Track topics on Twitter Track topics that are important to you
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
To explain statistical significance and clinical meaningfulness and to provide guidance in evaluating the clinical meaningfulness of a study.
The aim of this study is to validate a training model which combines the use of non-biological and biological simulators as well as live porcine animal model in retrograde intrarenal endoscopic surger...
For examining the intricate biological processes concerned with colorectal cancer (CRC), a systems biology approach integrating several biological components and other influencing factors is essential...
The statistical portion is a vital component of any research study. The research methodology and the application of statistical tools and techniques have evolved over the years and have significantly ...
This review identifies 10 common errors and problems in the statistical analysis, design, interpretation, and reporting of obesity research and discuss how they can be avoided. The 10 topics are: 1) m...
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...
Radiation pneumonitis is the most common complication and the major dose-limiting toxicity associated with radiotherapy, which can cause poor quality of life or life-threatening symptoms a...
Introduction: immersion cold water is a recuperative strategy commonly used, however, are not yet fully understood the real effects of this technique on specific conditions. Objective: To ...
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...
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.
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...