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Association & Odds Ratios

  • This presentation is a part of a series of lessons on the Analysis of Categorical Data. This lecture covers the following: generalized IxJ contingency tables, degrees of freedom, Fisher's exact test, and generalized odds ratio.

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  • This presentation is a part of a series of lessons on the Analysis of Categorical Data. This lecture covers the following: absolute/relative measures, number needed to treat (NNT), relative risk, odds ratio, the delta method (with a multivariate extension), and a variance covariance matrix. 

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  • This presentation is a part of a series of lessons on the Analysis of Categorical Data. This lecture covers the following:  Wald test, score test, likelihood-ratio test, large sample confidence intervals, and the F distribution.

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  • Epidemiology is the study of the distribution and determinants of human disease and health outcomes, and the application of methods to improve human health. This course examines the methods used in epidemiologic research, including the design of epidemiologic studies and the collection and analysis of epidemiological data.  Perfect for students and teachers wanting to learn/acquire materials for this topic.

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  • This page calculates probabilities for a Poisson distribution.

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  • The dataset presented in this article comes from a South African study of growth of children. This data is a useful example of Simpson's paradox. Key Words: Categorical data; Comparing proportions.
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  • This article presents a dataset from an experiment designed to test if increased reproduction reduces longevity for male fruitflies. The data are in .dat format. Key Words: Analysis of variance; Contrasts; Experimental design; Regression; Precision; Statistical interaction; Survival analysis.
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  • In this activity, students will perform a chi-squared test on the number of people with health insurance by age to determine whether there is a relationship between age and insurance coverage. Questions about the exercise and a link to the DIG Stats Online Chi-Squared Calculator are given. The data exist in Excel and text formats.
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  • This applet shows how the correlation between two variables is affected by the range of the variable plotted on the X-axis.
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  • This applet simulates experiments using 2 x 2 contingency tables. You specify the population proportions and the sample size and examine the effects on the probability of rejecting the null hypothesis.
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