Literature DB >> 15462998

Estimating LD50s without a computer.

M J Healy1.   

Abstract

Quantitative analysis of dose-related effects, such as mosquitoes killed by insecticide or parasites killed by a drug, usually involves estimating the dose which kills, on average, 50% of the subjects. This quantity is often termed the LD(50) (LD for lethal dose), or the ED(50) (ED for effective dose). Other specified response levels, such as the LD(90) - the dose that kills 90% of subjects - may also be derived. Dose-related effects of this type follow an S-shaped curve because, clearly, doses lower than those giving zero response will also give zero response, while at the other end of the curve, doses above those giving a maximum response can also only give a maximum response. In other words the curve flattens out at both ends. The mathematics of fitting a suitable S-shaped curve to such data - for example by probit analysis - is quite simple in principle but can be arduous and time-consuming without a suitably programmed computer. In this article, Michael Healy explains an alternative approach which is particularly applicable to field observations where computers are unavailable.

Entities:  

Year:  1988        PMID: 15462998     DOI: 10.1016/0169-4758(88)90056-7

Source DB:  PubMed          Journal:  Parasitol Today        ISSN: 0169-4758


  3 in total

1.  Sensitivity of two in vitro assays for evaluating plant activity against the infective stage of Haemonchus contortus strains.

Authors:  A Al-Rofaai; W A Rahman; Mahfoudh Abdulghani
Journal:  Parasitol Res       Date:  2012-09-08       Impact factor: 2.289

2.  Anti Leishmanial Effect of Zinc Sulphate on the Viability of Leishmania tropica and L. major Promastigotes.

Authors:  Ali Fattahi Bafghi; Mohammad Noorbala; Mohammad Taghi Noorbala; Mahdi Aghabagheri
Journal:  Jundishapur J Microbiol       Date:  2014-09-01       Impact factor: 0.747

3.  The first report of multidrug resistance in gastrointestinal nematodes in goat population in Poland.

Authors:  Marcin Mickiewicz; Michał Czopowicz; Ewelina Kawecka-Grochocka; Agata Moroz; Olga Szaluś-Jordanow; Marián Várady; Alżbeta Königová; Marina Spinu; Paweł Górski; Emilia Bagnicka; Jarosław Kaba
Journal:  BMC Vet Res       Date:  2020-08-03       Impact factor: 2.741

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.