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  • 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
TLDR
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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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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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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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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Patients undergoing coronary artery bypass graft surgery are at high risk of impaired glucose tolerance and diabetes mellitus during the first postoperative year.
This study demonstrates that patients who have undergone coronary artery bypass graft (CABG) surgery have a high prevalence of abnormal glucose tolerance 3 months and 1 year later. Although only 6%Expand
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Intervention and Causality: Forecasting Traffic Flows Using a Dynamic Bayesian Network
TLDR
This article uses a multivariate Bayesian dynamic model called the multiregression dynamic model (MDM) for forecasting traffic flows. Expand
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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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