Descriptive and Inferential Statistics in Undergraduate Data Science Research Projects

D’Souza, Malcolm J.; Brandenburg, Edward A.; Wentzien, Derald E.; Bautista, Riza C.; Nwogbaga, Agashi P.; Miller, Rebecca G.; Olsen, Paul E.

doi:10.5772/65721

Cited by 4 publications

(24 citation statements)

References 5 publications

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“…To gain access to this query-based database, requires a signed consent form. The entry to this rich source of statistical research data is described (in detail) elsewhere (D’Souza et al, 2017), and is through search/browse variables and the structured query language (SQL). For all 50 US States, the entire mortality dataset, pre-constructed subsets, or customized subsets of the data were downloaded into MS Excel and SAS files.…”

Section: Methodsmentioning

confidence: 99%

“…For all 50 US States, the entire mortality dataset, pre-constructed subsets, or customized subsets of the data were downloaded into MS Excel and SAS files. The age-adjusted mortality rates per 100,000 are available in CDC WONDER and are calculated using Equation 1 (D’Souza et al, 2017). …”

Section: Methodsmentioning

confidence: 99%

“…To further educate its students on human-health issues, the College revised its liberal arts core-curriculum (D’Souza et al, 2016) to incorporate experiential experiences in public health topics, and introduced course-embedded Statistical Analysis System (SAS) data-mining and geo-spatial analysis (using ArcGIS) training, available to all undergraduate majors (D’Souza et al, 2017; D’Souza et al, 2015; D’Souza et al, 2017). To accommodate such ongoing curricula changes and accessibility to dynamic undergraduate research projects within an all-encompassing umbrella, the College in 2017, launched the Undergraduate Center for Analytics, Talent, and Success (UR-CATS).…”

Section: Introductionmentioning

confidence: 99%

“…This same study also showed that age and education were key obesity risk factors within the State of Delaware. Furthermore, a senior honors capstone project (D’Souza et al, 2017) analyzed the 1999–2014 CDC WONDER Delaware death records where an ICD-10 code for overweight and obesity was listed as a contributing factor and found that the 2014 age-adjusted Delaware obesity-related mortality rates increased by 28.7%.…”

Section: Introductionmentioning

confidence: 99%

“…Acknowledging the ICD-10 coding limitations (Lebovitz et al, 2018), but spurred on by its merits in obesity reports and studies (D’Souza et al, 2017; George et al, 2018, Flegal et al, 2007; Keller et al, 2018; O’Malley et al, 2005; Yang et al, 2017), this observational retrospective undertaking, uses the CDC WONDER database (Friede et al, 1993), to evaluate the 1999–2016 multiple causes of death information, to pursue important insights, associations, and shifting trends in the US death rates where there was any mention of overweight and obesity on the death certificate. Information from such a study is helpful as it can enhance public perceptions on body fat for inducing positive, individual, behavioral change.…”

Section: Introductionmentioning

confidence: 99%

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Data Talks: Obesity-Related Influences on US Mortality Rates

D’Souza

Bautista

Wentzien

2018

RHS

Self Cite

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Background: In the US, obesity is an epidemiologic challenge and the population fails to comprehend this complex public health issue. To evaluate underlying obesity-impact patterns on mortality rates, we data-mined the 1999–2016 Center for Disease Control WONDER database’s vital records. Methods: Adopting SAS programming, we scrutinized the mortality and population counts. Using ICD-10 diagnosis codes connected to overweight and obesity, we obtained the obesity-related crude and age-adjusted causes of death. To understand divergent and prevalence trends we compared and contrasted the tabulated obesity-influenced mortality rates with demographic information, gender, and age-related data. Key Results: From 1999 to 2016, the obesity-related age-adjusted mortality rates increased by 142%. The ICD-10 overweight and obesity-related death-certificate coding showed clear evidence that obesity factored in the male age-adjusted mortality rate increment to 173% and the corresponding female rate to 117%. It also disproportionately affected the nation-wide minority population death rates. Furthermore, excess weight distributions are coded as contributing features in the crude death rates for all decennial age-groups. Conclusions: The 1999–2016 data from ICD-10 death certificate coding for obesity-related conditions indicate that it is affecting all segments of the US population.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Data Talks: Obesity-Related Influences on US Mortality Rates

D’Souza

Bautista

Wentzien

2018

RHS

Self Cite

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Data-intensive Undergraduate Research Project Informs to Advance Healthcare Analytics

DrSouza

Wentzien

Bautista

et al. 2018

2018 IEEE Signal Processing in Medicine and Biology Symposium (SPMB)

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The overarching framework for incorporating informatics into the Wesley College (Wesley) undergraduate curriculum was to teach emerging information technologies that prepared undergraduates for complex high-demand work environments. Federal and State support helped implement Wesley’s undergraduate Informatics Certificate and Minor programs. Both programs require project-based coursework in Applied Statistics, SAS Programming, and Geo-spatial Analysis (ArcGIS). In 2015, the State of Obesity listed the obesity ranges for all 50 US States to be between 21–36%. Yet, the Center for Disease Control and Prevention (CDC) mortality records show significantly lower obesity-related death-rates for states with very high obesity-rates. This study highlights the disparities in the reported obesity-related death-rates (specified by an ICD-10 E66 diagnosis code) and the obesity-rate percentages recorded for all 50 US States. Using CDC mortality-rate data, the available obesity-rate information, and ArcGIS, we created choropleth maps for all US States. Visual and statistical analysis shows considerable disparities in the obesity-related death-rate record-keeping amongst the 50 US States. For example, in 2015, Vermont with the sixth lowest obesity-rate had the highest reported obesity-related death-rate. In contrast, Alabama had the fifth highest adult obesity-rate in the nation, yet, it had a very low age-adjusted mortality-rate. Such disparities make comparative analysis difficult.

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COVID-19 Impacts at a Small Mid-Atlantic Liberal-Arts College with Implications for STEM Education

D’Souza

Fry

Koyanagi

et al. 2020

Journal of Education and e-Learning Research

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During the COVID-19 pandemic, with very little preparation and within a brief span of 48 hours, the Wesley College STEM faculty and students triaged into a remote-only form of instruction. Wesley College STEM student COVID-19 impact surveys showed underlying gaps in economic equity, increased family responsibilities, struggles to stay motivated, social isolation, and higher levels of psychological stress. Yet, the crisis demonstrated new ways in which technology can be harnessed and allowed STEM students to reconsider how jobs and skills should be aligned. A STEM faculty COVID-19 check-in survey and interview responses revealed a quick realization that faculty could not rely solely on Wesley’s Jenzebar learning management system (MyWesley). To engage their students and to create a supportive learning environment, STEM faculty sought new strategies and approaches for a diverse set of STEM learners. For synchronous e-teaching, the faculty used the Microsoft-Teams and the Zoom video conferencing platforms. Faculty only adopted MyWesley to execute dedicated asynchronous tasks (laboratory assignments, reports, exams). The STEM students were overwhelmingly positive about STEM faculty availability during the crisis. Still, both faculty and students indicated a much stronger preference for the face-to-face delivery of their course content via a traditional classroom setting.

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Descriptive and Inferential Statistics in Undergraduate Data Science Research Projects

Cited by 4 publications

References 5 publications

Data Talks: Obesity-Related Influences on US Mortality Rates

Data Talks: Obesity-Related Influences on US Mortality Rates

Data-intensive Undergraduate Research Project Informs to Advance Healthcare Analytics

COVID-19 Impacts at a Small Mid-Atlantic Liberal-Arts College with Implications for STEM Education

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