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Design clinical studies and report using CONSORT, STROBE guidelines
Passed 21 of 22 test cases with the skill, and 19 of 22 without it.
and 1 more in the full report
2 fixed19 passed either way1 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 2 test cases the skill fixed. Same model, same prompt, with and without the skill.
We are setting up a parallel two-group clinical trial and expect a Cohen's d effect size of 0.35. Assuming a standard alpha of 0.05 and 80% statistical power, please compute the required enrollment per treatment arm, the total sample size needed, and guidance on adjusting for participant dropouts.
| Checked | Without skill | With skill |
|---|---|---|
| Calculates 129 participants required per treatment arm. | Missed | Passed |
| Calculates a total baseline sample size of 258 participants. | Missed | Passed |
| Recommends adding 10% to 20% to the sample size for anticipated dropout. | Missed | Passed |
The instructions your model reads when the skill loads.
A skill for designing clinical studies and reporting results according to established guidelines. Covers randomized controlled trials (CONSORT), observational studies (STROBE), diagnostic studies (STARD), and systematic reviews (PRISMA).
Systematic Reviews / Meta-analyses
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Randomized Controlled Trials (RCTs)
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Cohort Studies (prospective)
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Case-Control Studies
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Cross-Sectional Studies
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Case Reports / Case Series
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Expert Opinion
Choose the design that best answers your research question
given ethical, practical, and resource constraints.
def select_study_design(research_question: str,
can_randomize: bool,
outcome_prevalence: str,
time_constraint: str) -> dict:
"""
Guide selection of clinical study design.
Args:
research_question: The clinical question
can_randomize: Whether randomization is ethical and feasible
test cases passed, vs 19 / 22 without
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