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Statistical ideas behind the analysis of experiments related to crop composition and the genetic factors underlying composition are discussed. The emphasis is on concepts rather than statistical formulations. Statistical analysis and biological considerations are shown to be complementary rather than contradictory, in that the statistical analysis of a dataset depends on the experimental design, that no amount of statistical sophistication can rescue a badly designed study, and good experimental design is crucial. The traditional null hypothesis significance testing approach has severe limitations but p values and statistical significance still often seem to be the primary objective of an analysis. Emphasis instead should be on identifying the size of effects that are biologically important and, with the involvement of the "domain" scientist, using these to help design experiments with appropriate sample sizes and statistical power. The issues discussed here are also directly applicable to other areas of research.
This article was published in the following journal.
Name: Journal of agricultural and food chemistry
Assigning statistical significance accurately has become increasingly important as meta data of many types, often assembled in hierarchies, are constructed and combined for further biological analyses...
Meta-analysis multiplicity, the concept of conducting multiple tests of statistical significance within one review, is an underdeveloped literature. We address this issue by considering how Type I err...
Objective-To determine the perceived importance of specific competencies in professional veterinary practice and education among veterinarians in several countries. Design-Survey-based prospective stu...
Our goal in this paper is to articulate a precise concept of at least a certain kind of disease-mongering, showing how pharmaceutical marketing can commercially exploit certain diseases when their bes...
This article emphasizes on the importance of benzofuran as a biologically relevant heterocycle. It covers most of the physiologically as well as medicinally important compounds containing benzofuran r...
Psoriasis is a multifactorial cutaneous disorders which affects about 100000 patients in Taiwan. Psoriatic arthritis is also present in about 20~30 percents. Many drugs have been shown to ...
1. Purpose and Objective: To determine the feasibility and short- and long-term efficacy of an empirically-based CST intervention (Keefe et al.) with caregivers of patients with...
To determine the ability of the Cimmunology process to lead to in vitro antibody production, the ability of the ELISA assays to detect any of those antibodies, and to establish the relatio...
Aims: To test the hypothesis that Diastolic dysfunction severity correlates with adverse clinical outcome in patients with systolic heart failure.
The significance of our study is in the importance of understanding the quality and quantity of proteins in the human tear film from diseased and non-diseased patients. This pilot study w...
Biological systems as affected by time. Aging, biological rhythms, and cyclic phenomena are included. Statistical, computer-aided mathematical procedures are used to describe, in mathematical terminology, various biological functions over time.
A multidisciplinary field of research and practice studying the periodicity of biological systems and the application of principles of chronobiology to various therapeutic strategies. Aging, biological rhythms, and cyclic phenomena are included. Statistical, computer-aided mathematical procedures are used to describe, in mathematical terminology, various biological functions over time.
The use of statistical and mathematical methods to analyze biological observations and phenomena.
Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters used in the analysis. Examples of statistical models are the linear model, binomial model, polynomial model, two-parameter model, etc.
Application of statistical procedures to analyze specific observed or assumed facts from a particular study.
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Biological therapy involves the use of living organisms, substances derived from living organisms, or laboratory-produced versions of such substances to treat disease. Some biological therapies for cancer use vaccines or bacteria to stimulate the body&rs...