2022
DOI: 10.36416/1806-3756/e20220439
|View full text |Cite
|
Sign up to set email alerts
|

Linear and logistic regression models: when to use and how to interpret them?

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
2
0
1

Year Published

2023
2023
2024
2024

Publication Types

Select...
7

Relationship

0
7

Authors

Journals

citations
Cited by 7 publications
(7 citation statements)
references
References 2 publications
0
2
0
1
Order By: Relevance
“…Furthermore, it is important to mention that in the present study, even when the participants from the control group were significantly younger than participants of ACS and CVRF groups, this difference between the groups were statistically adjusted by multiple regression analysis. This adjustment allowed to evaluate the effect of each variable on the result independently; therefore, this variation did not affect the finding of association [ 39 ]. Also, a strength of the present study is that it shows that the age of ≥56 years is as associated with DELC at a similar level as its association with ACS.…”
Section: Discussionmentioning
confidence: 99%
“…Furthermore, it is important to mention that in the present study, even when the participants from the control group were significantly younger than participants of ACS and CVRF groups, this difference between the groups were statistically adjusted by multiple regression analysis. This adjustment allowed to evaluate the effect of each variable on the result independently; therefore, this variation did not affect the finding of association [ 39 ]. Also, a strength of the present study is that it shows that the age of ≥56 years is as associated with DELC at a similar level as its association with ACS.…”
Section: Discussionmentioning
confidence: 99%
“…First, we used logistic regression, as the outcome variables (psychosocial functioning difficulty and school dropouts) are categorical, and the exposure variables are a mixture of both continuous and categorical [ 18 ]. Second, to assess the relationship between independent and dependent variables, bivariable analyses were performed using χ 2 tests.…”
Section: Methodsmentioning
confidence: 99%
“…El estudio se desarrolló bajo el enfoque cuantitativo y de tipo básico, dado que, se tuvo como propósito incrementar el conocimiento científico, sin algún fin práctico inmediato (Hernández-estadístico de Nagelkerke y la estadística inferencial (Castro & Ferreira, 2022), donde al analizar las variables se determinó que alcancen un valor de significancia menor a 0.05 para validar las hipótesis.…”
Section: Metodologíaunclassified