Not statistically significant, but still scientific
نویسندگان
چکیده
منابع مشابه
The Difference between "Significant" and "Not Significant" Is Not Itself Statistically Significant
It is common to summarize statistical comparisons by declarations of statistical significance or non-significance. Here we discuss one problem with such declarations, namely that changes in statistical significance are often not themselves statistically significant. By this, we are not merely making the commonplace observation that any particular threshold is arbitrary—for example, only a small...
متن کاملNot significant but important.
Armstrong and colleagues report the result of a large Phase IIb randomized trial evaluating the effectiveness of a preparation of the Bowman Birk Inhibitor compared with an oral placebo in reversing the extent of oral leukoplakia as measured visually by pathology or a battery of intermediate end points. In this editorial, we review the report of this negative clinical trials result to highlight...
متن کاملStatistically significant sites
Most of us know less about statistics than we feel we should but, even as a scientist, it’s often not necessary to be an expert. When it comes to presenting your data, or reviewing someone else’s, however, it can help to have a ready reference at your fingertips. Before you run out and buy a textbook or ask advice from a colleague, take a look at what the web has to offer. Sites offering online...
متن کاملStatistically Significant Results
Fortunately, the probability that the process was simply a chance encounter can be calculated, and a minimum threshold of statistical significance can be set. If the results are obtained such that the probability that they are simply a chance process is less than this threshold of significance, then we can say the results have a high probability of not being due to chance. Note that the probabi...
متن کاملFinding Statistically Significant Attribute Interactions
In many data exploration tasks it is meaningful to identify groups of aribute interactions that are specic to a variable of interest. For instance, in a dataset where the aributes are medical markers and the variable of interest (class variable) is binary indicating presence/absence of disease, we would like to know which medical markers interact with respect to the binary class label. ese ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Animal Sentience
سال: 2017
ISSN: 2377-7478
DOI: 10.51291/2377-7478.1247