Ontology highlight
ABSTRACT: Background
There are handful hypothesis-driven ethnobotanical studies in Nepal. In this study, we tested the non-random medicinal plant selection hypothesis using national- and community-level datasets through three different types of regression: linear model with raw data, linear model with log-transformed data and negative binomial model.Methods
For each of these model, we identified over-utilized families as those with highest positive Studentized residuals and underutilized families with highest negative Studentized residuals. The national-level data were collected from online databases and available literature while the community-level data were collected from Baitadi and Darchula districts.Results
Both dataset showed larger variance (national dataset mean 6.51
SUBMITTER: Kutal DH
PROVIDER: S-EPMC8520218 | biostudies-literature | 2021 Oct
REPOSITORIES: biostudies-literature