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PMVALSAMPSIZE: Stata module to calculate the minimum sample size required for external validation of a multivariable prediction model

Author

Listed:
  • Joie Ensor

    (Institute of Applied Health Research, University of Birmingham)

Programming Language

Stata

Abstract

pmvalsampsize computes the minimum sample size required for the external validation of an existing multivariable prediction model using the criteria proposed by Archer et al. and Riley et al. pmvalsampsize can currently be used to calculate the minimum sample size for the external validation of models with continuous or binary outcomes. A series of criteria define the sample size needed to ensure precise estimation of key measures of prediction model performance, allowing conclusions to be drawn about whether the model is potentially accurate and useful in a given population of interest.

Suggested Citation

  • Joie Ensor, 2023. "PMVALSAMPSIZE: Stata module to calculate the minimum sample size required for external validation of a multivariable prediction model," Statistical Software Components S459226, Boston College Department of Economics, revised 14 Nov 2023.
    • Handle: RePEc:boc:bocode:s459226
    Note: This module should be installed from within Stata by typing "ssc install pmvalsampsize". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
    as

    Download full text from publisher

    File URL: http://fmwww.bc.edu/repec/bocode/p/pmvalsampsize.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/p/pmvalsampsize.sthlp
    File Function: help file
    Download Restriction: no
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