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"The analysis of variance and the analysis of causes"

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If you have a question about this talk, please contact Alison Quenault.

The methods, and ways of thinking about the health of populations, that will be required for epidemiology in the 21st century are in some instances quite different from the standard epidemiological techniques that are taught in most textbooks and courses today. As we develop epidemiological methods for addressing the scientific and public health problems of the 21st century, it is important that we consider, once again, the distinction between the analysis of variance and the analysis of causes. In this presentation, I first consider the statistical and scientific issues involved in the distinction between the analysis of variance and the analysis of causes. I then discuss some of the implications for regression modeling. Finally, I discuss some examples of the implications of this distinction for the theory and practice of epidemiology in a changing world, particularly with regards to risk factors that become ubiquitous over time.

This talk is part of the MRC Biostatistics Unit Seminars series.

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