Anatoly N Varaksin
Biographic Data
| ID | 3814745 |
|---|---|
| NAME | Anatoly N Varaksin |
| GIVEN NAMES | Anatoly N |
| FAMILY NAME | Varaksin |
| SIGNATURE | VARAKSIN A N |
| AFFILIATIONS | Institute of Industrial Ecology |
| ORCID | 0000-0003-2689-3006 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Application of logistic regression in epidemiology
Background: Logistic regression is the most commonly used method for establishing statistical relationships between quantitative predictors X and a dichotomous response Y (Y=0 or Y=1). Therefore, it is relevant to develop new approaches to the analysis of relationships between X and Y of this type.Aim: To demonstrate the specific characteristics of the application of stratification, moving average and cumulative probability function methods in th…
An Analysis of the Links between Smoking and BMI in Adolescents
Significant differences were discovered in the diet between smokers and non-smokers (among adolescent boys), and smoking was associated with several indicators of unhealthy diet patterns. This is an important conclusion for developing a future program that could additionally protect at-risk groups of adolescents
No prominent works on this page.
An Analysis of the Links between Smoking and BMI in Adolescents
Significant differences were discovered in the diet between smokers and non-smokers (among adolescent boys), and smoking was associated with several indicators of unhealthy diet patterns. This is an important conclusion for developing a future program that could additionally protect at-risk groups of adolescents
Application of logistic regression in epidemiology
Background: Logistic regression is the most commonly used method for establishing statistical relationships between quantitative predictors X and a dichotomous response Y (Y=0 or Y=1). Therefore, it is relevant to develop new approaches to the analysis of relationships between X and Y of this type.Aim: To demonstrate the specific characteristics of the application of stratification, moving average and cumulative probability function methods in th…
Internal Medicine (2 works) · Mathematics (2 works) · Medicine (2 works) · Biology (1 work) · Body mass index (1 work) · Cardiovascular Health and Risk Factors (1 work) · Complementary and Alternative Medicine Studies (1 work) · Demography (1 work) · Demography (1 work) · Descriptive statistics (1 work)