Lifeng Lin
Lifeng Lin
Department of Statistics, Florida State University
Verified email at stat.fsu.edu
Title
Cited by
Cited by
Year
Quantifying publication bias in meta‐analysis
L Lin, H Chu
Biometrics 74 (3), 785-794, 2018
1742018
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
912019
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
602018
Bias caused by sampling error in meta-analysis with small sample sizes
L Lin
PLoS One 13 (9), e0204056, 2018
562018
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
552018
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
522017
An adaptive two-sample test for high-dimensional means
G Xu, L Lin, P Wei, W Pan
Biometrika 103 (3), 609-624, 2016
402016
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
302017
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
272020
Cross channel effects of search engine advertising on brick & mortar retail sales: Meta analysis of large scale field experiments on Google.com
K Kalyanam, J McAteer, J Marek, J Hodges, L Lin
Quantitative Marketing and Economics 16 (1), 1-42, 2018
262018
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
232019
Performance of between-study heterogeneity measures in the Cochrane Library
X Ma, L Lin, Z Qu, M Zhu, H Chu
Epidemiology 29 (6), 821-824, 2018
152018
Sensitivity to excluding treatments in network meta-analysis
L Lin, H Chu, JS Hodges
Epidemiology 27 (4), 562-569, 2016
152016
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
122020
Arcsine‐based transformations for meta‐analysis of proportions: Pros, cons, and alternatives
L Lin, C Xu
Health Science Reports 3 (3), e178, 2020
102020
Meta-analysis of proportions using generalized linear mixed models
L Lin, H Chu
Epidemiology 31 (5), 713-717, 2020
102020
Graphical augmentations to sample‐size‐based funnel plot in meta‐analysis
L Lin
Research Synthesis Methods 10 (3), 376-388, 2019
92019
Borrowing of strength from indirect evidence in 40 network meta-analyses
L Lin, A Xing, MJ Kofler, MH Murad
Journal of Clinical Epidemiology 106, 41-49, 2019
92019
Comparison of four heterogeneity measures for meta‐analysis
L Lin
Journal of Evaluation in Clinical Practice 26 (1), 376-384, 2020
82020
Real-world performance of meta-analysis methods for double-zero-event studies with dichotomous outcomes using the Cochrane Database of Systematic Reviews
Y Ren, L Lin, Q Lian, H Zou, H Chu
Journal of General Internal Medicine 34 (6), 960-968, 2019
82019
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Articles 1–20