Associate Professor Peter Malliaras is a physiotherapist and leading researcher with expertise in tendinopathy. Peter has lead a number of clinical trials to assess the efficacy and effectiveness of interventions for people with musculoskeletal conditions.
In this episode, Luke and Pat interview Peter to learn more about bias and confounding in research and how to appreciate and understand uncertainty in science.
Examples of biases and confounding
Selection, performance, observation, detection and attrition bias in clinical...
Associate Professor Peter Malliaras is a physiotherapist and leading researcher with expertise in tendinopathy. Peter has lead a number of clinical trials to assess the efficacy and effectiveness of interventions for people with musculoskeletal conditions.
In this episode, Luke and Pat interview Peter to learn more about bias and confounding in research and how to appreciate and understand uncertainty in science.
- Examples of biases and confounding
- Selection, performance, observation, detection and attrition bias in clinical trials
- Other factors that can explain outcomes of treatment and clinical trials - specific and non-specific treatment effects
- Why all of this matters to researchers, clinicians and patients
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@MonashMRU
@drpetemalliaras
@pat_vallance
@lukeperraton
Podcast cover, music and bumper by Kate Vallance, Content Creator, Freelance. E: hooroocreative@gmail.com
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