def test_mc_detect_censoring2(self):
df = load_gvhd_data()
g = MonteCarloGFormula(df,
idvar='id',
exposure='gvhd',
outcome='d',
time_in='day',
time_out='tomorrow')
npt.assert_equal(np.array(g.gf['__uncensored__']), 1 - df['censlost'])
def test_no_missing(self):
df = ze.load_gvhd_data()
assert df.shape[0] == df.dropna().shape[0]
def test_correct_ncols(self):
df = ze.load_gvhd_data()
assert df.shape[1] == 30
def test_correct_nobs(self):
df = ze.load_gvhd_data()
assert df.shape[0] == 108714
def test_return_pandas(self):
df = ze.load_gvhd_data()
assert isinstance(df, type(pd.DataFrame()))