What is it? Why is it important?

In studies:

  • An outcome (or dependent variable), is a variable that researchers want to investigate (i.e. understand, explain, or predict)
  • A predictor (or independent variable), is a variable that potentially has an effect on the outcome variable

 

When addressing a research question, researchers study the association between an outcome of interest and one (or several) predictor(s).

 

For example

A researcher interested in understanding the variation in exam results, may build a statistical model to examine the relationship between exam results (the outcome), and the time used to prepare for the exam, including the socio-economic status of participants (predictors)

What do I need to do?

As a SP-INV, think about the different predictors that may affect your study outcome. Which predictor(s) would you consider relevant to be included in your analysis?

 

When selecting predictor(s) of interest consider:

  • The scientific rational: Clinical knowledge and previously published work may help you to define the most relevant predictor(s)
  • Practical aspects and feasibility: Both outcome and predictor(s) are variables that are somehow measured. Assess available resources needed to collect the required data (e.g. material, time, money).

 

The number of potential predictors may be infinite. However, the number of predictors that can be included in a statistical analysis is limited.

 

The number of predictors to be included in the analysis depends on the number of observed outcomes (see examples under more)

More

Example of variable type and its effect on the number of observed outcomes:

  • Continuous outcome (e.g. blood pressure): The number of outcomes depend on the number of study participants and assessments per participant (e.g. blood pressure can be measured several times at 3, 6 and 12 months)
  • Binary outcome (e.g. death): The number of outcomes depend on the number of participants and the frequency of the outcome (e.g. death is expected in 10% of participants)

 

Increasing the number of observed outcomes is often challenging, and it is therefore important to focus on predictors of interest that are relevant to your research question.

Where can I get help?

Your local CTU can support you with experienced staff regarding this topic

References

ICH Topic E9 – see in particular

  • 2.2.6 Surrogate Variables
Abbreviations
  • CTU – Clinical Trials Unit
  • ICH – International Council for Harmonisation
  • SP-INV – Sponsor Investigator
Basic ↦ Statistic Methodology ↦ Data Collection ↦ Predictor Variable
Study
Basic

Provides some background knowledge and basic definitions

Basic Monitoring
Basic Drug or Device
Concept

Starts with a study idea

Ends after having assessed and evaluated study feasibility

Concept Statistic Methodology
Concept Drug or Device
Development

Starts with confidence that the study is feasible

Ends after having received ethics and regulatory approval

Development Drug or Device
Set-Up

Starts with ethics and regulatory approval

Ends after successful study initiation

Set-Up Ethics and Laws
Set-Up Statistic Methodology
Set-Up Quality and Risk
Set-Up Drug or Device
Conduct

Starts with participant recruitment

Ends after the last participant has completed the last study visit

Conduct Statistic Methodology
Conduct Drug or Device
Completion

Starts with last study visit completed

Ends after study publication and archiving

Completion Statistic Methodology
Completion Drug or Device
Current Path (click to copy): Basic ↦ Statistic Methodology ↦ Data Collection ↦ Predictor Variable

Please note: the Easy-GCS tool is currently under construction.