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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2025
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| _version_ | 1849927643646918656 |
|---|---|
| author | Anubhuti Shukla (12152228) |
| author2 | Bhavya Vaishnavi Amrutham (22676313) Sheetal Manchanda (16951417) |
| author2_role | author author |
| author_facet | Anubhuti Shukla (12152228) Bhavya Vaishnavi Amrutham (22676313) Sheetal Manchanda (16951417) |
| author_role | author |
| dc.creator.none.fl_str_mv | Anubhuti Shukla (12152228) Bhavya Vaishnavi Amrutham (22676313) Sheetal Manchanda (16951417) |
| dc.date.none.fl_str_mv | 2025-11-24T18:23:56Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0337471.t002 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/dataset/Regression_model_using_Generalized_Linear_equation_age_ethnicity_primary_language_location_and_insurance_status_on_preventive_dental_services_utilization_/30696579 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | 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 xlink "> 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 &# 8221 &# 8220 |
| dc.title.none.fl_str_mv | Regression model using Generalized Linear equation (age, ethnicity, primary language, location, and insurance status) on preventive dental services utilization. |
| dc.type.none.fl_str_mv | Dataset info:eu-repo/semantics/publishedVersion dataset |
| description | <p>Regression model using Generalized Linear equation (age, ethnicity, primary language, location, and insurance status) on preventive dental services utilization.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_70cac54c8ee3463e1d6357aa6e7c08ee |
| identifier_str_mv | 10.1371/journal.pone.0337471.t002 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/30696579 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Regression model using Generalized Linear equation (age, ethnicity, primary language, location, and insurance status) on preventive dental services utilization.Anubhuti Shukla (12152228)Bhavya Vaishnavi Amrutham (22676313)Sheetal Manchanda (16951417)BiotechnologyEvolutionary BiologyScience PolicyVirologyBiological Sciences not elsewhere classifiedurban zip codepreventive dental servicesyear dental studentsyounger age groupolder age groupindiana university schoolxlink "> inequitiesdemographic variables amongbased clinical rotationsindiana </ pxlink ">identified amongdemographic characteristicsd4 studentsvia redcapunderserved populationstudy utilizesprivate practicesmulticultural ethnicitiesinsurance statusevery patientdescriptive statistics72 ).17 years&# 8221&# 8220<p>Regression model using Generalized Linear equation (age, ethnicity, primary language, location, and insurance status) on preventive dental services utilization.</p>2025-11-24T18:23:56ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.1371/journal.pone.0337471.t002https://figshare.com/articles/dataset/Regression_model_using_Generalized_Linear_equation_age_ethnicity_primary_language_location_and_insurance_status_on_preventive_dental_services_utilization_/30696579CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/306965792025-11-24T18:23:56Z |
| spellingShingle | Regression model using Generalized Linear equation (age, ethnicity, primary language, location, and insurance status) on preventive dental services utilization. Anubhuti Shukla (12152228) 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 xlink "> 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 &# 8221 &# 8220 |
| status_str | publishedVersion |
| title | Regression model using Generalized Linear equation (age, ethnicity, primary language, location, and insurance status) on preventive dental services utilization. |
| title_full | Regression model using Generalized Linear equation (age, ethnicity, primary language, location, and insurance status) on preventive dental services utilization. |
| title_fullStr | Regression model using Generalized Linear equation (age, ethnicity, primary language, location, and insurance status) on preventive dental services utilization. |
| title_full_unstemmed | Regression model using Generalized Linear equation (age, ethnicity, primary language, location, and insurance status) on preventive dental services utilization. |
| title_short | Regression model using Generalized Linear equation (age, ethnicity, primary language, location, and insurance status) on preventive dental services utilization. |
| title_sort | Regression model using Generalized Linear equation (age, ethnicity, primary language, location, and insurance status) on preventive dental services utilization. |
| topic | 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 xlink "> 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 &# 8221 &# 8220 |