Dataset Viewer
Auto-converted to Parquet Duplicate
trial_id
string
site_id
string
week
int64
dropout_rate
float64
ae_burden_per_patient
float64
serious_ae_fraction
float64
time_to_onset_efficacy_days
int64
observed_endpoint_change
float64
censoring_bias_0_1
float64
informative_censoring_z
float64
analysis_fail_next_60d
int64
label_analysis_fail_next_60d
int64
TRIAL_CEN01
S01
4
0.04
0.8
0.1
28
-0.1
0.18
0.2
0
0
TRIAL_CEN01
S01
6
0.05
0.9
0.12
28
-0.12
0.22
0.3
0
0
TRIAL_CEN01
S02
8
0.07
1.1
0.14
35
-0.11
0.3
0.6
0
0
TRIAL_CEN01
S02
10
0.1
1.4
0.18
35
-0.08
0.42
1
1
1
TRIAL_CEN01
S03
12
0.13
1.7
0.22
42
-0.05
0.55
1.4
1
1
TRIAL_CEN02
S01
5
0.03
0.7
0.09
21
-0.11
0.15
0.2
0
0
TRIAL_CEN02
S02
7
0.05
0.9
0.11
21
-0.12
0.2
0.3
0
0
TRIAL_CEN02
S03
9
0.09
1.3
0.17
28
-0.09
0.38
0.9
1
1
TRIAL_CEN02
S03
11
0.12
1.6
0.21
35
-0.06
0.52
1.3
1
1
TRIAL_CEN02
S04
6
0.06
1
0.13
28
-0.1
0.26
0.5
0
0

Clinical Quad Dropout AE Burden Efficacy Lag Informative Censoring v0.1

Each row is a site week snapshot.

Core quad

Dropout rate
AE burden
Efficacy lag
Informative censoring

Target

label_analysis_fail_next_60d

Files

data/train.csv
data/tester.csv
scorer.py

Evaluation

Run model on data/tester.csv
Return predictions row aligned
Score with scorer.py

License

MIT

Downloads last month
13