Simulated dataset for a prospective cohort study (non-randomized observational design)
with multiple exclusion stages. Designed for testing the studydiagram function
and demonstrating participant flow in observational research.
Format
A data frame with 350 rows and 8 columns:
- participant_id
Unique participant identifier (OBS-0001 to OBS-0350)
- enrollment_date
Date of enrollment (2023-01-01 onwards)
- age
Age in years (mean=58, sd=15)
- diagnosis
Disease stage (Stage I/II/III/IV)
- initial_exclusion
Initial screening exclusion reasons
- consent_status
Consent/enrollment exclusion reasons
- followup_status
Follow-up completion status and reasons for loss
- in_final_analysis
Logical flag indicating inclusion in final analysis
- study_group
Observational cohort assignment (Surgery/Radiation/Combination)
Details
This dataset simulates a realistic observational cohort study with:
350 participants initially enrolled
15\
8\
10\
Final retention: 70.6\
Unlike the RCT dataset (clinical_trial_consort_data), this represents
observational allocation to treatment groups (not randomized).
Usage
This dataset demonstrates:
Non-randomized study flow visualization
Observational cohort allocation
Temporal enrollment patterns (enrollment_date)
Multiple exclusion pathways without randomization
Examples
if (FALSE) { # \dontrun{
# Load data
data(observational_study_flow_data)
# View structure
str(observational_study_flow_data)
# Enrollment over time
table(format(observational_study_flow_data$enrollment_date, "%Y-%m"))
# Final analysis by study group
table(observational_study_flow_data$study_group,
observational_study_flow_data$in_final_analysis)
} # }