Risk of bias summary. by Danni Jiang (1722013)

Risk of bias graph. by Danni Jiang (1722013)

Summary of predictors that increase (+ UC) and decrease (- UC) the dose of propofol for the three statistical models used for data analysis. by Chiara E. Hampton (16484687)

Validation of genetic markers for risk of OA or knee OA for decrease in minJSW. by Mieke L. M. Bentvelzen (21594442)

Homozygous microdeletions of SNPs in the rs58923657 non-risk haplotype result in significantly decreased <i>IKZF1</i> expression and increased proliferation in human LCLs. by Vincent U. Gant (9955199)

The strength of predicted BMDs as the predictors of fragility fracture. by Yong Liu (6908)

“…<b>(D)</b> The predicted FNK-BMD and SPN-BMD were both significant in the cox model. For every increase of one standard deviation in BMD, the fracture risk will decrease by 17% and 28%, respectively. …”

Risk-taking behavior identified by the BART decreases after acclimatization. by Erica C. Heinrich (6832055)

Correlation coefficients and associated level of significance. by Ștefan Andrei Neştian (14755581)

Correlation coefficients and associated level of significance. by Ștefan Andrei Neştian (14755581)

The trend of patient characteristics, risk factors, and risk scores. by Ayako Shoji (78037)

Biopsychosocial model of fear of COVID-19 –Predictors/non predictors in the multiple regression model with B-values and p-values. by Patrick Nürnberger (12160940)

Subjects:

Predictors in ordinal regression model for GDS. by Shane Naidoo (20148021)

“…Conversely in a linear regression model, depression (<i>B</i> = -2.01, <i>p</i> = .004) and physical activity (<i>B</i> = -.001, <i>p</i> = .008) were predictors for decreases in BMI.</p><p>Conclusion</p><p>The relationship between depression and BMI in older people is complex, with depression often leading to both weight loss and, conversely, increased BMI contributing to a higher risk of depression. …”

Risks of bias of the included studies. by Siyuan Liu (696701)

Subjects:

Risk of fracture with competing risk in denosumab users versus non-users. by Arisa Kobayashi (4379608)

Subjects:

Predictors’ importance on the pH. by Bulent Gucyetmez (849602)

Mean decrease Gini score by Tweet and user characteristics. by Gray Babbs (16648894)

Table_1_Decreased natural killer cell activity as a potential predictor of hypertensive incidence.docx by Yun-Kyong Lee (18426192)

QUIPS risk of bias assessment. by Nabeela Arbee-Kalidas (17598969)

“…Higher estimates of peak, measured and as a percentagege of predicted, showed significant associations with a lower risk of mortality [MD: 3.66, 95% CI: 0.88; 6.43 and MD: 16.49, 95% CI: 6.92; 26.07] and fewer complications [MD: 2.06, 95% CI: 1.12; 3.00 and MD: 9.82, 95% CI: 5.88; 13.76]. …”

The trend of risk scores. by Ayako Shoji (78037)

Study cohort flowchart. by Maurice Pradella (11678817)

Subjects: