Does bad inference drive out good?
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Summary
It is shown that nonparametric methods are good alternatives to parametric methods when the assumptions for the latter ones are not satisfied, and all journals have their own statisticians to review the statistical method/analysis section in each submitted paper.
- Type
- article
- Published
- 2015-07-01
- Cited by
- 8
- References
- 48
- OpenAlex
- https://openalex.org/W2106392990
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:31174022
Keywords
Statistical inference, Nonparametric statistics, Medical statistics, Publication, Class (philosophy)
References
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- Sorry, wrong number - How to separate fact from fiction in the information age
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- Common statistical and research design problems in manuscripts submitted to high-impact medical journals
- Some notes on the location–scale Cucconi test
- METHODOLOGICAL ISSUES RELATED TO THE ESTIMATION OF FINANCIAL DISTRESS PREDICTION MODELS
- Statistical reviewing policies of medical journals: caveat lector?
- Too good to be true: Publication bias in two prominent studies from experimental psychology
- Applying the exact randomization test in experimental economics
- How to eradicate fraudulent statistical methods: statisticians must do science.
- Could Fisher, Jeffreys and Neyman Have Agreed on Testing?
- Multivariate tri-aspect non-parametric testing
- P-Value Precision and Reproducibility
- Why Permutation Tests are Superior to t and F Tests in Biomedical Research
- Evidence-based practice in nephrology: critical appraisal of nephrology clinical research: were the correct statistical tests used?
- On contemporaneous controls, unlikely outcomes, boxes and replacing the ‘Student’: Good statistical practice in pharmacology, problem 3
Cited by
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- A simulation based method for assessing the statistical significance of logistic regression models after common variable selection procedures
- The future of historical demography. Upside down and inside out
- Smoothed ranks for two or multi-sample location problems
- A new test for two-sample location problem based on empirical distribution function
- Tests for comparison of multiple endpoints with application to omics data
- Inter–industry financial ratio comparison of Japanese and Chinese firms using a permutation based nonparametric method
- permutation based nonparametric method
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