1/* DAGitty - a browser-based software for causal modelling and analysis 2 Copyright (C) 2010, 2017, 2022 Johannes Textor 3 4 This program is free software; you can redistribute it and/or 5 modify it under the terms of the GNU General Public License 6 as published by the Free Software Foundation; either version 2 7 of the License, or (at your option) any later version. 8 9 This program is distributed in the hope that it will be useful, 10 but WITHOUT ANY WARRANTY; without even the implied warranty of 11 MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 12 GNU General Public License for more details. 13 14 You should have received a copy of the GNU General Public License 15 along with this program; if not, write to the Free Software 16 Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA. */ 17 18 19// if the module has no dependencies, the above pattern can be simplified to 20(function (root, factory) { 21 if (typeof module === 'object' && module.exports) { 22 // Node. Does not work with strict CommonJS, but 23 // only CommonJS-like environments that support module.exports, 24 // like Node. 25 module.exports = factory(); 26 } else { 27 // Browser globals (root is window) 28 root.examples = factory(); 29 } 30}(typeof self !== 'undefined' ? self : this, function () { 31 return [ 32{ 33 d : `bb="-3,-0.5,2,1.2" 34 D [outcome,pos="1,1"]
35 E [exposure,pos="-2,1"] 36 Z [pos="-0.5,0.5"] 37 D <-> Z [pos="1,-1"] 38 E -> D 39 E <-> Z [pos="-2,-1"]`, 40 41 l: "The M-bias graph" 42}, 43 44{ 45 d: `A [pos="-2.200,-1.520"] 46 B [pos="1.400,-1.460"] 47 D [outcome,pos="1.400,1.621"] 48 E [exposure,pos="-2.200,1.597"] 49 Z [pos="-0.300,-0.082"] 50 A -> { E Z } 51 B -> { D Z } 52 E -> D 53 Z -> { D E }`, 54 l: "Extended confounding triangle" 55}, 56 57{ 58 e: "Z X I\nX I Y\nI Y", 59 v: "X E @-1.193,1.639\n"+ 60"Y O @1.053,1.639\n"+ 61"Z 1 @-0.132,-0.374\n"+ 62"I 1 @0.423,0.755", 63 l: "Small model with mediator" 64}, 65 66{ 67 v : "E E @-3.728,5.092\n"+ 68"D O @-1.510,6.789\n"+ 69"1 1 @-5.600,2.115\n"+ 70"2 1 @-7.120,-0.603\n"+ 71"3 1 @-7.138,-3.731\n"+ 72"4 1 @-5.395,-6.348\n"+ 73"5 1 @-2.468,-6.074\n"+ 74"6 1 @-2.179,-2.682\n"+ 75"7 1 @-1.049,-0.238\n"+ 76"8 1 @1.043,0.916\n"+ 77"9 1 @2.654,-2.614\n"+ 78"10 1 @4.955,-4.447\n"+ 79"11 1 @7.152,-1.901\n"+ 80"12 1 @7.424,1.256\n"+ 81"13 1 @5.971,3.498\n"+ 82"14 1 @4.225,5.936\n"+ 83"15 1 @1.634,7.468", 84 e : "1 E\n"+ 85"2 1\n"+ 86"3 2\n"+ 87"4 3\n"+ 88"5 4\n"+ 89"6 5\n"+ 90"7 6 E\n"+ 91"8 7 D\n"+ 92"9 8\n"+ 93"10 9\n"+ 94"11 10\n"+ 95"12 11\n"+ 96"13 12\n"+ 97"14 13\n"+ 98"15 14 D\n"+ 99"D\n"+ 100"E D", 101l: "Many variables but few paths" 102}, 103 104 { 105 v : "EDN1.3 E @-2.643,16.642\n"+ 106"EDNI1.7 O @-1.234,18.664\n"+ 107"SELP.22 1 @-0.481,2.644\n"+ 108"SELP.17 1 @-1.367,3.939\n"+ 109"ECE1.13 1 @-0.280,7.260\n"+ 110"ECE1.12 1 @1.202,8.772\n"+ 111"MET.6 1 @3.562,11.155\n"+ 112"CAT 1 @4.501,12.816\n"+ 113"CSF2.3 1 @2.509,-8.195\n"+ 114"CSF2.4 1 @-1.283,-8.195\n"+ 115"TGFBR3.10 1 @2.902,-3.702\n"+ 116"TGFBR3.2 1 @1.355,-2.058\n"+ 117"TGFBR3.8 1 @-0.092,-5.524\n"+ 118"SELP.12 1 @3.144,5.234\n"+ 119"BMP6.13 1 @-3.207,-4.786\n"+ 120"BMP6.12 1 @-2.382,-7.072\n"+ 121"ANXA2.8 1 @3.987,20.108\n"+ 122"BMP6.11 1 @-1.179,-0.789\n"+ 123"ADCY9.8 1 @2.198,9.855\n"+ 124"BMP6.10 1 @-3.086,2.250\n"+ 125"BMP6 1 @-1.985,4.558\n"+ 126"ANXA2.11 1 @0.105,12.599\n"+ 127"ANXA2.13 1 @1.437,15.415\n"+ 128"MET.5 1 @4.320,3.489\n"+ 129"BMP6.9 1 @-2.416,-2.349\n"+ 130"ANXA2.7 1 @-1.418,9.206\n"+ 131"BMP6.14 1 @-4.254,-6.607\n"+ 132"TGFBR3.7 1 @4.445,-7.336\n"+ 133"ANXA2.12 1 @-1.329,13.465\n"+ 134"SELP.14 1 @3.655,-1.126\n"+ 135"Stroke 1 @1.418,3.285\n"+ 136"ANXA2.5 1 @-3.410,11.227\n"+ 137"TGFBR3.9 1 @1.494,-6.462\n"+ 138"EDNI1.6 1 @1.697,21.769\n"+ 139"EDN1.9 1 @-4.064,21.051\n"+ 140"EDN1.10 1 @-0.282,22.274", 141 142e : "SELP.22\n"+ 143"SELP.17 SELP.22\n"+ 144"ECE1.13 SELP.17\n"+ 145"ECE1.12 ECE1.13\n"+ 146"MET.6 SELP.12\n"+ 147"CAT MET.5\n"+ 148"CSF2.3 CSF2.4\n"+ 149"CSF2.4\n"+ 150"TGFBR3.10 TGFBR3.2 TGFBR3.9\n"+ 151"TGFBR3.2 TGFBR3.9\n"+ 152"TGFBR3.8 TGFBR3.2 TGFBR3.9\n"+ 153"SELP.12\n"+ 154"EDN1.3 ANXA2.12 EDNI1.7\n"+ 155"BMP6.13 BMP6.12 BMP6.9\n"+ 156"BMP6.12\n"+ 157"EDN1.10 EDNI1.7\n"+ 158"EDNI1.6 EDN1.10 EDNI1.7\n"+ 159"EDNI1.7\n"+ 160"ANXA2.8 EDN1.3 CAT ECE1.12 EDNI1.6 ADCY9.8 BMP6 ANXA2.13\n"+ 161"BMP6.11 BMP6.9\n"+ 162"ADCY9.8\n"+ 163"BMP6.10 BMP6.11 BMP6.13\n"+ 164"BMP6 BMP6.10\n"+ 165"ANXA2.11\n"+ 166"ANXA2.13 ANXA2.11\n"+ 167"MET.5 MET.6 TGFBR3.7 SELP.14\n"+ 168"BMP6.9\n"+ 169"EDN1.9 EDN1.10 BMP6.14 EDN1.3\n"+ 170"ANXA2.7 ANXA2.11 ANXA2.5\n"+ 171"BMP6.14 BMP6.12\n"+ 172"TGFBR3.7 CSF2.3 TGFBR3.10\n"+ 173"ANXA2.12 ANXA2.13 ANXA2.11 ANXA2.7 ANXA2.5\n"+ 174"SELP.14\n"+ 175"Stroke CSF2.4 TGFBR3.10 MET.6 SELP.12 SELP.22 ECE1.13 ECE1.12 BMP6.12 BMP6.13 BMP6.11 ADCY9.8 BMP6.10 TGFBR3.8 MET.5 SELP.14\n"+ 176"TGFBR3.9\n"+ 177"ANXA2.5", 178 179l: "Sebastiani et al., 2005" 180 181}, 182 183{ 184 e: "0 1 0 0 0 0 0 0 0 0 0 0 0 0\n"+ 185 "0 0 0 0 0 0 0 0 0 0 0 0 0 0\n"+ 186 "1 0 0 0 0 0 0 0 0 0 0 0 0 0\n"+ 187 "1 0 0 0 0 0 0 0 0 0 0 0 0 0\n"+ 188 "0 1 1 0 0 0 1 0 0 0 0 0 0 1\n"+ 189 "0 1 1 0 1 0 1 0 0 0 0 0 0 1\n"+ 190 "0 1 0 0 0 0 0 0 0 0 0 0 0 0\n"+ 191 "1 1 1 1 1 1 1 0 0 0 1 1 1 1\n"+ 192 "1 1 1 1 1 1 1 1 0 0 1 1 1 1\n"+ 193 "1 1 1 1 1 1 1 1 0 0 1 1 1 1\n"+ 194 "1 1 0 0 1 1 1 0 0 0 0 1 0 1\n"+ 195 "1 1 1 0 1 1 1 0 0 0 0 0 1 0\n"+ 196 "0 1 1 0 1 1 1 0 0 0 0 0 0 1\n"+ 197 "0 1 0 0 0 0 0 0 0 0 0 0 0 0", 198 199 v: "ToothLoss E @-1.677,2.421\n"+ 200"Mortality O @1.900,2.360\n"+ 201"Periodontitis 1 @-0.335,1.703\n"+ 202"Caries 1 @-1.879,-1.875\n"+ 203"Diabetes 1 @-0.888,0.322\n"+ 204"Obesity 1 @-0.904,-1.340\n"+ 205"Hypertension 1 @1.780,-0.157\n"+
206"Psychosocial 1 @-0.088,0.266\n"+ 207"Age 1 @-0.039,-1.762\n"+ 208"Sex 1 @-0.844,-3.340\n"+ 209"Alcohol 1 @0.054,-3.594\n"+ 210"Smoking 1 @0.772,0.379\n"+ 211"Sport 1 @0.914,-3.396\n"+ 212"Lipids 1 @2.026,-1.650", 213 214 l: "Polzer et al., 2012" 215}, 216 217{ 218 e: "A S PA WC U TT\n"+ 219 "S TT T2DM\n"+ 220 "WC TT U T2DM\n"+ 221 "U TT T2DM\n"+ 222 "PA WC T2DM\n", 223 v: "TT E @-0.443,-0.942\n"+ 224"T2DM O @1.666,2.693\n"+ 225"A 1 @-1.429,-2.311\n"+ 226"S 1 @-1.423,2.555\n"+ 227"WC 1 @0.829,-0.735\n"+ 228"U 1 @-0.459,1.159\n"+ 229"PA 1 @1.661,-2.186", 230 l: "Schipf et al., 2010" 231}, 232 233{ 234 e: "Coach FitnessLevel TeamMotivation\n"+ 235"Genetics FitnessLevel NeuromuscularFatigue ConnectiveTissueDisorder\n"+ 236"TeamMotivation PreviousInjury WarmUpExercises\n"+ 237"PreGameProprioception WarmUpExercises\n"+ 238"ConnectiveTissueDisorder TissueWeakness NeuromuscularFatigue\n"+ 239"ContactSport IntraGameProprioception PreviousInjury\n"+ 240"TissueWeakness Injury\n"+ 241"IntraGameProprioception Injury\n"+ 242"FitnessLevel PreGameProprioception NeuromuscularFatigue\n"+ 243"NeuromuscularFatigue IntraGameProprioception Injury\n"+ 244"WarmUpExercises IntraGameProprioception", 245 v: "WarmUpExercises E @-7,8.650\n"+ 246"Injury O @4.969,8.605\n"+ 247"Coach 1 @-4.392,-7.906\n"+ 248"Genetics 1 @2.022,-7.906\n"+ 249"TeamMotivation 1 @-7.175,-0.950\n"+ 250"PreGameProprioception 1 @-3.638,-1.235\n"+ 251"ConnectiveTissueDisorder 1 @3.494,-5.099\n"+ 252"PreviousInjury 1 @-4.293,4.175\n"+ 253"ContactSport 1 @-1.157,2.548\n"+ 254"TissueWeakness 1 @4.236,1.857\n"+ 255"IntraGameProprioception 1 @-1.196,8.487\n"+ 256"FitnessLevel 1 @-1.489,-4.530\n"+ 257"NeuromuscularFatigue 1 @1.501,-1.235", 258 l: "Shrier & Platt, 2008" 259}, 260 261{ 262 v: "x3 E @-7.255,2.657\n"+ 263"x15 O @5.872,3.552\n"+ 264"x4 1 @-7.549,-5.201\n"+ 265"x5 1 @-4.116,-0.611\n"+ 266"x6 1 @-4.389,7.029\n"+ 267"x7 1 @-1.746,2.484\n"+ 268"x8 1 @2.209,6.269\n"+ 269"x9 1 @1.392,1.874\n"+ 270"x10 1 @3.925,-0.307\n"+ 271"x11 1 @-1.569,-4.200\n"+ 272"x12 1 @1.903,-4.093\n"+ 273"x13 1 @6.728,-4.093\n"+ 274"x14 1 @-0.676,9.163\n"+ 275"x16 1 @5.343,9.342\n"+ 276"x17 1 @7.417,7.412\n"+ 277"x18 1 @7.260,0.141\n"+ 278"x1 1 @-10.173,-1.479\n"+ 279"x2 1 @-9.832,5.930", 280 e: "x4 x5\n"+ 281 "x5 x7 x11\n"+ 282 "x6 x7 x14\n"+ 283 "x7 x9\n"+ 284 "x8 x14 x15\n"+ 285 "x9 x10\n"+ 286 "x10 x12 x15\n"+ 287 "x11 x12\n"+ 288 "x12 x13\n"+ 289 "x13\n"+ 290 "x14 x16\n"+ 291 "x16 x17\n"+ 292 "x17\n"+ 293 "x18\n"+ 294 "x1 x4 x3\n"+ 295 "x2 x3\n"+ 296 "x15 x17 x18\n"+ 297 "x3 x6 x5", 298 l: "Acid & de Campos, 1996" 299}, 300 301{ 302 v:"e0 U @0.108,0.697\n"+ 303"e1 U @0.284,0.682\n"+ 304"e2 1 @0.456,0.622\n"+ 305"e3 U @0.545,0.677\n"+ 306"e4 U @0.713,0.756\n"+ 307"s1 1 @0.266,0.802\n"+ 308"s2 A @0.457,0.811\n"+ 309"s3 1 @0.645,0.822\n"+ 310"x E @0.084,0.942\n"+ 311"y O @0.810,0.947\n"+ 312"z 1 @0.357,0.891\n"+ 313"z2 1 @0.554,0.908\n"+ 314"z3 1 @0.958,0.899", 315 316e:"e0 x\n"+ 317"e1 s1\n"+ 318"e2 s2 @0.446,0.643 y @0.949,0.690\n"+ 319"e3 s3\n"+ 320"e4 y\n"+ 321"s1 s2 z\n"+ 322"s2 s3 z2\n"+ 323"s3 y\n"+ 324"x y s1\n"+ 325"y z3\n", 326 327 l: "Thoemmes, 2013" 328}, 329 330{ 331 v: "AFF 1 @0.262,0.477\n"+ 332 "AIS 1 @0.123,0.736\n"+ 333 "ALN 1 @0.438,0.506\n"+ 334 "APA 1 @0.376,0.147\n"+ 335 "CDR 1 @0.628,0.332\n"+ 336 "DET 1 @0.920,0.561\n"+ 337 "EGC O @0.916,1.016\n"+ 338 "FTW 1 @0.667,0.639\n"+ 339 "HOS 1 @0.886,0.727\n"+ 340 "PER 1 @0.920,0.382\n"+ 341 "SAN 1 @0.031,0.371\n"+ 342 "SUS E @0.295,1.003", 343 344 e: "AFF ALN APA CDR\n"+ 345 "AIS AFF EGC SUS\n"+ 346 "ALN APA DET FTW PER SUS\n"+ 347 "CDR DET\n"+ 348 "EGC HOS\n"+ 349 "FTW DET EGC\n"+ 350 "SAN ALN AFF AIS APA CDR\n"+ 351 "SUS EGC FTW HOS\n"+ 352 "PER DET\n", 353 354 l: "van Kampen, 2014" 355}, 356 357{ 358 "d": ` 359dag { 360Age [adjusted,pos="-1.973,-0.123"] 361HRT [exposure,pos="-0.536,-0.016"] 362Occ [pos="-1.645,0.432"] 363S [selected,pos="0.925,-0.500"] 364Smo [adjusted,pos="-0.879,0.441"] 365TCI [outcome,pos="0.488,0.090"] 366Thist [pos="-0.569,1.027"] 367Age -> HRT 368Age -> Occ 369Age -> S [pos="-0.945,-0.571"] 370Age -> TCI [pos="-0.264,-0.456"] 371HRT -> TCI 372Occ -> Smo 373Occ -> Thist 374Smo -> HRT 375Smo -> TCI 376TCI -> S 377Thist -> TCI 378}`, 379 l: "Didelez et al, 2010" 380 } 381]; 382 383}));
Line numbers count LF bytes from the start of the resource, as the search results do. Vendor segments are library code the classifier recognised; they are stored but not indexed. Bytes are shown as Latin1 characters, one per byte.