Fan Li
Fan Li
Department of Statistical Science, Duke University
Verified email at stat.duke.edu
TitleCited byYear
Bayesian variable selection in structured high-dimensional covariate spaces with applications in genomics
F Li, NR Zhang
Journal of the American statistical association 105 (491), 1202-1214, 2010
1532010
Propensity score weighting with multilevel data
F Li, AM Zaslavsky, MB Landrum
Statistics in medicine 32 (19), 3373-3387, 2013
136*2013
Balancing covariates via propensity score weighting
F Li, KL Morgan, AM Zaslavsky
Journal of the American Statistical Association 113 (521), 390-400, 2018
1342018
Transcatheter Versus Surgical Aortic Valve Replacement: Propensity-Matched Comparison
Journal of the American College of Cardiology 70 (4), 439-450, 2017
432017
A Bayesian semiparametric approach to intermediate variables in causal inference
SL Schwartz, F Li, F Mealli
Journal of the American Statistical Association 106 (496), 1331-1344, 2011
412011
Spatial Bayesian variable selection and grouping for high-dimensional scalar-on-image regression
F Li, T Zhang, Q Wang, MZ Gonzalez, EL Maresh, JA Coan
The Annals of Applied Statistics 9 (2), 687-713, 2015
332015
Do debit cards increase household spending? Evidence from a semiparametric causal analysis of a survey
A Mercatanti, F Li
The Annals of Applied Statistics 8 (4), 2485-2508, 2014
302014
An empirical comparison of multiple imputation methods for categorical data
O Akande, F Li, J Reiter
The American Statistician 71 (2), 162-170, 2017
292017
Characteristics of high-risk HIV-positive IDUs in Vietnam: implications for future interventions
VF Go, C Frangakis, LV Nam, T Sripaipan, A Bergenstrom, F Li, C Latkin, ...
Substance use & misuse 46 (4), 381-389, 2011
292011
Sensitivity analysis for unmeasured confounding in principal stratification settings with binary variables
S Schwartz, F Li, JP Reiter
Statistics in medicine 31 (10), 949-962, 2012
282012
Imputing missing data by fully conditional models: Some cautionary examples and guidelines
F Li, Y Yu, DB Rubin
Duke University Department of Statistical Science Discussion Paper 11 (14), 1-35, 2012
262012
A semi-parametric model of the hemodynamic response for multi-subject fMRI data
T Zhang, F Li, L Beckes, JA Coan
NeuroImage 75, 136-145, 2013
252013
Multiple imputation by ordered monotone blocks with application to the anthrax vaccine research program
F Li, M Baccini, F Mealli, ER Zell, CE Frangakis, DB Rubin
Journal of Computational and Graphical Statistics 23 (3), 877-892, 2014
242014
Estimating prevalence of serious emotional disturbance in schools using a brief screening scale
F Li, JG Green, RC Kessler, AM Zaslavsky
International journal of methods in psychiatric research 19 (S1), 88-98, 2010
242010
Evaluating the causal effect of university grants on student dropout: evidence from a regression discontinuity design using principal stratification
F Li, A Mattei, F Mealli
The Annals of Applied Statistics, 1906-1931, 2015
23*2015
A dynamic directional model for effective brain connectivity using electrocorticographic (ECoG) time series
T Zhang, J Wu, F Li, B Caffo, D Boatman-Reich
Journal of the American Statistical Association 110 (509), 93-106, 2015
232015
Bayesian regularization via graph Laplacian
F Liu, S Chakraborty, F Li, Y Liu, AC Lozano
Bayesian Analysis 9 (2), 449-474, 2014
23*2014
Exploiting multiple outcomes in Bayesian principal stratification analysis with application to the evaluation of a job training program
A Mattei, F Li, F Mealli
The Annals of Applied Statistics 7 (4), 2336-2360, 2013
23*2013
Causal inference: A missing data perspective
P Ding, F Li
Statistical Science 33 (2), 214-237, 2018
222018
Addressing extreme propensity scores via the overlap weights
F Li, LE Thomas, F Li
American journal of epidemiology 188 (1), 250-257, 2019
192019
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Articles 1–20