def test_plot1(self):
(inc_cost, inc_qaly, icer_out, order, icer_data, self.fig) = dcs.icer(self.cost, self.qaly, make_plot=True)
np.testing.assert_array_equal(inc_cost, self.inc_cost, 'Incremental cost mismatch.')
np.testing.assert_array_equal(inc_qaly, self.inc_qaly, 'Incremental QALY mismatch.')
np.testing.assert_array_equal(icer_out, self.icer_out, 'ICER mismatch.')
np.testing.assert_array_equal(order, self.order, 'Order mismatch.')
self.assertTrue(isinstance(self.fig, plt.Figure))
def test_slide_example(self):
(inc_cost, inc_qaly, icer_out, order, icer_data, self.fig) = dcs.icer(self.cost, self.qaly)
np.testing.assert_array_equal(inc_cost, self.inc_cost, 'Incremental cost mismatch.')
np.testing.assert_array_equal(inc_qaly, self.inc_qaly, 'Incremental QALY mismatch.')
np.testing.assert_array_equal(icer_out, self.icer_out, 'ICER mismatch.')
np.testing.assert_array_equal(order, self.order, 'Order mismatch.')
self.assertTrue(self.fig is None)
def test_names(self):
(inc_cost, inc_qaly, icer_out, order, icer_data, self.fig) = dcs.icer(self.cost, self.qaly, \
names=['Name 1', 'Name 2', 'Another name', 'Final Name'])
np.testing.assert_array_equal(inc_cost, self.inc_cost, 'Incremental cost mismatch.')
np.testing.assert_array_equal(inc_qaly, self.inc_qaly, 'Incremental QALY mismatch.')
np.testing.assert_array_equal(icer_out, self.icer_out, 'ICER mismatch.')
np.testing.assert_array_equal(order, self.order, 'Order mismatch.')
self.assertTrue(self.fig is None)
def test_single_input(self):
ix = 0
(inc_cost, inc_qaly, icer_out, order, icer_data, self.fig) = dcs.icer(self.cost[ix], self.qaly[ix])
np.testing.assert_array_equal(inc_cost, self.inc_cost[ix], 'Incremental cost mismatch.')
np.testing.assert_array_equal(inc_qaly, self.inc_qaly[ix], 'Incremental QALY mismatch.')
np.testing.assert_array_equal(icer_out, self.icer_out[ix], 'ICER mismatch.')
np.testing.assert_array_equal(order, self.order[ix], 'Order mismatch.')
self.assertTrue(self.fig is None)
def test_list_inputs(self):
cost = [this_cost for this_cost in self.cost]
qaly = [this_cost for this_cost in self.qaly]
(inc_cost, inc_qaly, icer_out, order, icer_data, self.fig) = dcs.icer(cost, qaly)
np.testing.assert_array_equal(inc_cost, self.inc_cost, 'Incremental cost mismatch.')
np.testing.assert_array_equal(inc_qaly, self.inc_qaly, 'Incremental QALY mismatch.')
np.testing.assert_array_equal(icer_out, self.icer_out, 'ICER mismatch.')
np.testing.assert_array_equal(order, self.order, 'Order mismatch.')
self.assertTrue(self.fig is None)
def test_all_dominated_by_last(self):
cost = np.array([10, 20, 30, 1])
qaly = np.array([1, 2, 3, 100])
(inc_cost, inc_qaly, icer_out, order, icer_data, self.fig) = dcs.icer(cost, qaly)
np.testing.assert_array_equal(inc_cost, 1, 'Incremental cost mismatch.')
np.testing.assert_array_equal(inc_qaly, 100, 'Incremental QALY mismatch.')
np.testing.assert_array_equal(icer_out, 0.01, 'ICER mismatch.')
np.testing.assert_array_equal(order, np.array([np.nan, np.nan, np.nan, 0]), 'Order mismatch.')
self.assertTrue(self.fig is None)
def test_slide_example(self):
(inc_cost, inc_qaly, icer_out, order, icer_data,
self.fig) = dcs.icer(self.cost, self.qaly)
np.testing.assert_array_equal(inc_cost, self.inc_cost,
'Incremental cost mismatch.')
np.testing.assert_array_equal(inc_qaly, self.inc_qaly,
'Incremental QALY mismatch.')
np.testing.assert_array_equal(icer_out, self.icer_out,
'ICER mismatch.')
np.testing.assert_array_equal(order, self.order, 'Order mismatch.')
self.assertTrue(self.fig is None)
def test_plot1(self):
(inc_cost, inc_qaly, icer_out, order, icer_data,
self.fig) = dcs.icer(self.cost, self.qaly, make_plot=True)
np.testing.assert_array_equal(inc_cost, self.inc_cost,
'Incremental cost mismatch.')
np.testing.assert_array_equal(inc_qaly, self.inc_qaly,
'Incremental QALY mismatch.')
np.testing.assert_array_equal(icer_out, self.icer_out,
'ICER mismatch.')
np.testing.assert_array_equal(order, self.order, 'Order mismatch.')
self.assertTrue(isinstance(self.fig, plt.Figure))
def test_names(self):
(inc_cost, inc_qaly, icer_out, order, icer_data, self.fig) = dcs.icer(self.cost, self.qaly, \
names=['Name 1', 'Name 2', 'Another name', 'Final Name'])
np.testing.assert_array_equal(inc_cost, self.inc_cost,
'Incremental cost mismatch.')
np.testing.assert_array_equal(inc_qaly, self.inc_qaly,
'Incremental QALY mismatch.')
np.testing.assert_array_equal(icer_out, self.icer_out,
'ICER mismatch.')
np.testing.assert_array_equal(order, self.order, 'Order mismatch.')
self.assertTrue(self.fig is None)
def test_single_input(self):
ix = 0
(inc_cost, inc_qaly, icer_out, order, icer_data,
self.fig) = dcs.icer(self.cost[ix], self.qaly[ix])
np.testing.assert_array_equal(inc_cost, self.inc_cost[ix],
'Incremental cost mismatch.')
np.testing.assert_array_equal(inc_qaly, self.inc_qaly[ix],
'Incremental QALY mismatch.')
np.testing.assert_array_equal(icer_out, self.icer_out[ix],
'ICER mismatch.')
np.testing.assert_array_equal(order, self.order[ix], 'Order mismatch.')
self.assertTrue(self.fig is None)
def test_list_inputs(self):
cost = [this_cost for this_cost in self.cost]
qaly = [this_cost for this_cost in self.qaly]
(inc_cost, inc_qaly, icer_out, order, icer_data,
self.fig) = dcs.icer(cost, qaly)
np.testing.assert_array_equal(inc_cost, self.inc_cost,
'Incremental cost mismatch.')
np.testing.assert_array_equal(inc_qaly, self.inc_qaly,
'Incremental QALY mismatch.')
np.testing.assert_array_equal(icer_out, self.icer_out,
'ICER mismatch.')
np.testing.assert_array_equal(order, self.order, 'Order mismatch.')
self.assertTrue(self.fig is None)
def test_baseline1(self):
(inc_cost, inc_qaly, icer_out, order, icer_data, self.fig) = dcs.icer(self.cost, self.qaly, baseline=0)
temp = self.inc_cost
temp[0] = 0
np.testing.assert_array_equal(inc_cost, temp, 'Incremental cost mismatch.')
temp = self.inc_qaly
temp[0] = 0
np.testing.assert_array_equal(inc_qaly, temp, 'Incremental QALY mismatch.')
temp = self.icer_out
temp[0] = np.nan
np.testing.assert_array_equal(icer_out, temp, 'ICER mismatch.')
np.testing.assert_array_equal(order, self.order, 'Order mismatch.')
self.assertTrue(self.fig is None)
def test_all_dominated_by_last(self):
cost = np.array([10, 20, 30, 1])
qaly = np.array([1, 2, 3, 100])
(inc_cost, inc_qaly, icer_out, order, icer_data,
self.fig) = dcs.icer(cost, qaly)
np.testing.assert_array_equal(inc_cost, 1,
'Incremental cost mismatch.')
np.testing.assert_array_equal(inc_qaly, 100,
'Incremental QALY mismatch.')
np.testing.assert_array_equal(icer_out, 0.01, 'ICER mismatch.')
np.testing.assert_array_equal(order,
np.array([np.nan, np.nan, np.nan, 0]),
'Order mismatch.')
self.assertTrue(self.fig is None)
def test_baseline2(self):
# TODO: need to verify this case independently
(inc_cost, inc_qaly, icer_out, order, icer_data, self.fig) = dcs.icer(self.cost, self.qaly, baseline=1)
temp = self.inc_cost
temp[0] = -self.inc_cost[1]
np.testing.assert_array_equal(inc_cost, temp, 'Incremental cost mismatch.')
temp = self.inc_qaly
temp[0] = -self.inc_qaly[1]
np.testing.assert_array_equal(inc_qaly, temp, 'Incremental QALY mismatch.')
temp = self.icer_out
temp[0] = self.icer_out[1]
np.testing.assert_array_equal(icer_out, temp, 'ICER mismatch.')
np.testing.assert_array_equal(order, self.order, 'Order mismatch.')
self.assertTrue(self.fig is None)
def test_plot2(self):
opts = dcs.Opts()
(inc_cost, inc_qaly, icer_out, order, icer_data, self.fig) = dcs.icer(self.cost, self.qaly, \
make_plot=True, opts=opts, baseline=0)
temp = self.inc_cost
temp[0] = 0
np.testing.assert_array_equal(inc_cost, temp, 'Incremental cost mismatch.')
temp = self.inc_qaly
temp[0] = 0
np.testing.assert_array_equal(inc_qaly, temp, 'Incremental QALY mismatch.')
temp = self.icer_out
temp[0] = np.nan
np.testing.assert_array_equal(icer_out, temp, 'ICER mismatch.')
np.testing.assert_array_equal(order, self.order, 'Order mismatch.')
self.assertTrue(isinstance(self.fig, plt.Figure))
def test_baseline1(self):
(inc_cost, inc_qaly, icer_out, order, icer_data,
self.fig) = dcs.icer(self.cost, self.qaly, baseline=0)
temp = self.inc_cost
temp[0] = 0
np.testing.assert_array_equal(inc_cost, temp,
'Incremental cost mismatch.')
temp = self.inc_qaly
temp[0] = 0
np.testing.assert_array_equal(inc_qaly, temp,
'Incremental QALY mismatch.')
temp = self.icer_out
temp[0] = np.nan
np.testing.assert_array_equal(icer_out, temp, 'ICER mismatch.')
np.testing.assert_array_equal(order, self.order, 'Order mismatch.')
self.assertTrue(self.fig is None)
def test_plot2(self):
opts = dcs.Opts()
(inc_cost, inc_qaly, icer_out, order, icer_data, self.fig) = dcs.icer(self.cost, self.qaly, \
make_plot=True, opts=opts, baseline=0)
temp = self.inc_cost
temp[0] = 0
np.testing.assert_array_equal(inc_cost, temp,
'Incremental cost mismatch.')
temp = self.inc_qaly
temp[0] = 0
np.testing.assert_array_equal(inc_qaly, temp,
'Incremental QALY mismatch.')
temp = self.icer_out
temp[0] = np.nan
np.testing.assert_array_equal(icer_out, temp, 'ICER mismatch.')
np.testing.assert_array_equal(order, self.order, 'Order mismatch.')
self.assertTrue(isinstance(self.fig, plt.Figure))
def test_baseline2(self):
# TODO: need to verify this case independently
(inc_cost, inc_qaly, icer_out, order, icer_data,
self.fig) = dcs.icer(self.cost, self.qaly, baseline=1)
temp = self.inc_cost
temp[0] = -self.inc_cost[1]
np.testing.assert_array_equal(inc_cost, temp,
'Incremental cost mismatch.')
temp = self.inc_qaly
temp[0] = -self.inc_qaly[1]
np.testing.assert_array_equal(inc_qaly, temp,
'Incremental QALY mismatch.')
temp = self.icer_out
temp[0] = self.icer_out[1]
np.testing.assert_array_equal(icer_out, temp, 'ICER mismatch.')
np.testing.assert_array_equal(order, self.order, 'Order mismatch.')
self.assertTrue(self.fig is None)
def test_bad_input_sizes(self):
with self.assertRaises(AssertionError):
dcs.icer([], [])
with self.assertRaises(AssertionError):
dcs.icer([1, 2, 3], [4, 5])
def test_bad_values(self):
with self.assertRaises(AssertionError):
dcs.icer([1, -2, 3], [4, 5, 6])
with self.assertRaises(AssertionError):
dcs.icer([1, 2, 3], [4, -5, 6])
def test_bad_values(self):
with self.assertRaises(AssertionError):
dcs.icer([1, -2, 3], [4, 5, 6])
with self.assertRaises(AssertionError):
dcs.icer([1, 2, 3], [4, -5, 6])
def test_bad_input_sizes(self):
with self.assertRaises(AssertionError):
dcs.icer([], [])
with self.assertRaises(AssertionError):
dcs.icer([1, 2, 3], [4, 5])
