Entity

Time filter

Source Type

Conway, AR, United States

Hendrix College is a private liberal arts college located in Conway, Arkansas which is about 30 miles from Little Rock. Enrollment is over 1,400, mostly undergraduates. While affiliated with the United Methodist Church, the curriculum is secular and the student body is composed of people from many different religious backgrounds. Hendrix is a member of the Associated Colleges of the South. Wikipedia.


Doucouliagos C.,Deakin University | Stanley T.D.,Hendrix College | Giles M.,Edith Cowan University
Journal of Health Economics | Year: 2012

The magnitude of the value of a statistical life (VSL) is critical to the evaluation of many health and safety initiatives. To date, the large and rigorous VSL research literature has not explicitly accommodated publication selectivity bias (i.e., the reduced probability that insignificant or negative VSL values are reported). This study demonstrates that doing so is essential. For studies that employ hedonic wage equations to estimate VSL, correction for selection bias reduces the average value of a statistical life by 70-80%. Our meta-regression analysis also identifies several sources for the wide heterogeneity found among reported VSL estimates. © 2011 Elsevier B.V. Source


Duina A.A.,Hendrix College | Miller M.E.,Rhodes College | Keeney J.B.,Juniata College
Genetics | Year: 2014

The budding yeast Saccharomyces cerevisiae is a powerful model organism for studying fundamental aspects of eukaryotic cell biology. This Primer article presents a brief historical perspective on the emergence of this organism as a premier experimental system over the course of the past century. An overview of the central features of the S. cerevisiae genome, including the nature of its genetic elements and general organization, is also provided. Some of the most common experimental tools and resources available to yeast geneticists are presented in a way designed to engage and challenge undergraduate and graduate students eager to learn more about the experimental amenability of budding yeast. Finally, a discussion of several major discoveries derived from yeast studies highlights the far-reaching impact that the yeast system has had and will continue to have on our understanding of a variety of cellular processes relevant to all eukaryotes, including humans. © 2014 by the Genetics Society of America. Source


Teng S.,University of California at Berkeley | Puri A.,Hendrix College | Whitney D.,University of California at Berkeley
Experimental Brain Research | Year: 2012

Echolocating organisms represent their external environment using reflected auditory information from emitted vocalizations. This ability, long known in various non-human species, has also been documented in some blind humans as an aid to navigation, as well as object detection and coarse localization. Surprisingly, our understanding of the basic acuity attainable by practitioners-the most fundamental underpinning of echoic spatial perception-remains crude. We found that experts were able to discriminate horizontal offsets of stimuli as small as~1.2° auditory angle in the frontomedial plane, a resolution approaching the maximum measured precision of human spatial hearing and comparable to that found in bats performing similar tasks. Furthermore, we found a strong correlation between echolocation acuity and age of blindness onset. This first measure of functional spatial resolution in a population of expert echolocators demonstrates precision comparable to that found in the visual periphery of sighted individuals. © Springer-Verlag 2011. Source


Stanley T.D.,Hendrix College | Doucouliagos H.,Deakin University
Statistics in Medicine | Year: 2015

This study challenges two core conventional meta-analysis methods: fixed effect and random effects. We show how and explain why an unrestricted weighted least squares estimator is superior to conventional random-effects meta-analysis when there is publication (or small-sample) bias and better than a fixed-effect weighted average if there is heterogeneity. Statistical theory and simulations of effect sizes, log odds ratios and regression coefficients demonstrate that this unrestricted weighted least squares estimator provides satisfactory estimates and confidence intervals that are comparable to random effects when there is no publication (or small-sample) bias and identical to fixed-effect meta-analysis when there is no heterogeneity. When there is publication selection bias, the unrestricted weighted least squares approach dominates random effects; when there is excess heterogeneity, it is clearly superior to fixed-effect meta-analysis. In practical applications, an unrestricted weighted least squares weighted average will often provide superior estimates to both conventional fixed and random effects. © 2015 John Wiley & Sons, Ltd. Source


Stanley T.D.,Hendrix College | Massey S.,Oklahoma State University
Journal of Clinical Epidemiology | Year: 2016

Objectives: To accommodate and correct identifiable bias and risks of bias among clinical trials of nicotine replacement therapy (NRT). Study Design and Setting: Meta-regression analysis of a published Cochrane Collaboration systematic review of 122 placebo-controlled clinical trials. Results: Both identified risks of bias and potential publication (or reporting or small sample) bias are associated with an increase in the reported effectiveness of NRT. Whenever multiple sources of biases are accommodated by meta-regression, no evidence of a practically notable or statistically significant overall increased rate of smoking cessation remains. Our findings are in stark contrast with the 50% to 70% increase in smoking cessation reported by the Cochrane Collaboration systematic review. Conclusion: After more than 100 randomized clinical trials have been conducted, the overall effectiveness of NRT is in doubt. Simple, well-established meta-regression methods can test, accommodate, and correct multiple sources biases, often mentioned but dismissed by conventional systematic reviews. © 2016 Elsevier Inc. Source

Discover hidden collaborations