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1、数据库的建立:通过EpiD ata设计和建立数据库,提高数据录入效率,降低错误率。2、数据清洗:包括原始数据的整理、赋值,异常值的识别,缺失值的填补。3、统计描述和假设检验:根据数据类型进行数据描述,制作统计图标;根据研究目的,采用恰当的统计学方法,基本统计学方法有t检验、方差分析、χ2检验、相关分析、非参数检验,高级统计学方法有重复测量方差分析、协方差分析、多元线性回归分析、生存分析、判别分析、
1, the establishment of the database: By EpiD ata design and establishment of a database to improve data entry efficiency and reduce the error rate. 2, data cleaning: including the collation of the original data, assignment, identification of outliers, missing values to fill. Statistical description and hypothesis test: According to the type of data, describe the production of statistical icons; According to the purpose of the study, using appropriate statistical methods, the basic statistical methods t test, variance analysis, χ2 test, correlation analysis, nonparametric test , Advanced statistical methods include repeated measures analysis of variance, covariance analysis, multiple linear regression analysis, survival analysis, discriminant analysis,