Lifeng Lin
www.mendeley.com
0000-0002-3562-9816
Florida State University
16 papers found
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Bayesian hierarchical models incorporating study‐level covariates for multivariate meta‐analysis of diagnostic tests without a gold standard with application to COVID‐19
Methods for deriving risk difference (absolute risk reduction) from a meta-analysis
Assessing the robustness of results from clinical trials and meta-analyses with the fragility index
Assessing and visualizing fragility of clinical results with binary outcomes in R using the fragility package
Accounting for publication bias using a bivariate trim and fill meta‐analysis procedure
Empirical comparisons of meta-analysis methods for diagnostic studies: a meta-epidemiological study
Empirical comparisons of heterogeneity magnitudes of the risk difference, relative risk, and odds ratio
A penalization approach to random‐effects meta‐analysis
Empirical Comparisons of 12 Meta-analysis Methods for Synthesizing Proportions of Binary Outcomes
Bayesian meta‐analysis using SAS PROC BGLIMM
Double-zero-event studies matter: a re-evaluation of physical distancing, face masks, and eye protection for preventing person-to-person transmission of COVID-19 and its policy impact
Prior Choices of Between-Study Heterogeneity in Contemporary Bayesian Network Meta-analyses: an Empirical Study
A Bayesian approach to assessing small-study effects in meta-analysis of a binary outcome with controlled false positive rate
The magnitude of small-study effects in the Cochrane Database of Systematic Reviews: an empirical study of nearly 30 000 meta-analyses
Bayesian multivariate meta-analysis of multiple factors
Quantifying Publication Bias in Meta-Analysis
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