Reanalyse

Reanalyse is the act of analyzing something again, typically to reassess findings, conclusions, or data after new information, methods, or errors are identified. This may involve applying different statistical approaches, updating datasets, or revisiting underlying assumptions to verify or refine prior results.

Spelling and usage: In British English the verb is commonly reanalyse; in American English the form reanalyze is preferred. The related noun reanalysis denotes the act of analyzing again; in meteorology, reanalysis is a well-established term referring to a combined observations-based weather data product, which is different from the general verb sense.

Applications and practices: Reanalysis is used to address replication concerns, resolve conflicting findings, and incorporate new information. It may entail sensitivity analyses, robustness checks, or using alternative models. Transparent documentation and preregistration can help distinguish confirmatory from exploratory reanalysis.

Limitations: Reanalyse can be influenced by data quality, model choice, and publication bias. It should be conducted and reported carefully to avoid p-hacking or selective reporting.

See also: replication, reproducibility, reanalysis (meteorology).