Selection and application of statistical methods in medical research
10.19428/j.cnki.sjpm.2023.22771
- VernacularTitle:医学研究中常见统计分析方法的应用
- Author:
Huixian ZENG
1
;
Zhiyu YANG
1
;
Donghong LIU
2
;
Ruihua WANG
1
;
Hongsen CHEN
3
;
Hongwei ZHANG
3
;
Xiaojie TAN
3
;
Ping LI
3
;
Guangwen CAO
1
Author Information
1. Department of Epidemiology, School of Basic Medical Science, Jinan University, Guangzhou, Guangdong 510632, China
2. Department of Hepatic Surgery, the 3rd Hospital Affilliated to Naval Medical University, Shanghai 200433, China
3. Department of Epidemiology, Naval Medical University, Shanghai 200433, China
- Publication Type:Journal Article
- Keywords:
descriptive statistics;
parametric test;
nonparametric test;
correlation analysis;
regression analysis;
survival analysis
- From:
Shanghai Journal of Preventive Medicine
2023;35(8):831-839
- CountryChina
- Language:Chinese
-
Abstract:
Statistics plays an important role in medical research， and the selection of appropriate statistical methods is crucial for drawing reliable and valuable conclusions. This paper provides a brief introduction to commonly used statistical analysis methods for medical data， covering descriptive analysis， parametric test， nonparametric test， correlation analysis， regression analysis， and analysis of survival data. It focuses on discussing the assumptions of multiple linear regression， logistic regression and Cox proportional risk regression， as well as how to choose the appropriate statistical methods for analyzing and interpreting medical data based on different research objectives and data types.
