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Type I Error Control for Tree Classification [PDF]
Binary tree classification has been useful for classifying the whole population based on the levels of outcome variable that is associated with chosen predictors.
Sin-Ho Jung, Yong Chen, Hongshik Ahn
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Type I error control for cluster randomized trials under varying small sample structures [PDF]
Background Linear mixed models (LMM) are a common approach to analyzing data from cluster randomized trials (CRTs). Inference on parameters can be performed via Wald tests or likelihood ratio tests (LRT), but both approaches may give incorrect Type I ...
Joshua R. Nugent, Ken P. Kleinman
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Hypothesis testing, type I and type II errors
Hypothesis testing is an important activity of empirical research and evidence-based medicine. A well worked up hypothesis is half the answer to the research question.
Amitav Banerjee +4 more
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Methods for nonparametric statistics in scientific research. Overview. Part 2
The use of nonparametric methods in scientific research provides a number of advantages. The most important of these advantages are versatility and a wide range of such methods.
M. A. Nikitina, I. M. Chernukha
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Requirements for Minimum Sample Size for Sensitivity and Specificity Analysis [PDF]
Sensitivity and specificity analysis is commonly used for screening and diagnostic tests. The main issue researchers face is to determine the sufficient sample sizes that are related with screening and diagnostic studies. Although the formula for sample
Mohamad Adam Bujang, Tassha Hilda Adnan
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Monte Carlo simulation of OLS and linear mixed model inference of phenotypic effects on gene expression [PDF]
Background Self-contained tests estimate and test the association between a phenotype and mean expression level in a gene set defined a priori. Many self-contained gene set analysis methods have been developed but the performance of these methods for ...
Jeffrey A. Walker
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Type I error and power rates: A comparative analysis of techniques in differential item functioning
The main purpose of this study is to examine the Type I error and statistical power ratios of Differential Item Functioning (DIF) techniques based on different theories under different conditions.
Bayram Bıçak +1 more
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Why Welchs test is Type I error robust [PDF]
The comparison of two means is one of the most commonly applied statistical procedures in psychology. The independent samples t-test corrected for unequal variances is commonly known as Welchs test, and is widely considered to be a robust alternative to
Derrick, B., White, P.
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Los gráficos de control son ampliamente usados para monitorizar la calidad de procesos industriales. Tradicionalmente se asume que la variable aleatoria que representa la característica de calidad se distribuye de forma normal y los límites de control se
Moya Fernández, Pablo +2 more
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Statistical hypothesis testing: general approach in medical research
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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