Assessment of real-world clinical practice before data analysis

Capturing real-world clinical data and its analysis is different from randomized clinical trials in many ways. One of the differences is that there is that patients’ visits to the attending physician are scheduled is a less strict manner than in trials and reflect clinical practice in different hospitals and countries. This should be taken into account when assessing time-dependent endpoints, such as time to disease progression, time to first hospitalization etc., since they can be potentially biased by time intervals in which patients come to a follow-up visit.


Progression, survival, treatment, chronic disease

A difference of a few weeks in the scheduled assessment of disease progression may lead to biased comparative assessment of e.g. progression-free survival. It is therefore important to check the frequency of visits in different patient cohorts that enter an analysis and reflect eventual differences in the final interpretation.

a skilled statistician

concret: specific best practice (e.g. use microservice)

Application domain:
Medicine/Healthcare, Data science (analysis & visualisation)

Main phase:
Data Science: Preparation/Integration

Related literature:

In which projects do/did you use this practice?

Project Manager

6–10 years of experiences
Masaryk University

1. How do ​you rate the potential benefit for your projects? 5
2. How often are you using that practice? 4
3. What is the effort to introduce the practice in your project upfront? 2
4. What is the effort to apply the best practice in your project daily basis? 3

Questions 1, 3 and 4 (1 = Low, 5 = High)
Question 2 (1 = Never, 5 = Always)

You are running an old browser version. We recommend updating your browser to its latest version.

More info