Time-to-Publication Data#
Publication times for 244 clinical trials funded by the National Heart, Lung, and Blood Institute.
posres: Did the trial produce a positive (significant) result? 1=Yes, 0=No.multi: Did the trial involve multiple centers? 1=Yes, 0=No.clinend: Did the trial focus on a clinical endpoint? 1=Yes, 0=No.mech: Funding mechanism within National Institute of Health: a qualitative variable.sampsize: Sample size for the trial.budget: Budget of the trial, in millions of dollars.impact: Impact of the trial; this is related to the number of publications.time: Time to publication, in months.status: Whether or not the trial was published attime: 1=Published, 0=Not yet published.
Source#
Gordon, Taddei-Peters, Mascette, Antman, Kaufmann, and Lauer. Publication of trials funded by the National Heart, Lung, and Blood Institute. New England Journal of Medicine, 369(20):1926-1934, 2013.
from ISLP import load_data
Publication = load_data('Publication')
Publication.columns
Index(['posres', 'multi', 'clinend', 'mech', 'sampsize', 'budget', 'impact',
'time', 'status'],
dtype='object')
Publication.shape
(244, 9)
Publication.columns
Index(['posres', 'multi', 'clinend', 'mech', 'sampsize', 'budget', 'impact',
'time', 'status'],
dtype='object')
Publication.describe().iloc[:,:4]
| posres | multi | clinend | sampsize | |
|---|---|---|---|---|
| count | 244.000000 | 244.000000 | 244.000000 | 244.000000 |
| mean | 0.401639 | 0.151639 | 0.184426 | 2000.573770 |
| std | 0.491237 | 0.359408 | 0.388629 | 6206.057536 |
| min | 0.000000 | 0.000000 | 0.000000 | 18.000000 |
| 25% | 0.000000 | 0.000000 | 0.000000 | 150.000000 |
| 50% | 0.000000 | 0.000000 | 0.000000 | 300.000000 |
| 75% | 1.000000 | 0.000000 | 0.000000 | 810.250000 |
| max | 1.000000 | 1.000000 | 1.000000 | 48835.000000 |