TY - JOUR
T1 - TrendPowerTool
T2 - A lookup tool for estimating the statistical power of a monitoring program to detect population trends
AU - Weiser, Emily L.
AU - Diffendorfer, Jay E.
AU - Lopez-Hoffman, Laura
AU - Semmens, Darius
AU - Thogmartin, Wayne E.
N1 - Publisher Copyright:
© 2021 The Authors. Conservation Science and Practice published by Wiley Periodicals LLC. on behalf of Society for Conservation Biology
PY - 2021/7
Y1 - 2021/7
N2 - A simulation-based power analysis can be used to estimate the sample sizes needed for a successful monitoring program, but requires technical expertise and sometimes extensive computing resources. We developed a web-based lookup app, called TrendPowerTool (https://www.usgs.gov/apps/TrendPowerTool/), to provide guidance for ecological monitoring programs when resources are not available for a simulation-based power analysis. TrendPowerTool is implemented through the shiny package in R, but is accessible through a webpage without the need for users to install any software. By drawing on results of 1.4 million scenarios that we simulated on a supercomputer, TrendPowerTool quickly and easily provides an estimate of the statistical power to detect a population trend of a particular magnitude with a planned monitoring program, based on user-specified parameters for the monitoring design and population of interest. TrendPowerTool provides a user-friendly interface that retrieves results instantaneously, facilitating the important step of conducting a power analysis when designing monitoring programs.
AB - A simulation-based power analysis can be used to estimate the sample sizes needed for a successful monitoring program, but requires technical expertise and sometimes extensive computing resources. We developed a web-based lookup app, called TrendPowerTool (https://www.usgs.gov/apps/TrendPowerTool/), to provide guidance for ecological monitoring programs when resources are not available for a simulation-based power analysis. TrendPowerTool is implemented through the shiny package in R, but is accessible through a webpage without the need for users to install any software. By drawing on results of 1.4 million scenarios that we simulated on a supercomputer, TrendPowerTool quickly and easily provides an estimate of the statistical power to detect a population trend of a particular magnitude with a planned monitoring program, based on user-specified parameters for the monitoring design and population of interest. TrendPowerTool provides a user-friendly interface that retrieves results instantaneously, facilitating the important step of conducting a power analysis when designing monitoring programs.
UR - https://www.scopus.com/pages/publications/85122086099
UR - https://www.scopus.com/pages/publications/85122086099#tab=citedBy
U2 - 10.1111/csp2.445
DO - 10.1111/csp2.445
M3 - Article
AN - SCOPUS:85122086099
SN - 2578-4854
VL - 3
JO - Conservation Science and Practice
JF - Conservation Science and Practice
IS - 7
M1 - e445
ER -