The significance of predictor variables from the randomised (100) Poisson GLM models for the proximal group. by Stella Gachoki (16024540)

The significance of predictor variables from the randomised (100) Poisson GLM models for distant trap groups. by Stella Gachoki (16024540)

Most significant predictors for the three most frequently studied outcomes. by Emmanuelle Sylvestre (4796061)

Subjects:

Predictors of SCD. by Iftikhar Ali Ch (20783753)

“…</p><p> Results </p><p>Of 2,476 patients followed in this post-CABG study, the analysis included 1,005 patients who received aspirin monotherapy (AMT) and 1,458 patients who received dual antiplatelet therapy (DAPT). AMT group had a significantly higher incidence of SCD compared to those on DAPT (3.1% vs 0.8%; OR = 3.831, 95% CI: 1.961–7.519; p < 0.001). …”

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

“…The prevalence of co-infection was low with no statistically significant differences (p = 0.779). The COVID-19 pandemic and its associated preventive measures led to a significant decrease in the spread of influenza A and B and RSV among the Lebanese pediatric population. …”

Variable importance including the outcome variables as predictors. by Ron Bar-Ad (20685448)

Predictors included in the final development models. by Yijun Mao (21441443)

All-variable XGBoost model on the ‘significant illness’ binary using the primary decision-maker dataset. by Richard Barrett-Jolley (739341)

Subjects:

Treatment with ICs causes a significant decrease in podocyte proliferation. by George Haddad (470789)

Distribution of Predictor Combinations in Included Studies. by Jinmei Lu (21751598)

All-variable XGBoost model on the <i>significant illness</i> binary using the all-owner dataset. by Richard Barrett-Jolley (739341)

Subjects:

Meta-analysis of IPD: Influence of significant predictor variables (including treatment) on ongoing pregnancy and live birth (FAS). by Georg Griesinger (3176370)

Data_Sheet_3_Ovarian Sensitivity Decreased Significantly in Patients With Insulin Resistance Undergoing in vitro Fertilization and Embryo Transfer.xlsx by Yanjun Zheng (5126723)

“…Patients could get a higher rate of dominant follicle count (p < 0.0001) through the treatment of standard long protocol when compared with GnRH antagonist protocol. The OSI has a significant correlation with traditional ovarian response markers and could be a good predictor of positive pregnancy and clinical pregnancy for patients with IR.…”

Data_Sheet_1_Ovarian Sensitivity Decreased Significantly in Patients With Insulin Resistance Undergoing in vitro Fertilization and Embryo Transfer.xlsx by Yanjun Zheng (5126723)

“…Patients could get a higher rate of dominant follicle count (p < 0.0001) through the treatment of standard long protocol when compared with GnRH antagonist protocol. The OSI has a significant correlation with traditional ovarian response markers and could be a good predictor of positive pregnancy and clinical pregnancy for patients with IR.…”

Data_Sheet_2_Ovarian Sensitivity Decreased Significantly in Patients With Insulin Resistance Undergoing in vitro Fertilization and Embryo Transfer.xlsx by Yanjun Zheng (5126723)

“…Patients could get a higher rate of dominant follicle count (p < 0.0001) through the treatment of standard long protocol when compared with GnRH antagonist protocol. The OSI has a significant correlation with traditional ovarian response markers and could be a good predictor of positive pregnancy and clinical pregnancy for patients with IR.…”

Reduced (owner-animal metadata) XGBoost model on the <i>significant illness</i> binary using the all-owner dataset. by Richard Barrett-Jolley (739341)

Subjects:

Predictor variables included in mixed effects logistic regression model. by Glenna F. Nightingale (11890837)

Details of included studies. by Xuqin Wang (525739)

“…Five studies with 5254 patients were included. Meta-analysis of all five studies demonstrated that hypoalbuminemia was a significant predictor of mortality after CRRT (OR: 1.31 95% CI: 1.07, 1.60 I² = 72% p = 0.01). …”

Reduced (owner-animal metadata) XGBoost model on the <i>significant illness</i> binary using the primary decision-maker dataset. by Richard Barrett-Jolley (739341)

Subjects:

Significant decrease of the viability of A375 melanoma cells after CD treatment. by Lena Berning (7430117)