Download Contingency Table Analysis: Methods and Implementation Using by Maria Kateri PDF

By Maria Kateri

Contingency tables come up in different fields, together with lifestyles sciences, schooling, social and political sciences, significantly marketplace learn and opinion surveys. Their research performs a necessary function in gaining perception into buildings of the amounts into consideration and in aiding selection making.

Combining either conception and functions, this ebook offers types and techniques for the research of 2- and multidimensional-contingency tables. the writer makes use of a threefold procedure, providing primary versions and similar inference, highlighting their interpretational features, and demonstrating their useful usefulness. Emphasis is on functions and techniques of becoming versions utilizing usual statistical instruments - reminiscent of SPSS, R, and insects - and on interpretation of the consequences.

An first-class reference for complicated undergraduates, graduate scholars, and practitioners in data in addition to biosciences, social sciences, schooling, and economics, the paintings can also be used as a textbook for a path on specific information research. must haves comprise easy history on statistical inference and data of statistical software program packages.

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Extra resources for Contingency Table Analysis: Methods and Implementation Using R

Sample text

Louis Epidemiologic Catchment Area Survey (Glassman et al. 1990) and cross-classified according to regular smoking habit (rows) and major depressive disorder (columns). Interest lies on testing for possible relation between cigarette smoking and major depressive disorder. 1(b) reports the binary response (success–failure) of two treatments (high–low dose) received by two independent samples of patients (hypothetical data). The goal is to compare the success probabilities for the high and low dose treatment, based on two independent samples of patients.

NI−1+ ) ∼ M (n, π r ) and the ML estimates of the row marginal probabilities are πˆi+ = pi+ , i = 1, . . , I, with the analogous result holding also for the column marginals (πˆ+ j = p+ j , j = 1, . . , J). The ML estimates of the expected cell frequencies under H0 are thus mˆ i j = npi+ p+ j = ni+ n+ j , i = 1, . . , I, j = 1, . . , J . 35) Hypothesis H0 will be tested asymptotically by Pearson’s X 2 . Since the row (column) marginal probabilities sum to one, only I − 1 (J − 1) of them are unknown, and the number of parameters to be estimated under H0 is (I − 1) + (J − 1).

1 Analyzing 2 × 2 Tables 2 × 2 contingency tables are very common in biomedical and social sciences applications, where binary variables (yes–no) play an important role, in the context of survival, success of a treatment, or presence of a characteristic or prognostic factor. The extent of related literature is impressive and this very simple table keeps the continuous interest of researchers since the early 1900s. Indicatively we mention that Upton (1982) compared twenty-two alternative tests of the literature for the 2 × 2 comparative trial commenting that the range of different possible sampling schemes for 2 × 2 tables is responsible for this amount of literature.