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

Step length asymmetry and step width during split-belt adaptation. by Samantha Jeffcoat (22783930)

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. …”

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

Subjects:

Comparison of step rate, step length, stance time, and flight time between tasks in eight intervals from the start to the 40 m mark. by Shinnosuke Hase (20917896)

Results of the generalized linear mixed model (GLMM) for correct responses in the speech recognition task. by Elena Bolt (20396190)

Variables and generalized linear mixed models to explore PICS-F impairments. by Cristobal Padilla-Fortunatti (21376807)

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