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Statistical hypothesis testing: general approach in medical research
Сеченовский вестник, 2021 Statistical hypothesis testing is one of the key steps in modern medical research. Initially, scientists formulate a research hypothesis based on which the statistical hypothesis is then developed and statistically tested.
A. Yu. Suvorov +6 more
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Hypothesis testing based on a vector of statistics [PDF]
Journal of Econometrics, 2020 This paper presents a new approach to hypothesis testing based on a vector of statistics. It involves simulating the statistics under the null hypothesis and then estimating the joint density of the statistics. This allows the p-value of the smallest acceptance region test to be estimated.
King, Maxwell L. +2 more
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Public Health and Toxicology, 2021 Null hypothesis significance testing (NHST) text was once widely popular and almost systematically used for the identification of causal relations and for risk assessment in toxicology and medicine.
Silvio Roberto Vinceti +1 more
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Statistical Hypothesis Testing Based on Machine Learning: Large Deviations Analysis
IEEE Open Journal of Signal Processing, 2022 We study the performance of Machine Learning (ML) classification techniques. Leveraging the theory of large deviations, we provide the mathematical conditions for a ML classifier to exhibit error probabilities that vanish exponentially, say $\exp (-n\,I)$
Paolo Braca +5 more
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Discrete convolution statistic for hypothesis testing [PDF]
Communications in Statistics - Theory and Methods, 2020 The question of testing for equality in distribution between two linear models, each consisting of sums of distinct discrete independent random variables with unequal numbers of observations, has emerged from the biological research. In this case, the computation of classical $ ^2$ statistics, which would not include all observations, results in loss ...
Giulio Prevedello, Ken R. Duffy
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Statistical analysis of control quality of MPC using testing hypothesis [PDF]
MATEC Web of Conferences, 2019 Methods of the statistical induction have a significant role in the quantitative research. In a wide spectrum of research areas, the methods based on testing hypotheses have been frequently used.
Kubalcik Marek +2 more
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A Fuzzy Take on the Logical Issues of Statistical Hypothesis Testing
Philosophies, 2021 Statistical Hypothesis Testing (SHT) is a class of inference methods whereby one makes use of empirical data to test a hypothesis and often emit a judgment about whether to reject it or not. In this paper, we focus on the logical aspect of this strategy,
Matthew Booth, Fabien Paillusson
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Statistical hypothesis testing by weak-value amplification: Proposal and evaluation [PDF]
, 2015 We study the detection capability of the weak-value amplification on the basis of the statistical hypothesis testing. We propose a reasonable testing method in the physical and statistical senses to find that the weak measurement with the large weak ...
Yuki Susa, Saki Tanaka
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A logical analysis of null hypothesis significance testing using popular terminology
BMC Medical Research Methodology, 2022 Background Null Hypothesis Significance Testing (NHST) has been well criticised over the years yet remains a pillar of statistical inference. Although NHST is well described in terms of statistical models, most textbooks for non-statisticians present the
Richard McNulty
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Statistical inference: Hypothesis testing
Allergologia et Immunopathologia, 2010 The aim of statistical inference is to predict the parameters of a population, based on a sample of data. Inferential statistics encompasses the estimation of parameters and model predictions. The present article describes the hypothesis tests or statistical significance tests most commonly used in healthcare research.
S. Pérez-Vicente +2 more
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