MED-ADHD: EAGG RCT Dataset Curated at Southampton University
Complete this form to obtain the MED-ADHD dataset
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Description of the MED-ADHD database
Text to insert here, with all rules about authorship recalled
Steps for a project using the MED-ADHD dataset
  1. Carefully check that your project has not already been submitted by another team (https://docs.google.com/spreadsheets/d/1qgxnPo9E77LrsMqH3C6ANb3AoaNmDu5NV76WvtY-a0g/edit#gid=0). If so, feel free to contact them to propose your help.
  2. Read the data dictionnary and save all the variables of interest.
  3. Fullfill the present proposal form, which includes a description of the projet, a list of variables you would need, as well as a description of the team behind it. 
  4. Wait for the approval of the request.
  5. Once approved, you will receive the files by encrypted e-mail. You will need a ProtonMail account to read it. 
  6. Analyze the dataset and send us the manuscript describing the results.
  7. Publish the manuscript (note that the code used to analyze the data MUST be shared, but the raw data cannot be shared).
  8. Delete both the dataset we sent you and the email in your ProtonMail mailbox.
Description of your team
Proponent email address *
Proponent Name (links to google scholar are appreciated) *
Proponent institution (links to your institution/lab are appreciated) *
Other members involved in the team *
Description of the project
Proposal title *
Rationale and background (max 500 words) *
Hypotheses (max 5, ranked as main/secondary) *
Clinical research question (PICO) *
[PICO-P]  Describe the eligibility criteria for the participants.
*
[PICO-I]  Describe the eligibility criteria for the intervention(s).
*
[PICO-C]  Describe the eligibility criteria for the comparator(s).
*
[PICO-O]  Describe the eligibility criteria for the outcome(s).
*
Description of the variables 
Select the variables you would need to complete your project
Variables needed *
Required
Data analysis plan
Describe here details on the data analysis you plan to conduct. Key necessary information are the predictor(s), outcome(s), covariate(s), and the statistical model you plan to use. *
Any further comment
Please indicate us any information that is important to take into account when reviewing your project. You can also use this section to indicate us the file format of the dataset you would like to receive (.xlsx, .csv, .txt, .dta or .rds)
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