Titlebook: Regression with Linear Predictors; Per Kragh Andersen,Lene Theil Skovgaard Textbook 2010 Springer Science+Business Media LLC 2010 Cox.Logi

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Alternative outcome types and link functions,rvival data. In this chapter we first study two “new” datatypes. The first is multinomial data (Section 7.1) where the outcome is a categorical variable with more than two levels. This includes both the case where the categories are ordered (ordinal data, Section 7.1.1) and where they are unordered

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Further topics, mainly meant as a precaution because some of the assumptions made throughout earlier chapters are now relaxed. Section 8.1 discusses the situation where responses are multivariate, often as a consequence of having several response variables observed in the same subjects. In such cases, the assumpti

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Alternative outcome types and link functions,le with more than two levels. This includes both the case where the categories are ordered (ordinal data, Section 7.1.1) and where they are unordered (nominal data, Section 7.1.2). The second type is counts (Section 7.2) and we study models based on both the Poisson and the Binomial distribution.

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Textbook 2010o - planatory variables (or covariates). This is an extremely common situation in the application of statistical methods in many ?elds, andlinear regression,- gistic regression, and Cox proportional hazards regression are frequently used for quantitative, binary, and survival time outcome variables,

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Per Kragh Andersen,Lene Theil Skovgaardehmung und des indi-viduellen Umgangs des Einzelnen mit dem Nationalsozialismus aufgezeigt. Insbesondere die Rekonstruktion der durch die Analyse der biographischen Ressourcen deutlich gewor-denen zentralen fallspezifischen Charakteristika, wie die Ausprägung der Selbst- und Welt-verständnisse, die

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