shukra

    2.3.3 • Public • Published

    shukra

    Tools for meta-analytical statistics, including Network Meta-Analysis (NMA), in NodeJS

    Example

    An NMA on difference in means:

    const { fixedEffectsMeanDifferenceNMA } = require('shukra/nma');
    
    const studies = [1, 1, 2, 2, 2, 3, 3];
    const trts = ['A', 'B', 'A', 'B', 'C', 'C', 'B'];
    const means = [8, 10, 7, 10.5, 10.5, 10, 11];
    const sds = [4.92, 3.87, 3.25, 6.35, 6.66, 4.32, 4.30];
    const ns = [63, 45, 35, 44, 53, 75, 29];
    
    const nma = fixedEffectsMeanDifferenceNMA(studies, trts, means, sds, ns);
    
    nma.getEffect('A', 'B');
    /*
    -2.819
     */
    
    nma.computeInferentialStatistics('A', 'B');
    /*
    {
      p: 0.000008,
      lowerBound: -4.06,
      upperBound: -1.58
    }
    */   

    Computing a pooled mean using inverse variance weighting:

    const { randomEffectsPooledMean } = require('shukra/pooling');
    randomEffectsPooledMean(ns, means, sds);
    /*
    {
      estimate: 9.493324459831722,
      lower: 8.334404617356348,
      upper: 10.652244302307096,
      studyEstimates: [
        { lower: 6.785093322564656, estimate: 8, upper: 9.214906677435344 },
        { lower: 8.86928592265621, estimate: 10, upper: 11.13071407734379 },
        { lower: 5.923293264578356, estimate: 7, upper: 8.076706735421643 },
        ...
      ]
    }
    */

    Install

    Install the current release on npm:

    npm install shukra

    Install the most recent development version:

    npm install --save https://github.com/holub008/shukra/tarball/master

    About Shukra

    shukra is a web targeted meta-analytical statistics toolkit. It was specifically designed for simplicity & speed over comprehensiveness (as in formal research publication); this means shukra can fit an NMA in the scope of a web request (<10 milliseconds).

    The feature set is growing, but currently offers several modules:

    • NMA (shukra/nma)
      • Fixed effects models
      • Mean Difference (continuous outcomes) & Odds Ratios (binomial outcomes)
      • Inferential statistics on effect size estimates
    • Pooling (shukra/pooling)
      • Inverse variance weighting
      • Random effects models
      • Imputation of missing data
      • Inferential statistics on pooled estimates and individual study point estimates

    About NMA

    Network Meta-Analysis is a model for performing research synthesis. Given multi-arm (2+) studies, where each arm represents a discrete experimental treatment, and a measured outcome for each arm, an NMA produces an effect size estimate and associated inferential statistics.

    NMA is exciting in that it models direct contrasts (i.e. head to head treatment comparisons in studies) and indirect evidence (i.e. using knowledge about A vs. B in one study and B vs. C in another to make inference on A vs. C).

    Install

    npm i shukra

    DownloadsWeekly Downloads

    1

    Version

    2.3.3

    License

    GPL-2.0-or-later

    Unpacked Size

    476 kB

    Total Files

    13

    Last publish

    Collaborators

    • holub008