To bin or not to bin: why parasite abundance data should not be lumped into categories for statistical analysis
The impact of macroparasites on their hosts is proportional to the number of parasites per host, or parasite abundance. Abundance values are count data, i.e. integers ranging from 0 to some maximum number, depending on the host–parasite system. When using parasite abundance as a predictor in statist...
Saved in:
| Main Author: | Robert Poulin |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Cambridge University Press
|
| Series: | Parasitology |
| Subjects: | |
| Online Access: | https://www.cambridge.org/core/product/identifier/S003118202500040X/type/journal_article |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
EVALUTION OF MICROBIAL ACTIVITY IN ORGANIC SOLID FRACTION DURING COMPOSTING PROCESS TO BIOFERTILIZER USING COMPOSTING BIN METHODS
by: Aseel N. A., et al.
Published: (2024-12-01) -
Coarse-Grained Hawkes Processes
by: Shinsuke Koyama
Published: (2025-05-01) -
Q&A with Bin Cao
by: Bin Cao
Published: (2025-05-01) -
Models for Overdispersion Count Data with Generalized Distribution: An Application to Parasites Intensity
by: Burcu Durmuş, et al.
Published: (2021-06-01) -
Common statistical methods used in medical research
by: Hye Jin Yang, et al.
Published: (2025-03-01)