Crafting statistical analysis plans: A cross‐discipline approach
Advanced Search
Select up to three search categories and corresponding keywords using the fields to the right. Refer to the Help section for more detailed instructions.

Search our Collections & Repository

All these words:

For very narrow results

This exact word or phrase:

When looking for a specific result

Any of these words:

Best used for discovery & interchangable words

None of these words:

Recommended to be used in conjunction with other fields

Language:

Dates

Publication Date Range:

to

Document Data

Title:

Document Type:

Library

Collection:

Series:

People

Author:

Help
Clear All

Query Builder

Query box

Help
Clear All

For additional assistance using the Custom Query please check out our Help Page

i

Crafting statistical analysis plans: A cross‐discipline approach

Filetype[PDF-476.93 KB]


Details You May Also Like

Details:

  • Journal Title:
    Stat
  • Personal Author:
  • NOAA Program & Office:
    NOS (National Ocean Service)
  • Description:
    Developing a plan for data analysis at the beginning of a study is an important practice that is underutilized in many scientific fields. Several funding agencies and journals now require submission of statistical analysis plans in advance of scientific studies, particularly in the clinical sciences. Even when a plan is not required, it can be advantageous to the scientific process by improving reproducibility. An analysis plan allows researchers to organize their knowledge about their research questions and experimental design to more easily recognize and choose the appropriate statistical analyses. An analysis plan provides a roadmap for the analyses: Researchers can think through potential statistical decisions (e.g. to transform or not to transform? how to handle missing or censored data?) in advance and thoroughly document the justifications and trade‐offs for their intended analyses. Such decisions are not influenced by data when made before data collection, thus preventing pitfalls like p‐hacking, HARKing and non‐replicability of results. We describe a general framework for crafting an analysis plan—including essential components of any plan—and provide an example template that can be used by researchers. The analysis plan framework is presented for broad appeal to experienced statisticians, quantitative researchers and everyone in between.
  • Keywords:
  • Source:
    Stat, 11(1)
  • DOI:
  • ISSN:
    2049-1573;2049-1573;
  • Format:
    PDF
  • Publisher:
    Wiley
  • Document Type:
    Journal Article
  • Funding:
    Grant no. NA22NOS4200071
  • Rights Information:
    Accepted Manuscript
  • Compliance:
    Library
  • Main Document Checksum:
  • Download URL:
  • File Type:

Supporting Files

  • No Additional Files

More +

You May Also Like

Checkout today's featured content at repository.library.noaa.gov

Version 3.26