Introduction to Stata - Software for Statistical Data Analysis
Datos Bibliográficos
| ID | 5968699 |
|---|---|
| Autores | Tatiana N Unguryanu (0000-0001-8936-7324), A M Grjibovski, Andrej М Grjibovski (0000-0002-5464-0498) |
| Año | 2014 |
| Volumen | 21 |
| Número | 1 |
| Páginas | 60-63 |
| Fecha de publicación | 2014-01-15 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Ekologiya Cheloveka (Human Ecology (JOURNAL) |
| Identificadores de la revista | ISSN: 1728-0869 • E-ISSN: 2949-1444 |
| Editorial | ECO-Vector LLC (PUBLISHER • RU) |
| DOI | 10.17816/humeco17275 |
| OpenAlex | W4297765295 |
| Idioma | EN |
| Citas recibidas | 1 |
This is the first article of the series of publications in the Human Ecology journal on biostatistics using STATA software. Earlier series of methodological papers published in 2008 was adapted to SPSS software. However, the price for SPSS in Russia considerably increased in recent years that led to the fact that many institutions switch from SPSS to STATA. It is worth mentioning that STATA is as popular as SPSS in European universities and research institutions. Moreover, STATA has a broader range of advanced methods of data analysis. The authors are not aware of Russian textbooks on the use of STATA in biomedical research. This series is an attempt for a manual for Russian biomedical researchers on how to use STATA software
Biostatistics · Data science · Statistical software · Computer Science · Data Analysis with R · Medicine · Software
| Obras citantes distintas | 1 |
|---|---|
| Citas por año | 0,25 |
| Intervalo de citas | 2022 - 2022 (1) |
| Velocidad de citación | historical |
| Altamente citado | No |
| Tipos de cita | Neutras: 1 |