MIE 2026 Workshop

Published dataset · MIE2026

Published 2026-05-26 35 variables TRE access only 3 code versions

Description

Workshop training application for the MIE 2026 TRACE session. The purpose of this application is to demonstrate the TRACE data access workflow using a synthetic longitudinal clinical dataset. Participants will use the provided data to run example Python/Jupyter analyses and visualize cohort composition, disease activity over time, patient-level trajectories, and laboratory markers.

Available Variables (35)

consent

record_id
screen_date
ic_obtained
consent_date
ie_all

demographics

brthdtc
sex
ethnic
smoking
bmi
mhcat

diagnosis

icd
mhstdtc
disease_duration
disease_behaviour
eim_present

visit_status

visit_attended

clinical_assesment

visit_date
symptoms
pga
current_flare

medication

cmtrt

adverse_events

aeyn
aeterm

lab_results

esr_mm_h
hb_mg_dl
fec_cal

endoscopy_imaging

proc_type
proc_date

study_completion

dscompl
dsreas
clinical_remission
ibd_surgery
trt_escalation
trt_discontinuation

Analysis Code

Viewing: v2 Python Multi-file Archive

Version v2 (Python)

Created by mmueller · 2026-05-26 19:21

Download ZIP

Archive contents

MIE2026_fake_IBD_workshop_plots_single_csv.ipynb

script · 219503 bytes

script
MIE2026Workshop_DATA_2026-05-18_1112.csv

data · 56615 bytes

file

Entry point: MIE2026_fake_IBD_workshop_plots_single_csv.ipynb
Uncompressed size: 276118 bytes
Files: 2

README

No README found in this archive.

Version Timeline (by language)

PYTHON

v1 v2 v3

Version History

Version	Language	Type	Relation	Author	Date
Global v1 (Python v1)	Python	Single Script	Initial Implementation	trace20	2026-05-26
Global v2 (Python v2) selected	Python	Multi-file Archive	Refinement/Bug Fix ← Global v1	mmueller	2026-05-26
Global v3 (Python v3)	Python	Multi-file Archive	Refinement/Bug Fix ← Global v2	loki	2026-05-26

Data Access

Data is available only upon formal request and subject to approval.

Approved users receive a secure institute account and work with the data exclusively in our Trusted Research Environment (TRE) via remote desktop.

Request data

Reuse & Usage Terms

Data is not downloadable (TRE access only).
Approved users receive a personal institute account.
Tools available: RStudio, Jupyter, Python, Stata, etc.
Data resides in your TRE home directory.
Re-use/publication per Data Use Agreement (DUA).
No redistribution of the data.

Contact

Marcel Müller

Publisher

MIE2026

Project

MIE 2026 Workshop

MIE2026 Workshop 10 instruments