Results 31 to 40 of about 1,440,519 (266)

Risk of selection bias in randomised trials [PDF]

Trials, 2015
Selection bias occurs when recruiters selectively enrol patients into the trial based on what the next treatment allocation is likely to be. This can occur even if appropriate allocation concealment is used if recruiters can guess the next treatment assignment with some degree of accuracy.
Kahan, BC, Rehal, S, Cro, S
openaire   +4 more sources

Reporting and risk of bias of prediction models based on machine learning methods in preterm birth: A systematic review

Acta Obstetricia et Gynecologica Scandinavica, 2023
Introduction There was limited evidence on the quality of reporting and methodological quality of prediction models using machine learning methods in preterm birth.
Qiuyu Yang, Xia Fan, Xiao Cao, Weijie Hao, Jiale Lu, Jia Wei, Jinhui Tian, Min Yin, Long Ge   +8 more
doaj   +1 more source

Primary Study Quality in Psychological Meta-Analyses: An Empirical Assessment of Recent Practice

Frontiers in Psychology, 2019
As meta-analytic research has come to occupy a sizeable contingent of published work in the psychological sciences, clarity in the reporting of such work is crucial to its interpretability and reproducibility.
Richard E. Hohn, Kathleen L. Slaney, Donna Tafreshi   +2 more
doaj   +1 more source

Systematic reviews of antihypertensive drugs: A review of publication trends, characteristics, and quality

The Journal of Clinical Hypertension, 2021
This review presents publication trends, characteristics, and quality of systematic reviews (SRs) of randomized controlled trials (RCTs) of antihypertensive drugs (AHTDs). Between 1985 and 2017, 1,173 SRs were published, and in the last 20 years, 10, 35,
Hariprasad Esam, Raju Kanukula, Rupasvi Dhurjati, Rupa Aerram, Sindhujareddy Chevireddy, Soumyadeep Bhaumik, Emily Atkins, Mark D. Huffman, Anthony Rodgers, Abdul Salam   +9 more
doaj   +1 more source

Development of a Methodological Quality Criteria List for Observational Studies: The Observational Study Quality Evaluation

Frontiers in Research Metrics and Analytics, 2021
Background: Existing study quality and risk of bias lists for observational studies have important disadvantages. For this reason, a comprehensive widely applicable quality assessment tool for observational studies was developed.Methods: Criteria from ...
Marjan Drukker, Irene Weltens, Irene Weltens, Carmen F. M. van Hooijdonk, Carmen F. M. van Hooijdonk, Emma Vandenberk, Maarten Bak, Maarten Bak   +7 more
doaj   +1 more source

ADHD rehabilitation through video gaming: A systematic review using PRISMA guidelines of the current findings and the associated risk of bias.

Frontiers in Psychiatry, 2015
Empirical research studies have highlighted the need to investigate whether video game can be useful as a tool within a neuropsychological rehabilitation program for Attention Deficit Hyperactivity Disorder patients.
Thiago eStrahler Rivero, Lina Maria Herrera Nuñez, Emmy eUehara Pires, Orlando Francisco Amodeo Bueno   +3 more
doaj   +1 more source

Diagnostic Accuracy of Machine Learning Models to Identify Congenital Heart Disease: A Meta-Analysis

Frontiers in Artificial Intelligence, 2021
Background: With the dearth of trained care providers to diagnose congenital heart disease (CHD) and a surge in machine learning (ML) models, this review aims to estimate the diagnostic accuracy of such models for detecting CHD.Methods: A comprehensive ...
Zahra Hoodbhoy, Uswa Jiwani, Saima Sattar, Rehana Salam, Babar Hasan, Jai K. Das   +5 more
doaj   +1 more source

Bias and Reporting Quality of Clinical Prognostic Models for Idiopathic Pulmonary Fibrosis: A Cross-Sectional Study

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  

Methodological Standards for Conducting High-Quality Systematic Reviews

Biology
Systematic reviews are a cornerstone of evidence-based research, providing comprehensive summaries of existing studies to answer specific research questions.
Alessandro De Cassai, Burhan Dost, Serkan Tulgar, Annalisa Boscolo   +3 more
doaj   +1 more source

Risk‐of‐bias VISualization (robvis): An R package and Shiny web app for visualizing risk‐of‐bias assessments [PDF]

Research Synthesis Methods, 2020
Despite a major increase in the range and number of software offerings now available to help researchers produce evidence syntheses, there is currently no generic tool for producing figures to display and explore the risk‐of‐bias assessments that routinely take place as part of systematic review. However, tools such as the R programming environment and
Luke A. McGuinness, Julian P. T. Higgins
openaire   +4 more sources