In clinical trial analysis, tables and listings are two different types of outputs that are commonly used to present the results of data analyses to regulatory authorities.
Tables are typically used to present summary statistics or results for specific endpoints, such as mean or median values, standard deviations, or p-values. They are often organized by treatment group or other relevant subgroups, and are typically presented in a structured format that makes it easy to compare results across groups. Tables are often used to report the primary or secondary endpoints of a study, as well as any other important outcomes or findings.
Listings, on the other hand, are typically more detailed and provide a more granular view of the data. They are often used to present the individual patient-level data that underlies the summary statistics presented in the tables. Listings can include information such as demographic data, treatment allocation, adverse events, and laboratory results. They are often used to support the findings presented in the tables, and can be useful for identifying trends or patterns in the data that might not be apparent from the summary statistics alone.
Both tables and listings are important components of the clinical trial analysis process, and both are typically included in the submission package that is presented to regulatory authorities for review. Tables are often used to provide a high-level summary of the study results, while listings are used to provide a more detailed view of the data that underlies those results. By presenting both types of outputs, clinical trial sponsors can provide a comprehensive and transparent view of the study results, and can help to ensure that the data are accurate, reliable, and interpretable.