patientTimelines: Patient Timeline Data for Clinical Oncology

In sbalci/ClinicoPathJamoviModule: Analysis for Clinicopathological Research

Patient Timeline Data for Clinical Oncology

Description

A dataset containing simulated patient timeline data for clinical oncology research. This dataset represents typical patient journeys through cancer treatment, including diagnosis, treatment, response assessment, and outcomes. The data simulates a realistic clinical study where patients enroll at different timepoints and have varied treatment durations and outcomes.

Usage

patientTimelines

Format

A data frame with 30 rows and 15 variables:

PatientID

Patient identifier, formatted as PT001, PT002, etc.

StartTime

Numeric. Time at which observation began, varies between patients to represent staggered enrollment (some values greater than 0)

EndTime

Numeric. Time at which observation ended, in the same units as StartTime

BestResponse

Factor with levels: CR (Complete Response), PR (Partial Response), SD (Stable Disease), PD (Progressive Disease), NE (Not Evaluable)

Surgery

Numeric. Time of surgery relative to study start. May be negative for surgeries that occurred before enrollment

TreatmentStart

Numeric. Time when treatment began relative to study start

ResponseAssessment

Numeric. Time of response assessment relative to study start

Progression

Numeric. Time of disease progression, NA if no progression

Death

Numeric. Time of death, NA if patient alive at last follow-up

Risk

Factor with levels: High, Medium, Low. Risk classification for the patient

Age

Numeric. Patient age in years

ECOG

Integer (0-3). ECOG performance status

ResponseDuration

Numeric. Duration of response, calculated as Progression - ResponseAssessment

FollowUpDuration

Numeric. Total duration of follow-up, from StartTime to EndTime

Note

There is also a date-based version of this dataset where time variables are represented as actual dates instead of numeric values, named 'patientTimelinesDates'.

Examples

data(patientTimelines)

# Show staggered entry of patients into the study
hist(patientTimelines$StartTime,
     main = "Patient Enrollment Times",
     xlab = "Start Time")

# Basic swimmer plot
swimmerplot(
  data = patientTimelines,
  patientID = "PatientID",
  start = "StartTime",
  end = "EndTime",
  event = "BestResponse"
)

# With milestones
swimmerplot(
  data = patientTimelines,
  patientID = "PatientID",
  start = "StartTime",
  end = "EndTime",
  event = "BestResponse",
  milestone1Name = "Surgery",
  milestone1Date = "Surgery",
  milestone2Name = "Treatment",
  milestone2Date = "TreatmentStart"
)

sbalci/ClinicoPathJamoviModule documentation built on June 13, 2025, 9:34 a.m.