Anchored Multiplier Calculator

Anchored Multiplier Calculator estimates consensus population sizes for hidden or hard-to-reach groups by synthesizing multiple empirical estimates under a Bayesian framework to inform public health research and intervention planning.


Key Features:

  • Bayesian framework: Integrates multiple population size estimates using Bayes' Theorem to produce a posterior distribution representing a consensus estimate.
  • Beta distribution conversion: Transforms user-provided point estimates with lower and upper bounds into beta probability distributions for each input estimate.
  • Unlimited data input: Accepts and synthesizes an unrestricted number of empirical population size estimates across sources.
  • Visual and tabular outputs: Produces a forest plot of input estimates alongside the consensus estimate and a detailed table reporting results as population percentages and counts.

Scientific Applications:

  • Hidden population size estimation: Estimates sizes of hidden or hard-to-reach groups, including people who use drugs, sex workers, and individuals with stigmatized conditions.
  • Public health planning and evaluation: Supports resource allocation, program planning, and evaluation of intervention outcomes by providing more reliable consensus estimates.

Methodology:

Convert point estimates with lower and upper bounds into beta distributions and combine those distributions using Bayes' Theorem to generate a posterior distribution representing the consensus population size estimate.

Topics

Details

License:
Unlicense
Maturity:
Mature
Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Added:
8/9/2019
Last Updated:
11/24/2024

Operations

Publications

Wesson PD, McFarland W, Qin CC, Mirzazadeh A. Software Application Profile: The Anchored Multiplier calculator—a Bayesian tool to synthesize population size estimates. International Journal of Epidemiology. 2019;48(6):1744-1749. doi:10.1093/ije/dyz101. PMID:31106350. PMCID:PMC6929553.

PMID: 31106350
PMCID: PMC6929553
Funding: - National Institutes of Health: T32 MH19105 - NIMH: R25MH064712

Documentation