Development↦Statistic Methodology↦Statistics in the Protocol↦The Hypothesis
Was betrifft es? Warum ist das wichtig?
A statistical hypothesis is an assumption about a population parameter that is subject to empirical testing.
Example: a study assesses the effect of a new medication on blood pressure. The parameter in question is the mean blood pressure of the population.
Researchers establish a statistical hypothesis by formulating two competing hypotheses:
- A null hypothesis - also referred to as H0: represents a default assumption (i.e. no treatment effect exists. Based on the example above, no difference in blood pressure between the intervention and control group is detected)
- An alternative hypothesis - also referred to as Ha: suggests a difference or an effect (i.e. a treatment effect does exist. Based on the example above, blood pressure is higher in participants taking a placebo than in participants taking the medication under investigation)
Statistical analyses are used to assess the data collected in a study, enabling researchers to conclude whether H0 may or may not be rejected in favour of Ha.
Was muss ich befolgen?
As a SP-INV, think about the statistical framework of your study. As described in the sample size calculation topic, there are two possible frameworks:
- The precision-based framework
- The hypothesis testing framework
If the study aims at estimating a quantity with a certain accuracy, you are in the precision-based framework and therefore do not need to define a statistical hypothesis. Example: a study aims at estimating the proportion of deaths within 30 days of a myocardial infarction.
If you need to conduct a statistical test to address your research question, you are in the hypothesis testing framework, and need to define H0 and Ha.
Example: a study aims at testing the effect of an intervention (e.g. blood pressure lowering drug) between a placebo and intervention group.
Wo kann ich Hilfe anfordern?
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 – see in particular
- 5.5 Estimation, confidence intervals and hypothesis testing
Swiss Law
ClinO – see in particular article
- Art. 2b Definition intervention
ClinO-MD – see in particular article
- Art. 2a Definition of clinical intervention
- Art. 2a Definition of performance study
HRO – see in particular article
- Art. 3a Definition of research