From MFKP_wiki

Jump to: navigation, search

Selection: with tag p-value [10 articles] 

 

Big names in statistics want to shake up much-maligned P value

  
Nature, Vol. 548, No. 7665. (26 July 2017), pp. 16-17, https://doi.org/10.1038/nature.2017.22375

Abstract

One of scientists’ favourite statistics — the P value — should face tougher standards, say leading researchers. [Excerpt] Science is in the throes of a reproducibility crisis, and researchers, funders and publishers are increasingly worried that the scholarly literature is littered with unreliable results. Now, a group of 72 prominent researchers is targeting what they say is one cause of the problem: weak statistical standards of evidence for claiming new discoveries. [\n] In many disciplines the significance of findings is judged by ...

 

Statistical analysis

  
In Science: editorial policies (2016)

Abstract

[Excerpt: Statistical analysis] Generally, authors should describe statistical methods with enough detail to enable a knowledgeable reader with access to the original data to verify the results. [::] Data pre-processing steps such as transformations, re-coding, re-scaling, normalization, truncation, and handling of below detectable level readings and outliers should be fully described; any removal or modification of data values must be fully acknowledged and justified. [::] [...] [::] The number of sampled units, N, upon which each reported statistic is based must be stated. [::] For continuous ...

 

Sailing from the seas of chaos into the corridor of stability: practical recommendations to increase the informational value of studies

  
Perspectives on psychological science : a journal of the Association for Psychological Science, Vol. 9, No. 3. (01 May 2014), pp. 278-292, https://doi.org/10.1177/1745691614528520

Abstract

Recent events have led psychologists to acknowledge that the inherent uncertainty encapsulated in an inductive science is amplified by problematic research practices. In this article, we provide a practical introduction to recently developed statistical tools that can be used to deal with these uncertainties when performing and evaluating research. In Part 1, we discuss the importance of accurate and stable effect size estimates as well as how to design studies to reach a corridor of stability around effect size estimates. In ...

 

(INRMM-MiD internal record) List of keywords of the INRMM meta-information database - part 24

  
(February 2014)
Keywords: inrmm-list-of-tags   overlapping-clustering   overspecialization   overview   overwhelming-uncertainty   oxalis-spp   ozone   p-value   pacific-islands   paleo-climate   paleo-data   paleobiogeography   paleobiology   paleobotany   paleoclimate-dynamics   paleoclimatic-models   paleoclimatology   paleoecology   paleoenvironment   paleohydrology   paleolithic   paliurus-spina-christi   palynology   pandanus-tectorius   panicum-spp   paper   papua-new-guinea   paradox   paragnetina   parallelism   paranthrene-tabaniformis   parasite   parasitism   parasitoid-recruitment   pareto-distribution   pareto-frontier   pareto-principle   parkinsonia-aculeata   parkinsonia-florida   parrotia-persica   parthenolecanium-corni   partial-open-loop-feedback-control   partial-protection   partial-uprooting   participation   participatory-modelling   particle-swarm-optimisation   particle-swarm-optimization   particulate-matter   partitioning   past-observations   pastoral-activities   pasture   patch-dynamics   paternity-analysis   pathogens   pattern   paulownia-tomentosa   payoff-vs-cost   pca   peak   peak-ground-acceleration   peatlands   pedogenesis-model   pedogenic-factors   peer-review   pellets   peloponnese   peltogyne-purpurea   percent   perl   permafrost   permanent-plot   persea-borbonia   perspective   perspective-article   peru   pesera   pesotum-synnemata   ph   phacidium-infestans   phaenops-spp   phaeoacremonium-aleophilum   phaeocryptopus-gaeumannii   phaeostigma-notata   pharmacology   phassus-excrescens   phellodendron-amurense   phenolic-compounds   phenolics   phenology   phenotypes-vs-genotypes   philadelphus-coronarius   philaenus-spumarius   phillyrea-latifolia   phloemyzus-passerinii  

Abstract

List of indexed keywords within the transdisciplinary set of domains which relate to the Integrated Natural Resources Modelling and Management (INRMM). In particular, the list of keywords maps the semantic tags in the INRMM Meta-information Database (INRMM-MiD). [\n] The INRMM-MiD records providing this list are accessible by the special tag: inrmm-list-of-tags ( http://mfkp.org/INRMM/tag/inrmm-list-of-tags ). ...

 

Consistent and clear reporting of results from diverse modeling techniques: the A3 method

  
Journal of Statistical Software, Vol. 66, No. 7. (2015), https://doi.org/10.18637/jss.v066.i07

Abstract

The measurement and reporting of model error is of basic importance when constructing models. Here, a general method and an R package, A3, are presented to support the assessment and communication of the quality of a model fit along with metrics of variable importance. The presented method is accurate, robust, and adaptable to a wide range of predictive modeling algorithms. The method is described along with case studies and a usage guide. It is shown how the method can be used ...

 

The statistical crisis in science

  
American Scientist, Vol. 102, No. 6. (2014), 460, https://doi.org/10.1511/2014.111.460

Abstract

Data-dependent analysis—a “garden of forking paths”— explains why many statistically significant comparisons don't hold up. [Excerpt] There is a growing realization that reported “statistically significant” claims in scientific publications are routinely mistaken. Researchers typically express the confidence in their data in terms of p-value: the probability that a perceived result is actually the result of random variation. The value of p (for “probability”) is a way of measuring the extent to which a data set provides evidence against a so-called null hypothesis. ...

 

Statistics: P values are just the tip of the iceberg

  
Nature, Vol. 520, No. 7549. (28 April 2015), pp. 612-612, https://doi.org/10.1038/520612a

Abstract

Ridding science of shoddy statistics will require scrutiny of every step, not merely the last one, say Jeffrey T. Leek and Roger D. Peng. [Excerpt] There is no statistic more maligned than the P value. Hundreds of papers and blogposts have been written about what some statisticians deride as 'null hypothesis significance testing' (NHST; see, for example, go.nature.com/pfvgqe). NHST deems whether the results of a data analysis are important on the basis of whether a summary statistic (such as a P value) ...

 

The extent and consequences of p-hacking in science

  
PLoS Biology, Vol. 13, No. 3. (13 March 2015), e1002106, https://doi.org/10.1371/journal.pbio.1002106

Abstract

A focus on novel, confirmatory, and statistically significant results leads to substantial bias in the scientific literature. One type of bias, known as “p-hacking,” occurs when researchers collect or select data or statistical analyses until nonsignificant results become significant. Here, we use text-mining to demonstrate that p-hacking is widespread throughout science. We then illustrate how one can test for p-hacking when performing a meta-analysis and show that, while p-hacking is probably common, its effect seems to be weak relative to the ...

 

Editorial

  
Basic and Applied Social Psychology, Vol. 37, No. 1. (2 January 2015), pp. 1-2, https://doi.org/10.1080/01973533.2015.1012991

Abstract

[Excerpt] The Basic and Applied Social Psychology (BASP) 2014 Editorial emphasized that the null hypothesis significance testing procedure (NHSTP) is invalid, and thus authors would be not required to perform it (Trafimow, 2014). However, to allow authors a grace period, the Editorial stopped short of actually banning the NHSTP. The purpose of the present Editorial is to announce that the grace period is over. From now on, BASP is banning the NHSTP. With the banning of the NHSTP from BASP, what are ...

References

  1. Chihara , C. S., 1994. The Howson-Urbach proofs of Bayesian principles. In E. Eells & B. Skyrms (Eds.), Probability and conditionals: Belief revision and rational decision (pp. 161 – 178 ). New York , NY : Cambridge University Press .
  2. Fisher , R. A., 1973. Statistical methods and scientific inference, 3rd ed. . London , England : Collier Macmillan .
  3. Glymour , C., 1980. Theory and evidence . Princeton , NJ
 

Scientific method: statistical errors

  
Nature, Vol. 506, No. 7487. (12 February 2014), pp. 150-152, https://doi.org/10.1038/506150a

Abstract

P values, the 'gold standard' of statistical validity, are not as reliable as many scientists assume. ...

This page of the database may be cited as:
Integrated Natural Resources Modelling and Management - Meta-information Database. http://mfkp.org/INRMM/tag/p-value

Publication metadata

Bibtex, RIS, RSS/XML feed, Json, Dublin Core

Meta-information Database (INRMM-MiD).
This database integrates a dedicated meta-information database in CiteULike (the CiteULike INRMM Group) with the meta-information available in Google Scholar, CrossRef and DataCite. The Altmetric database with Article-Level Metrics is also harvested. Part of the provided semantic content (machine-readable) is made even human-readable thanks to the DCMI Dublin Core viewer. Digital preservation of the meta-information indexed within the INRMM-MiD publication records is implemented thanks to the Internet Archive.
The library of INRMM related pubblications may be quickly accessed with the following links.
Search within the whole INRMM meta-information database:
Search only within the INRMM-MiD publication records:
Full-text and abstracts of the publications indexed by the INRMM meta-information database are copyrighted by the respective publishers/authors. They are subject to all applicable copyright protection. The conditions of use of each indexed publication is defined by its copyright owner. Please, be aware that the indexed meta-information entirely relies on voluntary work and constitutes a quite incomplete and not homogeneous work-in-progress.
INRMM-MiD was experimentally established by the Maieutike Research Initiative in 2008 and then improved with the help of several volunteers (with a major technical upgrade in 2011). This new integrated interface is operational since 2014.