Patterns of medicinal plant use: An examination of the Ecuadorian Shuar medicinal flora using contingency table and binomial analyses (Record no. 53638)
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| fixed length control field | 02311nam a2200181Ia 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | MX-MdCICY |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250625162432.0 |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | CICY |
| 090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) | |
| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) | B-19513 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250602s9999 xx |||||s2 |||| ||und|d |
| 245 10 - TITLE STATEMENT | |
| Title | Patterns of medicinal plant use: An examination of the Ecuadorian Shuar medicinal flora using contingency table and binomial analyses |
| 490 0# - SERIES STATEMENT | |
| Volume/sequential designation | Journal of EthnoPharmacology, 116(3), p.422-430, 2008 |
| 520 3# - SUMMARY, ETC. | |
| Summary, etc. | Ethnopharmacological relevance: Botanical pharmacopoeias are non-random subsets of floras, with some taxonomic groups over- or under-represented. Moerman [Moerman, D.E., 1979. Symbols and selectivity: a statistical analysis of Native American medical ethnobotany, Journal of Ethnopharmacology 1, 111-119]introduced linear regression/residual analysis to examine these patterns. However, regression, the commonly-employed analysis, suffers from several statistical flaws. Aim of the study: We use contingency table and binomial analyses to examine patterns of Shuar medicinal plant use (from Amazonian Ecuador). Materials and methods: We first analyzed the Shuar data using Moerman's approach, modified to better meet requirements of linear regression analysis. Second, we assessed the exact randomization contingency table test for goodness of fit. Third, we developed a binomial model to test for non-random selection of plants in individual families. Results: Modified regression models (which accommodated assumptions of linear regression)reduced R(2)to from 0.59 to 0.38, but did not eliminate all problems associated with regression analyses. Contingency table analyses revealed that the entire flora departs from the null model of equal proportions of medicinal plants in all families. In the binomial analysis, only 10 angiosperm families (of 115)differed significantly from the null model. These 10 families are largely responsible for patterns seen at higher taxonomic levels. Conclusions: Contingency table and binomial analyses offer an easy and statistically valid alternative to the regression approach. |
| 700 12 - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Bennett, B. C. |
| 700 12 - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Husby, C. E. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://drive.google.com/file/d/1UxHqLC78zZdbr0GnnDHv9CoEYUF13fQ-/view?usp=drivesdk">https://drive.google.com/file/d/1UxHqLC78zZdbr0GnnDHv9CoEYUF13fQ-/view?usp=drivesdk</a> |
| Public note | Para ver el documento ingresa a Google con tu cuenta: @cicy.edu.mx |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Clasificación local |
| Koha item type | Documentos solicitados |
| Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection | Home library | Current library | Shelving location | Date acquired | Total checkouts | Full call number | Date last seen | Price effective from | Koha item type |
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| Clasificación local | Ref1 | CICY | CICY | Documento préstamo interbibliotecario | 25.06.2025 | B-19513 | 25.06.2025 | 25.06.2025 | Documentos solicitados |