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(1 classification) (10 resources)

Data Collection -- Observational Studies

Statistical Topic Classifications
Study Bias Issues (5)

Resources
View Resource An Exhalent Problem for Teaching Statistics

The dataset presented in this article contains information on respiratory function and smoking. The data can be used to explore descriptive statistics, graphical analysis, regression, and observational studies. The data are in .dat format.

http://www.amstat.org/publications/jse/v13n2/datasets.kahn.h...
View Resource Cartoon: Driving Dangers

A cartoon to teach about interpreting observational studies. Cartoon by John Landers (www.landers.co.uk) based on an idea from Dennis Pearl (The Ohio State University). Free to use in the classroom and on course web sites.

http://www.causeweb.org/resources/fun/db.php?id=4
View Resource Joke: the number of offspring

Statistics play an important role in genetics. For instance, statistics prove that the number of offspring you will have is an inherited trait. If your parents didn't have any kids, odds are you won't either. Joke #137 of Gary Ramseyer's First Internet Gallery of Statistics Jokes contributed by Hugh W. Graham of Abbott Labs.

http://www.causeweb.org/resources/fun/db.php?id=114
View Resource Observational Studies

This lesson on observational studies discusses the nature of such studies, the relationships between various data sets, and regression. Graphs illustrate the relationships, and exercises at the end test the user's comprehension and understanding. It is taken from the online textbook for West. Mich. Univ. online introductory stats course.

http://www.stat.wmich.edu/s160/book/node69.html
View Resource Observational Studies: Cross-Sectional & Cohort Studies, Risk & Prognostic Factors

This reference on observational studies discusses and defines cross-sectional, cohort, and case-control studies, risk factors, selection bias, and other topics related to observational studies. Examples from real life studies in health and medicine are given to help user understand the components of an observational study.

http://www-phm.umds.ac.uk/teaching/ClinEpid/ObservS.htm
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