Factors affecting LLINs usage at household level. by Job Oyweri (22041452)

“…Logistic regression was used to identify factors influencing net ownership and malaria prevalence, while a generalized linear model assessed factors affecting net usage. …”

Net usage across intervention arms. by Job Oyweri (22041452)

“…Logistic regression was used to identify factors influencing net ownership and malaria prevalence, while a generalized linear model assessed factors affecting net usage. …”

Factors associated with malaria infection. by Job Oyweri (22041452)

“…Logistic regression was used to identify factors influencing net ownership and malaria prevalence, while a generalized linear model assessed factors affecting net usage. …”

Table 3_Associations between vitamin K and systemic immune and inflammation biomarkers: a population-based study from the NHANES (2007–2020).docx by Wenjiao Luo (1805428)

“…When the level of vitamin K intake was less than 237.7 mcg/d, RAR showed a significant decreasing trend with the increase of vitamin K. …”

Image 5_The global, regional, and national alcohol-related colorectal cancer burden and forecasted trends: results from the global burden of disease study 2021.tif by Jinfeng Yao (2200615)

“…Temporal trends in the burden of disease from 1990 to 2021 were analyzed through linear regression models. Finally, both Age-Period-Cohort (APC) models and Bayesian Age-Period-Cohort (BAPC) models were utilized to project the future burden of the disease for 2022–2046.…”

Table 4_The global, regional, and national alcohol-related colorectal cancer burden and forecasted trends: results from the global burden of disease study 2021.docx by Jinfeng Yao (2200615)

“…Temporal trends in the burden of disease from 1990 to 2021 were analyzed through linear regression models. Finally, both Age-Period-Cohort (APC) models and Bayesian Age-Period-Cohort (BAPC) models were utilized to project the future burden of the disease for 2022–2046.…”

Image 1_The global, regional, and national alcohol-related colorectal cancer burden and forecasted trends: results from the global burden of disease study 2021.tif by Jinfeng Yao (2200615)

“…Temporal trends in the burden of disease from 1990 to 2021 were analyzed through linear regression models. Finally, both Age-Period-Cohort (APC) models and Bayesian Age-Period-Cohort (BAPC) models were utilized to project the future burden of the disease for 2022–2046.…”

Data_Sheet_10_Global burden of multiple sclerosis and its attributable risk factors, 1990–2019.PDF by Saeid Safiri (3713035)

“…At the regional level, a non-linear relationship was observed between the age-standardized DALY rate of MS and SDI.…”

Data_Sheet_2_Global burden of multiple sclerosis and its attributable risk factors, 1990–2019.PDF by Saeid Safiri (3713035)

“…At the regional level, a non-linear relationship was observed between the age-standardized DALY rate of MS and SDI.…”

Data_Sheet_14_Global burden of multiple sclerosis and its attributable risk factors, 1990–2019.PDF by Saeid Safiri (3713035)

“…At the regional level, a non-linear relationship was observed between the age-standardized DALY rate of MS and SDI.…”

Table 1_Association between social phobia and allergic asthma in adolescents.docx by Shuang Han (1549951)

“…Multivariate logistic or linear regression analyses were used to evaluate the associations between social phobia-related variables and asthma-related variables.…”

Image 3_The global, regional, and national alcohol-related colorectal cancer burden and forecasted trends: results from the global burden of disease study 2021.tif by Jinfeng Yao (2200615)

“…Temporal trends in the burden of disease from 1990 to 2021 were analyzed through linear regression models. Finally, both Age-Period-Cohort (APC) models and Bayesian Age-Period-Cohort (BAPC) models were utilized to project the future burden of the disease for 2022–2046.…”

Image_1_Global burden of multiple sclerosis and its attributable risk factors, 1990–2019.JPEG by Saeid Safiri (3713035)

“…At the regional level, a non-linear relationship was observed between the age-standardized DALY rate of MS and SDI.…”

Data_Sheet_12_Global burden of multiple sclerosis and its attributable risk factors, 1990–2019.PDF by Saeid Safiri (3713035)

“…At the regional level, a non-linear relationship was observed between the age-standardized DALY rate of MS and SDI.…”

Image 1_Associations between vitamin K and systemic immune and inflammation biomarkers: a population-based study from the NHANES (2007–2020).pdf by Wenjiao Luo (1805428)

“…When the level of vitamin K intake was less than 237.7 mcg/d, RAR showed a significant decreasing trend with the increase of vitamin K. …”

Table_1_Global burden of multiple sclerosis and its attributable risk factors, 1990–2019.DOC by Saeid Safiri (3713035)

“…At the regional level, a non-linear relationship was observed between the age-standardized DALY rate of MS and SDI.…”

Table 2_The global, regional, and national alcohol-related colorectal cancer burden and forecasted trends: results from the global burden of disease study 2021.csv by Jinfeng Yao (2200615)

“…Temporal trends in the burden of disease from 1990 to 2021 were analyzed through linear regression models. Finally, both Age-Period-Cohort (APC) models and Bayesian Age-Period-Cohort (BAPC) models were utilized to project the future burden of the disease for 2022–2046.…”

DataSheet1_Diverse responses of hypoxia-inducible factor alpha mRNA abundance in fish exposed to low oxygen: the importance of reporting methods.CSV by Taylor E. Murphy (19800534)

“…<p>Low dissolved oxygen (hypoxia) poses significant challenges to aquatic ecosystems, affecting the behavior, reproduction, and survival of aquatic organisms. …”

Data_Sheet_3_Global burden of multiple sclerosis and its attributable risk factors, 1990–2019.PDF by Saeid Safiri (3713035)

“…At the regional level, a non-linear relationship was observed between the age-standardized DALY rate of MS and SDI.…”

Improving genomic prediction for plant disease using environmental covariates by Charlotte Brault (22078544)

“…Here, we computed the environment index as a linear combination of environmental covariates specific to each environment, and we derived an environment relationship matrix. …”