Literature DB >> 23625122

Misuse of null hypothesis significance testing: would estimation of positive and negative predictive values improve certainty of chemical risk assessment?

Mirco Bundschuh1, Michael C Newman, Jochen P Zubrod, Frank Seitz, Ricki R Rosenfeldt, Ralf Schulz.   

Abstract

Although generally misunderstood, the p value is the probability of the test results or more extreme results given H0 is true: it is not the probability of H0 being true given the results. To obtain directly useful insight about H0, the positive predictive value (PPV) and the negative predictive value (NPV) may be useful extensions of null hypothesis significance testing (NHST). They provide information about the probability of statistically significant and non-significant test outcomes being true based on an a priori defined biologically meaningful effect size. The present study explores the utility of PPV and NPV in an ecotoxicological context by using the frequently applied Daphnia magna reproduction test (OECD guideline 211) and the chemical stressor lindane as a model system. The results indicate that especially the NPV deviates meaningfully between a test design strictly following the guideline and an experimental procedure controlling for α and β at the level of 0.05. Consequently, PPV and NPV may be useful supplements to NHST that inform the researcher about the level of confidence warranted by both statistically significant and non-significant test results. This approach also reinforces the value of considering α, β, and a biologically meaningful effect size a priori.

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Year:  2013        PMID: 23625122     DOI: 10.1007/s11356-013-1749-z

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  13 in total

1.  Assessing the probability that a positive report is false: an approach for molecular epidemiology studies.

Authors:  Sholom Wacholder; Stephen Chanock; Montserrat Garcia-Closas; Laure El Ghormli; Nathaniel Rothman
Journal:  J Natl Cancer Inst       Date:  2004-03-17       Impact factor: 13.506

2.  Bad habits die hard: the NOEC's persistence reflects poorly on ecotoxicology.

Authors:  Tjalling Jager
Journal:  Environ Toxicol Chem       Date:  2012-02       Impact factor: 3.742

Review 3.  Effect size, confidence interval and statistical significance: a practical guide for biologists.

Authors:  Shinichi Nakagawa; Innes C Cuthill
Journal:  Biol Rev Camb Philos Soc       Date:  2007-11

4.  Is the ECx a legitimate surrogate for a NOEC?

Authors:  David R Fox
Journal:  Integr Environ Assess Manag       Date:  2009-04       Impact factor: 2.992

5.  "What exactly are you inferring?" A closer look at hypothesis testing.

Authors:  Michael C Newman
Journal:  Environ Toxicol Chem       Date:  2008-05       Impact factor: 3.742

6.  A Bayesian approach for determining the no effect concentration and hazardous concentration in ecotoxicology.

Authors:  David R Fox
Journal:  Ecotoxicol Environ Saf       Date:  2010-02       Impact factor: 6.291

7.  Ecotoxicological impact of the fungicide tebuconazole on an aquatic decomposer-detritivore system.

Authors:  Jochen P Zubrod; Mirco Bundschuh; Alexander Feckler; Dominic Englert; Ralf Schulz
Journal:  Environ Toxicol Chem       Date:  2011-10-14       Impact factor: 3.742

8.  Diagnostic tests 2: Predictive values.

Authors:  D G Altman; J M Bland
Journal:  BMJ       Date:  1994-07-09

9.  The potential of individual based population models to extrapolate effects measured at standardized test conditions to relevant environmental conditions--an example for 3,4-dichloroaniline on Daphnia magna.

Authors:  Thomas G Preuss; M Hammers-Wirtz; H T Ratte
Journal:  J Environ Monit       Date:  2010-09-10

10.  Effect of food level on the acute and chronic responses of daphnids to lindane.

Authors:  Sara C Antunes; Bruno B Castro; Fernando Gonçalves
Journal:  Environ Pollut       Date:  2004       Impact factor: 8.071

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  1 in total

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

Authors:  Mirco Bundschuh; Michael C Newman; Jochen P Zubrod; Frank Seitz; Ricki R Rosenfeldt; Ralf Schulz
Journal:  Environ Sci Pollut Res Int       Date:  2014-10-30       Impact factor: 4.223

  1 in total

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