| 1 | # EBMStats
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| 2 |
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| 3 | A JavaScript port of the statistics calculator maintained by the Knowledge Translation Program at St. Michael’s Hospital.
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| 4 |
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| 5 | The original calculator was designed as a supplementary tool for the book *Evidence-Based Medicine: How to practice and teach it* by Straus, Richardson, Glasziou, & Haynes.
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| 6 |
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| 7 | The statistics calculator was created for your own personal use and testing purposes. It is to be used as a guide only. Medical decisions should not be based solely on the results of this program. Although this program has been tested, the accuracy of the information cannot be guaranteed.
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| 8 |
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| 9 | © St. Michael’s Hospital
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| 10 |
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| 11 | ## How to install
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| 12 |
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| 13 | ```
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| 14 | npm install ebmstats --save
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| 15 | ```
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| 16 |
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| 17 | ## How to use
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| 18 |
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| 19 | ### Diagnostic Test
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| 20 |
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| 21 | The diagnostic test accepts the following JSON object:
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| 22 |
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| 23 | ```
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| 24 | var testValues = {
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| 25 | "testPositiveDisease":1,
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| 26 | "testPositiveNoDisease":2,
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| 27 | "testNegativeDisease":3,
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| 28 | "testNegativeNoDisease":4
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| 29 | }
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| 30 | ```
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| 31 | Calling
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| 32 | ```
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| 33 | ebmstats.getDiagnosticTest(testValues);
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| 34 | ```
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| 35 | Returns
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| 36 | ```
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| 37 | {
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| 38 | "graph":true,
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| 39 | "sensitivity":0.333,
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| 40 | "sensitivityLowerLimit":0.061,
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| 41 | "sensitivityUpperLimit":0.792,
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| 42 | "specificity":0.571,
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| 43 | "specificityLowerLimit":0.25,
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| 44 | "specificityUpperLimit":0.842,
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| 45 | "ppv":0.25,
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| 46 | "ppvLowerLimit":0.046,
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| 47 | "ppvUpperLimit":0.699,
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| 48 | "npv":0.667,
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| 49 | "npvLowerLimit":0.3,
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| 50 | "npvUpperLimit":0.903,
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| 51 | "lrPlus":0.778,
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| 52 | "lrPlusLowerLimit":0.127,
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| 53 | "lrPlusUpperLimit":4.774,
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| 54 | "lrMinus":1.167,
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| 55 | "lrMinusLowerLimit":0.418,
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| 56 | "lrMinusUpperLimit":3.254
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| 57 | }
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| 58 | ```
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| 59 |
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| 60 | ### Prospective Test
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| 61 |
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| 62 | The prospective test accepts the following JSON object:
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| 63 |
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| 64 | ```
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| 65 | var testValues = {
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| 66 | "treatedDisease":1,
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| 67 | "treatedNoDisease":2,
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| 68 | "notTreatedDisease":3,
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| 69 | "notTreatedNoDisease":4
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| 70 | }
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| 71 | ```
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| 72 | Calling
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| 73 | ```
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| 74 | ebmstats.getProspectiveTest(testValues);
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| 75 | ```
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| 76 | Returns
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| 77 | ```
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| 78 | {
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| 79 | "chiSquared":0.179,
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| 80 | "pValue":0.673,
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| 81 | "rr":0.778,
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| 82 | "rrLowerLimit":0.127,
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| 83 | "rrUpperLimit":4.774,
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| 84 | "arr":0.095,
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| 85 | "arrLowerLimit":-0.437,
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| 86 | "arrUpperLimit":0.516,
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| 87 | "nnt":10,
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| 88 | "nntLowerLimit":-2.3,
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| 89 | "nntUpperLimit":1.9
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| 90 | }
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| 91 | ```
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| 92 |
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| 93 | ### Case-Control Study
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| 94 |
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| 95 | The case-control study accepts the following JSON object:
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| 96 |
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| 97 | ```
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| 98 | var testValues = {
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| 99 | "caseExposed":1,
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| 100 | "caseNotExposed":2,
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| 101 | "controlExposed": 3,
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| 102 | "controlNotExposed": 4
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| 103 | }
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| 104 | ```
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| 105 | Calling
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| 106 | ```
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| 107 | ebmstats.getCaseControlStudy(testValues);
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| 108 | ```
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| 109 | Returns
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| 110 | ```
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| 111 | {
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| 112 | "chiSquared":0.179,
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| 113 | "pValue":0.673,
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| 114 | "or":0.667,
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| 115 | "orLowerLimit":0.039,
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| 116 | "orUpperLimit":11.285
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| 117 | }
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| 118 | ```
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| 119 |
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| 120 | ### Randomized Control Study
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| 121 |
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| 122 | The randomized control study accepts the following JSON object:
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| 123 |
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| 124 | ```
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| 125 | var testValues = {
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| 126 | "experimentalOutcome":1,
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| 127 | "experimentalNoOutcome":2,
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| 128 | "controlOutcome":3,
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| 129 | "controlNoOutcome":4
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| 130 | }
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| 131 | ```
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| 132 | Calling
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| 133 | ```
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| 134 | ebmstats.getRct(testValues);
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| 135 | ```
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| 136 | Returns
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| 137 | ```
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| 138 | {
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| 139 | "chiSquared":0.179,
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| 140 | "pValue":0.673,
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| 141 | "rrr":0.222,
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| 142 | "rrrLowerLimit":-3.774,
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| 143 | "rrrUpperLimit":0.873,
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| 144 | "arr":0.095,
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| 145 | "arrLowerLimit":-0.437,
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| 146 | "arrUpperLimit":0.516,
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| 147 | "nnt":10,
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| 148 | "nntLowerLimit":-2.3,
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| 149 | "nntUpperLimit":1.9
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| 150 | }
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| 151 | ``` |
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