Here is the design of a clinical trial:

Official Title: The Effect of a Telerehabilitation Virtual Reality Intervention on Functional Upper Limb Activities in People With Multiple Sclerosis

Included conditions:
- Multiple Sclerosis

Study Armgroups:
- {'label': 'Telerehab VR intervention', 'type': 'EXPERIMENTAL', 'description': 'The telerehab VR intervention consists of a custom-made software running on a computer connected with a commercial VR device (i.e. Oculus Rift). PwMS will be requested to reproduce several ADLs from the three main areas of self-care, dressing and meal preparation. The user can physically see his/her hands within the virtual scenario and, during the exercise, the hand coordinates are continuously recorded. Thus, data on 3D trajectory, speed, accuracy on target placement and movement smoothness, will be accessible. They will be stored in the PC and also be remotely sent to the clinical center for further analysis/processing. Both target position and task complexity will define the exercise difficulty, which can be modified automatically, on the basis of the previous performance or manually modified by the user', 'interventionNames': ['Behavioral: Telerehab VR intervention']}
- {'label': 'Conventional therapy', 'type': 'ACTIVE_COMPARATOR', 'description': "Conventional therapy will focus on task-related upper-limb treatments while in a sitting or prone position, representing the standard care in MS. Several manual techniques, therapy tools and objects of ADL will be allowed during treatment. No restrictions will be placed on the material used (ie, ADL, reaching and grasping material). Use of additional electrical or mechanical therapy devices (ie, support arm systems, splints) will be avoided. The interventions will be conducted on a one-on-one basis in the physiotherapy or occupational therapy department of each participating center. Training and therapy content will be tailored to each participant's preferences, the agreed movement aims and the motor function level of each MS patient.", 'interventionNames': ['Behavioral: Telerehab VR intervention']}

Interventions:
- {'type': 'BEHAVIORAL', 'name': 'Telerehab VR intervention', 'description': 'Training with VR system using software specifically designed to reproduce activities of daily living', 'armGroupLabels': ['Conventional therapy', 'Telerehab VR intervention']}

Primary Outcomes:
- {'measure': 'Change in Nine Hole Peg Test (9HPT)', 'description': 'The NHPT was selected based on the widespread adoption and extensive data available. Furthermore, the NHPT is recommended as a gold standard for measuring manual dexterity in pwMS.31 The NHPT has excellent psychometric properties regarding reliability, discriminant, concurrent and ecological validity, can detect progression over time, is sensitive to treatment and as such, is recommended for inclusion in clinical trials. Briefly explained, the NHPT requires participants to repeatedly place nine pegs into nine holes, one at a time, as quickly as possible and then remove them from the holes. The total time needed to complete the task is then recorded. Two consecutive trials with the dominant hand are immediately followed by two consecutive trials with the non-dominant hand.', 'timeFrame': 'Pre-intervention (T0, baseline), post-intervention (T1, +8 weeks from baseline)'}

Please estimate the sample size based on the assumption: 
Power is set at 80% and alpha at 5%. Moderate correlations among covariates are assumed with r-squared = 0.50.
Sample size
          The sample size is based on Juliousâs [31] recommendation that the rule of thumb for a pilot study is a sample size of 12 subjects per group. The justifications for this sample size are based on rationale relating to feasibility, mean and variance precision, regulatory considerations, and the expected change in the studyâs primary outcome measure (NHPT). According to the literature, a 20% change in the NHPT demonstrates a clinically meaningful worsening in PwMS [32]. In our study, power will be set at 80% and alpha at 5%. Therefore, 24 subjects (12 in each group) will be required in order to detect differences between the two treatment groups (assuming non-inferiority with moderate correlations among covariates, r-squaredâ=â0.50).