Independent predictors of receiving ECR. by Deanna H. Wong (11812836)

Forest plot showing the relative risk and 95% CI of significant predictors of confirmed Covid-19 infection. by Scott D. Greenwald (12035340)

The carotid canal area is larger on the unaffected side than on the affected side in patients with unilateral moyamoya disease, but the difference decreases according to the contra... by Yuki Oichi (11840776)

Predictor importance for predicting stock market using neural network and linear predictor. by Dania AL-Najjar (11840857)

Subjects:

Predictors of death from stroke caused by snakebite envenomation. by Thiago Almeida (22783667)

Top 10 most significant diagnoses. by Lucas Vega (19500790)

Top 10 most significant prescriptions. by Lucas Vega (19500790)

Preparatory neuronal activity in ALM is decreased, but remains significant in quiet trials devoid of movements. by Vahid Esmaeili (12700352)

Protein serum levels of significant difference from proteomics discovery experiment. by Tina Ravnsborg (6519701)

Forest plot showing the relative risk and 95% CI of significant predictors of mortality of subjects with confirmed Covid-19. by Scott D. Greenwald (12035340)

Subgroup analysis for predictors and risk scores of moderate to severe drug hypersensitivity reaction (cases = 88, controls = 176). by Ujal Pradhan (11944428)

Predictors associated with a positive tuberculin skin test among neonates exposed to an index case with pulmonary TB. by Yun Choi (47190)

Representative cases. by Sohyun Park (78358)

Top 10 most significant combined features. by Lucas Vega (19500790)

CFA factor loadings, t statistics and significance level for IBL and INT teaching strategies. by Fabiola Sanda Chiriacescu (14509871)

Subjects:

Logistic regression (backward conditional) analysis to explore the clinical predictors of septic shock. by Monira Sarmin (3987344)

Predictors of post COVID symptoms. by Ahmed Samir Abdelhafiz (9724049)

Significant mutations according to our GLM of <i>type a</i>, which utilizes cases per million as outcome variable and including response time as a predictor variable. by Anastasis Oulas (8813288)

“…<p>Significant mutations according to our GLM of <i>type a</i>, which utilizes cases per million as outcome variable and including response time as a predictor variable.…”

The results of KEGG enrichment analysis (Annotation: Circles represent each pathway, and the redder the color, the larger the circle, and the more important it is). by Lin Zhou (141050)

Logistic regression analysis^a of the significant predictors associated with mortality in patients with <i>Pseudomonas aeruginosa</i> infection. by Rania Itani (11464245)