Related Experiment Video
Updated: Jan 11, 2026

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
Published on: September 27, 2019
On "Confirmatory" Methodological Research in Statistics and Related Fields
F J D Lange1,2, Juliane C Wilcke1, Sabine Hoffmann3
1Institute for Medical Information Processing, Biometry, and Epidemiology, Faculty of Medicine, LMU Munich, Munich, Germany.
Empirical methodological research, essential for scientific progress, is often exploratory (hypothesis-generating) or confirmatory (hypothesis-testing). Most published studies are exploratory, even when presented as confirmatory.
Area of Science:
- Statistics
- Biostatistics
- Methodological Research
Background:
- Empirical research is categorized as exploratory or confirmatory.
- The exploratory-confirmatory distinction is under-examined in empirical methodological research.
- This study addresses the gap in understanding this distinction within methodological research.
Purpose of the Study:
- Revisit empirical methodological research using the exploratory-confirmatory lens.
- Examine current practices in biostatistics regarding this distinction.
- Provide recommendations for designing, interpreting, and reporting methodological research.
Main Methods:
- Literature survey of 115 biostatistics articles.
- Analysis of research practices through the exploratory-confirmatory framework.
- Development of practical recommendations based on findings.
Main Results:
- Most published methodological studies are fundamentally exploratory, despite potential confirmatory framing.
- Both exploratory and confirmatory modes are vital for methodological advancement.
- A continuum exists between pure exploration and strict confirmation in methodological research.
Conclusions:
- Transparent reporting of research mode (exploratory/confirmatory spectrum) is recommended.
- Emphasize the importance of pre-defined study protocols, especially for confirmatory research.
- Appropriate design, interpretation, and reporting enhance the rigor of empirical methodological research.
More Related Videos
Related Concept Videos
Decision Making: Traditional Method
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
Statistical Inference Techniques in Hypothesis Testing: Parametric Versus Nonparametric Data
Parametric statistics, as the name suggests, assumes that data follow a specific distribution, often a normal distribution. This assumption enables robust hypothesis testing and estimation. Parametric methods, like the Student's t-test or Goodness-of-fit test, are frequently employed in biostatistics due to their robustness. For instance,...
Statistical Hypothesis Testing
Statistical significance measures the probability that an observed result occurred by chance. If this probability, known as...
Statistical Methods for Analyzing Epidemiological Data
Statistical Software for Data Analysis and Clinical Trials
Data Validation
Key parameters for method validation include:

