Modelling count, bounded and skewed continuous outcomes in physical activity research: beyond linear regression models

Modelling count, bounded and skewed continuous outcomes in physical activity research: beyond linear regression models

Abstract Background Inference using standard linear regression models (LMs) relies on assumptions that are rarely satisfied in practice. Substantial departures, if not addressed, have serious impacts on any inference and conclusions; potentially rendering them invalid and misleading. Count, bounded...

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Bibliographic Details
Main Authors: Muhammad Akram, Ester Cerin, Karen E. Lamb, Simon R. White
Format: Article
Language:English
Published: BMC 2023-05-01
Series:International Journal of Behavioral Nutrition and Physical Activity
Subjects:
Count data
Skewed data
Bounded data
Physical activity
Linear regression model
Generalized linear model
Online Access:https://doi.org/10.1186/s12966-023-01460-y

Internet

https://doi.org/10.1186/s12966-023-01460-y

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