4.3 Article

TrendPowerTool: A lookup tool for estimating the statistical power of a monitoring program to detect population trends

期刊

出版社

WILEY
DOI: 10.1111/csp2.445

关键词

monitoring design; population monitoring; population trend; power analysis; status and trend; study design

资金

  1. Core Science Analytics, Synthesis, & Libraries (CSASL) Advanced Research Computing (ARC) group at the U.S. Geological Survey

向作者/读者索取更多资源

The TrendPowerTool is a web-based lookup app that quickly provides users with an estimate of the statistical power to detect a population trend of a particular magnitude in a planned monitoring program. With a user-friendly interface, users can retrieve results instantaneously, facilitating the important step of conducting a power analysis when designing monitoring programs.
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 (), 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.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.3
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据