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Titlebook: Lectures on Categorical Data Analysis; Tamás‘ Rudas Textbook 2018 Springer Science+Business Media, LLC, part of Springer Nature 2018 Assoc

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樓主: Strategy
31#
發(fā)表于 2025-3-26 21:21:32 | 只看該作者
32#
發(fā)表于 2025-3-27 03:16:17 | 只看該作者
,Simpson’s Paradox,hat while a new drug may be better than the old drug for both male and female patients, when the data are combined, for all individuals, the old drug appears better. In these cases, the odds ratio is used to determine which treatment is better. First, the paradox is illustrated, and a brief overview
33#
發(fā)表于 2025-3-27 09:02:58 | 只看該作者
34#
發(fā)表于 2025-3-27 11:37:19 | 只看該作者
Log-Linear Models: Interpretation, into multiplicative parameters, and these are useful in dealing with the regression problem for categorical variables, where this approach provides a clear and testable concept of separate effects versus joint effect of the explanatory variables. Further topics related to the use of log-linear mode
35#
發(fā)表于 2025-3-27 17:35:25 | 只看該作者
Log-Linear Models: Estimation,mixed parameterization used in the definition of log-linear models playing a central role: the canonical parameters on the ascending class are specified by the model, while the marginal distributions on the descending class are taken from the observed data in the maximum likelihood estimates. Then,
36#
發(fā)表于 2025-3-27 19:11:09 | 只看該作者
37#
發(fā)表于 2025-3-27 22:59:45 | 只看該作者
38#
發(fā)表于 2025-3-28 05:14:18 | 只看該作者
Effects and Associations,ition taken is that the different published ideas as to how to measure association are, in fact, measures of different concepts of associations. Measuring effects is a related but distinct task. The traditional theory of testing the existence and measuring the size of an effect is based on a particu
39#
發(fā)表于 2025-3-28 09:16:52 | 只看該作者
40#
發(fā)表于 2025-3-28 10:45:40 | 只看該作者
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