Results 41 to 50 of about 1,531,874 (315)
Risk-of-bias quality appraisal of included studies.
, 2023 Risk-of-bias quality appraisal of included studies.
Zenita Alidina (17583305) +6 more
core +1 more source
Systematic Reviews, 2022 This letter responds to the US Environmental Protection Agency’s Integrated Risk Information System (IRIS) program letter by Radke et al. (2021) that was published in response to the application of the IRIS risk of bias tool in our recent study ...
Stephanie M. Eick +4 more
doaj +1 more source
Prediction Models for Prognosis of Cervical Cancer: Systematic Review and Critical Appraisal
Frontiers in Public Health, 2021 Objective: This work aims to systematically identify, describe, and appraise all prognostic models for cervical cancer and provide a reference for clinical practice and future research.Methods: We systematically searched PubMed, EMBASE, and Cochrane ...
Bingjie He +8 more
doaj +1 more source
Risk Prediction Model for Esophageal Cancer Among General Population: A Systematic Review
Frontiers in Public Health, 2021 Objective: The risk prediction model is an effective tool for risk stratification and is expected to play an important role in the early detection and prevention of esophageal cancer.
Ru Chen +7 more
doaj +1 more source
, 2016 (A) Risk-of-bias summary: The authors’ judgments regarding each risk-of-bias item for each included study. (B) Risk-of-bias graph: The authors’ judgments regarding each risk-of-bias item presented as percentages across all included studies.
Pu Wang (171923) +6 more
core +1 more source
Risk Management and Healthcare Policy, 2022 Jiaqi Di,1 Xuanlin Li,1 Jingjing Yang,1 Luguang Li,2 Xueqing Yu2 1Co-Construction Collaborative Innovation Center for Chinese Medicine and Respiratory Diseases by Henan & Education Ministry of P.R, Henna University of Chinese Medicine, Zhengzhou, 450046,
Di J, Li X, Yang J, Li L, Yu X
doaj
The Quality of Randomized Controlled Trial in Cochrane Kidney and Transplant Group
Journal of Urological Surgery, 2021 Objective:Misconduct is one of the important issues in research integrity. Cochrane systematic reviews are known for their best level of evidence. Since kidney failure is a major public health problem worldwide, the Cochrane Library provides a robust and
Hanieh Salehi-Pourmehr +6 more
doaj +1 more source
, 2016 Review author judgments for risk-of-bias items for each included study. Green, low risk of bias; Red, high risk of bias; Yellow, unclear of risk of bias.
Hyungmin Lee (3157485) +6 more
core +1 more source
, 2019 Red represents high risk of bias, yellow unclear risk, and green low risk in each domain evaluated.
Nathália B. Corrêa (7252265) +11 more
core +1 more source
Bias of Maximum-Likelihood estimates in logistic and Cox regression models: A comparative simulation study [PDF]
, 2003 Parameter estimates of logistic and Cox regression models are biased for finite samples. In a simulation study we investigated for both models the behaviour of the bias in relation to sample size and further parameters.
Lenz-Tönjes, Rebecca +7 more
core +1 more source