Synthetic Clinical Trial Datasets

Example Dataset

Example Clinical Trial Schema

Schema and example preview for datasets in this category, fetched from the blueprint API.

Variable Schema

Column Name	Type	Description
patient_id	string	Unique synthetic patient identifier
age	number	Synthetic patient age
sex	string	Synthetic patient sex
trial_arm	string	Treatment or control group assignment
baseline_value	number	Baseline measurement
endpoint_value	number	Outcome measurement at endpoint
change_from_baseline	number	Difference between endpoint and baseline
responder	number	Binary outcome (1 = responder, 0 = non-responder)

Data Preview

First 9 rows (preview only)

patient_id	age	sex	trial_arm	baseline_value	endpoint_value	change_from_baseline	responder
P000001	66	Female	treatment	8.5	7.1	-1.4	1
P000002	59	Male	control	8.9	8.2	-0.7	0
P000003	71	Female	treatment	9.1	7.4	-1.7	1
P000004	63	Male	control	8.7	8	-0.7	0
P000005	54	Female	treatment	8.3	6.9	-1.4	1
P000006	68	Male	control	9	8.4	-0.6	0
P000007	60	Female	treatment	8.6	7	-1.6	1
P000008	65	Male	control	8.8	8.1	-0.7	0
P000009	57	Female	treatment	8.4	6.8	-1.6	1

Reproduce This Dataset

Recreate this dataset in Python (Jupyter, Kaggle, or Google Colab) using the Syntherx SDK.

# Install Syntherx SDK
pip install syntherx

from syntherx import generate_dataset

df = generate_dataset(
    blueprint="clinical_trial_outcomes",
    rows=5000
)

df.to_csv("clinical_trial_outcomes.csv")

Use Cases

Clinical trial simulation
Endpoint analysis and modeling
Treatment effect evaluation

Privacy-Safe Synthetic Dataset

Contains no real patient data
Generated using statistical simulation
Designed for machine learning research