Results 31 to 40 of about 169,283,811 (262)

Risk-of-bias.

, 2023
Summary of the included studies using the Revised Cochrane Risk-of-Bias Tool for randomized trials (RoB 2). (DOCX)
Teerapat Ungtrakul (12342387), Nanthida Phattraprayoon (12342384), Mingkwan Na Takuathung (12283012)   +2 more
core   +1 more source

Risk of bias versus quality assessment of randomised controlled trials: cross sectional study. [PDF]

, 2009
Objectives To evaluate the risk of bias tool, introduced by the Cochrane Collaboration for assessing the internal validity of randomised trials, for inter-rater agreement, concurrent validity compared with the Jadad scale and Schulz approach to ...
Hartling, L., Dryden, D. M., Krebs Seida, J., Klassen, T. P., Hooton, N., Liang, Y., Ospina, M.   +6 more
core   +1 more source

How value-glamour investors use financial information:UK evidence of investor’s confirmation bias [PDF]

, 2014
The paper investigates investor’s behaviour in the context of value–glamour investing and fundamental analysis, and provides a direct test of the confirmation bias by bringing together the evidence from several strands of literature into a well-defined ...
Duong, Chau, Santamaria, Daniel, Pescetto, G., Pescetto, Gioia, Doung, C., Santamaria, D.   +5 more
core   +1 more source

Authors’ rebuttal to Integrated Risk Information System (IRIS) response to “Assessing risk of bias in human environmental epidemiology studies using three tools: different conclusions from different tools”

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, Dana E. Goin, Juleen Lam, Tracey J. Woodruff, Nicholas Chartres   +4 more
doaj   +1 more source

Estimating the effect of COVID-19 on trial design characteristics: a registered report

Royal Society Open Science, 2023
There have been reports of poor-quality research during the COVID-19 pandemic. This registered report assessed design characteristics of registered clinical trials for COVID-19 compared to non-COVID-19 trials to empirically explore the design of clinical
James A. Smith, Nicholas DeVito, Hopin Lee, Catherine Tiplady, Roxanna E. Abhari, Christiana Kartsonaki   +5 more
doaj   +1 more source

Common errors while working on yoga intervention randomized controlled trials

Yoga-Mimamsa, 2022
There is a steady rise in interest among researchers in exploring the effect of yoga on various disease conditions, improving holistic health in a healthy population.
Mohit Nirwan
doaj   +1 more source

Assessment of risk of bias in randomized controlled trials published in Indian journals pertaining to pharmacology

Perspectives in Clinical Research, 2023
Context: Number of trials in India shows an increasing trend. As these trials will shape clinical practice, their quality is of utmost importance. Among many tools to assess the quality of randomized control trials (RCTs), risk of bias (RoB) is most ...
Saurabh R Patil, Shruti Shripad Bhide
doaj   +1 more source

Risk-of-bias quality appraisal of included studies.

, 2023
Risk-of-bias quality appraisal of included studies.
Zenita Alidina (17583305), Rebecca Balasa (17583302), Robyn Stremler (4571731), Peter Szatmari (364570), Kristin Cleverley (5195384), Daphne Korczak (8304954), Sophie Lightfoot (10105676)   +6 more
core   +1 more source

The Methodological Quality of Case Series Published Early vs. Late in the Course of a Pandemic: A Meta-Epidemiologic Study

Avicenna Journal of Medicine
Introduction Case reports and series are critical to guide initial decision-making in a pandemic, but may have lower rigor because of the need to publish them quickly.
Yahya Alsawaf, Mohammed Firwana, Tarek Nayfeh, Mohamed O. Seisa, Reem A. Alsibai, Alzhraa S. Abbas, Elizabeth H. Lees, Ye Zhu, Michael E. Wolf, Greg Vanichkachorn, Moustafa Hegazi, Larry J. Prokop, M. Hassan Murad, Samer Saadi   +13 more
doaj   +1 more source

Risk-of-bias summary.

, 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), Jong Kyou Kwon (836967), Kang Su Cho (616241), Won Sik Ham (728337), Young Deuk Choi (728338), Joo Yong Lee (616237), Dong Hyuk Kang (616236)   +6 more
core   +1 more source