Open AccessStatistical methods for the analyses in clinical practice. Part 2. Survival analysis and multivariate statistics
Author(s) -
P O Rumyantsev,
Vladimir Saenko,
U V Rumyantseva,
Sergey Yur'evich Chekin,
P O Rumyantsev,
Vladimir Saenko,
U V Rumyantseva,
S.Yu. Chekin
Publication year - 2009
Publication title -
problemy èndokrinologii
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.124
H-Index - 5
eISSN - 2308-1430
pISSN - 0375-9660
DOI - 10.14341/probl200955648-56
Subject(s) - univariate , multivariate analysis , multivariate statistics , descriptive statistics , statistical analysis , medical statistics , computer science , statistics , data science , medical physics , management science , data mining , medicine , mathematics , engineering
Statistical analysis is an integral component of clinical studies. The objective of the present paper is to assist clinicians in getting deeper insight into basic principles underlying different methods available for the statistical treatment of medical data without a detailed description of relevant mathematical calculations. The most popular and widely used methods of statistical analysis are considered with special reference to their practical application in clinical and experimental medicine. Part I of the review was devoted to foundations of descriptive statistics and univariate analysis. Part II is focused on the principles of survival analysis and multivariate methods.