Search research articles
Contact Us
Filters
Showing results (61-70 of 262) with videos related to
Page
of 27
Sort By:
International Journal of Environmental Research and Public Health
|
April 3, 2021
Bayesian Methods for Meta-Analyses of Binary Outcomes: Implementations, Examples, and Impact of Priors
Fahad M Al Amer, Christopher G Thompson, Lifeng Lin
Cochrane Evidence Synthesis and Methods
|
September 29, 2025
Leveraging AI for Meta-Analysis: Evaluating LLMs in Detecting Publication Bias for Next-Generation Evidence Synthesis
Xing Xing, Lifeng Lin, Mohammad Hassan Murad, et al.
BMC Medical Research Methodology
|
September 26, 2025
Evaluating the properties of the fragility index of meta-analyses
Aiwen Xing, Xing Xing, Mohammad Hassan Murad, et al.
Research Synthesis Methods
|
February 4, 2022
Comment on a review of methods to assess publication and other reporting biases in meta-analysis
Luis Furuya-Kanamori, Lifeng Lin, Suhail A R Doi
Statistics in Medicine
|
November 19, 2021
A penalization approach to random-effects meta-analysis
Yipeng Wang, Lifeng Lin, Christopher G Thompson, et al.
BMJ Evidence-Based Medicine
|
April 14, 2018
The effect of publication bias magnitude and direction on the certainty in evidence
Mohammad Hassan Murad, Haitao Chu, Lifeng Lin, et al.
BMJ Evidence-Based Medicine
|
December 13, 2025
Regression to the mean: a primer for evidence-based medicine practitioners
Mohammad Hassan Murad, Neha Ramachandran, Lifeng Lin, et al.
BMJ Evidence-Based Medicine
|
July 6, 2019
The magnitude of small-study effects in the <i>Cochrane Database of Systematic Reviews</i>: an empirical study of nearly 30 000 meta-analyses
Lifeng Lin, Linyu Shi, Haitao Chu, et al.
Research Synthesis Methods
|
July 8, 2022
Synthesizing evidence from the earliest studies to support decision-making: To what extent could the evidence be reliable?
Tianqi Yu, Lifeng Lin, Luis Furuya-Kanamori, et al.
Journal of Clinical Epidemiology
|
March 20, 2024
Hierarchical models that address measurement error are needed to evaluate the correlation between treatment effect and control group event rate
M Hassan Murad, Haitao Chu, Zhen Wang, et al.
Page
of 27
Search research articles
Search
Showing results (61-70 of 262) with videos related to
Sort By:
Page
of 27
International Journal of Environmental Research and Public Health
|
April 3, 2021
Bayesian Methods for Meta-Analyses of Binary Outcomes: Implementations, Examples, and Impact of Priors
Fahad M Al Amer, Christopher G Thompson, Lifeng Lin
Cochrane Evidence Synthesis and Methods
|
September 29, 2025
Leveraging AI for Meta-Analysis: Evaluating LLMs in Detecting Publication Bias for Next-Generation Evidence Synthesis
Xing Xing, Lifeng Lin, Mohammad Hassan Murad, et al.
BMC Medical Research Methodology
|
September 26, 2025
Evaluating the properties of the fragility index of meta-analyses
Aiwen Xing, Xing Xing, Mohammad Hassan Murad, et al.
Research Synthesis Methods
|
February 4, 2022
Comment on a review of methods to assess publication and other reporting biases in meta-analysis
Luis Furuya-Kanamori, Lifeng Lin, Suhail A R Doi
Statistics in Medicine
|
November 19, 2021
A penalization approach to random-effects meta-analysis
Yipeng Wang, Lifeng Lin, Christopher G Thompson, et al.
BMJ Evidence-Based Medicine
|
April 14, 2018
The effect of publication bias magnitude and direction on the certainty in evidence
Mohammad Hassan Murad, Haitao Chu, Lifeng Lin, et al.
BMJ Evidence-Based Medicine
|
December 13, 2025
Regression to the mean: a primer for evidence-based medicine practitioners
Mohammad Hassan Murad, Neha Ramachandran, Lifeng Lin, et al.
BMJ Evidence-Based Medicine
|
July 6, 2019
The magnitude of small-study effects in the <i>Cochrane Database of Systematic Reviews</i>: an empirical study of nearly 30 000 meta-analyses
Lifeng Lin, Linyu Shi, Haitao Chu, et al.
Research Synthesis Methods
|
July 8, 2022
Synthesizing evidence from the earliest studies to support decision-making: To what extent could the evidence be reliable?
Tianqi Yu, Lifeng Lin, Luis Furuya-Kanamori, et al.
Journal of Clinical Epidemiology
|
March 20, 2024
Hierarchical models that address measurement error are needed to evaluate the correlation between treatment effect and control group event rate
M Hassan Murad, Haitao Chu, Zhen Wang, et al.
Page
of 27