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Statistics help

På svenska

Struggling to design an experiment or make sense of your data? Can’t decide what analysis is best? Lost in the woods trying to get your model to run or interpret the results? Contact the Biology Statistics Help Service!

We are a team of researchers, postdocs, and faculty members available to all at the Department of Biology for research-related statistical consultation.

The Statistic service is free of charge, but we appreciate acknowledgements by name if our help improves work that is eventually published. Should a question require further analysis, complex modelling, or other extraordinary efforts, we can assist in forwarding the question to a suitable specialist.

The team consists of fellow biologists with a strong background in various areas of statistics and quantitative biology and a passion for working with students and colleagues to understand statistical issues connected to biological research. We also hold public seminars each semester to present and discuss frequently encountered statistical questions or methods.

Meet the team

Portrait of Nikolay Oskolkov. Photo.

Nikolay Oskolkov

Coordinator of the statistics help
Nikolay Oskolkov's page in the Research portal
Areas of expertise: Data science, bioinformatics, and machine learning.
Headshot of Colin Olito. Photo.

Colin Olito

Co-coordinator of the statistics help
Colin Olito's page in the Research portal
Areas of expertise: Generalised linear and mixed-effects models, bayesian mixed-effects regression, population genetics, and network analyses. Also, mathematical modelling and evolutionary theory.
A person is holding an animal skeleton. Photo.

Masahito Tsuboi

Masahito Tsuboi's page in the Research portal
Areas of expertise: Multivariate statistics, geometric morphometrics, phylogenetic comparative methods, measurement theory.
Portrait of Katrine Lund-Hansen. Photo.

Katrine Lund-Hansen

Katrine Lund-Hansen's page in the Research portal
Areas of expertise: Linear and mixed-effects models, empirical data management in R.
Portrait of Whei-yen Chen. Photo.

Hwei-yen Chen

Hwei-yen Chen's page in the Research portal
Areas of Expertise: GLMMs, data management, and plotting in R (ggplot).
Portrait of Pamela Santana. Photo.

Pamela Santana

Pamela Santana's web page in the Research Portal
Area of expertise: Generalised linear and mixed-effects models, empirical data, network analysis

Contact

The service is open every Tuesday during academic terms, where at least one team member is available for consultation in the Ecology Building 2nd floor tearoom, or digitally via Zoom (see departmental calendar).

Appointments can be pre-booked by email (stats [dot] help [at] biol [dot] lu [dot] se), or you can just drop in at the next session.

Planned dates for statistic help

See when you can get help in our internal Google calendar.

Page manager: Inger [dot] Ekstrom [at] biol [dot] lu [dot] se | 16 Sep 2024