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Big-data science in porous materials: materials genomics and machine learning
By combining metal nodes with organic linkers we can potentially synthesize millions of
possible metal–organic frameworks (MOFs). The fact that we have so many materials opens …
possible metal–organic frameworks (MOFs). The fact that we have so many materials opens …
Power analysis and effect size in mixed effects models: A tutorial
In psychology, attempts to replicate published findings are less successful than expected.
For properly powered studies replication rate should be around 80%, whereas in practice …
For properly powered studies replication rate should be around 80%, whereas in practice …
An introduction to deep reinforcement learning
Deep reinforcement learning is the combination of reinforcement learning (RL) and deep
learning. This field of research has been able to solve a wide range of complex …
learning. This field of research has been able to solve a wide range of complex …
Moving beyond P values: data analysis with estimation graphics
To the Editor—For at least 77 years, the limitations of null-hypothesis significance testing
(NHST) have been discussed, without agreement on a suitable alternative 1, 2. Estimation …
(NHST) have been discussed, without agreement on a suitable alternative 1, 2. Estimation …
The reign of the p-value is over: what alternative analyses could we employ to fill the power vacuum?
The p-value has long been the figurehead of statistical analysis in biology, but its position is
under threat. p is now widely recognized as providing quite limited information about our …
under threat. p is now widely recognized as providing quite limited information about our …
Bayesian inference for psychology. Part I: Theoretical advantages and practical ramifications
Bayesian parameter estimation and Bayesian hypothesis testing present attractive
alternatives to classical inference using confidence intervals and p values. In part I of this …
alternatives to classical inference using confidence intervals and p values. In part I of this …
Inferential statistics as descriptive statistics: There is no replication crisis if we don't expect replication
Statistical inference often fails to replicate. One reason is that many results may be selected
for drawing inference because some threshold of a statistic like the P-value was crossed …
for drawing inference because some threshold of a statistic like the P-value was crossed …
Understanding and interpreting confidence and credible intervals around effect estimates
Introduction Reporting confidence intervals in scientific articles is important and relevant for
evidence-based practice. Clinicians should understand confidence intervals in order to …
evidence-based practice. Clinicians should understand confidence intervals in order to …
A protocol for conducting and presenting results of regression‐type analyses
AF Zuur, EN Ieno - Methods in Ecology and Evolution, 2016 - Wiley Online Library
Scientific investigation is of value only insofar as relevant results are obtained and
communicated, a task that requires organizing, evaluating, analysing and unambiguously …
communicated, a task that requires organizing, evaluating, analysing and unambiguously …
The druggable genome and support for target identification and validation in drug development
Target identification (determining the correct drug targets for a disease) and target validation
(demonstrating an effect of target perturbation on disease biomarkers and disease end …
(demonstrating an effect of target perturbation on disease biomarkers and disease end …