matlab 测试性能,临床测试性能

本文详细介绍了一种通过Bayes定理评估临床测试性能的函数,包括敏感性、特异性等关键指标,同时提供绘制的图表解读。涉及参数解释、输出结果和应用实例。

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Clinical Test Performance

This function calculate the performance, based on Bayes theorem, of a clinical test.

Syntax: PARTEST(X,ALPHA)

Input:

X is the following 2x2 matrix.

ALPHA - significance level for confidence intervals (default = 0.05).

Outputs:

- Prevalence

- Sensibility and Specificity

- False positive and negative proportions

- False discovery and omission rates

- Youden's Index and Number Needed to Diagnose (NDD)

- Positive and Negative predictivity

- Positive and Negative Likelihood Ratio

- Predictive Summary Index (PSI) and Number Needed to Screen (NNS)

- Test Accuracy

- Mis-classification Rate

- F-Measure

- Test bias

- Error odds ratio

- Diagnostic odds ratio

- Discriminant Power

Moreover, the function draws two plots (as you can see in the screenshot)

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