Addendum to the article: Misuse of null hypothesis significance testing: Would estimation of positive and negative predictive values improve certainty of chemical risk assessment?

Sammanfattning

We argued recently that the positive predictive value (PPV) and the negative predictive value (NPV) are valuable metrics to include during null hypothesis significance testing: They inform the researcher about the probability of statistically significant and non-significant test outcomes actually being true. Although commonly misunderstood, a reported p value estimates only the probability of obtaining the results or more extreme results if the null hypothesis of no effect was true. Calculations of the more informative PPV and NPV require a priori estimate of the probability (R). The present document discusses challenges of estimating R.

Nyckelord

Sample size; Bayesian; Power analysis; Effect size; Type I error rate; Type II error rate

Publicerad i

Environmental Science and Pollution Research
2015, volym: 22, nummer: 5, sidor: 3955-3957
Utgivare: SPRINGER HEIDELBERG

SLU författare

• Bundschuh, Mirco

  • Institutionen för vatten och miljö, Sveriges lantbruksuniversitet
    
  • Universität Koblenz-Landau

UKÄ forskningsämne

Annan biologi

Publikationens identifierare

• DOI: https://doi.org/10.1007/s11356-014-3749-z

Permanent länk till denna sida (URI)

https://res.slu.se/id/publ/68255