Here is the design of a clinical trial:

Official Title: When to INDuce for OverWeight? - a Randomised Controlled Trial (WINDOW)

Included conditions:
- Pregnancy
- Obesity
- Parturition

Study Armgroups:
- {'label': 'Elective induction of labour', 'type': 'EXPERIMENTAL', 'description': 'Elective induction of labour at 39 gestational weeks and 0 to 3 days.', 'interventionNames': ['Procedure: Elective induction of labor at 39 gestational weeks and 0 to 3 days']}
- {'label': 'Expectant management', 'type': 'NO_INTERVENTION', 'description': 'Awaiting spontaneous labor.'}

Interventions:
- {'type': 'PROCEDURE', 'name': 'Elective induction of labor at 39 gestational weeks and 0 to 3 days', 'description': 'Elective induction of labor (eIOL) according to local policies', 'armGroupLabels': ['Elective induction of labour'], 'otherNames': ['eIOL']}

Primary Outcomes:
- {'measure': 'Caesarean section', 'description': 'number (no.)', 'timeFrame': 'At delivery'}

Please estimate the sample size based on the assumption: 
Alpha of 0.05, power of at least 85%, and consideration of dropout and crossover.
Sample size
          The power calculation was based on the assumption of a caesarean section rate in the expectant management group of 25% and in the induction of labour group of 19%. These data were based on the caesarean section rate among women with a prepregnancy BMI â¥30âkg/m2 who delivered at Aarhus University Hospital in 2018. On the basis of these numbers and with an alpha of 0.05, a total sample size of 854 per group would provide a power of at least 85% to detect a difference of 6% in the caesarean section rate between the two groups. Anticipating dropout and allowing crossover the sample size was increased to 950 participants in each group (1900 in total).