Nomograms
Nomograms are graphical representations of equations that predict medical outcomes. Nomograms use a points-based system whereby a patient accumulates points based on levels of his or her risk factors. The cumulative points total is associated with a prediction, such as the predicted probability of treatment failure in the future. Nomograms can improve research design, and well-designed research is crucial for the creation of accurate nomograms. Nomograms are important to research design because they can help identify the characteristics of high-risk patients while highlighting which interventions are likely to have the greatest treatment effects. Nomograms have demonstrated better accuracy than both risk grouping systems and physician judgment. This improved accuracy should allow researchers to design intervention studies that have greater statistical power by targeting the enrollment ...
Looks like you do not have access to this content.
Reader's Guide
Descriptive Statistics
Distributions
Graphical Displays of Data
Hypothesis Testing
Important Publications
Inferential Statistics
Item Response Theory
Mathematical Concepts
Measurement Concepts
Organizations
Publishing
Qualitative Research
Reliability of Scores
Research Design Concepts
Research Designs
Research Ethics
Research Process
Research Validity Issues
Sampling
Scaling
Software Applications
Statistical Assumptions
Statistical Concepts
Statistical Procedures
Statistical Tests
Theories, Laws, and Principles
Types of Variables
Validity of Scores
- All
- A
- B
- C
- D
- E
- F
- G
- H
- I
- J
- K
- L
- M
- N
- O
- P
- Q
- R
- S
- T
- U
- V
- W
- X
- Y
- Z