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

Subjects:

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

Larger example of stimuli with cue relevant for Task 3. by Marcel F. Hinss (14675457)

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)

Predictors of SCD. by Iftikhar Ali Ch (20783753)

Overview of the WeARTolerance program. by Ana Beato (20489933)

“…<div><p>The stigma surrounding mental health remains a significant barrier to help-seeking and well-being in youth populations. …”

Median cost (USD) per visit breakdown. by Drew B. Cameron (10687420)

Subjects:

Significantly Enriched Pathways. by Jiyong Zhang (2498740)

“…By comparing samples from NAFLD patients and healthy controls, we identified 1,770 significant DEGs, with 1,073 being upregulated and 697 downregulated. …”

Scheme of g-λ model with larger values λ. by Zhanfeng Fan (20390992)

“…The findings suggest that when λ is respectively equal to 4.19, 8.57, 10, and 12.15, the peak particle velocity (PPV) of the transmitted waves is significantly close to the incident wave amplitude. Furthermore, when λ is fixed, the energy transmission coefficient increases with the incident wave amplitude but decreases with the incident wave frequency. …”

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

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

Subjects:

Significant Decrease in Vessel Count of Trade Vessels in (a) Bosporus Strait and (b) Bab el-Mandeb Strait. by Cherryl Chico (20978829)

Data Extraction Sheet: A sheet that contains the data that we extracted from the included studies. by Mohamed R. Abdelraouf (21501468)

Data. by Su Hwan Park (15158181)

“…In the univariate analysis, ERM area reduction at 6 months was a significant predictor of vision loss (odds ratio, 1.632; P = 0.002). …”

Baseline characteristics of patients. by Su Hwan Park (15158181)

“…In the univariate analysis, ERM area reduction at 6 months was a significant predictor of vision loss (odds ratio, 1.632; P = 0.002). …”

Changes in best-corrected visual acuity and total area reduction ratio of the epiretinal membrane (ERM) during follow-up. by Su Hwan Park (15158181)

Study-related adverse events. by Benjamin R. Lewis (22279166)

Subjects:

Study flow chart. by Benjamin R. Lewis (22279166)

Subjects: