An understanding of the basic principles of statistical analysis is vital before commencing research. This article aims to provide a concise overview of this extensive subject, highlighting the important concepts. Statistical analysis should be considered at the planning stage of any study so as to ...
Statistical Tests in Medical Research 来自 ResearchGate 喜欢 0 阅读量: 21 作者: Jacques Jamart 摘要: Various propositions have been made to improve the statistical quality of medical journals: using statistical referees, promoting better collaboration between statisticians and researchers, and teaching of...
100 Statistical Tests in R is designed to give you rapid access to one hundred of the most popular statistical tests. It shows you, step by step, how to carry out these tests in the free and popular R statistical package. The book was created for the applied researcher whose primary focus...
Calculations of the power of statistical tests are important in planning research studies (including meta-analyses) and in interpreting situations in which a result has not proven to be statistically significant. The authors describe procedures to compute statistical power of fixed- and random-effects ...
METHODOLOGY IN CLINICAL RESEARCH : RESEARCH DESIGN AND STATISTICAL ANALYSIS This article highlights some basic principles of the design and use of statistical tests, using a minimum of mathematics or statistical jargon. It is not t... 三宅,由子 - 医療 = Japanese journal of National Medical Servic...
Such tests purport to separate people with disease from people without. Minimal criteria fo... WJ Rogan,B Gladen - 《American Journal of Epidemiology》 被引量: 924发表: 1978年 Twelve Month Prevalence of and Risk Factors for Suicide Attempts in the WHO World Mental Health Surveys OBJECTIVE: ...
Concerning educational research, the American Educational Research Association (AERA, 2006) recommends that research statistical results include a size effect of any type as well as the respective confidence intervals, and the in case of a hypothesis evaluation, the respective statistical tests. ...
Logistic regressionpredicts and classifies the research problem. Logistic regression helps identify data anomalies, which could be predictive fraud. 1.2. Comparison Tests Comparison tests determine the differences among the group means. They can be used to test the effect of a categorical variable on ...
These assumptions should be taken seriously to draw reliable interpretation and conclusions of the research. These tests - correlation, t-test and ANOVA - are called parametric tests, because their validity depends on the distribution of the data. Before using parametric test, we should perform some...