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Published in 2019 at "Journal of American College Health"
DOI: 10.1080/07448481.2018.1470091
Abstract: Abstract Understanding the unique health needs of college students and establishing best practices to address them depend, heavily, on the inherent quality and contribution of the research identifying these needs. College health-focused publications currently exemplify…
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Keywords:
research;
college;
significance testing;
college health ... See more keywords
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Published in 2017 at "American journal of epidemiology"
DOI: 10.1093/aje/kwx261
Abstract: In the last few years, stakeholders in the scientific community have raised alarms about a perceived lack of reproducibility of scientific results. In reaction, guidelines for journals have been promulgated and grant applicants have been…
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Keywords:
hypothesis significance;
reproducibility;
significance testing;
null hypothesis ... See more keywords
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Published in 2022 at "Acta obstetricia et gynecologica Scandinavica"
DOI: 10.1111/aogs.14366
Abstract: Traditional null hypothesis significance testing (NHST) incorporating the critical level of significance of 0.05 has become the cornerstone of decision-making in health care, and nowhere less so than in obstetric and gynecological research. However, such…
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Keywords:
significance testing;
hypothesis significance;
current controversies;
significance ... See more keywords
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Published in 2018 at "Biometrics"
DOI: 10.1111/biom.12767
Abstract: Genotype eigenvectors are widely used as covariates for control of spurious stratification in genetic association. Significance testing for the accompanying eigenvalues has typically been based on a standard Tracy-Widom limiting distribution for the largest eigenvalue,…
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Keywords:
genetic association;
significance testing;
eigenvalue;
approach ... See more keywords
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Published in 2017 at "BMC Bioinformatics"
DOI: 10.1186/s12859-017-1527-x
Abstract: BackgroundCell image segmentation (CIS) is an essential part of quantitative imaging of biological cells. Designing a performance measure and conducting significance testing are critical for evaluating and comparing the CIS algorithms for image-based cell assays…
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Keywords:
ter;
measure;
cis algorithms;
significance testing ... See more keywords
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Published in 2017 at "F1000Research"
DOI: 10.12688/f1000research.6963.5
Abstract: Although thoroughly criticized, null hypothesis significance testing (NHST) remains the statistical method of choice used to provide evidence for an effect, in biological, biomedical and social sciences. In this short guide, I first summarize the…
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Keywords:
null hypothesis;
significance testing;
guide;
significance ... See more keywords
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Published in 2018 at "Journal of thoracic disease"
DOI: 10.21037/jtd.2018.10.66
Abstract: Randomized clinical trials have demonstrated the positive effects of epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKIs) for patients with advanced or recurrent lung adenocarcinomas harboring EGFR gene mutations (1-3). Detecting cancer-specific gene mutations and exploring…
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Keywords:
gene mutations;
mutations lung;
significance testing;
tp53 gene ... See more keywords
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Published in 2017 at "Frontiers in Human Neuroscience"
DOI: 10.3389/fnhum.2017.00390
Abstract: Null hypothesis significance testing (NHST) has several shortcomings that are likely contributing factors behind the widely debated replication crisis of (cognitive) neuroscience, psychology, and biomedical science in general. We review these shortcomings and suggest that,…
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Keywords:
research;
null hypothesis;
significance testing;
hypothesis significance ... See more keywords
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Published in 2019 at "Econometrics"
DOI: 10.3390/econometrics7020026
Abstract: There has been much debate about null hypothesis significance testing, p-values without null hypothesis significance testing, and confidence intervals. The first major section of the present article addresses some of the main reasons these procedures…
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Keywords:
significance testing;
frequentist alternative;
significance;
testing values ... See more keywords