def test_transport_iptw(self, df_c):
ipsw = IPSW(df_c,
exposure='A',
outcome='Y',
selection='S',
generalize=False)
ipsw.sampling_model('L + W + W_sq', print_results=False)
ipsw.treatment_model('L', print_results=False)
ipsw.fit()
npt.assert_allclose(ipsw.risk_difference, 0.047296, atol=1e-5)
npt.assert_allclose(ipsw.risk_ratio, 1.1372, atol=1e-4)
def test_generalize_weight(self, df_c):
ipsw = IPSW(df_c,
exposure='A',
outcome='Y',
selection='S',
generalize=True,
weights='weight')
ipsw.sampling_model('L + W + W_sq', print_results=False)
ipsw.treatment_model('L', print_results=False)
ipsw.fit()
npt.assert_allclose(ipsw.risk_difference, 0.055034, atol=1e-5)
npt.assert_allclose(ipsw.risk_ratio, 1.167213, atol=1e-4)