Significant inter-relationships between baseline variables and MSCC or MCS. by Harshit Arora (22008280)

Subjects:

Multivariate regression analysis to explain the decrease in visibility and palpability. by Miharu Matsumoto (21304390)

Intra- and inter-day precision and accuracy. by Ewa Paszkowska (21246702)

“…<div><p>Purpose</p><p>Statins are the most commonly used drugs worldwide. Besides a significant decrease in cardiovascular diseases (CVDs) risk, the use of statins is also connected with a broad beneficial pleiotropic effect. …”

Logistic regression for influenza results predictors. by Reem Eid (20889732)

Logistic regression for RSV results predictors. by Reem Eid (20889732)

Identification of ACADM, ANGPTL4, and NFKB2 as significant predictors of OS in the TCGA-KIRC cohort. by Yu Zhang (12946)

Most significant muscle activation values. by María Benito-de-Pedro (22057468)

Subjects:

Significant repeated measurements sEMG outcomes. by María Benito-de-Pedro (22057468)

Subjects:

Significant single measurement sEMG outcomes. by María Benito-de-Pedro (22057468)

Subjects:

Predictors of SCD. by Iftikhar Ali Ch (20783753)

Logistics regression COVID-19 vaccine predictors. by Adaobi Uchenna Mosanya (20384248)

GLM models for predictors of monthly HIV costs. by Drew B. Cameron (10687420)

Subjects:

GLM models for predictors of monthly HTN care costs. by Drew B. Cameron (10687420)

Subjects:

Depression, anxiety, and stress as predictors of implemental delay and school burnout. by Katarzyna Markiewicz (20489903)

Subjects:

Sensitivity analysis for inter-shift subscale. by Rong Pi (21743379)

“…Studies have consistently linked occupational fatigue to decreased productivity, heightened error rates, and compromised decision-making abilities, posing significant risks to both individual nurses and healthcare organizations. …”

Sociodemographic and economic factors of study subjects, Ethiopia, EDHS 2005–2016 (N = 29,525). by Girma Beressa (9580436)

Subjects:

Multivariable multilevel mixed-effects logistic regression analyses of zinc utilisation and predictors among under-five children with diarrhoea, Ethiopia, 2005–2016 (N = 29,525). by Girma Beressa (9580436)

Subjects:

Response of stranding abundance to the environmental predictors. by Regiane da Silva Rodrigues (21100391)

Response of stranding diversity to the environmental predictors. by Regiane da Silva Rodrigues (21100391)

Response of stranding richness to the environmental predictors. by Regiane da Silva Rodrigues (21100391)