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• W4246166641 abstract "Free Access Front Matter Book Editor(s):Wolfgang Wiedermann, Wolfgang WiedermannSearch for more papers by this authorAlexander von Eye, Alexander von EyeSearch for more papers by this author First published: 07 June 2016 https://doi.org/10.1002/9781118947074.fmatterBook Series:Wiley Series in Probability and Statistics AboutSectionsPDFPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShareShare a linkShare onFacebookTwitterLinked InRedditWechat The prelims comprise: Half-Title Page Wiley Series in Probability and Statistics Title Page Copyright Page Table of Contents List of Contributors Preface Acknowledgments References Barringer, S.N., Eliason, S.R., and Leahey, E. (2013) A history of causal analysis in the social sciences, in Handbook of Causal Analysis for Social Research (ed. S.L. Morgan), Springer-Verlag, Dordrecht, pp. 9– 26. Beebee, H., Hitchcock, C., and Menzies, P. (2009) The Oxford Handbook of Causation, Oxford University Press, Oxford. Bollen, K.A. (1989) Structural Equations with Latent Variables, John Wiley & Sons, Inc., New York. Cochran, W.G. and Chambers, S.P. (1965) The planning of observational studies of human populations. Journal of the Royal Statistical Society. Series A (General), 128, 234– 266. Dodge, Y. and Rousson, V. (2000) Direction dependence in a regression line. Communications in Statistics: Theory and Methods, 29 (9-10), 1957– 1972. Dodge, Y. and Rousson, V. (2001) On asymmetric properties of the correlation coefficient in the regression setting. American Statistician, 55 (1), 51– 54. von Eye, A. and DeShon, R.P. (2012) Directional dependence in developmental research. International Journal of Behavioral Development, 36 (4), 303– 312. Fisher, R.A. (1926) The arrangement of field experiments. Journal of the Ministry of Agriculture of Great Britain, 33, 503– 513. Fisher, R.A. (1935) The Design of Experiments, Oliver & Boyd, Edinburgh. Gail, M.H., Wieand, S., and Piantadosi, S. (1984) Biased estimates of treatment effect in randomized experiments with nonlinear regressions and omitted covariates. Biometrika, 71 (3), 431– 444. Granger, C.W. (1969) Investigating causal relations by econometric models and cross-spectral methods. Econometrica, 37, 424– 438. Holland, P.W. (1986) Statistics and causal inference. Journal of the American Statistical Association, 81 (396), 945– 960. Hume, D. (1777/1975) Enquiries Concerning Human Understanding and Concerning the Principles of Morals, Clarendon Press, Oxford. Kim, D. and Kim, J.M. (2014) Analysis of directional dependence using asymmetric Copula-based regression models. Journal of Statistical Computation and Simulation, 84 (9), 1990– 2010. Lewis, D. (1973) Causation. Journal of Philosophy, 70 (17), 556– 567. Nelder, J.A. and Wedderburn, R.W.M. (1972) Generalized linear models. Journal of the Royal Statistical Society. Series A (General), 135 (3), 370– 384. Neyman, J. (1923/1990) Sur les applications de la theorie des probabilites aux experiences agricoles [On the application of probability theory to agricultural experiments; D. Dabrowska and T. P. Speed, translators]. Excerpts reprinted in Statistical Science, 5, 463– 472. Pearl, J. (2009) Causality: Models, Reasoning, and Inference, 2nd edn, Cambridge University Press, Cambridge. Rubin, D.B. (1974) Estimating causal effects of treatments in randomized and nonrandomized studies. Journal of Educational Psychology, 66 (5), 688– 701. Rubin, D.B. (2005) Causal inference using potential outcomes. Journal of the American Statistical Association, 100 (469), 322– 331. Shimizu, S., Hoyer, P.O., Hyvärinen, A., and Kerminen, A. (2006) A linear non-Gaussian acyclic model for causal discovery. Journal of Machine Learning Research, 7, 2003– 2030. Sobel, M.E. (1994) Causal inference in latent variable models, in Latent Variable Analysis: Applications for Developmental Research (eds A. von Eye and C.C. Clogg), Sage Publications, Thousand Oaks, CA, pp. 3– 35. Sungur, E.A. (2005) A note on directional dependence in regression setting. Communications in Statistics: Theory and Methods, 34 (9-10), 1957– 1965. Yule, G.U. (1921) On the time-correlation problem, with especial reference to the variate-difference correlation method. Journal of the Royal Statistical Society, 84 (4), 497– 537. Yule, G.U. (1926) Why do we sometimes get nonsense-correlations between time-series? A study in sampling and the nature of time-series. Journal of the Royal Statistical Society, 89 (1), 1– 63. Statistics and Causality: Methods for Applied Empirical Research ReferencesRelatedInformation" @default.
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