Irina Gaynanova (Texas A&M) describes why she thinks that replicability is a prerequisite for reproducibility in science and how scientists can (personally) start improving the replicability of research. We also discuss how the concepts of replicability/reproducibility can differ according to the domain-specific context and the methods used.
Please forward to any students or colleagues who would find this of interest!
S00 Ep04 Pt 2 with Allison Meisner: Technical Deep-dive Into Optimizing Bespoke Clinical Models
S00 Ep04 Pt 1 with Allison Meisner: Winning the ASA Student Paper Competition and Research Overview
S00 Ep03 Pt03 with Martin Ho and Greg Maislin: The MDD Idea Exchange and Bayesian p-values
S00 Ep03 Pt2 with Martin Ho and Greg Maislin: Bayesian Methods and Digital Health Initiatives
S00 Ep03 with Martin Ho and Greg Maislin Pt 1: MDD Section Activities
S00 Ep02 with Emma Hughes: An Introduction to the IET Innovation Management Technical Network and Innovation in the NHS
S00 Ep01 Pt2: A Nifty Statistical Approach to Vital-Sign Artefact Detection
S00 Ep01 Pt 1: Gaussian Processes for Identifying the Deteriorating Patient
S00 Ep00 with Glen Wright Colopy: Welcome and hello!
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