Study Design and Statistics

Author(s):  
Margaret A. Winker ◽  
Stephen J. Lurie

Statistical concepts, such as the margin of error in a public opinion poll or the probability of rain or snow, appear in everyday conversation. But, just as one may understand how the heart functions and how blood circulates but not be able to perform a cardiac catheterization, an understanding of statistical concepts does not enable one to perform the work of a statistician. Although the concepts may be familiar, the tools of statistics may be misapplied and the results misinterpreted without a statistician’s help. In medical research, the quality of the statistical analysis and clarity of presentation of statistical results are critical to a study’s validity. Decisions about statistical analysis are best made at the time that the study is designed and generally should not be deferred until after the data have been collected. Even the most sophisticated statistical analysis cannot salvage a fundamentally flawed study. Regardless of the statistician’s role, authors (who may include statisticians) are responsible for the appropriate design, analysis, and presentation of the study’s results...

2018 ◽  
Author(s):  
Catharina Vögele ◽  
Marko Bachl

We analyzed the quality of opinion poll coverage during the German Federal Election Campaigns 2005, 2009, 2013 and 2017 with a quantitative content analysis of the German quality newspapers Die Welt, Frankfurter Allgemeine Zeitung, Süddeutsche Zeitung and Frankfurter Rundschau. From the literature, we derived three indicators of high quality poll coverage: 1) Identification the source of the reported poll, 2) inclusion of the most important methodological information of these polls, and 3) correct interpretation of the poll results with regard to the margin of error. In line with previous research, the poll coverage lacked quality according to all three criteria. We conclude with a discussion of some simple remedies to improve the public opinion poll coverage.


2018 ◽  
Vol 60 (2) ◽  
pp. 147-155 ◽  
Author(s):  
Robert A Peterson

Many public opinion polls report a mythical margin of error. These reported margins of error are calculated on the basis of a nonexistent (fictitious) dichotomous poll question and are completely unrelated to the actual question responses in a poll. Because it can convey a false sense of poll precision, a mythical margin of error can lead to unsupported and even incorrect inferences regarding the precision of a public opinion poll. This research note documents the existence and implications of mythical margins of error and offers suggestions for addressing them.


1944 ◽  
Vol 8 (1) ◽  
pp. 104 ◽  
Author(s):  
Joe Belden

1955 ◽  
Vol 19 (1) ◽  
pp. 85 ◽  
Author(s):  
Joan Bissey Field

1998 ◽  
Vol 79 (6) ◽  
pp. 453-455
Author(s):  
A. N. Galiullin ◽  
R. Z. Nurkhamitov

The data of public opinion poll, expert estimation of activities of treatment and prophylactic institutions under transition to the budget and insurance medicine are given. It is shown that treatment and prophylactic institutions are not ready to work in current economic conditions. It is concluded that there are unused reserves for improving the quality of medical care in health service management in current economic conditions.


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