Master Dataset
The master data table represents a comprehensive collection of information derived from multiple simulated datasets, consolidated into a single, wide-format structure. In this format, each subject is represented by a unique row, ensuring that all data points pertaining to an individual are contained within a single entry. This wide-format approach allows for efficient cross-referencing of different data types for each subject, facilitating easier analysis and interpretation of complex, multi-faceted datasets. By integrating various data sources into one cohesive table, researchers and analysts can readily observe patterns, correlations, and trends across multiple domains without the need for complex data merging operations. This master data structure serves as a powerful tool for comprehensive data analysis, enabling a holistic view of each subject across all measured parameters.
Wide format data (such as ADSL) typically arranges variables in columns, with each row representing a subject.
Long format data (such as ADLB), on the other hand, organizes data with repeated measures in multiple rows per subject.
Wide format data makes it easier to grasp overall characteristics, while long format data is useful for analyzing changes over time and facilitating data manipulation.
Wide format and long format can be transffered to each other. Below is a example to show how ADLB is changed from the orginal long format to a wide format dataset.
Follow-up vs baseline changes can be easily derived by column calculation. For each endpoint, V1/V2 values minus V0 values to calculate the changes.
Once all datasets are in wide format, they can be joined together to create a master dataset for further analysis.