Basic↦Statistic Methodology↦Statistics↦Statistician Role
What is it? Why is it important?
A statistician uses statistics with the aim to help researchers in the interpretation of their data.
Tasks may include support:
- Prior to study start:
- Calculate the number of study participants needed to answer the primary research question (e.g. sample size calculation)
- Assist in the writing of the study protocol (e.g. planned interim analysis, definition of statistical method(s))
- Program the randomization list (e.g. participants are randomly allocated either to an intervention or control group)
- After data collection:
- Validate the data to ensure there are no obvious mistakes (e.g. dates = 2032, unrealistic vital signs such as body temperature = 85°C)
- Prepare the data for analysis (e.g. derive new variables, such as BMI calculations based on weight and height)
- Analyse the data (e.g. based on specifications given in a study protocol)
- Present the statistical results by writing a statistical report
- Assist in the publication of the study (e.g. scientific publications, abstract, posters)
What do I need to do?
As a SP-INV request the assistance of a statistician as early as possible (e.g. during the concept phase of your study).
A statistician can:
- Assist in study planning, such as the selection of an appropriate study design, set-up of the study’s randomisation procedures, select the appropriate statistical methods
- Assist in writing the statistical section of the study protocol
- Perform the statistical analysis during study conduct (e.g. interim analysis) and upon study termination
- Write the statistical report
- Assist in the presentation of study results (e.g. publications, posters)
As a SP-INV, ensure the study statistician has the appropriate education and training needed to manage the statistical aspects of your study.
Typically, a statistician has no education in medicine. Good communication and a close collaboration is therefore the key to success.
Where can I get help?
Your local Research Support Centre↧ can assist you with experienced staff regarding this topic
Basel, Departement Klinische Forschung (DKF), dkf.unibas.ch
Lugano, Clinical Trials Unit (CTU-EOC), ctueoc.ch
Bern, Department of Clinical Research (DCR), dcr.unibe.ch
Geneva, Clinical Research Center (CRC), crc.hug.ch
Lausanne, Clinical Research Center (CRC), chuv.ch
St. Gallen, Clinical Trials Unit (CTU), h-och.ch
Zürich, Clinical Trials Center (CTC), usz.ch
References
ICH Topic E9 statistical Principles for Clinical Trials – see in particular
- 1.1. Background and Purpose