Skip to Content
Table of Contents
Author Biography
Introduction
Part I: Probability Theory
Case Study 1 - Patient History
Bayes' Theorem
Methods for Estimating Pre-test Probability
Estimating Likelihood Ratios
Estimating Sensitivity and Specificity of Tests
Interpreting Test Results
Calculating Post-test Probabilities
Post-test Probabilities in Clinical Practice
Conclusions: Case Study 1
Part II: Expected Value Decision Making
Case Study 2 - Patient History
Using a Decision Tree
Assigning Utility
Expected Value & QALYs
Sensitivity Analysis
Conclusions: Case Study 2
Part III: Factoring Age and Co-morbidity into Decisions
Principles of Screening in the Elderly
Case Study 3 - Patient Histories
Simplified Method for Estimating Life Expectancy
Practical Approach to Screening Decisions
Calculating the Impact of Co-morbid Illness
Adjusting Life Expectancy for Co-morbid Illness
References
Figures
Tables
Problems
Questions
Figure 1.5.1
Figure 2.3.1
Figure 2.4.1
Figure 2.4.2
Figure 2.5.1
Figure 2.5.1a
Figure 2.5.1b
Figure 2.5.2
Figure 2.5.2a
Figure 2.5.2b
Figure 2.5.2c
Figure 2.5.2d
Figure 3.4.1
Figure 3.6.1
Figure 3.7.1
Figure 3.7.2
Table 1.5.1
Table 1.5.2
Table 1.7.1
Table 1.8.1
Table 1.9.1
Table 1.10.1
Table 2.4.1
Table 3.2.1
Table 3.4.1
Table 3.4.2
Problem 1.10.1
Problem 1.10.2
Problem 2.4.1
Problem 2.4.2
Problem 2.5.1
Question 1.3.1
Question 1.4.1
Question 1.4.2
Question 1.5.1
Question 1.5.2
Question 1.5.3
Question 1.5.4
Question 1.9.1
Question 1.10.1.1
Question 1.10.1.2
Question 1.10.2.1
Question 1.10.2.2
Question 1.10.2.3
Question 2.2.1
Question 2.3.1
Question 2.3.2
Question 2.3.3
Question 2.3.4
Question 2.4.1
Question 2.5.1
Question 2.5.2