Shipley1999

Référence

Shipley, B. (1999) Testing causal explanations in organismal biology: Causation, correlation and structural equation modelling. Oikos, 86(2):374-382.

Résumé

This paper describes some recent statistical developments that specify under what conditions multivariate causal explanations can be tested with observational data. The specific questions that motivate the paper involve testing hypotheses concerning the causal relationships between different traits of an organism. I argue that in such cases neither randomized experiments nor controlled experimental manipulations can test such hypotheses but that structural equation modelling (path analysis) can be used for such purposes. I conclude by describing some of the limitations of path analysis.

Format EndNote

Vous pouvez importer cette référence dans EndNote.

Format BibTeX-CSV

Vous pouvez importer cette référence en format BibTeX-CSV.

Format BibTeX

Vous pouvez copier l'entrée BibTeX de cette référence ci-bas, ou l'importer directement dans un logiciel tel que JabRef .

@ARTICLE { Shipley1999,
    AUTHOR = { Shipley, B. },
    TITLE = { Testing causal explanations in organismal biology: Causation, correlation and structural equation modelling },
    JOURNAL = { Oikos },
    YEAR = { 1999 },
    VOLUME = { 86 },
    PAGES = { 374-382 },
    NUMBER = { 2 },
    NOTE = { 00301299 (ISSN) Cited By (since 1996): 23 Export Date: 26 April 2007 Source: Scopus CODEN: OIKSA Language of Original Document: English Correspondence Address: Shipley, B.; Departement de Biologie; Universite de Sherbrooke Sherbrooke, Que. J1K 2R1, Canada; email: bshipley@courrier.usherb.ca References: Aldrich, J., Correlations genuine and spurious in Pearson and Yule (1995) Statist. Sci., 10, pp. 364-376; Anderson, S.A., Madigan, D., Perlman, M.D., A characterization of Markov equivalence classes for acyclic digraphs (1997) Ann. Statist., 25, pp. 505-541; Blalock, H.M., Correlation and causality: The multivariate case (1961) Social Forces, 39, pp. 246-251; Bollen, K.A., (1989) Structural Equations with Latent Variables, , Wiley, New York; Chickering, D.M., A transformational characterization of Bayesian network structures (1995) Uncertainty in Artificial Intelligence, 11, pp. 87-98. , Besnard, P and Hanks, S. (eds). Morgan Kaufmann. San Francisco; Duncan, O.D., Path analysis: Sociological examples (1966) Am. J. Sociol., 72, pp. 1-16; Fisher, R.A., (1925) Statistical Methods for Research Workers, , Olivier and Boyd, London; Fisher, R.A., (1935) The Design of Experiments, , Olivier and Boyd, London; Haavelmo, T., The statistical implications of a system of simultaneous equations (1943) Econometrica, 11, pp. 1-12; Jo?reskog, K.F., A general method for analysis of covariance structures (1970) Biometrika, 57, pp. 239-251; Li, C.C., (1975) Path Analysis: A Primer, , Boxwood, CA; Meek, C., Causal inference and causal explanation with background knowledge (1995) Uncertainly in Artificial Intelligence, 11, pp. 403-410. , Besnard, P. and Hanks, S. (eds). Morgan Kaufmann, San Francisco; Niles, H.E., Correlation, causation and Wright's theory of "path coefficients" (1922) Genetics, 7, pp. 258-273; Pearl, J., (1988) Probablistic Reasoning in Intelligent Systems: Networks of Plausible Inference, , Kaufmann, San Mateo, CA; Pearl, J., Graphs, causality and structural equation models (1998) Sociol. Meth. Res., 27, pp. 226-284; Pearson, K., (1911) The Grammar of Science, 3rd Ed., , Black, Edinburgh; Peters, R.H., (1991) A Critique for Ecology, , Cambridge Univ. Press, Cambridge; Shipley, B., Structured interspecific determinants of specific leaf area in 34 species of herbaceous angiosperms (1995) Funct. Ecol., 9, pp. 312-319; Shipley, B., Exploratory path analysis with applications in ecology and evolution (1997) Am. Nat., 149, pp. 1113-1138; Shipley, B., Exploring hypothesis space: Examples from organismal biology (1999) Causation, Explanation and Search, , Glymour, C. (ed.). AAI/MIT Press, Cambridge MA, (in press); Shipley, B., Peters, R.H., The seduction by mechanism: A reply to Tilman (1991) Am. Nat., 138, pp. 1276-1282; Sokal, R.R., Rohlf, F.J., (1995) Biometry, 3rd Ed., , New York; Spirtes, P., Directed cyclic graphical representation of feedback models (1995) Uncertainty in Artificial Intelligence, 2, pp. 491-498. , Besnard, P. and Hanks, S. (eds). Morgan Kaufmann.,San Francisco; Spirtes, P., Glymour, C., Scheines, R., (1993) Causation, Prediction, and Search, , Springer-Verlag, New York; Wright, S., On the relative importance of heredity and environment in determining the piebald pattern of guinea pigs (1920) Proc. Nstl. Acad. Sci., 6, pp. 320-332; Wright, S., Correlation and causation (1921) J. Agri. Res., 20, pp. 557-585. },
    ABSTRACT = { This paper describes some recent statistical developments that specify under what conditions multivariate causal explanations can be tested with observational data. The specific questions that motivate the paper involve testing hypotheses concerning the causal relationships between different traits of an organism. I argue that in such cases neither randomized experiments nor controlled experimental manipulations can test such hypotheses but that structural equation modelling (path analysis) can be used for such purposes. I conclude by describing some of the limitations of path analysis. },
    KEYWORDS = { multivariate analysis statistical analysis },
    OWNER = { brugerolles },
    TIMESTAMP = { 2007.12.05 },
}

********************************************************** ***************** Facebook Twitter *********************** **********************************************************

Abonnez-vous à
l'Infolettre du CEF!

********************************************************** ***************** Pub - Symphonies_Boreales ****************** **********************************************************

********************************************************** ***************** Boîte à trucs *************** **********************************************************

CEF-Référence
La référence vedette !

Jérémie Alluard (2016) Les statistiques au moments de la rédaction 

  • Ce document a pour but de guider les étudiants à intégrer de manière appropriée une analyse statistique dans leur rapport de recherche.

Voir les autres...