Preprints (not yet peer-reviewed)

490 downloads
2,754 views

There is a massive crisis of confidence in statistical inference, which has largely been attributed to overemphasis on and abuse of hypothesis testing. Much of the abuse stems from failure to recognize that statistical tests not only test hypotheses, but countless...

["Science and Medical Education","Science Policy","Statistics","Data Science"]
doi:10.7287/peerj.preprints.26857v1
32 downloads
101 views

Deciding sample-size is a key step in any study based on statistical inference. Recently, a pioneer methodology applicable in the multivariate context was proposed by Anderson & Santana-Garcon (2015, DOI: 10.1111/ele.12385). This method is based on estimating the...

["Biodiversity","Ecology","Marine Biology","Statistics"]
doi:10.7287/peerj.preprints.26823v1
506 downloads
859 views

We suggest twenty immediately actionable steps to reduce widespread inferential errors related to “statistical significance testing.” Our propositions refer first to the theoretical preconditions for using p-values. They furthermore include wording guidelines as...

["Science Policy","Statistics"]
doi:10.7287/peerj.preprints.3482v3
169 downloads
785 views

The proposed protocol is for a systematic review and meta-analysis on the effects of whole-grains (WG) on non-communicable diseases such as type 2 diabetes, cardiovascular disease, hypertension and obesity. The primary objectives is to explore the mechanisms of...

["Agricultural Science","Nutrition","Public Health","Science and Medical Education","Statistics"]
doi:10.7287/peerj.preprints.26710v1
293 downloads
508 views

Normalization is the first critical step in microbiome sequencing data analysis used to account for variable library sizes. Current RNA-Seq based normalization methods that have been adapted for microbiome data fail to consider the unique characteristics of microbiome...

["Bioinformatics","Genomics","Statistics"]
doi:10.7287/peerj.preprints.3417v3
120 downloads
238 views

In daily life we are often forced to choose between the “lesser of two evils,” yet there remains limited understanding of how the brain encodes choices between aversive stimuli, particularly choices involving hypothetical futures. We tested how choice framing affects...

["Psychiatry and Psychology","Statistics"]
doi:10.7287/peerj.preprints.3340v2
154 downloads
330 views

Color is a central aspect of biology, with important impacts on ecology and evolution. Organismal color may be adaptive or incidental, seasonal or permanent, species- or population-specific, or modified for breeding, defense or camouflage. Thus, measuring and comparing...

["Biodiversity","Evolutionary Studies","Statistics"]
doi:10.7287/peerj.preprints.26487v1
23,301 downloads
63,522 views

The website Sci-Hub enables users to download PDF versions of scholarly articles, including many articles that are paywalled at their journal’s site. Sci-Hub has grown rapidly since its creation in 2011, but the extent of its coverage was unclear. Here we report...

["Bioinformatics","Legal Issues","Science and Medical Education","Statistics","Computational Science"]
doi:10.7287/peerj.preprints.3100v3
350 downloads
497 views

We present survey questions useful for describing agricultural seed systems. The questions are designed so that they can be used for standardized comparisons among seed systems, addressing both networks for seed movement and networks for the communication of information...

["Agricultural Science","Microbiology","Plant Science","Statistics","Coupled Natural and Human Systems"]
doi:10.7287/peerj.preprints.2806v2
2,062 downloads
3,966 views

The use of linear mixed effects models (LMMs) is increasingly common in the analysis of biological data. Whilst LMMs offer a flexible approach to modelling a broad range of data types, ecological data are often complex and require complex model structures, and...

["Ecology","Evolutionary Studies","Statistics"]
doi:10.7287/peerj.preprints.3113v2
449 downloads
691 views

The area under the receiver operating characteristic (ROC) curve (AUC) is commonly used for assessing the discriminative ability of prediction models even though the measure is criticized for being clinically irrelevant and lacking an intuitive interpretation....

["Epidemiology","Statistics"]
doi:10.7287/peerj.preprints.3468v1
37 downloads
138 views

Good control of experiment variability is critical to experiment success, and many methods are available for quantifying variation in data. Popular methods for measuring variability in data typically uses a statistical distribution such as a standard normal distribution,...

["Statistics"]
doi:10.7287/peerj.preprints.3460v1
29 downloads
105 views

Improper reporting of diagnostic studies leads to an incorrect assessment of their clinical performance. STARD (Standards for Reporting of Diagnostic Accuracy Studies) checklist was launched in 2003 with the intention of improving reporting quality in diagnostic...

["Science and Medical Education","Statistics"]
doi:10.7287/peerj.preprints.3413v1
106 downloads
412 views

Statistical significance provides evidence for or against an explanation of a population of interest, not a description of data sampled from the population. This simple distinction gets ignored in hundreds of thousands of research publications yearly, which confuse...

["Ecology","Evidence Based Medicine","Oncology","Statistics","Environmental Impacts"]
doi:10.7287/peerj.preprints.3394v1
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