Applied Categorical and Count Data Analysis

By Wan Tang, Hua He, X. Tu. 2012

151 citations recorded by the source corpus.

Subfields: Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/63762967c84785424924277887ec7c6c07410396

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In Control and Systems Engineering

1. Marcel Worring

Citations in the corpus

• What you Feel, Is what you like Influence of Message Appeals on Customer Engagement on Instagram (2020, methodology): “Spearman's rho is a more appropriate measure of association than the Pearson correlation for count data (Tang, He, and Tu 2012).”
• Log-transformation and its implications for data analysis (2014, background): “However, this is only appropriate for skewed data, if the data can be reasonably modeled by a parametric distribution such as the normal distribution, it is preferable to use the classic statistical methods because they usually provide more efficient inference than GEE.”