Background & objective Regarding the importance of histologic examination of testicular biopsy for clinical planning of infertility, the current study was conducted to compare 2 separate histologic examination of testicular biopsy. Also, some cases with known fertility outcome were followed and their histological patterns were also compared with those of the outcome. Methods The current study...

Analysis of variance (ANOVA), the workhorse analysis of experimental designs, consists of F-tests of main effects and interactions. Yet, testing, including traditional ANOVA, has been recently critiqued on a number of theoretical and practical grounds. In light of these critiques, model comparison and model selection serve as an attractive alternative. Model comparison differs from testing in t...

One of the hallmarks of statistical thinking is the importance of measuring and understanding variability. The Shewhart Control Chart, which separates special cause from common cause variation, is one of the most important tools for understanding the current state of a process. The analysis of variance (ANOVA) is another statistical tool for splitting variability into component sources. These c...

Stroke and heart disease are among the most com-mon outcomes of hypertension. Each year, disease, stroke, other cardiovascular disorders claim lives more than 877,500 people in United States, making them first fifth leading causes death, so being able to pre- dict early helps save lives. A lot research has been done reach this goal. Machine learning models mostly used for purpose. For time stud...

analysis of variance (ANOVA): one-way nested, hierarchical two-way linear model fixed, random, and mixed models factorial arrangement of treatments variance components sum of squares, mean square, expected mean square sampling fraction, fixed effects, random effects simple effects, main effects, interaction effects, additive effects analysis of covariance, covariate, concomitant variable data t...

Several permutation strategies are often possible for tests of individual terms in analysis-of-variance (ANOVA) designs. These include restricted permutations, permutation of whole groups of units, permutation of some form of residuals or some combination of these. It is unclear, especially for complex designs involving random factors, mixed models or nested hierarchies, just which permutation ...