The ASA Committee on Professional Ethics seeks input on the Ethical Guidelines for Statistical Practice, which are permanently linked here:
http://www.amstat.org/ASA/Your-Career/Ethical-Guidelines-for-Statistical-Practice.aspx
If you would like to contribute a recommendation for revision to the Guidelines, or for a comment for the linked discussion, we have created discussion threads for each of the Guidelines' individual principles. Please comment on the principle(s) most directly related to your suggestion(s).
Your suggestions should be as specific and complete as possible so that the Committee or its designated Working Group can review and consider your suggestions and input. All suggestions received through these discussion threads will be considered by the Committee.
The practice of statistics requires consideration of the entire range of possible explanations for observed phenomena, and distinct observers drawing on their own unique sets of experiences can arrive at different and potentially diverging judgments about the plausibility of different explanations. Even in adversarial settings, discourse tends to be most successful when statisticians treat one another with mutual respect and focus on scientific principles, methodology and the substance of data interpretations. Out of respect for fellow statistical practitioners, the ethical statistician:
- Promotes sharing of data and methods as much as possible and as appropriate without compromising propriety. Makes documentation suitable for replicate analyses, metadata studies, and other research by qualified investigators.
- Helps strengthen the work of others through appropriate peer review; in peer review, respects differences of opinion and assesses methods, not individuals. Strives to complete review assignments thoroughly, thoughtfully, and promptly.
- Instills in students and non-statisticians an appreciation for the practical value of the concepts and methods they are learning or using.
- Uses professional qualifications and contributions as the basis for decisions regarding statistical practitioners' hiring, firing, promotion, work assignments, publications and presentations, candidacy for offices and awards, funding or approval of research, and other professional matters.