Use of an online discussion board to improve diagnostic skills

We have used the “Discussion Board��� feature of an online classroom application (Blackboard) to present diagnostic questions for our advanced practice nursing students in their course on differential diagnosis. [See PDF for complete abstract]

Improving Conditions of Latino Children Brightens the Future of America

An introduction to the inaugural issue of the Journal of Applied Research on Children.

Development of a Bayesian Joint Logistic Model to Better Study the Association between Haplotypes and Disease

In 2011, there will be an estimated 1,596,670 new cancer cases and 571,950 cancer-related deaths in the US. With the ever-increasing applications of cancer genetics in epidemiology, there is great potential to identify genetic risk factors that would help identify individuals with increased genetic susceptibility to cancer, which could be used to develop interventions or targeted therapies that could hopefully reduce cancer risk and mortality. In this dissertation, I propose to develop a new statistical method to evaluate the role of haplotypes in cancer susceptibility and development. This model will be flexible enough to handle not only haplotypes of any size, but also a variety of covariates. I will then apply this method to three cancer-related data sets (Hodgkin Disease, Glioma, and Lung Cancer). I hypothesize that there is substantial improvement in the estimation of association between haplotypes and disease, with the use of a Bayesian mathematical method to infer haplotypes that uses prior information from known genetics sources. Analysis based on haplotypes using information from publically available genetic sources generally show increased odds ratios and smaller p-values in both the Hodgkin, Glioma, and Lung data sets. For instance, the Bayesian Joint Logistic Model (BJLM) inferred haplotype TC had a substantially higher estimated effect size (OR=12.16, 95% CI = 2.47-90.1 vs. 9.24, 95% CI = 1.81-47.2) and more significant p-value (0.00044 vs. 0.008) for Hodgkin Disease compared to a traditional logistic regression approach. Also, the effect sizes of haplotypes modeled with recessive genetic effects were higher (and had more significant p-values) when analyzed with the BJLM. Full genetic models with haplotype information developed with the BJLM resulted in significantly higher discriminatory power and a significantly higher Net Reclassification Index compared to those developed with haplo.stats for lung cancer. Future analysis for this work could be to incorporate the 1000 Genomes project, which offers a larger selection of SNPs can be incorporated into the information from known genetic sources as well. Other future analysis include testing non-binary outcomes, like the levels of biomarkers that are present in lung cancer (NNK), and extending this analysis to full GWAS studies.

An exploratory investigation of America's most costly delinquents: Juvenile firesetters

This study focused on the instruments that are currently being used by fire department personnel to identify and classify juvenile firesetters, these instruments, as published by the Federal Emergency Management Agency (F.E.M.A.) have never been empirically validated as to their ability to discriminate between first time and multiple firesetters and to predict the degree of risk for future firesetting by juveniles that come to the attention of authorities for firesetting behaviors. The study was descriptive in nature and not designed to test the validity of these instruments. The study was designed to test the ability of the instruments to discriminate between first time and multiple firesetters and to categorize known firesetters, based on the motive for firesetting, as to their degree or risk for future firesetting.^ The results suggest that the F.E.M.A. instruments are of little use in discriminating between first time and multiple firesetters. The F.E.M.A. instruments were not able to categorize juvenile firesetters as to their potential risk for future firesetting. A subset of variables from the F.E.M.A. instruments was identified that may be useful in discriminating between youth that are troubled firesetters and those that are not. ^