Related Papers
Statistics in Medicine
Comparison of two tests useful in situations where treatment is expected to increase variability relative to controls
1993 •
said alamri
Measuring magnitude of treatment effects in agricultural experiments
Dr. Dennis A Apuan
The estimation of treatment effect is an aspect of data analysis in agricultural experiments that is neglected. Such an effect size value cannot be determined through the usual Null Hypothesis Significant Testing (NHST) in agricultural research. Thus, the current study aimed to describe the foundation supporting the estimation and reporting of effect size. In the re-analysis of two unpublished data sets concerning the effects of four feeding treatments of Madre de Agua (Trichanthera gigantea) on the average final weight of pigs and on the feed cost per pig, effect sizes of treatments were measured following the omega squared algorithm procedure. This algorithm is based on the ratio of variances, which result is a unit less measure on the magnitude of treatment effect. Results of re-analysis successfully estimated the magnitude of effect equivalent to ω2=.08 or 8 % for the average final weight of pigs and ω2 = .9911 or 99.11 % for the feed cost per pig. These treatment effects are considered large based on the previously reported standards, and therefore substantial and appropriate recommendation may be given. The importance, implications and practical application of this effect size measure are discussed. Key Words: Agriculture, data analysis, analysis of variance, effect size, null hypothesis testing.
Journal of Nutrition
Dietary Reference Intakes for Zinc May Require Adjustment for Phytate Intake Based upon Model Predictions
2008 •
Leland Miller
Epidemiology
On the Importance of Using Multiple Methods of Dietary Assessment
2004 •
Kathryn Hollenbach
Nutrition Journal
Application and interpretation of multiple statistical tests to evaluate validity of dietary intake assessment methods
2015 •
Martani Lombard
Comparisons of treatments after an analysis of variance in ecology
1989 •
N Quinn
Journal of Agricultural and Food Chemistry
Biostatistical Options for Quantitative Diet Analysis
2018 •
syed mudabir bukhari
Analysis Statistics in Practical Problems of Food Health
European Scientific Journal ESJ
This study aimed at the application of dietary supplementation in elderly people and, after a period, to prepare a statistical diagnosis of before and after some dimensional information to verify the great influence of diet in these patients. In order to do so, statistical analyzes were used, which are important tools that allow us to perceive the transformations in different chronological periods. As a result, it was possible to verify the history of the patients that were being altered in the last months by the new food supplement implanted, having a statistical explanation besides the nutritional one. However, care has been taken to demonstrate how misunderstanding can hamper interpretation and originate erroneous information from work.
Journal of Applied Mathematics and Decision Sciences
A two-stage procedure on comparing several experimental treatments and a control—the common and unknown variance case
2005 •
pinyuen chen
This paper introduces a two-stage selection rule to compare several experimental treatments with a control when the variances are common and unknown. The selection rule integrates the indifference zone approach and the subset selection approach in multiple-decision theory. Two mutually exclusive subsets of the parameter space are defined, one is called the preference zone (PZ) and the other, the indifference zone (IZ). The best experimental treatment is defined to be the experimental treatment with the largest population mean. The selection procedure opts to select only the experimental treatment which corresponds to the largest sample mean when the parameters are in the PZ, and selects a subset of the experimental treatments and the control when the parameters fall in the IZ. The concept of a correct decision is defined differently in these two zones. A correct decision in the preference zone (CD1) is defined to be the event that the best experimental treatment is selected. In the ...
PloS one
Hypothesis Testing of Inclusion of the Tolerance Interval for the Assessment of Food Safety
2015 •
Hirohisa Kishino
In the testing of food quality and safety, we contrast the contents of the newly proposed food (genetically modified food) against those of conventional foods. Because the contents vary largely between crop varieties and production environments, we propose a two-sample test of substantial equivalence that examines the inclusion of the tolerance intervals of the two populations, the population of the contents of the proposed food, which we call the target population, and the population of the contents of the conventional food, which we call the reference population. Rejection of the test hypothesis guarantees that the contents of the proposed foods essentially do not include outliers in the population of the contents of the conventional food. The existing tolerance interval (TI0) is constructed to have at least a pre-specified level of the coverage probability. Here, we newly introduce the complementary tolerance interval (TI1) that is guaranteed to have at most a pre-specified level...
