Daniel Lakens

Olmo van den Akker – Preregistration: Past, Present, and Prospects – PoSE 2024

David F. Urschler – Do we really know what we are talking about? – PoSE 2024

Ana Martinovici – How to detect data fabrication in Qualtrics questionnaires – PoSE 2024

Catarina Dutilh-Novaes – Mistakes in mathematical proofs – PoSE 2024

Rink Hoekstra – The Illusion of Objectivity – PoSE 2024

Fiona Fidler – Can forecasts of replicability improve peer review? – PoSE 2024

Veronika Cheplygina – Shortcuts and shortcomings in machine learning for medical imaging – PoSE 2024

Gerit Pfuhl – Do Norwegian publishing incentives lead to questionable research practices? PoSE 2024

Aurélien Allard – Theory building and replicability – PoSE 2024

Christian Hennig – Understanding statistical inference based on models that aren't true – PoSE 2024

Sample Size Justification - Durham - 04 June 2021

Risky Predictions by Daniel Lakens

Pre-Registration by Daniel Lakens

Replication Studies by Daniel Lakens

Bias Detection (in Meta-Analyses)

Introduction to Meta-Analysis

Mixed Results in Sets of Studies

Do You Really Want to Test a Hypothesis? by Daniel Lakens

Type 1 Error Control by Daniel Lakens

Bayesian Thinking by Daniel Lakens

Bayesian Inference for Binomial Proportions by Daniel Lakens

Binomial Likelihoods by Daniel Lakens

Sample Size Justification by Daniel Lakens

Type 1 and Type 2 errors by Daniel Lakens

What is a p-value? by Daniel Lakens

Frequentist, Likelihood, and Bayesian Approaches to Statistical Inferences by Daniel Lakens

Interview Zoltan Dienes on Statistics and Philosophy of Science

Interview Daniel Simons on Pre-Registration

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