scholarly journals Screening Toxic Chemicals: How Accurate Must Tests Be?

1988 ◽  
Vol 7 (5) ◽  
pp. 565-574 ◽  
Author(s):  
L.B. Lave ◽  
G.S. Omenn

A decision analysis framework is used to explore the value of screening tests for carcinogenicity. Whether a test lowers the social cost of screening depends on the test's sensitivity, specificity, and cost and the social cost of misclassification (exonerating carcinogenic chemicals or condemning noncarcinogenic chemicals). The model shows that the best screening test need not be either the most accurate or the least expensive.

2014 ◽  
Author(s):  
Ross P. Crothers ◽  
Jacqueline M. Diggs ◽  
Darwin A. Guevarra ◽  
Jia Wei Zhang ◽  
Ryan T. Howell
Keyword(s):  

2019 ◽  
Author(s):  
SÉBASTIEN RIOUX
Keyword(s):  

Author(s):  
Gianfranco Pacchioni

This chapter explores how validation of new results works in science. It also looks at the peer-review process, both pros and cons, as well as scientific communication, scientific journals, and scientific publishers. We give an assessment of the total number of existing journals with peer review. Other topics discussed include the phenomenon of open access, predatory journals and their impact on contemporary science, and the market of scientific publications. Finally, we touch on degenerative phenomena, such as the market of co-authors, bogus papers, and irrelevant and wrong studies, as well as the problem and the social cost of irreproducible results.


Author(s):  
Christoph Hambel ◽  
Holger Kraft ◽  
Eduardo Schwartz

2016 ◽  
Vol 34 (1) ◽  
pp. 49-82 ◽  
Author(s):  
Ikkyu Choi

Language proficiency constitutes a crucial barrier for prospective international teaching assistants (ITAs). Many US universities administer screening tests to ensure that ITAs possess the required academic oral English proficiency for their TA duties. Such ITA screening tests often elicit a sample of spoken English, which is evaluated in terms of multiple aspects by trained raters. In this light, ITA screening tests provide an advantageous context in which to gather rich information about test taker performances. This study introduces a systematic way of extracting meaningful information for major stakeholders from an ITA screening test administered at a US university. In particular, this study illustrates how academic oral English proficiency profiles can be identified based on test takers’ subscale score patterns, and discusses how the resulting profiles can be used as feedback for ITA training and screening policy makers, the ITA training program of the university, ESL instructors, and test takers. The proficiency profiles were identified using finite mixture modeling based on the subscale scores of 960 test takers. The modeling results suggested seven profile groups. These groups were interpreted and labeled based on the characteristic subscale score patterns of their members. The implications of the results are discussed, with the main focus on how such information can help ITA policy makers, the ITA training program, ESL instructors, and test takers make important decisions.


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