56 downloads
575 views

Background Publication bias is a form of scientific misconduct. It threatens the validity of research results and the credibility of science. Although several tests on publication bias exist, no in-depth evaluations are available that examine which test performs...

["Ethical Issues","Science Policy","Statistics"]
doi:10.7717/peerj.4115
65 downloads
610 views

The amino acid content of the proteins encoded by a genome may predict the coding potential of that genome and may reflect lifestyle restrictions of the organism. Here, we calculated the Kullback–Leibler divergence from the mean amino acid content as a metric to...

["Bioinformatics","Computational Biology","Genomics","Microbiology","Statistics"]
doi:10.7717/peerj.4026
34 downloads
411 views

A recurrent question within oncology drug development is predicting phase III outcome for a new treatment using early clinical data. One approach to tackle this problem has been to derive metrics from mathematical models that describe tumour size dynamics termed...

["Mathematical Biology","Clinical Trials","Oncology","Pharmacology","Statistics"]
doi:10.7717/peerj.4111
77 downloads
183 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.3417v2
38 downloads
196 views

Evaluation of depth of anaesthesia (DoA) is critical in clinical surgery. Indices derived from electroencephalogram (EEG) are currently widely used to quantify DoA. However, there are known to be inaccurate under certain conditions; therefore, experienced anaesthesiologists...

["Anaesthesiology and Pain Management","Statistics","Computational Science"]
doi:10.7717/peerj.4067
18 downloads
84 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
71 downloads
329 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
158 downloads
639 views

Checking that models adequately represent data is an essential component of applied statistical inference. Ecologists increasingly use hierarchical Bayesian statistical models in their research. The appeal of this modeling paradigm is undeniable, as researchers...

["Ecology","Marine Biology","Statistics"]
doi:10.7287/peerj.preprints.3390v1
28 downloads
126 views

Background: Haemophilus parasuis is a common porcine respiratory disease that causes high rates of morbidity and mortality in farmed swine. We performed a molecular characterization of antimicrobial resistance genes harbored by H. parasuis from pig farms in China....

["Microbiology","Molecular Biology","Epidemiology","Statistics"]
doi:10.7287/peerj.preprints.3386v1
73 downloads
296 views

A matrix population model is a convenient tool for summarizing per capita survival and reproduction rates (collectively vital rates) of a population and can be used for calculating an asymptotic finite population growth rate (λ) and generation time. These two pieces...

["Conservation Biology","Ecology","Statistics","Natural Resource Management"]
doi:10.7717/peerj.3971
39 downloads
229 views

The sixth mass extinction poses an unparalleled quantitative challenge to conservation biologists. Mathematicians and ecologists alike face the problem of developing models that can scale predictions of extinction rates from populations to the level of a species,...

["Conservation Biology","Ecology","Mathematical Biology","Statistics","Climate Change Biology"]
doi:10.7287/peerj.preprints.3367v1
65 downloads
147 views

Underpowered experiments have three problems: the probability of a false positive result is higher, true effects are harder to detect, and the true effects that are detected tend to have inflated effect sizes. Many biology experiments are underpowered and recent...

["Animal Behavior","Neuroscience","Drugs and Devices","Ethical Issues","Statistics"]
doi:10.7287/peerj.preprints.3363v1
90 downloads
275 views

Structural equation modeling (SEM) is an important research tool, both for path-based model specification, common in the social sciences, and also matrix-based models in heavy use in behavior genetics. We developed umx to give more immediate access, concise syntax...

["Genetics","Psychiatry and Psychology","Science and Medical Education","Statistics"]
doi:10.7287/peerj.preprints.3354v1
213 downloads
1,121 views

Background Differential expression analysis on the basis of RNA-Seq count data has become a standard tool in transcriptomics. Several studies have shown that prior normalization of the data is crucial for a reliable detection of transcriptional differences. Until...

["Bioinformatics","Statistics"]
doi:10.7717/peerj.3859

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