Flow diagram of study participants. by Yushan Shi (16440272)

Subjects:

Descriptive statistics of outcomes at baseline, post-intervention, and follow-up and estimates of the linear mixed effects model for the outcomes. by Ana Beato (20489933)

Association between CAP value and carotid-femoral pulse wave velocity. by Johannes Nairz (18010746)

Subjects:

Characteristics of the study population. by Johannes Nairz (18010746)

Subjects:

Boxplot mean cfPWV comparisons. by Johannes Nairz (18010746)

Subjects:

Study flow chart. by Johannes Nairz (18010746)

Subjects:

Analysis of the Path Effects of Burnout and Resilience on  Stress Specific to COVID-19 and PTS via Multiple Linear Regressions, with Standardized Beta Coefficients (Standard Error)... by Rachel G. Baskin (22127334)

Model-averaged coefficients, significance, and relative importance (RI) of the predictor variables for the GLMMs to evaluate effects on: (A) overall pollinator abundance; (B) fruit... by Carmelo Gómez-Martínez (9384385)

Summary of person-years, deaths, median age at death, crude mortality rates, age- and sex-standardised mortality rates (per 1,000 person-years), and standardised mortality ratios (... by Luís-Jorge Amaral (16406704)

Subjects:

ZIP file containing the 3 datasets used during analysis: 1) Epilepsy suspected and mortality data; 2) Epilepsy confirmed data; 3) anti-Ov16 seroprevalence data per study site. by Luís-Jorge Amaral (16406704)

Subjects:

Relationship between age- and sex-standardised anti-Ov16 seroprevalence in children aged 3‒9 years and age- and sex-standardised confirmed prevalence of epilepsy (A) and probable n... by Luís-Jorge Amaral (16406704)

Subjects:

Location of (A) South Sudan and (B) study counties (Maridi, Mundri East, Mundri West, Mvolo and Wulu). by Luís-Jorge Amaral (16406704)

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Classification of study villages according to their distance from rivers with confirmed vector (<i>Simulium damnosum</i> sensu lato) breeding grounds for the five South Sudanese st... by Luís-Jorge Amaral (16406704)

Subjects:

Epilepsy, including probable nodding syndrome (pNS), and pNS prevalence per study county in high- and low-risk sites in South Sudan. by Luís-Jorge Amaral (16406704)

Subjects:

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. …”