(All times are Helsinki times)
- 11:00-13:00: Invited session “Stochastic processes in biostatistics” (Zoom link: NBBC21 main)
- Organiser and chair: Elja Arjas, University of Helsinki, Finland,
- Speaker 1: Kjetil Røysland: Causal inference with event history data based on the stochastic differential equations
- Speaker 2: Susanne Ditlevsen: The why and how of randomness
- Speaker 3: Kristi Kuljus: Segmentation in Bayesian hidden Markov models
- Discussant: Dario Gasbarra, University of Helsinki, Finland
- 13:00-15:30: Break
- 15:30-17:30: Invited session “Statistical analysis of networks” (Zoom link: NBBC21 main)
- Organiser and chair: Ilkka Norros, University of Helsinki, Finland
- Speaker 1: Lasse Leskelä: Clustering and percolation on superpositions of Bernoulli random graphs
- Speaker 2: Mindaugas Bloznelis: On subgraph counts in sparse complex networks
- Speaker 3: Pieter Trapman: The duration of an SIR epidemic on a configuration model
- Discussant: Ilkka Norros, University of Helsinki, Finland
- 17:30-18:00: Break
- 18:00-20:00: Invited session “Statistical significance and its use/misuse in medical statistics” (Zoom link: NBBC21 main)
- Organiser and chair: Ziad Taib, Chalmers University of Technology, Sweden
- Speaker 1: Sander Greenland: The ways in which P-values measure evidence (Click here, Part 1 and Part 2, to download slides)
- Speaker 2: Maya Mathur: Avoiding significance fetishism in meta-analyses and replication studies: Pitfalls and reporting recommendations (Click here to download slides)
- Speaker 3: Szilárd Nemes: Decision making beyond p-values in phase II Proof of Concept (PoC) studies for chronic diseases
- Discussant: Esa Läärä, University of Oulu, Finland (Click here to download slides)
- Additional references:
- https://academic.oup.com/aje/article/190/2/191/5869593#
- https://bmcmedresmethodol.biomedcentral.com/articles/10.1186/s12874-020-01105-9
- https://academic.oup.com/aje/article/186/6/639/3886035
