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Observational Studies

  • Epidemiology is the study of the distribution and determinants of human disease and health outcomes, and the application of methods to improve human health. This course examines the methods used in epidemiologic research, including the design of epidemiologic studies and the collection and analysis of epidemiological data.  Perfect for students and teachers wanting to learn/acquire materials for this topic.

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  • Examples of real data/studies and their analyses and interpretation.

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  • Gapminder seeks to educate all on the importance of "factfulness" and of knowing and contextualizing the statistics that describe the state of our world.  Learn facts from across the globe such as average income, life expectancy, energy use, education levels, and much more.

    Download Gapminder’s slides, tools, posters, handouts, lesson plans, and presentations at this webpage.

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  • Gapminder seeks to educate all on the importance of "factfulness" and of knowing and contextualizing the statistics that describe the state of our world.  Learn facts from across the globe such as average income, life expectancy, energy use, education levels, and much more.

    This particular page gives teachers resources to use in their classrooms involving the tools and data found on Gapminder.

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  • Gapminder seeks to educate all on the importance of "factfulness" and of knowing and contextualizing the statistics that describe the state of our world.  Learn facts from across the globe such as average income, life expectancy, energy use, education levels, and much more.

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  • A joke to be used in discussing the role and tools of epidemiology in studying infectious diseases.  The joke was written in 2018 by Larry Lesser from The University of Texas at El Paso.

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  • A song that can be used in discussing lurking variables - unobserved variables that may drive the relationships seen in the data. The lyrics were written by Mary McLellan from Aledo High School in Aledo, Texas as one of several dozen songs created for her AP statistics course. The song may be sung to the tune of the 2013 song “Happy,” written by Pharrell Williams for the animated movie Despicable Me 2. Also, an accompanying video may be found at
    https://www.youtube.com/watch?v=iWf-8_UjUyg

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  • A song that may be used in discussing how confounding variables may provide alternate explanations for the data making causal interpretations difficult. The lyrics were written by Mary McLellan from Aledo High School in Aledo, Texas as one of several dozen songs created for her AP statistics course. The song may be sung to the tune of the mid-20th century folk song 99 Bottles of Beer. Also, an accompanying video may be found at
    https://www.youtube.com/watch?v=-daUPdUV8C4

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  • A song to be used in discussing the idea that correlation does not imply causation. The original music and lyrics were written in 2017 by Lawrence Mark Lesser from The University of Texas at El Paso and won first place in the song category of the 2017 A-mu-sing contest.
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  • A cartoon to be used for discussing the value of stratification in reducing the variability of population estimates (and the difficulty in doing so when the population weights are unknown).. The cartoon was used in the May 2017 CAUSE Cartoon Caption Contest. The winning caption was submitted by Jim Alloway of EMSQ Associates. The drawing was created by British cartoonist John Landers based on an idea from Dennis Pearl of Penn State University. Two honorable mentions that rose to the top of the judging in the May competition may be found at https://www.causeweb.org/cause/resources/fun/cartoons/product-testing-ii written by Larry Lesser from University of Texas at El Paso and at https://www.causeweb.org/cause/resources/fun/cartoons/product-testing-iii written by John Bailer from Miami University.
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