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Annual Review of Psychology, 1998
▪ Abstract This chapter reviews recent developments in the analysis of categorical and contingency-table data. The first portion examines developments in model testing and selection. The second portion examines work on models for the structure of dependence.
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▪ Abstract This chapter reviews recent developments in the analysis of categorical and contingency-table data. The first portion examines developments in model testing and selection. The second portion examines work on models for the structure of dependence.
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1998
Abstract Suppose that we have a new intravenous anaesthetic agent Zapidate. This causes pain on injection in some patients and an investigation is conducted to examine the effect of the addition of local anaesthetic, ‘Wondercaine’, on the incidence of this.
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Abstract Suppose that we have a new intravenous anaesthetic agent Zapidate. This causes pain on injection in some patients and an investigation is conducted to examine the effect of the addition of local anaesthetic, ‘Wondercaine’, on the incidence of this.
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2003
Abstract Observations that involve only nominal or ordinal variables (Section 1.1.2) are called categorical data. In this chapter, I shall concentrate on the special methods of model construction for such data, and specifically on the case when the response variable is categorical.
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Abstract Observations that involve only nominal or ordinal variables (Section 1.1.2) are called categorical data. In this chapter, I shall concentrate on the special methods of model construction for such data, and specifically on the case when the response variable is categorical.
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2009
Abstract This chapter covers some basic methods for analyzing categorical data. Categorical data simply means that observations belong to two or more groups. The simplest case is the binomial distribution, which was introduced in chapter 4.
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Abstract This chapter covers some basic methods for analyzing categorical data. Categorical data simply means that observations belong to two or more groups. The simplest case is the binomial distribution, which was introduced in chapter 4.
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