{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"# Imports\n",
"import urllib\n",
"import zipfile\n",
"\n",
"import matplotlib.patches as mpatches\n",
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"import pandas as pd\n",
"import pingouin as pg\n",
"import scipy.stats as stats\n",
"import seaborn as sns\n",
"from IPython.display import HTML, display\n",
"\n",
"\n",
"# Functions to remove outliers in discrete cell designs\n",
"def remove_outliers(x, cutoff_type=\"IQR\", cutoff_thresh=2):\n",
" \"\"\"\n",
" Exclude outliers from a vector.\n",
" \"\"\"\n",
" x = x.copy()\n",
" if cutoff_type == \"IQR\":\n",
" iqr = stats.iqr(x)\n",
" low = np.percentile(x, 25) - cutoff_thresh * iqr\n",
" high = np.percentile(x, 75) + cutoff_thresh * iqr\n",
" return x[(x >= low) & (x <= high)]\n",
" elif cutoff_type == \"z-score\":\n",
" sd = np.std(x)\n",
" low = np.mean(x) - cutoff_thresh * sd\n",
" high = np.mean(x) + cutoff_thresh * sd\n",
" return x[(x >= low) & (x <= high)]\n",
" elif cutoff_type == \"MAD\":\n",
" mad = stats.median_abs_deviation(x, scale=\"normal\")\n",
" med = np.median(x)\n",
" low = med - cutoff_thresh * mad\n",
" high = med + cutoff_thresh * mad\n",
" return x[(x >= low) & (x <= high)]\n",
" elif cutoff_type == \"WINS\":\n",
" sd = np.std(x)\n",
" low = np.mean(x) - cutoff_thresh * sd\n",
" high = np.mean(x) + cutoff_thresh * sd\n",
" x[x <= low] = low\n",
" x[x >= high] = high\n",
" return x\n",
" else:\n",
" raise ValueError(\n",
" f\"Cutoff type {cutoff_type} not understood. Must be 'IQR' or 'SD'\"\n",
" )\n",
"\n",
"\n",
"def remove_outliers_common(x, y, cutoff_type=\"IQR\", cutoff_thresh=2):\n",
" \"\"\"\n",
" Exclude outliers from two vectors, using the same cutoff for both.\n",
" \"\"\"\n",
" xy = np.concatenate([x, y])\n",
" x = x.copy()\n",
" y = y.copy()\n",
" if cutoff_type == \"IQR\":\n",
" iqr = stats.iqr(xy)\n",
" low = np.percentile(xy, 25) - cutoff_thresh * iqr\n",
" high = np.percentile(xy, 75) + cutoff_thresh * iqr\n",
" return (\n",
" x[(x >= low) & (x <= high)],\n",
" y[(y >= low) & (y <= high)],\n",
" )\n",
"\n",
" elif cutoff_type == \"z-score\":\n",
" sd = np.std(xy)\n",
" low = np.mean(xy) - cutoff_thresh * sd\n",
" high = np.mean(xy) + cutoff_thresh * sd\n",
" return (\n",
" x[(x >= low) & (x <= high)],\n",
" y[(y >= low) & (y <= high)],\n",
" )\n",
"\n",
" elif cutoff_type == \"MAD\":\n",
" mad = stats.median_abs_deviation(x, scale=\"normal\")\n",
" med = np.median(x)\n",
" low = med - cutoff_thresh * mad\n",
" high = med + cutoff_thresh * mad\n",
" return (\n",
" x[(x >= low) & (x <= high)],\n",
" y[(y >= low) & (y <= high)],\n",
" )\n",
"\n",
" elif cutoff_type == \"WINS\":\n",
" sd = np.std(xy)\n",
" low = np.mean(xy) - cutoff_thresh * sd\n",
" high = np.mean(xy) + cutoff_thresh * sd\n",
" x[x <= low] = low\n",
" x[x >= high] = high\n",
" y[y <= low] = low\n",
" y[y >= high] = high\n",
" return x, y\n",
" else:\n",
" raise ValueError(\n",
" f\"Cutoff type {cutoff_type} not understood. Must be 'IQR' or 'SD'\"\n",
" )\n",
"\n",
"\n",
"def flag_outliers_iqr(x, cutoff_thresh=3):\n",
" \"\"\"\n",
" Flag the outliers using the IQR method.\n",
" \"\"\"\n",
" iqr = stats.iqr(x)\n",
" low = np.percentile(x, 25) - cutoff_thresh * iqr\n",
" high = np.percentile(x, 75) + cutoff_thresh * iqr\n",
" return np.array((x <= low) | (x >= high))\n",
"\n",
"\n",
"def remove_outliers_iter(x, cutoff_type=\"IQR\", cutoff_thresh=2):\n",
" \"\"\"\n",
" Iteratively exclude outliers from two vectors until none are found.\n",
" \"\"\"\n",
" x = x.copy()\n",
" if cutoff_type != \"WINS\":\n",
" x_before = x\n",
" while True:\n",
" x_after = remove_outliers(x_before, cutoff_type, cutoff_thresh)\n",
" if x_before.shape[0] == x_after.shape[0]:\n",
" return x_after\n",
" else:\n",
" x_before = x_after\n",
" else:\n",
" x_before = x\n",
" while True:\n",
" x_after = remove_outliers(x_before, cutoff_type, cutoff_thresh)\n",
" if (x_before == x_after).mean() == 1:\n",
" return x_after\n",
" else:\n",
" x_before = x_after\n",
"\n",
"\n",
"def compare_tstats_under_exclusions(x, y, cutoff_type=\"IQR\", cutoff_thresh=2):\n",
" \"\"\"\n",
" Compare two vectors of data and return the t-stats when (1) Outliers\n",
" are excluded based on a common cutoff or (2) Outliers are excluded using\n",
" a condition-specific cutoff\n",
" \"\"\"\n",
" x_common, y_common = remove_outliers_common(x, y, cutoff_type, cutoff_thresh)\n",
" diff_common = stats.ttest_ind(x_common, y_common).statistic\n",
"\n",
" x_diff = remove_outliers(x, cutoff_type, cutoff_thresh)\n",
" y_diff = remove_outliers(y, cutoff_type, cutoff_thresh)\n",
" diff_diff = stats.ttest_ind(x_diff, y_diff).statistic\n",
" return [diff_common, diff_diff]\n",
"\n",
"\n",
"# Plotting functions\n",
"def hist_no_edge(x, *args, **kwargs):\n",
" \"\"\"\n",
" Plot a histogram without the left and right edges. Useful for survival curves.\n",
" \"\"\"\n",
" bins = kwargs.pop(\"bins\")\n",
" cumulative = kwargs.pop(\"cumulative\", False)\n",
" # Add a bin for all p-values between the upper bin and 1.\n",
" cnt, edges = np.histogram(x, bins=bins.tolist() + [1])\n",
" ax = plt.gca()\n",
" if cumulative:\n",
" prop = cnt.cumsum() / cnt.sum()\n",
" ax.step(edges[:-2], prop[:-1], *args, **kwargs)\n",
" else:\n",
" ax.step(edges[:-2], cnt, *args, **kwargs)\n",
"\n",
"\n",
"def plot_simulation_results(data, include_iterated=True):\n",
" \"\"\"\n",
" Plot the survival curve of all the simulations. \n",
" \"\"\"\n",
" gb = data.groupby([\"Threshold\", \"Method\", \"Level\"]) # Data by group.\n",
"\n",
" # Type I error at various alpha levels\n",
" p_05 = gb[\"$\\\\alpha_{{05}}$\"].mean()\n",
" p_01 = gb[\"$\\\\alpha_{{01}}$\"].mean()\n",
" p_001 = gb[\"$\\\\alpha_{{001}}$\"].mean()\n",
"\n",
" # Labels for lines and panels\n",
" thresholds = [1.5, 2.0, 3.0]\n",
" methods = [\"IQR Distance\", \"z-score\", \"MAD\"]\n",
" if include_iterated:\n",
" levels = [\"None\", \"Across\", \"Within\", \"Within, Iterated\"]\n",
" labels = [\"None\", \"Across\", \"Within\", \"Within, Iter.\"]\n",
" maxcoord = 4\n",
" else:\n",
" levels = [\"None\", \"Across\", \"Within\"]\n",
" labels = [\"None\", \"Across\", \"Within\"]\n",
" data = data.query(\"Level != 'Within, Iterated'\")\n",
" maxcoord = 3\n",
"\n",
" ycoords = 0.65 + np.arange(0, 1, 0.06) # Coordinates to plot legend\n",
"\n",
" pal = sns.color_palette()[0:4] # Colors\n",
"\n",
" # Initialize the plot\n",
" g = sns.FacetGrid(\n",
" data,\n",
" col=\"Threshold\",\n",
" row=\"Method\",\n",
" hue=\"Level\",\n",
" hue_order=levels,\n",
" col_order=thresholds,\n",
" row_order=methods,\n",
" height=3.4,\n",
" aspect=1.2,\n",
" sharey=True,\n",
" sharex=True,\n",
" hue_kws=dict(ls=[(0, ()), (1, (5, 5)), (0, ()), (1, ())]),\n",
" )\n",
"\n",
" # Map the survival curve to each panel and color\n",
" g.map(\n",
" hist_no_edge,\n",
" \"pvalue\",\n",
" cumulative=True,\n",
" bins=np.logspace(np.log10(10e-40), np.log10(0.05), 10000),\n",
" lw=1.5,\n",
" )\n",
"\n",
" # Change the axes labels\n",
" g.set_ylabels(\"Fraction of Sig. Tests ($p < \\\\alpha$)\")\n",
" g.set_xlabels(\"Sig. Threshold ($\\\\alpha$)\")\n",
" g.set_titles(\"Cutoff: {col_name} * {row_name}\")\n",
"\n",
" # Adjust the axes and ticks\n",
" for i, (axe, meth) in enumerate(zip(g.axes, methods)):\n",
" for j, (ax, thresh) in enumerate(zip(axe, thresholds)):\n",
" ax.set_xlim(10e-8, 0.05)\n",
" ax.set_xscale(\"log\")\n",
" ax.set_xticks([10e-8, 10e-7, 10e-6, 10e-5, 10e-4, 10e-3, 0.05])\n",
" ax.set_xticklabels(\n",
" [\"10e-8\", \"10e-7\", \".00001\", \".0001\", \".001\", \".01\", \".05\"]\n",
" )\n",
" ax.set_xticks([], minor=True)\n",
" ax.invert_xaxis()\n",
" ax.annotate(\n",
" f\"Type I Error Rate at $[\\\\alpha_{{05}}, \\\\alpha_{{01}}, \\\\alpha_{{001}}]$\",\n",
" (1, ycoords[maxcoord]),\n",
" color=\"black\",\n",
" fontsize=10,\n",
" ha=\"right\",\n",
" xycoords=\"axes fraction\",\n",
" )\n",
" _, yh = ax.get_ylim()\n",
" ys = np.round(yh / 6, 2)\n",
" ax.set_yticks(np.arange(0, yh, ys))\n",
" # Add the false-positive annotations\n",
" for k, (lab, lev) in enumerate(zip(labels, levels)):\n",
" ax.annotate(\n",
" f\"{lab}: [{p_05.loc[thresh, meth, lev]:.2f}, \"\n",
" f\" {p_01.loc[thresh, meth, lev]:.2f}, \"\n",
" f\"{p_001.loc[thresh, meth, lev]:.3f}]\",\n",
" (1, ycoords[k]),\n",
" color=pal[k],\n",
" ha=\"right\",\n",
" xycoords=\"axes fraction\",\n",
" fontsize=10,\n",
" )"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
" \n",
"\n",
"In a [recent post](https://quentinandre.net/post/how-not-to-deal-with-outliers), I described a recent paper in psychology that featured inflated false-positive rates for two reasons:\n",
"1. Some outliers which should not have been excluded (judging from the pre-registration) were excluded.\n",
"2. The outliers were excluded within conditions, rather than across the data.\n",
"\n",
"This discovery encouraged me to do more research on the topic, and to write a paper on outlier exclusions, which was recently accepted for publication.\n",
"\n",
"You can read the paper in full [here](https://quentinandre.net/publication/outliers-blind-hypothesis/) if you are curious, otherwise here are five highlights from the paper:"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 1. By-condition exclusions are relatively common, and the literature has insufficiently discouraged this practice"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"To assess the prevalence of this practice, I searched the *Journal of Experimental Psychology: General* for the all papers published since 2019 including the keyword \"outlier\". This search returned 43 papers, 31 of which included a univariate exclusion procedure. Out of those 31 papers, 9 of them incorrectly excluded outliers by condition.\n",
"\n",
"I also discovered that the most cited papers on the topic of outlier exclusions typically do not discuss the level at which outliers should be excluded (i.e., within vs. across conditions). In fact, the only two papers I found that do discuss this issue make the incorrect recommendation that outliers should be excluded within conditions. The details of this literature surveys are available in the paper, and on the [OSF repository](https://osf.io/3tz76/) of the project."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 2. Excluding outliers by condition is a paradox, and violates the logic of null-hypothesis testing"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"To determine if a treatment has an effect, researchers commonly engage in null-hypothesis significance testing (NHST): They compare the observed impact of their treatment to what would be expected if the treatment did not have any effect (the null hypothesis). \n",
"\n",
"Take the t-test for instance: It compares the observed difference in means between two groups to the differences that would be expected when two groups are independently sampled at random from a common normal distribution. If the observed difference is much more extreme than what this *null distribution* would predict, researchers typically \"reject the null,\" and conclude that the treatment had an effect.\n",
"\n",
"How is this connected to outlier exclusions? Well, when researchers choose to exclude outliers within conditions (rather than across the data), they operate under the assumption that the two conditions are different from each other… and have therefore implicitly rejected the null hypothesis. But if they have already accepted that the null hypothesis is not true, how can they then interpret a statistical test that assumes that the null is true? "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 3. Excluding outliers by condition will amplify any random difference originally present between the conditions"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This paradox is not without consequences. Consider the figure below: The two groups were drawn from the same distribution but, by chance, the values in the “Control” condition are slightly lower than the values in the “Treatment” condition. The panel on the left shows the conclusion that a researcher will reach when comparing the two groups with a t-test."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {
"filename": "Fig1"
},
"output_type": "display_data"
}
],
"source": [
"np.random.seed(2389326705) # Seed for reproducibility\n",
"\n",
"x, y = np.random.lognormal(size=(2, 100)) # Data before exclusions\n",
"xt = remove_outliers(x, cutoff_thresh=1.5) # Data after exclusions\n",
"yt = remove_outliers(y, cutoff_thresh=1.5)\n",
"\n",
"# Generating the \"before exclusions\" dataset, and flagging outliers in it.\n",
"resp = x.tolist() + y.tolist()\n",
"cond = np.repeat([\"Control\", \"Treatment\"], [x.shape[0], y.shape[0]])\n",
"df_noexcl = pd.DataFrame(dict(Response=resp, Condition=cond))\n",
"df_noexcl[\"Outliers\"] = df_noexcl.groupby(\"Condition\").transform(\n",
" lambda x: flag_outliers_iqr(x, cutoff_thresh=1.5)\n",
")\n",
"\n",
"# Generating the \"after exclusions\" dataset\n",
"resp = xt.tolist() + yt.tolist()\n",
"cond = np.repeat([\"Control\", \"Treatment\"], [xt.shape[0], yt.shape[0]])\n",
"df_excl = pd.DataFrame(dict(Response=resp, Condition=cond))\n",
"df_excl[\"Outliers\"] = False\n",
"dfs = [df_noexcl, df_excl]\n",
"\n",
"# Plotting the results\n",
"pal_rb = sns.color_palette()[0:5:3]\n",
"with sns.plotting_context(\"paper\", font_scale=1.1):\n",
" pal = sns.color_palette()\n",
" fig, axes = plt.subplots(2, 2, figsize=(8, 6), sharey=\"row\", sharex=True)\n",
" for ax, d in zip(axes[0], dfs):\n",
" sns.stripplot(\n",
" x=\"Condition\",\n",
" y=\"Response\",\n",
" hue=\"Outliers\",\n",
" data=d,\n",
" alpha=0.75,\n",
" jitter=0.1,\n",
" order=[\"Control\", \"Treatment\"],\n",
" ax=ax,\n",
" palette=pal_rb,\n",
" )\n",
" sns.despine()\n",
" ax.legend([], [], frameon=False)\n",
" ax.set_xlabel(\"\")\n",
" ax.set_ylabel(\"\")\n",
" for ax, d in zip(axes[1], dfs):\n",
" sns.pointplot(\n",
" x=\"Condition\", y=\"Response\", data=d, order=[\"Control\", \"Treatment\"], ax=ax,\n",
" )\n",
" ax.set_ylabel(\"\")\n",
" ax.set_xlabel(\"\")\n",
"\n",
" axes[0][0].set_title(\"Before Exclusions\")\n",
" axes[0][1].set_title(\"After Exclusions\")\n",
" axes[0][0].set_ylabel(\"Response\")\n",
" axes[1][0].set_ylabel(\"Mean Response\")\n",
"\n",
" pval_before = stats.ttest_ind(x, y, equal_var=False).pvalue\n",
" pval_after = stats.ttest_ind(xt, yt, equal_var=False).pvalue\n",
" axes[1][0].annotate(f\"p = {pval_before:.3f}\", (0.5, 1.2), ha=\"center\", va=\"center\")\n",
" axes[1][1].annotate(f\"p = {pval_after:.3f}\", (0.5, 1.5), ha=\"center\", va=\"center\")\n",
"fig = plt.gcf()\n",
"plt.close()\n",
"display(fig, metadata=dict(filename=\"Fig1\"))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now, the right panel shows what would happen if the researcher decided to exclude outliers within conditions before running the statistical test. Because of the minute difference between conditions, the same high values are flagged as outliers (red dots) by the boxplot in the “Control” condition, but not in the “Treatment” condition. As a consequence, the difference between the two conditions became much larger, and statistically significant (p < .001)."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 4. Excluding outliers by condition will routinely lead to unacceptable increases in Type I errors"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This example is not cherry picked. To show the general impact of by-condition exclusions, I simulated a large number of \"experiments\" conducted over different types of data, using different statistical tests, using different outlier exclusion cutoffs (IQR distance, z-score, and Median Absolute Difference) and thresholds (1.5, 2 or 3 times the IQR distance/z-score/Median Absolute Difference). \n",
"\n",
"The full details are in the paper, but here is an overview of the results:"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {
"filename": "Fig2"
},
"output_type": "display_data"
}
],
"source": [
"if \"df_pvals\" not in locals(): # See if the simulations are loaded in memory\n",
" try: # If not, see if the simulations have been downloaded.\n",
" df_pvals = pd.read_csv(\"Buffer/Buffered_pvals.csv\")\n",
" except: # Otherwise download them from OSF repository.\n",
" url = \"https://osf.io/46bxa/download\"\n",
" urllib.request.urlretrieve(url, \"Buffer/buffered_pvals.zip\")\n",
" with zipfile.ZipFile(\"Buffer/buffered_pvals.zip\", \"r\") as zip_ref:\n",
" zip_ref.extractall(\"Buffer\")\n",
" df_pvals = pd.read_csv(\"Buffer/Buffered_pvals.csv\")\n",
"with sns.plotting_context(\"paper\", font_scale=1.2):\n",
" # Plot the simulation results\n",
" plot_simulation_results(df_pvals, include_iterated=False)\n",
" plt.tight_layout()\n",
"fig = plt.gcf()\n",
"plt.close()\n",
"display(fig, metadata=dict(filename=\"Fig2\"))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This figure displays the survival curves of the tests: The fraction of tests that were significant (on the y-axis) at a given significance threshold (on the x-axis), under different outlier exclusion cutoffs (panels) and different outlier exclusion strategies (lines). \n",
"\n",
"We see that when no outliers are excluded (blue), or when the outliers are excluded across the data (orange, on top of the blue line), the false-positive rates that we observe are nominal: 5% of tests are significant at α = .05, 1% are significant at α = .01, and .1% are significant at α = .001.\n",
"\n",
"In contrast, we observe an increase in false-positive rates when applying the exclusion cutoff within conditions (green line). The simulations show that the increase is systematic and serious, and that it varies significantly across exclusion cutoffs: The most favorable case shows a 20% increase in the false-positive rate (from 5% to 6%), and the least favorable case shows a 400% increase (from 5% to 20%). In general, we see that the less stringent the cutoff, the more serious the inflation in false-positive rates: Lower cutoffs increase the number of values excluded within each condition, which further amplifies the original differences between the two samples.\n",
"\n",
"This is bad news, but is there any chance that the simulations overstate the problem? Wouldn't it be less severe in real data?"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 5. The problem is also observed in real data, and is further compounded when exclusions are performed \"iteratively\""
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"In this section, I will use the data of the paper that I [previously blogged about](https://quentinandre.net/post/how-not-to-deal-with-outliers).\n",
"\n",
"First, the \"anomalous exclusions\" that I described in the original post turned out to have a benign, if not unusual, explanation: The outliers were \"iteratively\" excluded within conditions. Any observation with a score lower than “three times the interquartile range below the lower quartile\" of its condition was removed from the data, and this procedure was recursively applied again within each condition, until no new outliers are found. Since the pre-registration did not mention this procedure, I originally believed that some outliers should not have been removed from the data.\n",
"\n",
"Now, what would be the impact of such \"iterated exclusions\"? The figure below provides an estimate of the false-positive rates that one would observe under various outlier exclusion procedures, in the context of this data. Again, the methodological details are available in the paper."
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {
"filename": "Fig3"
},
"output_type": "display_data"
}
],
"source": [
"if (\n",
" \"df_pvals_ckg_s2\" not in locals()\n",
"): # See if the simulations for CKG are loaded in memory\n",
" try: # If not, see if the simulations have been performed yet.\n",
" df_pvals_ckg_s2 = pd.read_csv(\"Buffer/Buffered_pvals_ckg_s2.csv\")\n",
" except: # Otherwise perform them.\n",
" url = \"https://osf.io/46bxa/download\"\n",
" urllib.request.urlretrieve(url, \"Buffer/buffered_pvals.zip\")\n",
" with zipfile.ZipFile(\"Buffer/buffered_pvals.zip\", \"r\") as zip_ref:\n",
" zip_ref.extractall(\"Buffer\")\n",
" df_pvals_ckg_s2 = pd.read_csv(\"Buffer/Buffered_pvals_ckg_s2.csv\")\n",
"\n",
"# Plot the simulation results\n",
"with sns.plotting_context(\"paper\", font_scale=1.2):\n",
" plot_simulation_results(df_pvals_ckg_s2, include_iterated=True)\n",
" plt.tight_layout()\n",
"fig = plt.gcf()\n",
"plt.close()\n",
"display(fig, metadata=dict(filename=\"Fig3\"))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This figure replicates the Type I error inflation previously observed in simulated data. While outlier exclusions are not associated with higher false-positive rates when they are performed across the data (the orange line, on top of the blue line), the likelihood of a false-positive result increases sharply when outliers are excluded within conditions (the green line): It is always higher than 9% and can be as high as 43%.\n",
"\n",
"Finally, the increase is even stronger when the outliers are iteratively excluded within conditions (the red line): Such iterated exclusions are causing the two conditions to further diverge, and routinely lead to differences that the theoretical null distribution would consider extremely unlikely. In particular, the upper right panel show that the exclusion strategy and cutoff reported in the paper is associated with a false-positive rate of 59%, which translates into a false-positive rate of 29.5% for the directional hypothesis that was pre-registered.\n",
"\n",
"Note that it does not mean that the hypothesis of the paper is false, or that the paper is a false-positive. It only confirms that within-condition exclusions can lead to unacceptably high false-positive rates (even in real, non-simulated data), particularly when the exclusions are performed iteratively.\n",
"\n",
"In the second part of this blog post, I will discuss a more general result of the paper: Any outlier exclusion procedure that is not blind to the hypothesis that researchers want to test may result in inflated false-positive rates."
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.6"
},
"toc-autonumbering": false
},
"nbformat": 4,
"nbformat_minor": 4
}