Modernización de bioestadística en la ecología: ¿Qué cambios ocurrieron en los últimos 20 años?

• Kazuya Naoki ^[1]
  1. [1] Universidad Mayor de San Andrés

     Universidad Mayor de San Andrés

     Bolivia

     
• Localización: Ecología en Bolivia: revista del Instituto de Ecología, ISSN 1605-2528, Vol. 55, Nº. 2, 2020, págs. 67-72
• Idioma: español
• Títulos paralelos:
  • Modernization of biostatistics in ecology: What changes have occurred in the last 20 years?
• Enlaces
  • Texto completo
• Referencias bibliográficas
  • Anderson, D.R.,Burnham, K.P.,Thompson, W.L.. (2000). Null hypothesis testing: problems, prevalence, and an alternative. Journal of Wildlife...
  • Beckerman, A.P.,Childs, D.Z.,Petchey, O.L.. (2017). Getting started with R: an introduction for biologists. 2. Oxford University Press. Oxford....
  • Buckley, Y.M.. (2015). Ecological Statistics: Contemporary Theory and Application. Oxford University Press. Nueva York.
  • Burnham, K.P.,Anderson, D.R.. (1998). Model selection and inference: a practical information-theoretic approach. Springer-Verlag. Nueva York....
  • Burnham, K.P.,Anderson, D.R.. (2002). Model selection and multimodel inference: a practical informationtheoretic approach. 2. Springer-Verlag....
  • Crawley, M.J. (2007). The R Book. John Wiley & Sons, Ltd.. Chichester.
  • Dennis, B.. (1996). Discussion: should ecologists become Bayesians?. Ecological Applications. 6. 1095-1103
  • Denny, M.,Benedetti-Cecchi, L.. (2012). Scaling up in ecology: mechanistic approaches. Annual Review of Ecology, Evolution, and Systematics....
  • Ellison, A.M.. (1996). An introduction to Bayesian inference for ecological research and environmental decisionmaking. Ecological Applications....
  • Ellison, A.M.,Dennis, B.. (2010). Paths to statistical fluency for ecologists. Frontiers in Ecology and the Environment. 8. 362-370
  • Faraway, J.J. (2016). Extending the linear model with R: generalized linear, mixed effects and nonparametric regression models. 2. CRC Press....
  • Fisher, R.A.. (1925). Statistical methods for research workers. Oliver & Boyd. Edinburgh.
  • Fox, G.A.,Negrete-Yankelevich, S.,Sosa, V.J.. (2015). Ecological Statistics: Contemporary Theory and Application. Oxford University Press....
  • Hector, A.. (2015). The new statistics with R: an introduction for biologists. Oxford University Press. Nueva York.
  • Hobbs, N.T.,Hilborn, R.. (2006). Alternatives to statistical hypothesis testing in ecology: a guide to self teaching. Ecological Applications....
  • Hobbs, N.T.,Ogle, K.. (2011). Introducing data-model assimilation to students of ecology. Ecological Applications. 21. 1537-1545
  • Hurlbert, S.H.,Lombardi, C.M.. (2009). Final collapse of the Neyman-Pearson decision theoretic framework and rise of the neoFisherian. Annales...
  • Johnson, J.B.,Omland, K.S.. (2004). Model selection in ecology and evolution. Trends in Ecology & Evolution. 19. 101-108
  • Kruschke, J.. (2014). Doing Bayesian data analysis: A tutorial with R, JAGS, and Stan. Academic Press. Londres.
  • Lai, J.,Lortie, C.J.,Muenchen, R.A.,Yang, J.,Ma, K.. (2019). Evaluating the popularity of R in ecology. Ecosphere. 10. 02567
  • Lunn, D.J.,Thomas, A.,Best, N.,Spiegelhalter, D.. (2000). WinBUGS-a Bayesian modelling framework: concepts, structure, and extensibility....
  • McCarthy, M.A.. (2007). Bayesian methods for ecology. Cambridge University Press. Cambridge.
  • McCoy, M.W.,Bolker, B.M.. (2008). Trait-mediated interactions: influence of prey size, density and experience. Journal of Animal Ecology....
  • McCullagh, P.,Nelder, J.A.. (1989). Generalized linear models. 2. Chapman & Hall/CRC. Boca Raton.
  • McElreath, R.. (2020). Statistical rethinking: A Bayesian course with examples in R and Stan. 2. CRC press. Boca Raton.
  • Muenchen, R.A.. (2012). The popularity of data analysis software.
  • Neyman, J.,Pearson, E.S.. (1933). On the problem of the most efficient tests of statistical hypotheses. 289-337
  • O’Hara, R.B.,Kotze, D.J.. (2010). Do not log-transform count data. Methods in Ecology and Evolution. 1. 118-122
  • Oksanen, J.,Blanchet, F.G.,Friendly, M.,Kindt, R.,Legendre, P.,McGlinn, D.,Minchin, P.R.,O'Hara, R.B.,Simpson, G.L.,Solymos, P.,Stevens,...
  • Oksanen, L.. (2001). Logic of experiments in ecology: is pseudoreplication a pseudoissue?. Oikos. 94. 27-38
  • Paradis, E.,Schliep, K.. (2019). ape 5.0: an environment for modern phylogenetics and evolutionary analyses in R. Bioinformatics. 35. 526-528
  • (2020). R Core Team R: A language and environment for statistical computing. R Foundation for Statistical Computing. Viena.
  • Rosenthal, R.,Rubin, D.B.. (1994). The counternull value of an effect size: a new statistic. Psychological Science. 5. 329-334
  • Sokal, R.R.,Rohlf, F.J.. (2011). Biometry. 4. W. H. Freeman and Company. Nueva York.
  • Sosa, V.J.,Negrete-Yankelevich, S.,Fox, G.A.. (2015). Ecological Statistics: Contemporary Theory and Application. Oxford University Press....
  • Stephens, P.A.,Buskirk, S.W.,Hayward, G.D.,Martinez del Rio, C.. (2005). Information theory and hypothesis testing: a call for pluralism....
  • Stephens, P.A.,Buskirk, S.W.,Martinez del Rio, C.. (2007). Inference in ecology and evolution. Trends in Ecology & Evolution. 22. 192-197
  • Symonds, M.R.,Moussalli, A.. (2011). A brief guide to model selection, multimodel inference and model averaging in behavioural ecology using...
  • Touchon, J.C.,McCoy, M.W.. (2016). The mismatch between current statistical practice and doctoral training in ecology. Ecosphere. 7. 01394
  • Vehtari, A.,Gelman, A.,Gabry, J.. (2017). Practical Bayesian model evaluation using leave-one-out crossvalidation and WAIC. Statistics and...
  • Warton, D.I.,Hui, F.K.. (2011). The arcsine is asinine: the analysis of proportions in ecology. Ecology. 92. 3-10
  • Wasserstein, R.L.,Schirm, A.L.,Lazar, N.A... (2019). Moving to a world beyond “p< 0.05”. American Statistician. 73. 1-19
  • Zar, J.H. (2010). Biostatistical analysis. 5. Pearson Education. Upper Saddle River.