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Introduction to the problem of modeling the temperature of a glass of water in a freezer
Discussion of the different types of models (linear vs. exponential)
Analysis of the data to determine which model is a better fit
Calculation of the exponential model that best fits the data
Comparison of the calculated model to the given choices
Alternative method for determining the best model
Introduction
Simple/Univariate binary logistic regression (pharyngealC.RData)
Calculating the crude odds ratio
Binary predictor in simple/univariate binary logistic regression using R (pharyngealC.RData)
Continuous predictor in simple/univariate binary logistic regression using R (pharyngealC.RData)
Multiple/Multivariate binary logistic regression (pharyngealC.RData)
Example 2 (PapillaryTumor.RData) in multiple/multivariate binary logistic regression
Example 3 (RenalCast.RData) in multiple/multivariate binary logistic regression
Understanding a published journal article with binary logistic regression