Hypothesis testing is a methodological paradigm widely popularized outside the field of pure statistics, and nowadays more or less familiar to the largest part of biomedical researchers. Conversely, the equivalence testing is still somehow obscure and misunderstood, although it represents a conceptual mainstay for some biomedical fields like pharmacology. In order to appreciate the way it could suit laboratory medicine, it is necessary to understand the philosophy behind it, and in turn how it stemmed and differentiated along the history of classical hypothesis testing. Here we present the framework of equivalence testing, the various tests used to assess equivalence and discuss their applicability to laboratory medicine research and issues
Similarity in bioassays means that the test preparation behaves as a dilution of the standard prepar...
The purpose of the article is to demonstrate an equivalence testing software application written und...
Recent emphasis on credible causal designs has led to the expectation that scholars justify their re...
Hypothesis testing is a methodological paradigm widely popularized outside the field of pure statist...
Studies designed to examine the equivalence of treatments are increasingly common in social and biom...
Equivalence testing, an alternative to testing for statistical significance, is little used in educa...
Equivalence testing is a relatively new area of research in statistics. It\u27s development has been...
Researchers in psychology reliably select traditional null hypothesis significance tests (e.g., Stud...
Equivalence testing is the natural approach to many statistical problems. First, its main applicatio...
Equivalence testing is the natural approach to many statistical problems. First, its main applicatio...
This thesis considers two statistics problems in bio-equivalence. The first problem concerns 2-stage...
Abstract Background Null hypothesis significance testing (NHST) is among the most frequently employe...
Abstract This article introduces the application of Equivalence Hypothesis Test-ing (EHT) into the E...
In recent years, the development of follow-on biological products (biosimilars) has received increas...
Recent emphasis on credible causal designs has led to the expectation that scholars justify their re...
Similarity in bioassays means that the test preparation behaves as a dilution of the standard prepar...
The purpose of the article is to demonstrate an equivalence testing software application written und...
Recent emphasis on credible causal designs has led to the expectation that scholars justify their re...
Hypothesis testing is a methodological paradigm widely popularized outside the field of pure statist...
Studies designed to examine the equivalence of treatments are increasingly common in social and biom...
Equivalence testing, an alternative to testing for statistical significance, is little used in educa...
Equivalence testing is a relatively new area of research in statistics. It\u27s development has been...
Researchers in psychology reliably select traditional null hypothesis significance tests (e.g., Stud...
Equivalence testing is the natural approach to many statistical problems. First, its main applicatio...
Equivalence testing is the natural approach to many statistical problems. First, its main applicatio...
This thesis considers two statistics problems in bio-equivalence. The first problem concerns 2-stage...
Abstract Background Null hypothesis significance testing (NHST) is among the most frequently employe...
Abstract This article introduces the application of Equivalence Hypothesis Test-ing (EHT) into the E...
In recent years, the development of follow-on biological products (biosimilars) has received increas...
Recent emphasis on credible causal designs has led to the expectation that scholars justify their re...
Similarity in bioassays means that the test preparation behaves as a dilution of the standard prepar...
The purpose of the article is to demonstrate an equivalence testing software application written und...
Recent emphasis on credible causal designs has led to the expectation that scholars justify their re...