54 lines
1.3 KiB
Python
54 lines
1.3 KiB
Python
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"""Heart Transplant Data, Miller 1976"""
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from statsmodels.datasets import utils as du
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__docformat__ = 'restructuredtext'
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COPYRIGHT = """???"""
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TITLE = """Transplant Survival Data"""
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SOURCE = """Miller, R. (1976). Least squares regression with censored data. Biometrica, 63 (3). 449-464.
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"""
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DESCRSHORT = """Survival times after receiving a heart transplant"""
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DESCRLONG = """This data contains the survival time after receiving a heart transplant, the age of the patient and whether or not the survival time was censored.
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"""
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NOTE = """::
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Number of Observations - 69
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Number of Variables - 3
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Variable name definitions::
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death - Days after surgery until death
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age - age at the time of surgery
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censored - indicates if an observation is censored. 1 is uncensored
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"""
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def load():
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"""
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Load the data and return a Dataset class instance.
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Returns
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-------
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Dataset
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See DATASET_PROPOSAL.txt for more information.
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"""
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return load_pandas()
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def load_pandas():
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data = _get_data()
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dataset = du.process_pandas(data, endog_idx=0, exog_idx=None)
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dataset.censors = dataset.exog.iloc[:, 0]
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dataset.exog = dataset.exog.iloc[:, 1]
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return dataset
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def _get_data():
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return du.load_csv(__file__, 'heart.csv')
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