
Session overview
Causal studies help us understand how patient‑related factors influence outcomes and how effective different interventions truly are. They provide the strongest evidence to guide clinical decision‑making.
In this session, we’ll explore how to interpret studies that address causal questions, including what to consider when deciding how much confidence to place in their findings.
NB: No previous knowledge is required to attend this seminar however you may like to review the previous RR-CLaN seminar (Seminar 2: The classes of quantitative research: description, prediction and causal inference) that explained how research questions can be classified as descriptive, predictive or causal.
During this session, you will learn about:
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The types of causal questions addressed in the clinical research literature
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The key features of research design for causal studies
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Assessing risk of bias in causal research
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Interpreting the results of causal studies
DATE
Wednesday 1st April 2026, 3:00pm-4:00pm (AEDT) (NB: QLD 2:00pm-3:00pm)
Location
Microsoft Teams - Once you have registered the meeting link will be provided in the confirmation email and calender invitation.
** Please note: All seminars are recorded and will be posted to the RR-CLaN YouTube channel after the session. If this seminar interests you, please register—even if you cannot attend live—as you will receive an email notification when the recording is available, along with any resources shared during the session.
About the Presenter
Steve Kamper is Professor of Allied Health at University of Sydney and Nepean Blue Mountains LHD. He likes appropriately interpreted research, cold beer, and considers zip-lock bags to be under-rated technology.
Who are the Rural Research Collaborative Learning Network (RR-CLaN)?
The RR-CLaN is a rural led initiative that aims to provide high-quality research education and training to healthcare staff working in rural, regional and remote areas. Our aim is to provide you with the education and training opportunities to build key skills in how to use and undertake research to improve healthcare delivery.
RR-CLaN collaborators:
NSW: Central Coast Local Health District; Far West Local Health District; Hunter New England Local Health District; Illawarra Shoalhaven Local Health District; Mid North Coast Local Health District; Murrumbidgee Local Health District; Nepean Blue Mountains Local Health District; Northern New South Wales Local Health District; Southern New South Wales Local Health District; Western New South Wales Local Health District; Health Education and Training Institute (HETI).
QLD: Tropical Australian Academic Health Centre (supporting Townsville Hospital and Health Service; Cairns and Hinterland Hospital and Health Service; Mackay Hospital and Health Service; North West Hospital and Health Service; Torres and Cape Hospital and Health Service); Darling Downs Health Innovation and Research Collaborative; Darling Downs, South West Hospital and Wide Bay Hospital and Health Service.
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