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Analysis of proportional data in reproductive and developmental toxicity studies: comparison of logit transformation, arcsine square root transformation, and nonparametric analysis

Metadata Updated: November 12, 2020

We conducted power calculations to compare different approaches (nonparametric, arcsine square root-transformed, logit-transformed, untransformed) for analyzing litter-based proportional data. A reproductive toxicity study with a control and one treated group provided data for two endpoints: prenatal loss, and fertility by in utero insemination (IUI). Type I error and power were estimated by 10,000 simulations based on two-sample one-tailed t-tests with varying numbers of litters per group. To further compare the different approaches, we conducted additional analyses with the mean proportions shifted toward zero to produce illustrative scenarios. Analyses based on logit-transformed proportions had greater power than those based on untransformed or arcsine square root-transformed proportions, or nonparametric procedures.

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Metadata Created Date November 12, 2020
Metadata Updated Date November 12, 2020

Metadata Source

Harvested from EPA ScienceHub

Additional Metadata

Resource Type Dataset
Metadata Created Date November 12, 2020
Metadata Updated Date November 12, 2020
Publisher U.S. EPA Office of Research and Development (ORD)
Data Last Modified 2019-04-15
Public Access Level public
Bureau Code 020:00
Schema Version
Harvest Object Id 8ce3f0c3-1778-4f4c-9a1a-4861890bacbd
Harvest Source Id 04b59eaf-ae53-4066-93db-80f2ed0df446
Harvest Source Title EPA ScienceHub
Program Code 020:000
Publisher Hierarchy U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD)
Source Datajson Identifier True
Source Hash 39febe714ea3ecfb9ec9aa8192549fab3554c7c1
Source Schema Version 1.1

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