Chapter 10. Linear Regression
10.1 Introduction 191
10.2 Synopsis 191
10.3 Examples 194
10.4 Details & Notes 209
10.1 Introduction
Regression analysis is used to analyze the relationship between a response, y, and a quantitative factor, x. Knowledge of this relationship can be important for predicting unmeasured responses from a known x-value.
Examples where regression analysis might be useful in clinical data analysis include the modeling of blood pressure response (y) on the dose of a new antihypertensive drug (x), cholesterol level (y) on patient's age (x), pain relief (y) on time after dosing with an anti-inflammatory treatment (x), or degree of wound healing (y) on the baseline surface area of a burn wound (x).
While a number of potential relationships ...
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