Introduction to Research Statistical Analysis: An Overview of the Basics.
| Autor: | Vandever C; HCA Healthcare Graduate Medical Education. |
|---|---|
| Jazyk: | angličtina |
| Zdroj: | HCA healthcare journal of medicine [HCA Healthc J Med] 2020 Apr 28; Vol. 1 (2), pp. 71-75. Date of Electronic Publication: 2020 Apr 28 (Print Publication: 2020). |
| DOI: | 10.36518/2689-0216.1062 |
| Abstrakt: | Description This article covers many statistical ideas essential to research statistical analysis. Sample size is explained through the concepts of statistical significance level and power. Variable types and definitions are included to clarify necessities for how the analysis will be interpreted. Categorical and quantitative variable types are defined, as well as response and predictor variables. Statistical tests described include t-tests, ANOVA and chi-square tests. Multiple regression is also explored for both logistic and linear regression. Finally, the most common statistics produced by these methods are explored. Competing Interests: Conflicts of Interest The author declares he has no conflicts of interest. (© 2020 HCA Physician Services, Inc. d/b/a Emerald Medical Education.) |
| Databáze: | MEDLINE |
| Externí odkaz: |
|