Is this the end of “statistical significance”?

the present study is a survey os postmodern historical novel with respect to the voice of women. it argues how the recorded history is regulated by the rules of power and how women have been excluded from this discourse.ther study analysez angela carters nights at the circus as an example of postmodern historical novel to illustrate how this novel has questioned the historical narrative and how it has inserted women into history by breaking the rules of patriarchy.

the present thesis is a study of postmodern historical novel with respect to the voice of women. according to postmodern historiography,the established institution of history is one of the other manifestations of patriarchys power which has silenced women. the study analyzes angela carters nights at the circus as a postmodern historical novel which makes its female characters transgress the pat...

Hepato‐preferential insulins: Is this the end, or the end of the beginning?

Basal insulin peglispro (BIL) is a novel insulin analogue that binds insulin lispro covalently via a urethane bond to a 20-kDa polyethylene glycol molecule (PEG). This analogue, therefore, has a molecular weight of ~25.8 kDa, approximately three times greater than that of native insulin or most insulin analogues. Its hydrodynamic size, however, appears to be even larger, ~90 kDa, similar to a g...

Statistical and Practical Significance of Articles at Sports Biomechanics Conferences

Background. The importance of using statistical approaches has increased and became necessary for researchers and specialists in sports biomechanics because they need more objective and accurate methods to increase knowledge. Objectives. Evaluate the reality of using practical significance in the articles published in scientific conferences in the biomechanical sport. Methods. One hundred twe...

Statistical significance: is it really that significant?

Statistical Literacy: Seeing How Statistical Significance Is Contextual

In observational studies, a statistically significant relationship can become statistically insignificant after taking into account the influence of a confounding factor. This is simply a result of the fact that in observational studies, all associations are contextual. Associations can change depending on what you take into account. First, a graph type is introduced that displays the influence...