Editorial: Statistical significance-- use and misuse
نویسندگان
چکیده
منابع مشابه
Use and Misuse of Statistical Significance in Survival Analyses
In most preclinical disease models, survival analyses are the gold standard for measuring the efficacy of medical interventions such as therapeutics or vaccines. In these analyses, treatment regimens that promote the survival and/or reduce the morbidity of experimental subjects (e.g., mice) are tested for efficacy. Although these analyses appear to be relatively straightforward, there are assoc...
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Periodontitis is one of the most common inflammatory diseases affecting humans all over the world. Its prevalence varies from one country to another, yet thanks to the decline of edentulism and the general increase of life expectancy, it has been consistently rising in the past decade.5,9Moreover, nowadays patients are more inclined to keeping their natural teeth as long as possible, despite im...
متن کاملStatistical Significance Testing: A Historical Overview of Misuse and Misinterpretation with Implications for the Editorial Policies of Educational Journals
Statistical significance tests (SSTs) have been the object of much controversy among social scientists. Proponents have hailed SSTs as an objective means for minimizing the likelihood that chance factors have contributed to research results; critics have both questioned the logic underlying SSTs and bemoaned the widespread misapplication and misinterpretation of the results of these tests. The ...
متن کاملStatistical 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...
متن کاملThe Use and Misuse
Orthogonal regression is one of the standard linear regression methods to correct for the eeects of measurement error in predictors. We argue that orthogonal regression is often misused in errors-in-variables linear regression, because of a failure to account for equation errors. The typical result is to overcorrect for measurement error, i.e., overestimate the slope, because equation error is ...
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ژورنال
عنوان ژورنال: Sexually Transmitted Infections
سال: 1982
ISSN: 1368-4973
DOI: 10.1136/sti.58.2.71