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>

-д хадгалсан:

Номзүйн дэлгэрэнгүй
Үндсэн зохиолч:	Anubhuti Shukla (12152228) (author)
Бусад зохиолчид:	Bhavya Vaishnavi Amrutham (22676313) (author), Sheetal Manchanda (16951417) (author)
Хэвлэсэн:	2025
Нөхцлүүд:	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
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!

Ижил төстэй зүйлс

Utilization of preventive dental services according to the demographic characteristics.
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2019-2024 reg.
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Data from Dehydration Unifies Mineralization and Nano-deposition Bonding Strategies
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Table 1_Clinical effectiveness of ion-releasing restorations compared to composite restorations in pediatric dental treatments: a systematic review and meta-analysis.docx
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Table S1. Isometric handgrip force-matched participant demographics and LV morphology.
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Table 1_A community-based, medical student-led walking and education program was associated with a reduction in frailty levels among adults with elevated frailty.docx
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Multivariable binary logistic regression model for associated factors with <i>Mycobacterium leprae</i> infection Kwale county, Kenya.
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Household and environmental characteristics of study participants, Kwale county Kenya (n = 260).
-н: Vallerian Karani (22683596)
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Behavioral and socio-cultural characteristics of the study Participant, Kwale county Kenya.
-н: Vallerian Karani (22683596)
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Social-demographic and clinical characteristics of the study participants, Kenya.
-н: Vallerian Karani (22683596)
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Supplementary file 1_Global burden of ischemic heart disease due to omega-3 deficiency: 204-country analysis, 1990–2021.docx
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Relative bias of the App-results.
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Subject recruitment and Dropouts.
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Bland-Altman-Plots for the difference between App and 24-hour-recall on Days 1, 2, 3 and the mean over the three days for ‘Beverages’.
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Bland-Altman-Plots for the difference between App and 24-hour-recall on Days 1, 2, 3 and the mean over the three days for ‘Fats and oils’.
-н: Jette Hinrichsen (22683252)
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Bland-Altman-Plots for the difference between App and 24-hour-recall on Days 1, 2, 3 and the mean over the three days for ‘Meat, sausage, fish and egg’.
-н: Jette Hinrichsen (22683252)
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Bland-Altman-Plots for the difference between App and 24-hour-recall on Days 1, 2, 3 and the mean over the three days for ‘Milk and dairy’.
-н: Jette Hinrichsen (22683252)
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Bland-Altman-Plots for the difference between App and 24-hour-recall on Days 1, 2, 3 and the mean over the three days for ‘Fruit and fruit juice’.
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Хэвлэсэн: (2025)

Bland-Altman-Plots for the difference between App and 24-hour-recall on Days 1, 2, 3 and the mean over the three days for ‘Vegetables and salad’.
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Хэвлэсэн: (2025)

Bland-Altman-Plots for the difference between App and 24-hour-recall on Days 1, 2, 3 and the mean over the three days for ‘Grain, grain products and potatoes’.
-н: Jette Hinrichsen (22683252)
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Bland-Altman-Plots for the difference between App and 24-hour-recall on Days 1, 2, 3 and the mean over the three days for fat.
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Bland-Altman-Plots for the difference between App and 24-hour-recall on Days 1, 2, 3 and the mean over the three days for carbohydrates.
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Хэвлэсэн: (2025)

Bland-Altman-Plots for the difference between App and 24-hour-recall on Days 1, 2, 3 and the mean over the three days for protein.
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Хэвлэсэн: (2025)

Bland-Altman-Plots for the difference between App and 24-hour-recall on Days 1, 2, 3 and the mean over the three days for calories.
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Questionnaire of the article titled "Responsible practices and ethical behaviors in the use of artificial intelligence among university students"
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Flowchart of study procedures.
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Data Sheet 1_Exploring the stroke burden linked to Kidney dysfunction: trends, predictive insights, and health inequalities.pdf
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<b>Demographic History and </b><b>Natural Selection</b><b> Regimes Shape Divergent Genomic Architectures in Two Endangered Island Oaks</b>
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Data Sheet 1_Transcultural adaptation and psychometric evaluation of the Chinese version of attitude and confidence with oral healthcare among nursing students scale: a cross-sectional survey in China.pdf
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USDA Forest Service employee demographic data for diversity and inclusion analysis, 1995-2017
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Data Sheet 1_Self-assessed vs. reported digital competence among health students in Germany, Ukraine and Kazakhstan: a DigComp 2.2–based cross-sectional study.csv
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Data Sheet 2_Self-assessed vs. reported digital competence among health students in Germany, Ukraine and Kazakhstan: a DigComp 2.2–based cross-sectional study.pdf
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Хэвлэсэн: (2025)

Table 1_Self-assessed vs. reported digital competence among health students in Germany, Ukraine and Kazakhstan: a DigComp 2.2–based cross-sectional study.xlsx
-н: Tom Schaal (4107358)
Хэвлэсэн: (2025)

Table 2_Self-assessed vs. reported digital competence among health students in Germany, Ukraine and Kazakhstan: a DigComp 2.2–based cross-sectional study.xlsx
-н: Tom Schaal (4107358)
Хэвлэсэн: (2025)

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