Work Item
ASTM WK65967

New Guide for Binary Logistic Regression

1. Scope

This guide describes the analysis of data that is developed from test methods that produce go/no-go, Bernoulli trial outcomes, such as ignition or no-ignition or reaction/no-reaction data produced under a specific set of test conditions. Bernoulli trial outcome refers to test data with only two outcomes (i.e., flipping a coin heads or tails, etc.). This standard does not purport to address the actual test methodologies, which are assumed to be performed according to other recognized consensus standards. The values stated in SI units are to be regarded as the standard. The values given in parentheses are for information only.


bernoulli trial, bernoulli likelihood, binomial distribution, logistic regression, logit, negative binomial distribution, repeatability, reproducibility


There currently lacks strong central guidance in the form of a consensus standard for the handling of go/no-go data. Other committees have proposed the use of binary logistic regression as part of a test standard (ASTM G74 and E2862, for example), and this guide seeks to harmonize with the existing standards. Users would include anyone analyzing go/no-go data produced from a test method seeking a standardized approach for the data handling.

The title and scope are in draft form and are under development within this ASTM Committee.


Developed by Subcommittee: E11.10

Committee: E11

Staff Manager: Kelly Paul

Work Item Status

Date Initiated: 11-20-2018

Technical Contact: Nicholas Linley

Item: 000