From 8df9d6fa7c94c5e6b130af89aa39e15b1f03e673 Mon Sep 17 00:00:00 2001 From: mbi6245 Date: Wed, 3 Jul 2024 11:29:25 -0700 Subject: [PATCH] change counts to default option and update testing/simulations accordingly --- simulations.ipynb | 320 ++++++++++++++++++++++++++++++--------- src/distrx/transforms.py | 108 +++---------- tests/test_transforms.py | 16 +- 3 files changed, 275 insertions(+), 169 deletions(-) diff --git a/simulations.ipynb b/simulations.ipynb index f0613e1..8e76acc 100644 --- a/simulations.ipynb +++ b/simulations.ipynb @@ -20,11 +20,10 @@ "from distrx.transforms import (\n", " delta_method,\n", " transform_data,\n", - " transform_percentage_change,\n", - " transform_percentage_change_counts1,\n", - " transform_percentage_change_counts2\n", + " transform_percentage_change_experiment,\n", + " transform_percentage_change\n", ")\n", - "NREP = 300\n", + "NREP = 1000\n", "Q = 1.96" ] }, @@ -75,11 +74,11 @@ "name": "stderr", "output_type": "stream", "text": [ - "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_19434/1300529156.py:15: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_11404/1300529156.py:15: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", " mu_txs[i], sigma_tx = transform_data([x_bar], [sigma_hat], \"log\", \"delta\")\n", - "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_19434/1300529156.py:16: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_11404/1300529156.py:16: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", " ci_uppers[i] = mu_txs[i] + Q * sigma_tx / np.sqrt(N)\n", - "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_19434/1300529156.py:17: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_11404/1300529156.py:17: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", " ci_lowers[i] = mu_txs[i] - Q * sigma_tx / np.sqrt(N)\n" ] }, @@ -87,12 +86,12 @@ "name": "stdout", "output_type": "stream", "text": [ - "CI coverage rate: 0.9466666666666667\n" + "CI coverage rate: 0.948\n" ] }, { "data": { - "image/png": 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", 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" ] @@ -158,15 +157,15 @@ "name": "stdout", "output_type": "stream", "text": [ - "True percentage change in proportions: 0.050000000000000044\n", - "10 replications of incidence counts in year 1: [398 403 399 407 424 389 378 406 397]\n" + "True percentage change in proportions: 9.333333333333336\n", + "10 replications of incidence counts in year 1: [34 33 37 30 28 34 22 21 40]\n" ] } ], "source": [ "# parameters for population sizes and prevalence\n", - "Y1_POP, Y1_PREV = 1000, 0.4\n", - "Y2_POP, Y2_PREV = 1050, (Y1_PREV + 0.02)\n", + "Y1_POP, Y1_PREV = 1000, 0.03\n", + "Y2_POP, Y2_PREV = Y1_POP + 3000, (Y1_PREV + 0.28)\n", "\n", "# simulate incidence from 2 years w/differing aforementioned parameters\n", "y1_incid = np.random.binomial(Y1_POP, Y1_PREV, size=NREP)\n", @@ -182,6 +181,13 @@ "print(\"10 replications of incidence counts in year 1: \", y1_incid[0:9])" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Coverage" + ] + }, { "cell_type": "code", "execution_count": 5, @@ -191,12 +197,24 @@ "name": "stdout", "output_type": "stream", "text": [ - "CI coverage rate: 0.9433333333333334\n" + "CI coverage rate: 0.949\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_11404/190171402.py:7: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + " mu_txs[i], sigma_hat = transform_percentage_change(y1_incid[i], Y1_POP, y2_incid[i], Y2_POP)\n", + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_11404/190171402.py:8: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + " ci_uppers[i] = mu_txs[i] + Q * sigma_hat\n", + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_11404/190171402.py:9: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + " ci_lowers[i] = mu_txs[i] - Q * sigma_hat\n" ] }, { "data": { - "image/png": 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", "text/plain": [ "
" ] @@ -207,26 +225,14 @@ ], "source": [ "# TODO: document coverage with graphs in the tails\n", - "coverages = np.zeros(NREP)\n", - "mu_txs = np.zeros(NREP)\n", - "ci_uppers = np.zeros(NREP)\n", - "ci_lowers = np.zeros(NREP)\n", - "y1_rep1 = y1_incid[0]\n", - "y2_rep1 = y2_incid[0]\n", + "coverages, mu_txs, ci_uppers, ci_lowers = np.zeros(NREP), np.zeros(NREP), np.zeros(NREP), np.zeros(NREP)\n", "\n", - "# print(transform_percentage_change_counts1(y1_rep1, Y1_POP, y2_rep1, Y2_POP))\n", + "# TODO: try to incorporate this into the testing suite\n", "# print(np.var(y1_incid, ddof=1))\n", - "# print(transform_percentage_change_counts2(y1_rep1, Y1_POP, y2_rep1, Y2_POP))\n", - "# raise KeyboardInterrupt\n", - "# TODO: ask Kelsey for function interface options\n", - "# TODO: get some slides together for high level issue and consequence descriptoin\n", "for i in range(NREP):\n", - " mu_txs[i], sigma_hat = transform_percentage_change_counts1(y1_incid[i], Y1_POP, y2_incid[i], Y2_POP)\n", - " # print(delta_hat, sigma_hat)\n", - " ci_uppers[i] = mu_txs[i] + Q * sigma_hat / np.sqrt(Y1_POP)\n", - " ci_lowers[i] = mu_txs[i] - Q * sigma_hat / np.sqrt(Y1_POP)\n", - " # ci_uppers[i] = mu_txs[i] + Q * sigma_hat\n", - " # ci_lowers[i] = mu_txs[i] - Q * sigma_hat\n", + " mu_txs[i], sigma_hat = transform_percentage_change(y1_incid[i], Y1_POP, y2_incid[i], Y2_POP)\n", + " ci_uppers[i] = mu_txs[i] + Q * sigma_hat\n", + " ci_lowers[i] = mu_txs[i] - Q * sigma_hat\n", " if (ci_lowers[i] < TRUE_DIFF and TRUE_DIFF < ci_uppers[i]):\n", " coverages[i] = 1\n", "\n", @@ -243,22 +249,41 @@ "It seems as though the CI length is wider than it should be at more extreme values of prevalence (i.e. those near 0 or 1). This is probably due to the fact that when computing the CI, the standard error was divided by the sample size of the first year. Unclear as to what it should be instead, any suggestions?" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Coverage over varying true prevalence" + ] + }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_11404/813324598.py:13: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + " mu_txs[i], sigma_hat = transform_percentage_change(y1_incid[i], Y1_POP, y2_incid[i], Y2_POP)\n", + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_11404/813324598.py:14: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + " ci_uppers[i] = mu_txs[i] + Q * sigma_hat\n", + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_11404/813324598.py:15: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + " ci_lowers[i] = mu_txs[i] - Q * sigma_hat\n" + ] + }, { "name": "stdout", "output_type": "stream", "text": [ "[0.01 0.06 0.11 0.16 0.21 0.26 0.31 0.36 0.41 0.46 0.51 0.56 0.61 0.66\n", - " 0.71 0.76 0.81 0.86 0.91 0.96] [0.9466666666666667, 0.9466666666666667, 0.94, 0.9766666666666667, 0.9633333333333334, 0.96, 0.9466666666666667, 0.94, 0.95, 0.9466666666666667, 0.9766666666666667, 0.97, 0.9533333333333334, 0.9533333333333334, 0.9433333333333334, 0.9333333333333333, 0.9433333333333334, 0.95, 0.9466666666666667, 0.94]\n" + " 0.71 0.76 0.81 0.86 0.91 0.96] [0.924, 0.942, 0.952, 0.946, 0.946, 0.955, 0.949, 0.953, 0.952, 0.955, 0.949, 0.945, 0.935, 0.944, 0.949, 0.956, 0.949, 0.949, 0.949, 0.954]\n" ] }, { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -270,36 +295,38 @@ "source": [ "y1_prevalences = np.arange(0.01, 1, 0.05)\n", "all_coverages = []\n", + "\n", "for y1_prev in y1_prevalences:\n", - " coverages = np.zeros(NREP)\n", - " mu_txs = np.zeros(NREP)\n", - " ci_uppers = np.zeros(NREP)\n", - " ci_lowers = np.zeros(NREP)\n", + " coverages, mu_txs, ci_uppers, ci_lowers = np.zeros(NREP), np.zeros(NREP), np.zeros(NREP), np.zeros(NREP)\n", " Y1_POP, Y1_PREV = 1000, y1_prev\n", - " Y2_POP, Y2_PREV = 1050, (Y1_PREV + 0.02)\n", + " Y2_POP, Y2_PREV = 1000, (Y1_PREV + 0.02)\n", " TRUE_DIFF = (Y2_PREV / Y1_PREV) - 1\n", "\n", - " # simulate incidence from 2 years w/differing aforementioned parameters\n", " y1_incid = np.random.binomial(Y1_POP, Y1_PREV, size=NREP)\n", " y2_incid = np.random.binomial(Y2_POP, Y2_PREV, size=NREP)\n", " for i in range(NREP):\n", - " mu_txs[i], sigma_hat = transform_percentage_change_counts1(y1_incid[i], Y1_POP, y2_incid[i], Y2_POP)\n", - " # print(delta_hat, sigma_hat)\n", - " ci_uppers[i] = mu_txs[i] + Q * sigma_hat / np.sqrt(Y1_POP)\n", - " ci_lowers[i] = mu_txs[i] - Q * sigma_hat / np.sqrt(Y1_POP)\n", - " # ci_uppers[i] = mu_txs[i] + Q * sigma_hat\n", - " # ci_lowers[i] = mu_txs[i] - Q * sigma_hat\n", + " mu_txs[i], sigma_hat = transform_percentage_change(y1_incid[i], Y1_POP, y2_incid[i], Y2_POP)\n", + " ci_uppers[i] = mu_txs[i] + Q * sigma_hat\n", + " ci_lowers[i] = mu_txs[i] - Q * sigma_hat\n", " if (ci_lowers[i] < TRUE_DIFF and TRUE_DIFF < ci_uppers[i]):\n", " coverages[i] = 1\n", " all_coverages.append((coverages == 1).sum() / NREP)\n", + "\n", "print(y1_prevalences, all_coverages)\n", - "plt.xlabel(\"y1 prevalence\")\n", + "plt.xlabel(\"prevalence in group X\")\n", "plt.ylabel(\"coverage percentage\")\n", - "plt.title(\"coverage vs y1 prevalence\")\n", + "plt.title(\"coverage vs prevalence in group X\")\n", "plt.scatter(y1_prevalences, all_coverages)\n", "plt.show()" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Coverage over varying true delta" + ] + }, { "cell_type": "code", "execution_count": 7, @@ -309,12 +336,31 @@ "name": "stdout", "output_type": "stream", "text": [ - "[0. 1. 2. 3. 4. 5. 6. 7. 8.] [0.96, 0.9366666666666666, 0.9666666666666667, 0.94, 0.93, 0.9433333333333334, 0.9166666666666666, 0.96, 0.9533333333333334]\n" + "[-0.09 0.01 0.11 0.21 0.31 0.41 0.51 0.61 0.71 0.81]\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_11404/3508961853.py:14: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + " mu_txs[i], sigma_hat = transform_percentage_change(y1_incid[i], Y1_POP, y2_incid[i], Y2_POP)\n", + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_11404/3508961853.py:15: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + " ci_uppers[i] = mu_txs[i] + Q * sigma_hat\n", + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_11404/3508961853.py:16: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + " ci_lowers[i] = mu_txs[i] - Q * sigma_hat\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[-0.9 0.1 1.1 2.1 3.1 4.1 5.1 6.1 7.1 8.1] [0.921, 0.945, 0.949, 0.953, 0.95, 0.941, 0.955, 0.946, 0.949, 0.951]\n" ] }, { "data": { - "image/png": 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", + "image/png": 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", "text/plain": [ "
" ] @@ -324,66 +370,190 @@ } ], "source": [ - "y2_prevalence_incs = np.arange(0, 0.9, 0.1)\n", - "# print(y2_prevalence_incs)\n", + "y2_prevalence_incs = np.arange(-0.09, 0.9, 0.1)\n", + "print(y2_prevalence_incs)\n", "all_coverages = []\n", + "\n", "for y2_prev_inc in y2_prevalence_incs:\n", - " coverages = np.zeros(NREP)\n", - " mu_txs = np.zeros(NREP)\n", - " ci_uppers = np.zeros(NREP)\n", - " ci_lowers = np.zeros(NREP)\n", + " coverages, mu_txs, ci_uppers, ci_lowers = np.zeros(NREP), np.zeros(NREP), np.zeros(NREP), np.zeros(NREP)\n", " Y1_POP, Y1_PREV = 1000, 0.1\n", - " Y2_POP, Y2_PREV = 1050, (Y1_PREV + y2_prev_inc)\n", + " Y2_POP, Y2_PREV = 1000, (Y1_PREV + y2_prev_inc)\n", " TRUE_DIFF = (Y2_PREV / Y1_PREV) - 1\n", "\n", - " # simulate incidence from 2 years w/differing aforementioned parameters\n", " y1_incid = np.random.binomial(Y1_POP, Y1_PREV, size=NREP)\n", " y2_incid = np.random.binomial(Y2_POP, Y2_PREV, size=NREP)\n", " for i in range(NREP):\n", - " mu_txs[i], sigma_hat = transform_percentage_change_counts1(y1_incid[i], Y1_POP, y2_incid[i], Y2_POP)\n", - " # print(delta_hat, sigma_hat)\n", - " ci_uppers[i] = mu_txs[i] + Q * sigma_hat / np.sqrt(Y1_POP)\n", - " ci_lowers[i] = mu_txs[i] - Q * sigma_hat / np.sqrt(Y1_POP)\n", - " # ci_uppers[i] = mu_txs[i] + Q * sigma_hat\n", - " # ci_lowers[i] = mu_txs[i] - Q * sigma_hat\n", + " mu_txs[i], sigma_hat = transform_percentage_change(y1_incid[i], Y1_POP, y2_incid[i], Y2_POP)\n", + " ci_uppers[i] = mu_txs[i] + Q * sigma_hat\n", + " ci_lowers[i] = mu_txs[i] - Q * sigma_hat\n", " if (ci_lowers[i] < TRUE_DIFF and TRUE_DIFF < ci_uppers[i]):\n", " coverages[i] = 1\n", " all_coverages.append((coverages == 1).sum() / NREP)\n", - "print(((y2_prevalence_incs + 0.1) / 0.1) - 1, all_coverages)\n", + "\n", + "print(((0.1 + y2_prevalence_incs) / 0.1) - 1, all_coverages)\n", "plt.xlabel(\"true delta\")\n", "plt.ylabel(\"coverage percentage\")\n", "plt.title(\"coverage vs true delta\")\n", - "plt.scatter(((y2_prevalence_incs + 0.1) / 0.1) - 1, all_coverages)\n", + "plt.scatter(((0.1 + y2_prevalence_incs) / 0.1) - 1, all_coverages)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Coverage over varying difference in sample size" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_11404/3515000061.py:15: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + " mu_txs[i], sigma_hat = transform_percentage_change(y1_incid[i], Y1_POP, y2_incid[i], Y2_POP)\n", + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_11404/3515000061.py:16: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + " ci_uppers[i] = mu_txs[i] + Q * sigma_hat\n", + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_11404/3515000061.py:17: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + " ci_lowers[i] = mu_txs[i] - Q * sigma_hat\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[0.948, 0.956, 0.938, 0.944, 0.946, 0.946, 0.95, 0.956, 0.957, 0.954, 0.94, 0.949, 0.956, 0.966, 0.955, 0.952, 0.943, 0.952, 0.95, 0.953, 0.962]\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# perhaps plot on a log scale?\n", + "# is it better to scale by the larger population?\n", + "y2_population_incs = np.arange(-500, 10000, 500)\n", + "all_coverages = []\n", + "\n", + "for y2_pop_inc in y2_population_incs:\n", + " coverages, mu_txs, ci_uppers, ci_lowers = np.zeros(NREP), np.zeros(NREP), np.zeros(NREP), np.zeros(NREP)\n", + " Y1_POP, Y1_PREV = 1000, 0.1\n", + " Y2_POP, Y2_PREV = Y1_POP + y2_pop_inc, 0.3\n", + " TRUE_DIFF = (Y2_PREV / Y1_PREV) - 1\n", + "\n", + " y1_incid = np.random.binomial(Y1_POP, Y1_PREV, size=NREP)\n", + " y2_incid = np.random.binomial(Y2_POP, Y2_PREV, size=NREP)\n", + " for i in range(NREP):\n", + " mu_txs[i], sigma_hat = transform_percentage_change(y1_incid[i], Y1_POP, y2_incid[i], Y2_POP)\n", + " ci_uppers[i] = mu_txs[i] + Q * sigma_hat\n", + " ci_lowers[i] = mu_txs[i] - Q * sigma_hat\n", + " if (ci_lowers[i] < TRUE_DIFF and TRUE_DIFF < ci_uppers[i]):\n", + " coverages[i] = 1\n", + " all_coverages.append((coverages == 1).sum() / NREP)\n", + "\n", + "print(all_coverages)\n", + "plt.xlabel(\"group Y population increase\")\n", + "plt.ylabel(\"coverage percentage\")\n", + "plt.title(\"coverage vs group Y population increase\")\n", + "plt.scatter(y2_population_incs, all_coverages)\n", "plt.show()" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Verifying scale invariance\n", + "what does scale invariance mean?" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "# const = 3\n", + "# y1_incid = y1_incid\n", + "# y2_incid = y2_incid\n", + "\n", + "# # TRUE_DIFF = (Y2_PREV / Y1_PREV) - 1\n", + "\n", + "# coverages, mu_txs, ci_uppers, ci_lowers = np.zeros(NREP), np.zeros(NREP), np.zeros(NREP), np.zeros(NREP)\n", + "\n", + "# for i in range(NREP):\n", + "# mu_txs[i], sigma_hat = transform_percentage_change_counts1(y1_incid[i], Y1_POP, y2_incid[i], Y2_POP)\n", + "# ci_uppers[i] = mu_txs[i] + Q * sigma_hat / np.sqrt(Y1_POP)\n", + "# ci_lowers[i] = mu_txs[i] - Q * sigma_hat / np.sqrt(Y1_POP)\n", + "# if (ci_lowers[i] < TRUE_DIFF and TRUE_DIFF < ci_uppers[i]):\n", + "# coverages[i] = 1\n", + "\n", + "# coverage_pct = (coverages == 1).sum() / NREP\n", + "# print(\"CI coverage rate: \", coverage_pct)\n", + "\n", + "# plot_simulation(coverages, mu_txs, ci_lowers, ci_uppers, TRUE_DIFF, \"percent change transform\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Delta's distribution" + ] + }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 15, "metadata": {}, "outputs": [ { "ename": "TypeError", - "evalue": "unsupported operand type(s) for /: 'list' and 'int'", + "evalue": "can only concatenate str (not \"float\") to str", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[10], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[43mtransform_percentage_change_counts1\u001b[49m\u001b[43m(\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m100\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m1000\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m200\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m1050\u001b[39;49m\u001b[43m)\u001b[49m)\n\u001b[1;32m 2\u001b[0m \u001b[38;5;28mprint\u001b[39m(transform_percentage_change_counts1(\u001b[38;5;241m300\u001b[39m, \u001b[38;5;241m1000\u001b[39m, \u001b[38;5;241m400\u001b[39m, \u001b[38;5;241m1050\u001b[39m))\n\u001b[1;32m 3\u001b[0m \u001b[38;5;28mprint\u001b[39m(transform_percentage_change_counts1(np\u001b[38;5;241m.\u001b[39marray([\u001b[38;5;241m100\u001b[39m, \u001b[38;5;241m300\u001b[39m]), np\u001b[38;5;241m.\u001b[39marray([\u001b[38;5;241m1000\u001b[39m, \u001b[38;5;241m1000\u001b[39m]), np\u001b[38;5;241m.\u001b[39marray([\u001b[38;5;241m200\u001b[39m, \u001b[38;5;241m400\u001b[39m]), np\u001b[38;5;241m.\u001b[39marray([\u001b[38;5;241m1050\u001b[39m, \u001b[38;5;241m1050\u001b[39m])))\n", - "File \u001b[0;32m~/Documents/UW Grad/IHME/MSCA/distrx/src/distrx/transforms.py:325\u001b[0m, in \u001b[0;36mtransform_percentage_change_counts1\u001b[0;34m(c_x, n_x, c_y, n_y)\u001b[0m\n\u001b[1;32m 305\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"alternative percentage change transformation with only counts provided\u001b[39;00m\n\u001b[1;32m 306\u001b[0m \n\u001b[1;32m 307\u001b[0m \u001b[38;5;124;03mParameters\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 321\u001b[0m \u001b[38;5;124;03m standard errors in the transform space\u001b[39;00m\n\u001b[1;32m 322\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 324\u001b[0m mu_x \u001b[38;5;241m=\u001b[39m c_x \u001b[38;5;241m/\u001b[39m n_x\n\u001b[0;32m--> 325\u001b[0m mu_y \u001b[38;5;241m=\u001b[39m \u001b[43mc_y\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m/\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mn_y\u001b[49m\n\u001b[1;32m 326\u001b[0m \u001b[38;5;66;03m# typical sample var calc\u001b[39;00m\n\u001b[1;32m 327\u001b[0m sigma2_x \u001b[38;5;241m=\u001b[39m (c_x \u001b[38;5;241m*\u001b[39m (\u001b[38;5;241m1\u001b[39m \u001b[38;5;241m-\u001b[39m mu_x) \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m \u001b[38;5;241m2\u001b[39m \u001b[38;5;241m+\u001b[39m (n_x \u001b[38;5;241m-\u001b[39m c_x) \u001b[38;5;241m*\u001b[39m mu_x\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m2\u001b[39m) \u001b[38;5;241m/\u001b[39m (n_x \u001b[38;5;241m-\u001b[39m \u001b[38;5;241m1\u001b[39m)\n", - "\u001b[0;31mTypeError\u001b[0m: unsupported operand type(s) for /: 'list' and 'int'" + "Cell \u001b[0;32mIn[15], line 8\u001b[0m\n\u001b[1;32m 6\u001b[0m plt\u001b[38;5;241m.\u001b[39mxlabel(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdelta_hat - delta\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 7\u001b[0m plt\u001b[38;5;241m.\u001b[39mylabel(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcount\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m----> 8\u001b[0m plt\u001b[38;5;241m.\u001b[39mtitle(\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mhistogram of centered delta_hat statistic, prevalences: (\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;241;43m+\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mY1_PREV\u001b[49m \u001b[38;5;241m+\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m, \u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m+\u001b[39m Y2_PREV \u001b[38;5;241m+\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m)\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 9\u001b[0m plt\u001b[38;5;241m.\u001b[39mshow()\n", + "\u001b[0;31mTypeError\u001b[0m: can only concatenate str (not \"float\") to str" ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" } ], "source": [ - "print(transform_percentage_change_counts1([100], 1000, 200, 1050))\n", - "print(transform_percentage_change_counts1(300, 1000, 400, 1050))\n", - "print(transform_percentage_change_counts1(np.array([100, 300]), np.array([1000, 1000]), np.array([200, 400]), np.array([1050, 1050])))" + "# maybe it's more interesting to plot the distribution of delta_hat - delta since that's what is normal by delta method/CLT\n", + "TRUE_DIFF = (Y2_PREV / Y1_PREV) - 1\n", + "y1_prevs = y1_incid / Y1_POP\n", + "y2_prevs = y2_incid / Y2_POP\n", + "plt.hist(((y2_prevs / y1_prevs) - 1) - TRUE_DIFF, bins=10, edgecolor=\"black\")\n", + "plt.xlabel(\"delta_hat - delta\")\n", + "plt.ylabel(\"count\")\n", + "plt.title(\"histogram of centered delta_hat statistic, prevalences: (\" + str(Y1_PREV) + \", \" + str(Y2_PREV) + \")\")\n", + "plt.show()" ] }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 11, "metadata": {}, "outputs": [ { diff --git a/src/distrx/transforms.py b/src/distrx/transforms.py index 1d69f83..f831114 100644 --- a/src/distrx/transforms.py +++ b/src/distrx/transforms.py @@ -243,10 +243,10 @@ def delta_method( return transformer.get_mu_trans(), transformer.get_sigma_trans() -def transform_percentage_change( +def transform_percentage_change_experiment( x_vec: npt.ArrayLike, y_vec: npt.ArrayLike ) -> Tuple[float, float]: - """bias corrected percentage change with transformed standard error + """percentage change with transformed standard error Parameters ---------- @@ -278,7 +278,6 @@ def transform_percentage_change( sigma_xy = cov[0, 1] delta_hat = (mu_y - mu_x) / mu_x - # TODO: add option instead of doing this by default bias_corr = (mu_y * sigma2_x) / ((n * mu_x) ** 2) p_hat = delta_hat + bias_corr @@ -295,104 +294,43 @@ def handle_input_pct(c_x, n_x, c_y, n_y): return np.array([c_x]), np.array([n_x]), np.array([c_y]), np.array([n_y]) -def transform_percentage_change_counts1( - c_x: np.ndarray, - n_x: np.ndarray, - c_y: np.ndarray, - n_y: np.ndarray, +def transform_percentage_change( + c_x: npt.ArrayLike, + n_x: npt.ArrayLike, + c_y: npt.ArrayLike, + n_y: npt.ArrayLike, ) -> float: - """alternative percentage change transformation with only counts provided + """percentage change variance transformation for incidence data Parameters ---------- - c_x : int - raw count in one sample (e.g. of incidence) - n_x : int - sample size - c_y : int - raw count in second sample (e.g. of incidence) - n_y : int - sample size + c_x : npt.ArrayLike + incidence counts in first sample + n_x : npt.ArrayLike + sample size(s) of first sample + c_y : npt.ArrayLike + incidence counts in second sample + n_y : npt.ArrayLike + sample size(s) of second sample Returns ------- - sigma_trans: array_like - standard errors in the transform space + (delta_hat, sigma_tx) + sample percentage change of prevalence and corresponding transformed standard error """ c_x, n_x, c_y, n_y = handle_input_pct(c_x, n_x, c_y, n_y) mu_x = c_x / n_x mu_y = c_y / n_y - # typical sample var calc sigma2_x = (c_x * (1 - mu_x) ** 2 + (n_x - c_x) * mu_x**2) / (n_x - 1) sigma2_y = (c_y * (1 - mu_y) ** 2 + (n_y - c_y) * mu_y**2) / (n_y - 1) - # var for p assuming binomial model - # sigma2_x = mu_x * (1 - mu_x) / n_x - # sigma2_y = mu_y * (1 - mu_y) / n_y - - # var for p assuming beta prior - # sigma2_x = ( - # (mu_x * c_x + 1) * (c_x - mu_x * c_x + 1) / ((c_x + 2) ** 2 * (c_x + 3)) - # ) - # sigma2_y = ( - # (mu_y * c_y + 1) * (c_y - mu_y * c_y + 1) / ((c_y + 2) ** 2 * (c_y + 3)) - # ) - - sigma_trans = (sigma2_y / mu_x**2) + (mu_y**2 * sigma2_x / (mu_x**4)) - # sigma_trans = (sigma2_y / c_x**2) + (c_y**2 * sigma2_x / (c_x**4)) - # print(sigma2_x, sigma2_y) - - return ((mu_y / mu_x) - 1), np.sqrt(sigma_trans) - - -def transform_percentage_change_counts2( - c_x: int, n_x: int, c_y: int, n_y: int -) -> float: - """alternative percentage change transformation with only counts provided - - Parameters - ---------- - c_x : int - raw count in one sample (e.g. of incidence) - n_x : int - sample size - c_y : int - raw count in second sample (e.g. of incidence) - n_y : int - sample size + # ruff makes this really ugly for some reason + sigma2_tx = (sigma2_y / (n_y * mu_x**2)) + ( + mu_y**2 * sigma2_x / (n_x * mu_x**4) + ) - Returns - ------- - sigma_trans: array_like - standard errors in the transform space - """ - mu_x = c_x / n_x - mu_y = c_y / n_y - rat = mu_y / (mu_x + mu_y) - Rl = np.log(rat / (1 - rat)) - # variance of p assuming binomial model, somewhat reasonable coverage w/o scaling CI - sigma2_x = mu_x * (1 - mu_x) / n_x - sigma2_y = mu_y * (1 - mu_y) / n_y - - # standard sample var calculation, extreme overcoverage - # sigma2_x = (c_x * (1 - mu_x) ** 2 + (n_x - c_x) * mu_x**2) / (n_x - 1) - # sigma2_y = (c_y * (1 - mu_y) ** 2 + (n_y - c_y) * mu_y**2) / (n_y - 1) - - # assumed beta prior sample var calculation, extreme overcoverage - # sigma2_x = ( - # (mu_x * c_x + 1) * (c_x - mu_x * c_x + 1) / ((c_x + 2) ** 2 * (c_x + 3)) - # ) - # sigma2_y = ( - # (mu_y * c_y + 1) * (c_y - mu_y * c_y + 1) / ((c_y + 2) ** 2 * (c_y + 3)) - # ) - - # sigma_trans = (sigma2_y / mu_x**2) + (mu_y**2 * sigma2_x / (mu_x**4)) - # sigma_trans = (sigma2_y / c_x**2) + (c_y**2 * sigma2_x / (c_x**4)) - sigma2_Rl = (sigma2_x / (mu_x**2)) + (sigma2_y / (mu_y**2)) - sigma_tx = sigma2_Rl * np.exp(2 * Rl) - - return ((mu_y / mu_x) - 1), np.sqrt(sigma_tx) + return ((mu_y / mu_x) - 1), np.sqrt(sigma2_tx) def _check_input( diff --git a/tests/test_transforms.py b/tests/test_transforms.py index 2de2e86..97ad940 100644 --- a/tests/test_transforms.py +++ b/tests/test_transforms.py @@ -8,7 +8,7 @@ delta_method, transform_data, transform_percentage_change, - transform_percentage_change_counts1, + transform_percentage_change_experiment, ) TRANSFORM_DICT = { @@ -98,17 +98,17 @@ def test_percentage_change(): x = np.random.normal(1, 0.1, 1000) y = np.random.normal(1.1, 0.1, 1000) z = np.random.normal(1, 0.1, 1001) - p, sigma = transform_percentage_change(x, y) + p, sigma = transform_percentage_change_experiment(x, y) assert 0 < p and p < 1 assert 0 < sigma and sigma < 1 with pytest.raises(ValueError): - transform_percentage_change(x, z) + transform_percentage_change_experiment(x, z) def test_percentage_change_counts(): x = np.random.choice([0, 1], size=1000, p=[0.1, 0.9]) y = np.random.choice([0, 1], size=1100, p=[0.2, 0.8]) - mu, sigma = transform_percentage_change_counts1( + mu, sigma = transform_percentage_change( (x == 1).sum(), len(x), (y == 1).sum(), len(y) ) assert -1 <= mu and mu < np.inf @@ -120,7 +120,7 @@ def test_percentage_change_input(): c_x, n_x = 100, 1000 c_y, n_y = 200, 1050 # with pytest.raises(TypeError): - transform_percentage_change_counts1(c_x, n_x, c_y, n_y) + transform_percentage_change(c_x, n_x, c_y, n_y) # base list input c_x = [100, 200] @@ -128,11 +128,9 @@ def test_percentage_change_input(): c_y = [300, 400] n_y = [1050, 1050] # with pytest.raises(TypeError): - transform_percentage_change_counts1(c_x, n_x, c_y, n_y) + transform_percentage_change(c_x, n_x, c_y, n_y) # dataframe input df = pd.DataFrame({"c_x": c_x, "n_x": n_x, "c_y": c_y, "n_y": n_y}) # with pytest.raises(TypeError): - transform_percentage_change_counts1( - df["c_x"], df["n_x"], df["c_y"], df["n_y"] - ) + transform_percentage_change(df["c_x"], df["n_x"], df["c_y"], df["n_y"])