Currently, the STRATOS initiative is not funded and all members are participating voluntary in the project. Therefore some delays may happen depending on your specific request. Please note that STRATOS is a project to develop guidance documents. Please understand that we do not help with issues concerning the design and analysis of specific studies.
- The STRATOS steering group welcomes applications from researchers, both statistical and clinical, to participate in the initiative.
- Applicants should indicate no more than two Topic Groups they would like to join, and should submit a two-page CV and short letter indicating their areas of expertise.
- Applications may be made at any time and should be emailed to firstname.lastname@example.org.
- Applications will be screened by the new members panel (NMP) (currently Willi Sauerbrei and James Carpenter).
- Suitable applications will then be passed to the relevant Topic Group Chairs, who will decide whether the applicant is qualified to assist with the work of one of the Topic Group’s projects.
- Topic Group chairs may contact the applicant directly to seek additional information on their suitability/availability. Concerning the role of the applicant they propose (i) no role, (ii) involvement in a specific project or (iii) full member.
- Topic Group chairs should then inform the NMP about their assessment. TG chairs and the NMP will discuss the situation if two TGs are interested getting the applicant involved. The NMP will inform the applicant about the decision and successful applicants will receive further information about the STRATOS initiative in a welcome letter.
Note that TG chairs should not contact applicants directly with an invitation/refusal, because more than one TG will often be considering applicants simultaneously.
Applicants will receive a decision within three months and new members will be added on the website with the next update.
|2.||Selection of Variables and Functional Forms in multivariable analysis|
|3.||Descriptive and initial data analysis|
|4.||Measurement Error and Misclassification|
|6.||Evaluating diagnostic tests and prediction models|