Logistic Regression Models for Aggregated Data
Work
Year: 2021
Type: article
Abstract: Logistic regression models are a popular and effective method to predict the probability of categorical response data. However, inference for these models can become computationally prohibitive for la... more
Institution UNSW Sydney
Cites: 42
Cited by: 9
Related to: 10
FWCI: 1.162
Citation percentile (by year/subfield): 66.09
Topic: Genetics and Plant Breeding
Subfield: Plant Science
Domain: Life Sciences
Open Access status: green
Funder Australian Research Council
Grant ID CE140100049