Summary of significant GLMM coefficients on correct anticipations. by Arianna Compostella (8843135)

Results of the quadratic position estimation (ATE RMSE [cm]) for each model in the replica dataset. Our method minimizes the error in the quadratic position estimation without sign... by Zhanrong Li (5103872)

Risk of bias graph and summary. by Zhiwei Xu (294494)

Subjects:

Completed risk of bias assessments. by Nader Muthanna (20496266)

The funnel plot of publication bias. by Nader Muthanna (20496266)

Risk of bias for included studies. by Ziyad F. Al Nufaiei (18297820)

Subjects:

Plant growth, nodulation, and N content as affected by manipulating of GmNN1/FT2a. by Xinxin Li (281237)

Expression of <i>GmNN1/FT2a</i> in various tissues of soybean plants. by Xinxin Li (281237)

GmNN1/FT2a interacted with GmNYFA-C in the BiFC assay. by Xinxin Li (281237)

ROBINS-I assessment of risk of bias in non-RCTs. by Ellentika Chayadi (13047097)

RoB 2 assessment of risk of bias in RCTs. by Ellentika Chayadi (13047097)

Seasonal spatial-temporal trend of NDVI in burned areas across Africa (2001–2020). Percentages (%) of increases or decreases (%) based on the Mann-Kendall test and statistically significant (<i>p</i> < 0.05) and non-significant (p > 0.05) values. by Oswaldo Maillard (20660661)

Bias risk assessment for inclusion in the study. by Chucheng Tang (20917850)

Risk of bias ( by Shuan-Zhu Sun (21656015)

“…The Cochrane bias risk assessment tool was used to evaluate the quality of the included RCTs. …”

Nineteen SNPs with significant association (<i>P < </i>5 × 10⁻⁸) with risk on minJSW decrease in knee OA. by Mieke L. M. Bentvelzen (21594442)

Funnel plot of publication bias. by Shuliang Zhao (635164)

Subjects:

Risk of bias summary. by Yekui Luo (18831105)

“…Upon analysis, the papers included in this study did not have significant publication bias (Begg’s Test P = 0.210) and had good consistency (P>0.05). …”

Risk of bias assessment. by Robin Novriansyah (18127530)

“…No predictor reached statistical significance for HHS or THA conversion. However, mean age showed a borderline significant association with VAS (coefficient = −0.8029; P = 0.065), suggesting a possible trend of more significant pain reduction in older patients.…”

Distribution across studies for each risk of bias. by Hong Duo (13302460)

Point estimates of <i>b</i> and number of significant loci obtained by applying different MVMR methods. by Peiyao Wang (4116649)