Following a fundamental statement made in 2016 by the American Statistical Associations and broad and consistent changes in data analysis and interpretation methodology in public health and other sciences, statistical significance/null hypothesis testing is being increasingly criticized and abandoned in the reporting and interpretation of the results of biomedical research. This shift in favor of a more comprehensive and non-dichotomous approach in the assessment of causal relationships may have a major impact on human health risk assessment. It is interesting to see, however, that authoritative opinions by the Supreme Court of the United States and European regulatory agencies have somehow anticipated this tide of criticism of statistical ...
Background: Null Hypothesis Significance Testing (NHST) is the most familiar statistical procedure f...
Null hypothesis significance testing (NHST) is arguably the mosl widely used approach to hypothesis ...
Problemification: Over-reliance on null hypothesis significance testing (NHST) is one of the most im...
Following a fundamental statement made in 2016 by the American Statistical Associations and broad an...
Following a fundamental statement made in 2016 by the American Statistical Associations and broad an...
Null hypothesis significance testing (NHST) text was once widely popular and almost systematically u...
We discuss problems the null hypothesis significance testing (NHST) paradigm poses for replication a...
Traditional null hypothesis significance testing (NHST) incorporating the critical level of signific...
Background The null hypothesis significance test (NHST) is the most frequently used statistical met...
Criticisms of traditional null hypothesis significance testing (NHST) became more pro-nounced during...
Although thoroughly criticized, null hypothesis significance testing (NHST) remains the statistical ...
Although thoroughly criticized, null hypothesis significance testing (NHST) remains the statistical ...
What if there were no significance testing? This was the question faced by early researchers at the ...
The role of P-values for null hypothesis testing is under debate. We aim to explore the impact of th...
Decisions about support for therapies in light of data are made using statistical inference. The dom...
Background: Null Hypothesis Significance Testing (NHST) is the most familiar statistical procedure f...
Null hypothesis significance testing (NHST) is arguably the mosl widely used approach to hypothesis ...
Problemification: Over-reliance on null hypothesis significance testing (NHST) is one of the most im...
Following a fundamental statement made in 2016 by the American Statistical Associations and broad an...
Following a fundamental statement made in 2016 by the American Statistical Associations and broad an...
Null hypothesis significance testing (NHST) text was once widely popular and almost systematically u...
We discuss problems the null hypothesis significance testing (NHST) paradigm poses for replication a...
Traditional null hypothesis significance testing (NHST) incorporating the critical level of signific...
Background The null hypothesis significance test (NHST) is the most frequently used statistical met...
Criticisms of traditional null hypothesis significance testing (NHST) became more pro-nounced during...
Although thoroughly criticized, null hypothesis significance testing (NHST) remains the statistical ...
Although thoroughly criticized, null hypothesis significance testing (NHST) remains the statistical ...
What if there were no significance testing? This was the question faced by early researchers at the ...
The role of P-values for null hypothesis testing is under debate. We aim to explore the impact of th...
Decisions about support for therapies in light of data are made using statistical inference. The dom...
Background: Null Hypothesis Significance Testing (NHST) is the most familiar statistical procedure f...
Null hypothesis significance testing (NHST) is arguably the mosl widely used approach to hypothesis ...
Problemification: Over-reliance on null hypothesis significance testing (NHST) is one of the most im...