Intra- and inter-day precision and accuracy. by Ewa Paszkowska (21246702)

Subjects:

Bias risk assessments for each RCT study. by Xin Liu (43569)

Subjects:

Bias risk assessments for each RCS study. by Xin Liu (43569)

Subjects:

Significant inter-relationships between baseline variables and MSCC or MCS. by Harshit Arora (22008280)

Version 2 of the Cochrane risk-of-bias tool for randomized controlled trials. by Solima Sabeel (9545738)

Subjects:

Risk of bias summary. by Duc Tran Quang (20564967)

“…The observed decrease in body weight could be partially attributed to factors influencing energy balance, as evidenced by the significantly lower mean calorie intake at the end of the intervention (1694.71 kcal/day, 95% CI: 1498.57–1890.85) compared to the baseline intake (2000.64 kcal/day, 95% CI: 1830–2172.98), despite the absence of intentional efforts to restrict energy intake by the participants. …”

Summary of the effect of MPDD on SDLP across all participants, and also participants categorized by driving styles (“NS” (no significant), “+” (significant increase), and “-” (sign... by Mobina Faqani (22783963)

Summary of the effect of MPDD on ART and TIBL across all participants, and also participants categorized by driving styles (“NS” (no significant), “+” (significant increase), and “... by Mobina Faqani (22783963)

Assessment of study bias in the included research. by Junyin Pan (20700411)

Subjects:

Study selection criteria. by Filip Stanicic (17808254)

Subjects:

PICOS criteria for the SLR. by Filip Stanicic (17808254)

Subjects:

PRISMA flow chart. by Filip Stanicic (17808254)

Subjects:

Risk of bias assessment for eligible randomized controlled trials. by Junyin Pan (20700411)

Subjects:

Sensitivity analysis for inter-shift subscale. by Rong Pi (21743379)

“…Studies have consistently linked occupational fatigue to decreased productivity, heightened error rates, and compromised decision-making abilities, posing significant risks to both individual nurses and healthcare organizations. …”

Summary of risk of bias. by Mohamed R. Abdelraouf (21501468)

Correlations between perceptual bias scores, age, and autism-associated features: Simple linear regression showing a significant correlation between elevated proprioceptive bias an... by Daniel E. Lidstone (21567523)

Subjects:

Estimated marginal mean values representative of the inter-positional differences in average time on ball and the relative frequency of ball touches and releases per minute of matc... by Emily Escreet (20552634)

Cochrane Collaboration’s risk of bias tool. by Zhuoyang Xia (21354186)

Subjects:

Error metric values i.e. MAPE and NMRE in JJA (main rainy season) rainfall between station data and CHIRPS data set before and after bias correction. by Asnake Adane (19935018)

Subjects:

Mean scores, standard deviations, and significance on key measures and subscales by gender group. by Silas Manning (22693338)