175 research outputs found
Design for Rapid Valley irrigation project, Rapid Valley, South Dakota
Get PDFThesis (BS)--University of Illinois, 1913Primarily typescript; folded leaf of plates (map) is a blueprint copy of m
Rejoinder
Get PDFWe agree with Schmidt that it is essential that researchers from many diverse areas have access to affordable, but still trustworthy, software. In this research project, substantial effort went into preparing datasets. Much of the data came from different government agencies, with databases arranged in multiple formats, often including variables that were not immediately relevant to our scientific pursuits. In our work on this project, the use of SAS was essential to producing clean datasets
The Relationship between Tobacco Retailer Density and Neighborhood Demographics in Ohio
Get PDFIntroduction: Studies from various parts of the country suggest that tobacco-related health disparities are exacerbated by disparitiesin the distribution of tobacco retailers (convenience stores, tobacco shops, etc.). The purpose of the present study was to use advancedspatial modeling techniques for count data to estimate current disparities in tobacco retailer density in Ohio.Methods: We identified and geocoded 11,392 tobacco retailers in Ohio. Next, we obtained census tract-level information on race/ethnicity, poverty, and age and obtained county-level information on whether an area was Urban, Suburban, or Rural. Finally, we used negative binomial generalized linear models, adapted for residual spatial dependence, to determine the association between per capita tobacco retailer density and demographic characteristics—summarized by adjusted rate ratios.Results: There were more (from 1.4-1.9 times as many) retailers per capita in high-poverty vs. low-poverty tracts. Poverty also interacted with age: the association between high poverty and high retailer density was stronger for tracts with a low youth population. Density was also greater in tracts with a high (vs. low) prevalence of African Americans (1.1 times as many) and Hispanics (1.2 times as many). Finally, density was generally greater in rural (vs. suburban or urban) tracts, although the effect was modified by a three-way interaction: density was particularly high for rural tracts that also had both a high prevalence of poverty and a low youth population.Discussion: Overall, our findings indicate that Ohio’s vulnerable populations are exposed to a greater per capita density of tobaccoretailers. There is a need for state and local-level tobacco control policies that will improve equity and reduce health disparities
The IMS New Researchers\u27 Survival Guide
Get PDFStatistics is a wonderfully diverse profession and graduate students making career choices have many options — especially in light of the dearth of students moving into the statistical sciences today. The three main career paths at the PhD level are in academics, industry/business and government. Each of these job types offers its own mix of intellectual challenges, financial reward, pressure and security. How a new researcher selects (or is selected by) a specific occupation in the statistical sciences sometimes seems more a function of luck than of conscious decision making. This consideration was one of the first concerns addressed by the New Researchers Committee (NRC) of the Institute of Mathematical Statistics in 1988, and this guide is the product of that (and later) thinking. We believe that if students were better informed about their choices, they would be less apprehensive, pursue their goals more effectively and, ultimately, be far more likely to find positions for which they are well suited. Similarly, if doctoral students were generally more familiar with various aspects of professional life, the entire statistical community would benefit. Among the transitional facts of life with which we believe new researchers should be acquainted are: 1. mechanisms for applying for jobs, 2. expectations associated with different types of jobs, 3. techniques for initiating an active research program, and 4. methods of becoming more involved with the broader statistical community. The Survival Guide addresses these issues, but it also offers advice on a variety of other topics which new researchers may wish to consider as they prepare to leave graduate school. This guide is based on the Statistical Science article by the New Researchers Committee of IMS (1991). See Kruse (2002) on inspiration for statistics as a career path and Stasny (2001) on the big picture with respect to academic jobs. DeMets et al (1998) and Shettle and Gaddy (1998) provide job outlooks for statisticians
- …
