Nanny Wermuth, Professor emerita of Statistics, Ph.D Mathematical Sciences Chalmers University of Technology 41296 Gothenburg Sweden

Publications 1996-2005 Cox, D.R. & Wermuth, N. (1996). Multivariate Dependencies – Models, Analysis and Interpretation. London: Chapman & Hall. Wermuth, N. (1998). Graphical Markov models. Encyclopedia of Statistical Sciences. S. Kotz, C. Read and D. Banks (eds). New York: Wiley, Second Update Volume, 284-300. Wermuth, N. (1998). Pairwise independence. Encyclopedia of Biostatistics. P. Armitage and T. Colton (eds). New York: Wiley, 3244-3246. Wermuth, N. & Cox, D.R. (1998). On association models defined over independence graphs. Bernoulli, 4, 477-495. Wermuth, N. & Cox, D.R. (1998). On the application of conditional independence to ordinal data. International Statistical Review, 66, 181-199. Wermuth, N. & Cox, D.R. (1998). Statistical dependence and independence. Encyclopedia of Biostatistics. P. Armitage and T. Colton (eds). New York: Wiley, 4260-4264. Cox, D.R. & Wermuth, N. (1999). Derived variables for longitudinal studies. Proceedings of the National Academy of Sciences, 96, 12273-12274. Cox, D.R. & Wermuth, N. (1999). Likelihood factorizations for mixed discrete and continuous variables. Scandinavian Journal of Statistics, 26, 209-220. Wermuth, N. & Schuh, H.-J. (1999). Proof without words: sum of squared integers. Student, 3, 41-43. Cox, D.R. & Wermuth, N. (2000). On the generation of the chordless 4-cycle. Biometrika, 87, 206-212.   Cox, D.R. & Wermuth, N. (2001). Causal inference and statistical fallacies. International Encyclopedia of the Social and Behavioral Sciences. P.B. Baltes and N.J. Smelser (eds). Elsevier, Amsterdam, 3, 1554-1661. Cox, D.R. & Wermuth, N. (2001). Some statistical aspects of causality. European Sociological Review, 17, 65-74. Wermuth, N. & Cox, D.R. (2001). Graphical models: overview. International Encyclopedia of the Social and Behavioral Sciences. P.B. Baltes and N.J. Smelser (eds). Elsevier, Amsterdam, 9, 6379-6386. Cox, D.R. & Wermuth, N. (2002). On some models for multivariate binary variables parallel in complexity with the multivariate Gaussian distribution. Biometrika, 89, 462-469. Cox, D.R. & Wermuth, N. (2003). A general condition for avoiding effect reversal after marginalization. Journal of the Royal Statistical Society B, 65, 937-941.   Wermuth, N. (2003). Analysing social science data with graphical Markov models. In: Highly Structured Stochastic Systems. P. Green, N. Hjort & S. Richardson (eds). Oxford University Press, 33-39. Cox, D.R. & Wermuth, N. (2004). Causality: a statistical view. International Statistical Review, 72, 285-305. Wermuth, N. & Cox, D.R. (2004). Joint response graphs and separation induced by triangular systems. Journal of the Royal Statistical Society B, 66, 687-717.   Stanghellini, E. & Wermuth, N. (2005). On the identification of path analysis models with one hidden variable. Biometrika, 92, 337-350. Wermuth, N. (2005). Graphical chain models. In: Encyclopedia of Behavioral Statistics, II. B. Everitt and David C. Howell (eds). Wiley, Chichester, 755-759.   Wermuth, N. (2005). On implications of recent results on graphical Markov models for the design and analysis of observational studies. Invited lecture. Proceedings of the 55th Session of the International Statistical Institute, Sidney.   Wermuth, N. (2005). Statistics for Studies of Human Welfare. International Statistical Review, 75, 259-262.