FIGURE 13-2: A fourfold table summarizing obesity and hypertension in a sample ...
FIGURE 13-3: This is how data are summarized when evaluating a proposed new dia...
FIGURE 13-4: Results from a study of a new experimental home pregnancy test.
FIGURE 13-5: Comparing a treatment to a placebo.
FIGURE 13-6: Results of two raters reading the same set of 50 specimens and rat...
Chapter 15
FIGURE 15-1: 100 data points, with varying degrees of correlation.
FIGURE 15-2: Pearson r is based on a straight-line relationship.
Chapter 16
FIGURE 16-1: Straight-line regression is appropriate for both strong and weak l...
FIGURE 16-2: On average, a good-fitting line has smaller residuals than a bad-f...
FIGURE 16-3: Scatter plot of SBP versus body weight.
FIGURE 16-4: Sample straight-line regression output from R.
FIGURE 16-5: Scattergram of SBP versus weight, with the fitted straight line an...
FIGURE 16-6: The residuals versus fitted (a) and normal (b) Q-Q graphs help you...
Chapter 17
FIGURE 17-1: A scatter chart matrix for a set of variables prior to multiple re...
FIGURE 17-2: Output from multiple regression using the data from Table 17-2.
FIGURE 17-3: Diagnostic graphs from a regression.
FIGURE 17-4: Observed versus predicted outcomes for the model SBP ~ Age + Weigh...
Chapter 18
FIGURE 18-1: Dose versus mortality from Table 18-1: each individual’s data (a) ...
FIGURE 18-2: The first graph (a) shows the shape of the logistic function. The ...
FIGURE 18-3: The first graph (a) shows that when b is negative, the logistic fu...
FIGURE 18-4: Typical output from a logistic regression model. The output on the...
FIGURE 18-5: The logistic curve that fits the data from Table 18-1.
FIGURE 18-6: The classification table for the radiation example.
FIGURE 18-7: ROC curve from dose mortality data.
FIGURE 18-8: Visualizing the complete separation (or perfect predictor) problem...
Chapter 19
FIGURE 19-1: Yearly data on fatal highway accidents in one city.
FIGURE 19-2: Poisson regression output.
FIGURE 19-3: Poisson regression, assuming a constant increase in accident rate ...
FIGURE 19-4: Output from an exponential trend Poisson regression.
FIGURE 19-5: Linear and exponential trends fitted to accident data.
FIGURE 19-6: The blood concentration of an intravenous drug decreases over time...
FIGURE 19-7: Results of nonlinear regression in R.
FIGURE 19-8: Nonlinear model fitted to drug concentration data.
FIGURE 19-9: Nonlinear regression that estimates the PK parameters you want.
FIGURE 19-10: The relationship between age and hormone concentration doesn’t co...
FIGURE 19-11: The fitted LOWESS curve follows the shape of the data, whatever i...