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

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

Analysis of Significantly Different ARGs and Resistance Mechanisms. by Xu Jia (187142)

Linear mixed models. evolution of posttraumatric stress symptomatology scores according to socio-demographic and occupational variables, from baseline to 12 months. by Beatriz Arregui-Gallego (21553735)

Subjects:

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

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. …”

Weighted Linear Regression Analysis of BRI and ASM/BMI. by Wei Huang (36889)

Multiple linear regression analysis of the RAAS system and glucose metabolism indexes in HT and NT patients. by Ningning Wang (560944)

Subjects:

Multiple linear regression analysis for psychological distress (GHQ-12 scores). by Kazuhiro Suzuki (160528)

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

Factors associated with the hemoglobin level stratified by age group: Linear regression. by Alejandro Rojas Chaves (20614814)

BMI groups by SES. by Krystal Hunter (6820052)

“…This relationship was not found in higher economic status women. Our study had two significant findings. We first found an obesity paradox in PTB for those mothers who are LSES. …”

BMISES_Data_Part2. by Krystal Hunter (6820052)

“…This relationship was not found in higher economic status women. Our study had two significant findings. We first found an obesity paradox in PTB for those mothers who are LSES. …”

Logistic regression for LSES population. by Krystal Hunter (6820052)

“…This relationship was not found in higher economic status women. Our study had two significant findings. We first found an obesity paradox in PTB for those mothers who are LSES. …”

Logistic regression for HSES population. by Krystal Hunter (6820052)

“…This relationship was not found in higher economic status women. Our study had two significant findings. We first found an obesity paradox in PTB for those mothers who are LSES. …”

Logistic regression for overall population. by Krystal Hunter (6820052)

“…This relationship was not found in higher economic status women. Our study had two significant findings. We first found an obesity paradox in PTB for those mothers who are LSES. …”

BMISES_Data_Part1. by Krystal Hunter (6820052)

“…This relationship was not found in higher economic status women. Our study had two significant findings. We first found an obesity paradox in PTB for those mothers who are LSES. …”

Baseline characteristics of HSES/LSES population. by Krystal Hunter (6820052)

“…This relationship was not found in higher economic status women. Our study had two significant findings. We first found an obesity paradox in PTB for those mothers who are LSES. …”

Baseline characteristics of overall population. by Krystal Hunter (6820052)

“…This relationship was not found in higher economic status women. Our study had two significant findings. We first found an obesity paradox in PTB for those mothers who are LSES. …”

Diagram of study population. by Krystal Hunter (6820052)

“…This relationship was not found in higher economic status women. Our study had two significant findings. We first found an obesity paradox in PTB for those mothers who are LSES. …”