Articles by Roos Colman

Interpretation of the AUC

September 13, 2018 | 0 Comments

The AUC* or concordance statistic c is the most commonly used measure for diagnostic accuracy of quantitative tests. It is a discrimination measure which tells us how well we can classify patients in two groups: those with and those without the outcome of interest. Since the measure is based on ...
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Interpretation of the AUC

September 12, 2018 | 0 Comments

The AUC* or concordance statistic c is the most commonly used measure for diagnostic accuracy of quantitative tests. It is a discrimination measure which tells us how well we can classify patients in two groups: those with and those without the outcome of interest. Since the measure is based on ... [Read more...]

Prediction Interval, the wider sister of Confidence Interval

June 15, 2018 | 0 Comments

In this post, I will illustrate the use of prediction intervals for the comparison of measurement methods. In the example, a new spectral method for measuring whole blood hemoglobin is compared with a reference method. But first, let's start with discussing the large difference between a confidence interval and a ...
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Comparing methods using a prediction interval

June 13, 2018 | 0 Comments

In this post, I will illustrate the use of prediction intervals for the comparison of measurement methods. In the example a new spectral method for measuring whole blood hemoglobin is compared with a reference method. First, let’s start with discussing the large difference between a confidence interval and a ... [Read more...]

Taking the baseline measurement into account

May 13, 2018 | 0 Comments

In Randomized Controlled Trials (RCTs), a “Pre” measurement is often taken at baseline (before randomization), and treatment effects are measured at one or more time point(s) after randomization (“Post” measurements). There are many ways to take the baseline measurement into account when comparing 2 groups in a classic pre-post design ... [Read more...]

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