def test_match_sas_ci(self, counts_1):
sas_se = 0.6757, 1.4799
rr = risk_ratio(counts_1[0], counts_1[1], counts_1[2], counts_1[3])
npt.assert_allclose(np.round(rr[1:3], 4), sas_se)
def test_value_error_for_negative_counts(self):
with pytest.raises(ValueError):
risk_ratio(-5, 1, 1, 1)
def test_risk_ratio_equal_to_1(self, counts_1):
rr = risk_ratio(counts_1[0], counts_1[1], counts_1[2], counts_1[3])
assert rr.point_estimate == 1
def test_risk_ratio_equal_to_2(self):
rr = risk_ratio(50, 50, 25, 75)
assert rr.point_estimate == 2
def test_odds_ratio_greater_than_risk_ratio(self):
odr = odds_ratio(50, 50, 25, 75)
rr = risk_ratio(50, 50, 25, 75)
assert odr.point_estimate > rr.point_estimate