The PL estimation result. by Zhendong Sun (4723221)

Estimation results of spatial Durbin panel data model. by Yuanzhi Guo (16624797)

Postmenopausal depression symptoms estimation network model for different physical activities. by Song Chen (69646)

Premenopausal depression symptom estimation network model for different physical activities. by Song Chen (69646)

Postmenopausal standardized estimation of different physical activity network centrality indices. by Song Chen (69646)

Premenopausal standardized estimation of different physical activity network centrality indices. by Song Chen (69646)

Estimation of network model of dichotomous depressive symptoms before and after menopause. by Song Chen (69646)

Non-linear relationship between urinary cadmium and bone mineral density from the adjusted restricted cubic splines model. by Aroon La-up (14095691)

Subjects:

Flowchart of depth estimation based on Warping transform. by Du Siqi (20721422)

Subjects:

Results of significance for regression factors. by Junxia Zhou (14381598)

“…BET and SEM analyses demonstrated that the specific surface area and porosity (most probable pore size) gradually decreased over time. At various ages, mesopores (cumulative pore diameter, median pore diameter) initially increased and then decreased. …”

Linear regression equation and concentration range of each SCFAs standard. by Shudan Liu (7049483)

Univariate analyses. by Zachary E. M. Giovannini-Green (22008277)

“…Independent variables in the analyses were: 1) age, 2) sex, 3) geographic region, 4) urban or rural residence, and 5) ED visit before or during COVID-19. Multiple linear regression with Generalized Estimating Equations (GEE) modelling was used to identify factors associated with mean monthly ED visits. …”

Overview of individuals in the study. by Zachary E. M. Giovannini-Green (22008277)

“…Independent variables in the analyses were: 1) age, 2) sex, 3) geographic region, 4) urban or rural residence, and 5) ED visit before or during COVID-19. Multiple linear regression with Generalized Estimating Equations (GEE) modelling was used to identify factors associated with mean monthly ED visits. …”

Multivariate analyses. by Zachary E. M. Giovannini-Green (22008277)

“…Independent variables in the analyses were: 1) age, 2) sex, 3) geographic region, 4) urban or rural residence, and 5) ED visit before or during COVID-19. Multiple linear regression with Generalized Estimating Equations (GEE) modelling was used to identify factors associated with mean monthly ED visits. …”

Linear regressions of consumer stable carbon and nitrogen isotope values and collection date. by Nathan D. McTigue (10706460)

Estimated results of the mediation effect. by Getachew Magnar Kitila (19935139)

Univariate linear regression analysis of scales. by Xiangyu Wang (341093)

Multivariate linear regression analysis of scales. by Xiangyu Wang (341093)

Linear trends of the weekly total cost and cost components per capita for inpatients in the surgical group. by Chenxuan Zhu (22622476)

Scatterplot of observed barrier scores against knowledge scores (top) and confidence scores (bottom) with linear line of best fit. by Lisa Thiele (6468056)