Lifeng Lin
Lifeng Lin
Department of Epidemiology and Biostatistics, University of Arizona
Verified email at
Cited by
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Quantifying publication bias in meta‐analysis
L Lin, H Chu
Biometrics 74 (3), 785-794, 2018
The trim-and-fill method for publication bias: practical guidelines and recommendations based on a large database of meta-analyses
L Shi, L Lin
Medicine 98 (23), e15987, 2019
Bias caused by sampling error in meta-analysis with small sample sizes
L Lin
PLoS One 13 (9), e0204056, 2018
Empirical comparison of publication bias tests in meta-analysis
L Lin, H Chu, MH Murad, C Hong, Z Qu, SR Cole, Y Chen
Journal of General Internal Medicine 33 (8), 1260-1267, 2018
The effect of publication bias magnitude and direction on the certainty in evidence
MH Murad, H Chu, L Lin, Z Wang
BMJ Evidence-Based Medicine 23 (3), 84-86, 2018
Arcsine‐based transformations for meta‐analysis of proportions: Pros, cons, and alternatives
L Lin, C Xu
Health Science Reports 3 (3), e178, 2020
Performing arm-based network meta-analysis in R with the pcnetmeta package
L Lin, J Zhang, JS Hodges, H Chu
Journal of Statistical Software 80 (5), 2017
When continuous outcomes are measured using different scales: guide for meta-analysis and interpretation
MH Murad, Z Wang, H Chu, L Lin
BMJ 364, k4817, 2019
An adaptive two-sample test for high-dimensional means
G Xu, L Lin, P Wei, W Pan
Biometrika 103 (3), 609-624, 2016
Meta-analysis of proportions using generalized linear mixed models
L Lin, H Chu
Epidemiology 31 (5), 713-717, 2020
P value–driven methods were underpowered to detect publication bias: analysis of Cochrane review meta-analyses
L Furuya-Kanamori, C Xu, L Lin, T Doan, H Chu, L Thalib, SAR Doi
Journal of Clinical Epidemiology 118, 86-92, 2020
Controversy and Debate: Questionable utility of the relative risk in clinical research: Paper 1: A call for change to practice
SA Doi, L Furuya-Kanamori, C Xu, L Lin, T Chivese, L Thalib
Journal of Clinical Epidemiology 142, 271-279, 2022
Alternative measures of between‐study heterogeneity in meta‐analysis: reducing the impact of outlying studies
L Lin, H Chu, JS Hodges
Biometrics 73 (1), 156-166, 2017
Exclusion of studies with no events in both arms in meta-analysis impacted the conclusions
C Xu, L Li, L Lin, H Chu, L Thabane, K Zou, X Sun
Journal of Clinical Epidemiology 123, 91-99, 2020
The magnitude of small-study effects in the Cochrane Database of Systematic Reviews: an empirical study of nearly 30 000 meta-analyses
L Lin, L Shi, H Chu, MH Murad
BMJ Evidence-Based Medicine 25 (1), 27-32, 2020
Comparison of four heterogeneity measures for meta‐analysis
L Lin
Journal of Evaluation in Clinical Practice 26 (1), 376-384, 2020
Cross channel effects of search engine advertising on brick & mortar retail sales: Meta analysis of large scale field experiments on
K Kalyanam, J McAteer, J Marek, J Hodges, L Lin
Quantitative Marketing and Economics 16 (1), 1-42, 2018
A proposed framework to guide evidence synthesis practice for meta-analysis with zero-events studies
C Xu, L Furuya-Kanamori, L Zorzela, L Lin, S Vohra
Journal of Clinical Epidemiology 135, 70-78, 2021
Laplace approximation, penalized quasi-likelihood, and adaptive Gauss–Hermite quadrature for generalized linear mixed models: towards meta-analysis of binary outcome with …
K Ju, L Lin, H Chu, LL Cheng, C Xu
BMC Medical Research Methodology 20, 152, 2020
Evaluation of various estimators for standardized mean difference in meta-analysis
L Lin, AM Aloe
Statistics in Medicine 40 (2), 403-426, 2021
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