• Publications
  • Influence
Justify your alpha
In response to recommendations to redefine statistical significance to P ≤ 0.005, we propose that researchers should transparently report and justify all choices they make when designing a study,Expand
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Regression assumptions in clinical psychology research practice—a systematic review of common misconceptions
Misconceptions about the assumptions behind the standard linear regression model are widespread and dangerous. These lead to using linear regression when inappropriate, and to employing alternativeExpand
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SIMAGE: simulation of DNA-microarray gene expression data
tl;dr
We introduce a model for the simulation of dual-dye cDNA-microarray data closely resembling real data and introduce a web-implementation for simulating gene expressions. Expand
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A generally applicable validation scheme for the assessment of factors involved in reproducibility and quality of DNA-microarray data
BackgroundIn research laboratories using DNA-microarrays, usually a number of researchers perform experiments, each generating possible sources of error. There is a need for a quick and robust methodExpand
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Implementing the flipped classroom: an exploration of study behaviour and student performance
The flipped classroom is becoming more popular as a means to support student learning in higher education by requiring students to prepare before lectures and actively engaging students duringExpand
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When power analyses based on pilot data are biased: Inaccurate effect size estimators and follow-up bias
Abstract When designing a study, the planned sample size is often based on power analyses. One way to choose an effect size for power analyses is by relying on pilot data. A-priori power analyses areExpand
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Patient-related outcomes five years after coronary artery bypass graft surgery.
For five years, we prospectively studied 353 consecutive patients undergoing first-time coronary artery bypass graft surgery (CABG) for stable angina in the North of England. Angina was presentExpand
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Multivariate forecasting of road traffic flows in the presence of heteroscedasticity and measurement errors
Linear multiregression dynamic models, which combine a graphical representation of a multivariate time series with a state space model, have been shown to be a promising class of models forExpand
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Introducing Computer-Based Testing in High-Stakes Exams in Higher Education: Results of a Field Experiment
The introduction of computer-based testing in high-stakes examining in higher education is developing rather slowly due to institutional barriers (the need of extra facilities, ensuring testExpand
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Flexibility in use: Switching behaviour and satisfaction in activity-based work environments
Purpose Despite their growing popularity among organisations, satisfaction with activity-based work (ABW) environments is found to be below expectations. Research also suggests that workersExpand
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