Regression model using Generalized Linear equation (age, ethnicity, primary language, location, and insurance status) on preventive dental services utilization.

Regression model using Generalized Linear equation (age, ethnicity, primary language, location, and insurance status) on preventive dental services utilization.

<p>Regression model using Generalized Linear equation (age, ethnicity, primary language, location, and insurance status) on preventive dental services utilization.</p>

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Detalles Bibliográficos
Autor principal: Anubhuti Shukla (12152228) (author)
Otros Autores: Bhavya Vaishnavi Amrutham (22676313) (author), Sheetal Manchanda (16951417) (author)
Publicado: 2025
Materias:
Biotechnology
Evolutionary Biology
Science Policy
Virology
Biological Sciences not elsewhere classified
urban zip code
preventive dental services
year dental students
younger age group
older age group
indiana university school
xlink "> inequities
demographic variables among
based clinical rotations
indiana </ p
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identified among
demographic characteristics
d4 students
via redcap
underserved population
study utilizes
private practices
multicultural ethnicities
insurance status
every patient
descriptive statistics
72 ).
17 years
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Sumario:<p>Regression model using Generalized Linear equation (age, ethnicity, primary language, location, and insurance status) on preventive dental services utilization.</p>

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