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Volumn 22, Issue 18, 2015, Pages 13990-13999

Ecotoxicology is not normal: A comparison of statistical approaches for analysis of count and proportion data in ecotoxicology

Author keywords

Generalized linear models; Power; Simulation; Transformations; Type I error

Indexed keywords

BOOTSTRAPPING; COMPARATIVE STUDY; DATA INTERPRETATION; DATA SET; ECOTOXICOLOGY; ERROR ANALYSIS; LINEARITY; MODEL TEST; PERFORMANCE ASSESSMENT;

EID: 84941169949     PISSN: 09441344     EISSN: 16147499     Source Type: Journal    
DOI: 10.1007/s11356-015-4579-3     Document Type: Article
Times cited : (40)

References (44)
  • 3
    • 84937765930 scopus 로고    scopus 로고
    • Topics in constrained and unconstrained ordination
    • ter Braak CJF, Šmilauer P (2014) Topics in constrained and unconstrained ordination. Plant Ecol. doi:10.1007/s11258-014-0356-5
    • (2014) Plant Ecol.
    • ter Braak, C.J.F.1    Šmilauer, P.2
  • 4
    • 0033955749 scopus 로고    scopus 로고
    • Impact of the fungicide carbendazim in freshwater microcosms. II. Zooplankton, primary producers and final conclusions
    • van den Brink PJ, Hattink J, Brock TCM, Bransen F, van Donk E (2000) Impact of the fungicide carbendazim in freshwater microcosms. II. Zooplankton, primary producers and final conclusions. Aquat Toxicol 48 (2-3):251–264
    • (2000) Aquat Toxicol , vol.48 , Issue.2-3 , pp. 251-264
    • van den Brink, P.J.1    Hattink, J.2    Brock, T.C.M.3    Bransen, F.4    van Donk, E.5
  • 5
    • 84939874172 scopus 로고    scopus 로고
    • The minimum detectable difference (MDD) and the interpretation of treatment-related effects of pesticides in experimental ecosystems
    • COI: 1:STN:280:DC%2BC2M%2FhsVSrtA%3D%3D
    • Brock TCM, Hammers-Wirtz M, Hommen U, Preuss TG, Ratte HT, Roessink I, Strauss T, Van den Brink PJ (2015) The minimum detectable difference (MDD) and the interpretation of treatment-related effects of pesticides in experimental ecosystems. Environ Sci Pollut Res 22(2):1160–1174
    • (2015) Environ Sci Pollut Res , vol.22 , Issue.2 , pp. 1160-1174
    • Brock, T.C.M.1    Hammers-Wirtz, M.2    Hommen, U.3    Preuss, T.G.4    Ratte, H.T.5    Roessink, I.6    Strauss, T.7    Van den Brink, P.J.8
  • 6
    • 0009663357 scopus 로고
    • A multiple comparison procedure for comparing several treatments with a control
    • Dunnett CW (1955) A multiple comparison procedure for comparing several treatments with a control. J Am Stat Assoc 50(272):1096–1121
    • (1955) J Am Stat Assoc , vol.50 , Issue.272 , pp. 1096-1121
    • Dunnett, C.W.1
  • 7
    • 85056168564 scopus 로고    scopus 로고
    • Guidance on tiered risk assessment for plant protection products for aquatic organisms in edge-of-field surface waters
    • EFSA PPR (2013) Guidance on tiered risk assessment for plant protection products for aquatic organisms in edge-of-field surface waters. EFSA J 11(7):3290
    • (2013) EFSA J , vol.11 , Issue.7 , pp. 3290
    • EFSA PPR, P.P.R.1
  • 8
    • 84979491602 scopus 로고    scopus 로고
    • Methods for Measuring the Acute Toxicity of Effluents and Receiving Waters to Freshwater and Marine Organisms. U.S
    • EPA (2002) Methods for Measuring the Acute Toxicity of Effluents and Receiving Waters to Freshwater and Marine Organisms. U.S. Environmental Protection Agency
    • (2002) Environmental Protection Agency
  • 10
    • 33750898613 scopus 로고    scopus 로고
    • The difference between “significant” and “not significant” is not itself statistically significant
    • Gelman A, Stern H (2006) The difference between “significant” and “not significant” is not itself statistically significant. Am Stat 60(4):328–331
    • (2006) Am Stat , vol.60 , Issue.4 , pp. 328-331
    • Gelman, A.1    Stern, H.2
  • 11
    • 0001325611 scopus 로고
    • Wald’s test as applied to hypotheses in logit analysis
    • Hauck WW, Donner A (1977) Wald’s test as applied to hypotheses in logit analysis. J Am Stat Assoc 72(360):851
    • (1977) J Am Stat Assoc , vol.72 , Issue.360 , pp. 851
    • Hauck, W.W.1    Donner, A.2
  • 12
    • 84953740863 scopus 로고    scopus 로고
    • Cambridge University Press, New York
    • Hilbe JM (2014) Modeling Count Data. Cambridge University Press, New York
    • (2014) Modeling Count Data
    • Hilbe, J.M.1
  • 13
    • 0002294347 scopus 로고
    • A simple sequentially rejective multiple test procedure
    • Holm S (1979) A simple sequentially rejective multiple test procedure. Scand J Stat 6(2):65–70
    • (1979) Scand J Stat , vol.6 , Issue.2 , pp. 65-70
    • Holm, S.1
  • 14
    • 84908005952 scopus 로고    scopus 로고
    • Statistical evaluation of toxicological bioassays—a review
    • COI: 1:CAS:528:DC%2BC2cXhtlWls7zE
    • Hothorn LA (2014) Statistical evaluation of toxicological bioassays—a review. Toxicol Res 3(6):418–432
    • (2014) Toxicol Res , vol.3 , Issue.6 , pp. 418-432
    • Hothorn, L.A.1
  • 15
    • 49849092907 scopus 로고    scopus 로고
    • Simultaneous inference in general parametric models
    • Hothorn T, Bretz F, Westfall P (2008) Simultaneous inference in general parametric models. Biom J 50(3):346–363
    • (2008) Biom J , vol.50 , Issue.3 , pp. 346-363
    • Hothorn, T.1    Bretz, F.2    Westfall, P.3
  • 16
    • 84937073944 scopus 로고    scopus 로고
    • For testing the significance of regression coefficients, go ahead and log-transform count data
    • Ives AR (2015) For testing the significance of regression coefficients, go ahead and log-transform count data. Methods Ecol Evol. doi:10.1111/2041-210X.12386
    • (2015) Methods Ecol Evol
    • Ives, A.R.1
  • 17
    • 84886903839 scopus 로고    scopus 로고
    • Statistical evaluation of toxicological assays: Dunnett or Williams test—take both
    • COI: 1:CAS:528:DC%2BC3sXnt1Sjurk%3D
    • Jaki T, Hothorn LA (2013) Statistical evaluation of toxicological assays: Dunnett or Williams test—take both. Arch Toxicol 87(11):1901–1910
    • (2013) Arch Toxicol , vol.87 , Issue.11 , pp. 1901-1910
    • Jaki, T.1    Hothorn, L.A.2
  • 18
    • 84922402421 scopus 로고    scopus 로고
    • Power analysis for generalized linear mixed models in ecology and evolution
    • Johnson PCD, Barry SJE, Ferguson HM, Müller P (2015) Power analysis for generalized linear mixed models in ecology and evolution. Methods Ecol Evol 6(2):133–142
    • (2015) Methods Ecol Evol , vol.6 , Issue.2 , pp. 133-142
    • Johnson, P.C.D.1    Barry, S.J.E.2    Ferguson, H.M.3    Müller, P.4
  • 19
    • 84875391826 scopus 로고    scopus 로고
    • Rank-based multiple test procedures and simultaneous confidence intervals
    • Konietschke F, Hothorn LA, Brunner E (2012) Rank-based multiple test procedures and simultaneous confidence intervals. Electron J Stat 6:738–759
    • (2012) Electron J Stat , vol.6 , pp. 738-759
    • Konietschke, F.1    Hothorn, L.A.2    Brunner, E.3
  • 20
    • 84893947561 scopus 로고    scopus 로고
    • Identification of the minimum effective dose for normally distributed endpoints using a model selection approach
    • Kuiper RM, Gerhard D, Hothorn LA (2014) Identification of the minimum effective dose for normally distributed endpoints using a model selection approach. Stat Biopharmaceutical Res 6(1):55–66
    • (2014) Stat Biopharmaceutical Res , vol.6 , Issue.1 , pp. 55-66
    • Kuiper, R.M.1    Gerhard, D.2    Hothorn, L.A.3
  • 22
    • 0028872949 scopus 로고
    • Some good reasons to ban the use of NOEC, LOEC and related concepts in ecotoxicology
    • Laskowski R (1995) Some good reasons to ban the use of NOEC, LOEC and related concepts in ecotoxicology. Oikos 73(1):140–144
    • (1995) Oikos , vol.73 , Issue.1 , pp. 140-144
    • Laskowski, R.1
  • 24
    • 0027315785 scopus 로고
    • Regression analysis of log-transformed data: Statistical bias and its correction
    • COI: 1:CAS:528:DyaK3sXkvVyns70%3D
    • Newman MC (1993) Regression analysis of log-transformed data: Statistical bias and its correction. Environ Toxicol Chem 12(6):1129–1133
    • (1993) Environ Toxicol Chem , vol.12 , Issue.6 , pp. 1129-1133
    • Newman, M.C.1
  • 26
    • 58549100721 scopus 로고    scopus 로고
    • Current Approaches in the Statistical Analysis of Ecotoxicity Data: A Guidance to Application. No. 54
    • OECD, Paris
    • OECD (2006) Current Approaches in the Statistical Analysis of Ecotoxicity Data: A Guidance to Application. No. 54. In: Series on Testing and Assessment. OECD, Paris
    • (2006) In: Series on Testing and Assessment
  • 27
    • 78650219529 scopus 로고    scopus 로고
    • Do not log-transform count data
    • O’Hara RB, Kotze DJ (2010) Do not log-transform count data. Methods Ecol Evol 1(2):118–122
    • (2010) Methods Ecol Evol , vol.1 , Issue.2 , pp. 118-122
    • O’Hara, R.B.1    Kotze, D.J.2
  • 29
    • 84907095419 scopus 로고    scopus 로고
    • R: A Language and Environment for Statistical Computing
    • Vienna, Austria
    • R Core Team (2014) R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. http://www.R-project.org/
    • (2014) R Foundation for Statistical Computing
    • Core Team, R.1
  • 30
    • 40149085825 scopus 로고
    • A cautionary note on data transformation: bias in back-transformed means
    • Rothery P (1988) A cautionary note on data transformation: bias in back-transformed means. Bird Study 35(3):219–221
    • (1988) Bird Study , vol.35 , Issue.3 , pp. 219-221
    • Rothery, P.1
  • 31
  • 32
    • 84923566162 scopus 로고    scopus 로고
    • Rethinking the analysis of non-normal data in plant and soil science
    • Stroup WW (2014) Rethinking the analysis of non-normal data in plant and soil science. Agron J. doi:10.2134/agronj2013.0342
    • (2014) Agron J.
    • Stroup, W.W.1
  • 35
    • 38449113722 scopus 로고    scopus 로고
    • Quasi-Poisson vs. negative binomial regression: how should we model overdispersed count data?
    • Ver Hoef JM, Boveng PL (2007) Quasi-Poisson vs. negative binomial regression: how should we model overdispersed count data? Ecology 88(11):2766–2772
    • (2007) Ecology , vol.88 , Issue.11 , pp. 2766-2772
    • Ver Hoef, J.M.1    Boveng, P.L.2
  • 36
    • 79955524347 scopus 로고    scopus 로고
    • Making the right conclusions based on wrong results and small sample sizes: interpretation of statistical tests in ecotoxicology
    • COI: 1:CAS:528:DC%2BC3MXlvVeqtb8%3D
    • Wang M, Riffel M (2011) Making the right conclusions based on wrong results and small sample sizes: interpretation of statistical tests in ecotoxicology. Ecotoxicol Environ Saf 74(4): 684–92
    • (2011) Ecotoxicol Environ Saf , vol.74 , Issue.4 , pp. 684-692
    • Wang, M.1    Riffel, M.2
  • 37
    • 18544380263 scopus 로고    scopus 로고
    • Many zeros does not mean zero inflation: comparing the goodness-of-fit of parametric models to multivariate abundance data
    • Warton DI (2005) Many zeros does not mean zero inflation: comparing the goodness-of-fit of parametric models to multivariate abundance data. Environmetrics 16(3):275–289
    • (2005) Environmetrics , vol.16 , Issue.3 , pp. 275-289
    • Warton, D.I.1
  • 38
    • 79955546353 scopus 로고    scopus 로고
    • The arcsine is asinine: the analysis of proportions in ecology
    • Warton DI, Hui FKC (2011) The arcsine is asinine: the analysis of proportions in ecology. Ecology 92(1):3–10
    • (2011) Ecology , vol.92 , Issue.1 , pp. 3-10
    • Warton, D.I.1    Hui, F.K.C.2
  • 39
    • 84867389652 scopus 로고    scopus 로고
    • Distance-based multivariate analyses confound location and dispersion effects
    • Warton DI, Wright ST, Wang Y (2012) Distance-based multivariate analyses confound location and dispersion effects. Methods in Ecology and Evolution 3(1):89–101
    • (2012) Methods in Ecology and Evolution , vol.3 , Issue.1 , pp. 89-101
    • Warton, D.I.1    Wright, S.T.2    Wang, Y.3
  • 41
    • 0001972601 scopus 로고
    • The large-sample distribution of the likelihood ratio for testing composite hypotheses
    • Wilks SS (1938) The large-sample distribution of the likelihood ratio for testing composite hypotheses. Ann Math Stat 9(1):60–62
    • (1938) Ann Math Stat , vol.9 , Issue.1 , pp. 60-62
    • Wilks, S.S.1
  • 42
    • 0015357959 scopus 로고
    • The comparison of several dose levels with a zero dose control
    • Williams DA (1972) The comparison of several dose levels with a zero dose control. Biometrics:519–531
    • (1972) Biometrics , pp. 519-531
    • Williams, D.A.1
  • 43
    • 0000133823 scopus 로고
    • Extra-Binomial variation in logistic linear models
    • Williams DA (1982) Extra-Binomial variation in logistic linear models. J R Stat Soc Ser C (Appl Stat) 31(2):144–148. doi:10.2307/2347977. http://www.jstor.org/stable/2347977
    • (1982) J R Stat Soc Ser C (Appl Stat) , vol.31 , Issue.2 , pp. 144-148
    • Williams, D.A.1


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