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

BMI groups by SES. by Krystal Hunter (6820052)

“…We also found that the relationship between BMI and PTB was not linear but curvilinear, bridging the gap in the conclusions of other studies. …”

BMISES_Data_Part2. by Krystal Hunter (6820052)

“…We also found that the relationship between BMI and PTB was not linear but curvilinear, bridging the gap in the conclusions of other studies. …”

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

“…We also found that the relationship between BMI and PTB was not linear but curvilinear, bridging the gap in the conclusions of other studies. …”

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

“…We also found that the relationship between BMI and PTB was not linear but curvilinear, bridging the gap in the conclusions of other studies. …”

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

“…We also found that the relationship between BMI and PTB was not linear but curvilinear, bridging the gap in the conclusions of other studies. …”

BMISES_Data_Part1. by Krystal Hunter (6820052)

“…We also found that the relationship between BMI and PTB was not linear but curvilinear, bridging the gap in the conclusions of other studies. …”

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

“…We also found that the relationship between BMI and PTB was not linear but curvilinear, bridging the gap in the conclusions of other studies. …”

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

“…We also found that the relationship between BMI and PTB was not linear but curvilinear, bridging the gap in the conclusions of other studies. …”

Diagram of study population. by Krystal Hunter (6820052)

“…We also found that the relationship between BMI and PTB was not linear but curvilinear, bridging the gap in the conclusions of other studies. …”

Design of the D-trial. by Torsten Schober (20485754)

“…In contrast to expectations, neither PD nor DVP had significant effects on the cannabinoid concentration gradient from upper to lower canopy layers. …”

Estimated mean values for light interception. by Torsten Schober (20485754)

“…In contrast to expectations, neither PD nor DVP had significant effects on the cannabinoid concentration gradient from upper to lower canopy layers. …”

Raw data V-trial. by Torsten Schober (20485754)

“…In contrast to expectations, neither PD nor DVP had significant effects on the cannabinoid concentration gradient from upper to lower canopy layers. …”

Raw data D-trial. by Torsten Schober (20485754)

“…In contrast to expectations, neither PD nor DVP had significant effects on the cannabinoid concentration gradient from upper to lower canopy layers. …”

Flow diagram of participants selection. by Wei Huang (36889)

“…Participants in the highest BRI quartile had significantly lower ASM/ BMI levels, with corresponding β values of − 0.17. …”

Minimal data set. by Wei Huang (36889)

“…Participants in the highest BRI quartile had significantly lower ASM/ BMI levels, with corresponding β values of − 0.17. …”

Weighted comparison of baseline characteristics. by Wei Huang (36889)

“…Participants in the highest BRI quartile had significantly lower ASM/ BMI levels, with corresponding β values of − 0.17. …”

Recruitment flow diagram of the current study. by Somayeh Momenyan (10111603)

“…Phase 1 EQ-VAS decreases were associated with female sex, lower somatic symptom, fewer comorbidities, lack of expectation for a fast recovery, higher ISS, higher injury pain, neck, spine/back or lower extremity injuries. …”

Functional and strength parameters. by Susanne S. Rauh (21192252)

“…</p><p>Methods</p><p>Bilateral quantitative MRI of the lower limbs was performed in individuals with LGMD-R9 and healthy controls. …”

The results of curve fitting analysis. by Hai-bo Ai (20790405)