Publication

2023:

  1. Nevins P, Davis-Plourde K, Macedo JP, Ouyang Y, Meng C, Ryan M, Tong G, Wang X, Ortiz-Reyes L, Li F, Caille A, Taljaard M (2023). A scoping review described diversity in methods of randomization and reporting of baseline balance in stepped-wedge cluster randomized trials. Journal of Clinical Epidemiology. In Press.
  2. Tong J, Li F, Harhay MO, Tong G (2023). Accounting for expected attrition in the planning of cluster randomized trials for assessing treatment effect heterogeneity. BMC Medical Research Methodology. In Press.
  3. Ouyang Y, Kulkarni MA, Protopopoff N, Li F, Taljaard M (2023). Accounting for complex intracluster correlations in longitudinal cluster randomized trials: A case study in malaria vector control. BMC Medical Research Methodology. In Press.
  4. Cheng C*, Spiegelman D, Li F (2023). Mediation analysis in the presence of continuous exposure measurement error. Statistics in Medicine. In Press. (*Winner of 2022 JSM Young Investigator Award, ASA Section on Statistics in Epidemiology*)
  5. Zhu Y, Mitra N, Hemming K, Harhay MO, Li F (2023). Leveraging baseline covariates in analyzing small cluster-randomized trials with a rare binary outcome. Biometrical Journal. In Press.
  6. Kahan BC, Cro S, Li F, Harhay MO (2023). Eliminating ambiguous treatment effects using estimands. American Journal of Epidemiology. In Press.
  7. Zhang Y, Preisser JS, Li F, Turner EL, Toles M, Rathouz PJ (2023). GEEMAEE: A SAS macro for the analysis of correlated outcomes based on GEE and finite-sample adjustments with application to cluster randomized trials. Computer Methods and Programs in Biomedicine. In Press. [Pre-print]
  8. Nicholls SG, Al-Jaishi AA, Niznick H, Carroll K, Madani MT, Peak KD, Madani L, Nevins P, Adisso L, Li F, Weijer C, Mitchell S, Welch V, Quinones AR, Taljaard M (2023). Health equity considerations in pragmatic trials in Alzheimer’s and dementia disease: Results from a methodological review. Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring. In Press.
  9. Tong G, Li F, Chen X, Hirani SP, Newman SP, Wang W, Harhay MO (2023). A Bayesian approach for estimating the survivor average causal effect when outcomes are truncated by death in cluster-randomized trials. American Journal of Epidemiology. In Press.

2022:

  1. Davis-Plourde K, Taljaard M, Li F (2022). Power analyses for stepped wedge designs with multivariate continuous outcomes. Statistics in Medicine. [Paper] [Pre-print] [Supplement]
  2. Wang X, Turner EL, Li F (2022). Improving sandwich variance estimation for marginal Cox analysis of cluster randomized trials. Biometrical Journal. [Paper] [Pre-print] [Supplement]
  3. Maleyeff L, Li F, Haneuse S, Wang R (2022). Assessing exposure-time treatment effect heterogeneity in stepped wedge cluster randomized trials. Biometrics. [Paper] [Supplement]
  4. Ghazi L, Li F, Simonov M, Yamamoto Y, Nugent JT, Greenberg JH, Bakhoum C, Peixoto A, Wilson, FP (2022). Effect of intravenous antihypertensives on outcomes of severe hypertension in hospitalized patients without acute target organ damage. Journal of Hypertension. [Paper]
  5. Meng C, Esserman D, Li F, Zhao Y, Blaha O, Lu W, Wang Y, Peduzzi P, Greene EJ (2022). Simulating time-to-event data subject to competing risks and clustering: A review and synthesis. Statistical Methods in Medical Research. [Paper]
  6. Li F, Li F (2022). Invited Commentary: Using propensity scores for racial disparity analysis. Observational Studies. [Pre-print]
  7. Zhang Y, Preisser JS, Turner EL, Rathouz PJ, Toles M, Li F (2022). A general method for calculating power for GEE analysis of complete and incomplete stepped wedge cluster randomized trials. Statistical Methods in Medical Research. [Paper] [Supplement]
  8. Li F, Kasza J, Turner EL, Rathouz PJ, Forbes AB, Preisser JS (2022). Generalizing the information content for stepped wedge designs: A marginal modeling approach. Scandinavian Journal of Statistics. [Paper] [Supplement]
  9. Li F, Tian Z, Tian Z, Li F (2022). A note on identification of causal effects in cluster randomized trials with post-randomization selection bias. Communications in Statistics – Theory and Methods. [Paper].
  10. Blaha O, Esserman D, Li F (2022). Design and analysis of cluster randomized trials with survival outcomes under the additive hazards mixed model. Statistics in Medicine. [Paper] [Supplement]
  11. Li F, Chen X, Tian Z, Esserman DA, Heagerty PJ, Wang R (2022). Designing three-level cluster randomized trials to assess treatment effect heterogeneity. Biostatistics. [Paper] [Supplement]
  12. Kahan B, Li F, Copas AJ, Harhay MO (2022). Estimands in cluster-randomised trials: choosing analyses which answer the right question. International Journal of Epidemiology. [Paper] [Supplement]
  13. Gallis J, Wang X, Rathouz PJ, Preisser JS, Li F, Turner EL (2022). power swgee: GEE-based power calculation in stepped wedge cluster randomized trials. The Stata Journal. [Paper]
  14. Ouyang Y, Li F, Preisser JS, Taljaard M (2022). Sample size calculators for planning stepped-wedge cluster randomized trials: A review and comparison. International Journal of Epidemiology. [Paper] [Supp1] [Supp2]
  15. Yang S*, Moerbeek M, Taljaard M, Li F (2022). Power analysis for cluster randomized trials with continuous co-primary endpoints. Biometrics. [Paper] [Pre-print] [Supplement] (*Winner of 2022 ENAR Distinguished Student Paper Award*)
  16. Gettel CJ, Yiadom MYAB, Bernstein SL, Grudzen C, Nath B, Li F, Hwang U, Hess EP, Melnick ER (2022). Pragmatic clinical trial design in emergency medicine: Study considerations and design types. Academic Emergency Medicine. [Paper]
  17. Chen X, Harhay MO, Li F (2022). Clustered restricted mean survival time regression. Biometrical Journal. [Paper] [Supplement]
  18. Wang Y, Li F, Blaha O, Meng C, Esserman DA (2022). Design and analysis of partially randomized preference trials with propensity score stratification. Statistical Methods in Medical Research. [Paper] [Supplement]
  19. Nicholls SG, Carroll K, Nix HP, Li F, Hey SP, Mitchell SL, Weijer C, Taljaard M (2022). Ethical considerations within pragmatic randomized controlled trials in dementia: Results from a literature survey. Alzheimer’s & Dementia: Translational Research & Clinical Interventions. [Paper]
  20. Ghazi L, Li F, Chen X, Simonov M, Yamamoto Y, Biswas A, Hanna J, Shah T, Peixoto A, Wilson FP (2022). Blood pressure response to commonly administered antihypertensives for severe inpatient hypertension. PLoS ONE. [Paper]
  21. Chen X, Li F (2022). Finite-sample adjustments in variance estimators for clustered competing risks regression. Statistics in Medicine. [Paper] [Supplement]
  22. Li F, Lu W, Wang Y, Pan Z, Greene EJ, Meng G, Meng C, Blaha O, Zhao Y, Peduzzi PN, Esserman DA (2022). A comparison of analytical strategies for cluster randomized trials with survival outcomes in the presence of competing risks. Statistical Methods in Medical Research. [Paper] [Supplement]
  23. Zhou T, Tong G, Li F, Thomas LE, Li F (2022). PSweight: An R package for propensity score weighting analysis. The R Journal. [Paper] [Pre-print] [R Package] [R Vignette]
  24. Li F, Buchanan AB, Cole SR (2022). Generalizing trial evidence to target populations in non-nested designs: Applications to AIDS clinical trials. Journal of the Royal Statistical Society: Series C. [Paper] [Supplement] [Code]
  25. Cheng C, Spiegelman D, Li F (2022). Is the product method more efficient than the difference method for mediation analysis? American Journal of Epidemiology. [Paper] [Supplement]
  26. Wang X, Turner EL, Li F, Wang R, Moyer J, Cook AJ, Murray DM, Heagerty PJ (2022). Two weights make a wrong: Cluster randomized trials with variable cluster sizes and heterogeneous treatment effects. Contemporary Clinical Trials. [Paper] [Supplement]
  27. Zhou Y, Turner EL, Simmons R, Li F (2022). Constrained randomization and statistical inference for multi-arm parallel cluster randomized controlled trials. Statistics in Medicine. [Paper] [Pre-print] [Supplement]
  28. Tian Z, Esserman DA, Tong G, Blaha O, Dziura J, Peduzzi PN, Li F (2022). Sample size estimation in hierarchical 2 × 2 factorial trials accounting for unequal cluster sizes. Statistics in Medicine. [Paper] [Supplement] [R Package]
  29. Ghazi L, Li F, Chen X, Simonov M, Yamamoto Y, Biswas A, Hanna J, Shah T, Peixoto A, Wilson FP (2022). Severe inpatient hypertension prevalence and blood pressure response to antihypertensive treatment. Journal of Clinical Hypertension. [Paper]

2021:

  1. Zeng S, Li F, Hu L, Li F (2021). Propensity score weighting analysis of survival outcomes using pseudo-observations. Statistica Sinica. [Paper] [Pre-print] [Supplement]
  2. Li F, Hong H, Stuart EA (2021). A note on semiparametric efficient generalization of causal effects from randomized trials to target populations. Communications in Statistics – Theory and Methods. [Paper]
  3. Cheng C, Li F, Thomas LE, Li F (2021). Addressing extreme propensity scores in estimating counterfactual survival functions via the overlap weights. American Journal of Epidemiology. [Paper] [Pre-print] [Supplement]
  4. Luo J, Tang X, Li F, Wen H, Wang L, Ge S, Tang C, Xu N, Lu L (2021). Cigarette smoking and risk of different pathologic types of stroke: A systematic review and dose-response meta-analysis. Frontiers in Neurology. [Paper]
  5. Tong G, Esserman DA, Li F (2021). Accounting for unequal cluster sizes in designing cluster randomized trials to detect treatment effect heterogeneity. Statistics in Medicine. [Paper] [Supplement]
  6. Chen J, Xin Z, Li F, Spiegelman D (2021). swdpwr: A SAS macro and an R package for power calculation in stepped wedge cluster randomized trials. Computer Methods and Programs in Biomedicine. [Paper]
  7. Chen X, Chang J, Spielgelman D, Li F (2021). A Bayesian approach for estimating the partial population impact fraction with exposure measurement error under a main study/internal validation design. Statistical Methods in Medical Research. [Paper] [Supplement]
  8. Davis-Plourde K, Taljaard M, Li F (2021). Sample size considerations for stepped wedge designs with subclusters. Biometrics. [Paper] [Supplement]
  9. Li F, Wang R (2021). Stepped wedge cluster randomized trials: A methodological overview. World Neurosurgery. [Paper]
  10. Li F, Tian Z, Bobb JF, Papadogeorgou G, Li F (2021). Clarifying selection bias in cluster randomized trials. Clinical Trials. [Paper] [Pre-print] [Supplement]
  11. Cheng C, Spiegelman D, Li F (2021). Estimating natural indirect effect and mediation proportion via the product method. BMC Medical Research Methodology. [Paper] [Pre-print] [Supplement]
  12. Wang X, Turner EL, Preisser JS, Li F (2021). Power considerations for generalized estimating equations analyses of four-level cluster randomized trials. Biometrical Journal. [Paper] [Pre-print] [Supplement]
  13. Taljaard M, Li F, Qin B, Cui C, Zhang L, Nicholls SG, Carroll K, Mitchell SL (2021). Methodological challenges in pragmatic trials in Alzheimer’s disease and related dementias: Opportunities for improvement. Clinical Trials. [Paper] [Supplement]
  14. Tong G, Seal K, Becker W, Li F, Dziura J, Peduzzi PN, Esserman DA (2021). Impact of complex, partially nested clustering in a three-arm individually randomized group treatment trial: A case study with the wHOPE trial. Clinical Trials. [Paper] [Supplement]
  15. Tian Z, Preisser JS, Esserman DA, Turner EL, Rathouz PJ, Li F (2021). Impact of unequal cluster sizes for GEE analyses of stepped wedge cluster randomized trials with binary outcomes. Biometrical Journal. [Paper] [Supplement]
  16. Yang S*, Li F, Thomas LE, Li F (2021). Covariate adjustment in subgroup analyses of randomized clinical trials: A propensity score approach. Clinical Trials. 18(5), 570-581. [Paper] [Supplement] (*Finalist of 2021 Society of Clinical Trials Thomas C. Chalmers Student Scholarship*)
  17. Hu L, Ji J, Li F (2021). Estimating heterogeneous survival treatment effect in observational data using machine learning. Statistics in Medicine. 40(21), 4691-4713. [Paper] [Supplement]
  18. Wang Y, Jiang Y, Wei D, Singh P, Yu Y, Lee T, Zhang L, Mandl HK, Piotrowski-Daspit AS, Chen X, Li F, Li X, Cheng Y, Josowitz A, Yang F, Zhao Y, Wang F, Zhao Z, Huttner A, Bindra RS, Xiao H, Saltzman WM (2021). Nanoparticle-mediated convection-enhanced delivery of a DNA intercalator to gliomas circumvents temozolomide resistance. Nature Biomedical Engineering. [Paper]
  19. Nugent J, Aklilu A, Yamamoto Y, Simonov M, Li F, Biswas A, Ghazi L, Greenberg J, Mansour S, Moledina D, Wilson FP (2021). Assessment of acute kidney injury and longitudinal kidney function after hospital discharge among patients with and without COVID-19. JAMA Network Open. 4(3), e211095. [Paper]
  20. Li F, Tong G (2021). Sample size and power considerations for cluster randomized trials with count outcomes subject to right truncation. Biometrical Journal. 63(5), 1052-1071. [Paper] [Supplement_rev2]
  21. Li F, Tong G (2021). Sample size estimation for modified Poisson analysis of cluster randomized trials with a binary outcome. Statistical Methods in Medical Research. 30(5), 1288-1305. [Paper] [Supplement_FINAL]
  22. Li F, Yu H, Rathouz PJ, Turner EL, Preisser JS (2021). Marginal modeling of cluster-period means and intraclass correlations in stepped wedge designs with a binary outcome. Biostatistics. [Paper] [Pre-print] [Supplement]

2020:

  1. Zeng S, Li F, Wang R, Li F (2020). Propensity score weighting for covariate adjustment in randomized clinical trials. Statistics in Medicine. [Paper] [Supplement]
  2. Wegienka G, Stewart EA, Nicholson WK, Zhang S, Li F, Thomas L, Spies JB, Venable S, Laughlin-Tommaso S, Diamond MP, Anchan RM, Maxwell GL, Marsh EE, Myers ER, Vines AI, Wise LA, Wallace K, Jacoby VL (2020). Black women are more likely than White women to schedule a uterine-sparing treatment for Leiomyomas. Journal of Women’s Health. [Paper]
  3. Shung D, Tsay C, Laine L, Chang D, Li F, Thomas P, Partridge C, Simonov M, Hsiao A, Tay KJ, Taylor A (2020). Early identification of patients with acute gastrointestinal bleeding using natural language processing and decision rules. Journal of Gastroenterology and Hepatology. [Paper]
  4. Wilson FP, Martin M, Yamamoto Y, Partridge C, Moreira E, Arora T, Biswas A, Feldman H, Garg AX, Greenberg JH, Hinchcliff M, Latham S, Li F, Lin H, Mansour S, Moledina D, Palevsky PM, Parikh CR, Simonov M, Testani J, Ugwuowo U (2020). Electronic health record alerts for acute kidney injury: A multi-center randomized clinical trial. BMJ. [Paper]
  5. Yu H, Tong G, Li F (2020). A note on the estimation and inference with quadratic inference functions for correlated outcomes. Communications in Statistics – Simulation and Computation. [Paper] [Link to paper]
  6. Yang S, Li F, Starks MA, Hernandez AF, Mentz RJ, Choudhury KR (2020). Sample size requirements for detecting treatment effect heterogeneity in cluster randomized trials. Statistics in Medicine. 39(28), 4218-4237. [Paper] [Supplement]
  7. Yu H, Li F, Turner EL (2020). An evaluation of quadratic inference functions for estimating intervention effects in cluster randomized trials. Contemporary Clinical Trials Communications. 19:100605. [Paper]
  8. Li F, Hughes JP, Hemming K, Taljaard M, Melnick ER, Heagerty PJ (2020). Mixed-effects models for the design and analysis of stepped wedge cluster randomized trials: An overview. Statistical Methods in Medical Research. [Paper]
  9. Lu L, Li F, Wen H, Ge S, Zeng J, Luo W, Wang L, Tang C, Xu N (2020). An evidence mapping and analysis of registered COVID-19 clinical trials in China. BMC Medicine. 18(167), 1-10. [Paper]
  10. Li F, Allen AS (2020). Secondary analysis of case-control association studies: Insights on weighting-based inference motivate a new specification test. Statistics in Medicine. 39(22), 2869-2882. [Paper] [Supplement]
  11. Allore H, Goldfeld K, Gutman R, Li F, Monin J, Taljaard M, Travison T (2020). Statistical considerations for embedded pragmatic clinical trials in people living with dementia. Journal of the American Geriatrics Society. 68(S2), S68-S73. [Paper]
  12. Li F, Harhay MO (2020). Commentary: Right truncation in cluster randomized trials can attenuate the power of a marginal analysis. International Journal of Epidemiology. 49(3), 964-967. [Paper]
  13. Li F (2020). Comment: Stabilizing the doubly-robust estimators of the average treatment effect under positivity violations. Statistical Science. 35(3), 503-510. [Paper] [Pre-print]
  14. Gallis JA, Li F, Turner EL (2020). xtgeebcv: A command for bias-corrected sandwich variance estimation for GEE analyses of cluster randomized trials. The Stata Journal. 20(2), 363-381. [Paper]
  15. Li F (2020). Design and analysis considerations for cohort stepped wedge cluster randomized trials with a decay correlation structure. Statistics in Medicine. 39(4), 438-455. [Paper] [Supplement]
  16. Majoros WH, Barrera A, Kim Y-S, Li F, Wang X, Cunningham SJ, Johnson GD, Guo C, Lowe WL, Scholtens DM, Hayes MG, Reddy TE, Allen AS (2020). Bayesian estimation of genetic regulatory effects in high-throughput reporter assays. Bioinformatics. 36(2), 331-338. [Paper]
  17. Turner EL, Yao L, Li F, Prague M (2020). Properties and pitfalls of weighting as an alternative to multilevel multiple imputation in cluster randomized trials with missing binary outcomes under covariate-dependent missingness. Statistical Methods in Medical Research. 29(5), 1338-1353. [Paper] [Supplement]
  18. Logan J, Bauer C, Ke J, Xu H, Li F (2020). Models for small area estimation for Census Tracts. Geographical Analysis. 52(3), 325-350. [Paper]

2019:

  1. Li F*, Li F (2019). Propensity score weighting for causal inference with multiple treatments. The Annals of Applied Statistics. 13(4), 2389-2415. [Paper] [Preprint] [Supplement] (*Winner of 2019 JSM Student Paper Award, ASA Biometrics Section*)
  2. Li F, Li K, Li C, Luo S (2019). Predicting the risk of Huntington’s disease with multiple longitudinal biomarkers. Journal of Huntington’s Disease. 8(3), 323-332. [Paper] [PMC Full Text]
  3. Yu H, Li F, Gallis JA, Turner EL (2019). cvcrand: A package for covariate-constrained randomization and the clustered permutation test for cluster randomization trials. The R Journal. 11(2), 191-204. [Paper] [R Package]
  4. Li F, Li F (2019). Double-robust estimation in difference-in-differences with an application to traffic safety evaluation. Observational Studies. 5, 1-20. [Paper]
  5. Li F, Forbes AB, Turner EL, Preisser JS (2019). Power and sample size requirements for GEE analyses of cluster randomized crossover trials. Statistics in Medicine. 38(4), 636-649. [Paper] [Supplement]
  6. Li F, Thomas LE, Li F (2019). Addressing extreme propensity scores via the overlap weights. American Journal of Epidemiology. 188(1), 250-257. [Paper] [Supplement]

2018:

  1. Li F*, Turner EL, Preisser JS (2018). Sample size determination for GEE analyses of stepped wedge cluster randomized trials. Biometrics. 74(4), 1450-1458. [Paper] [Supplement] (*Winner of 2018 ENAR Distinguished Student Paper Award*)
  2. Logan J, Foster A, Ke J, Li F (2018). The uptick in income segregation: Real trend or random sampling variation? American Journal of Sociology. 124(1), 185-222. [Paper] [Pre-print]
  3. Gallis JA, Li F, Yu H, Turner EL (2018). cvcrand and cptest: Commands for efficient design and analysis of cluster randomized trials using constrained randomization and permutation tests. The Stata Journal. 18(2), 357-378. [Paper] [Pre-print]
  4. Li F, Turner EL, Preisser JS (2018). Optimal allocation of clusters in cohort stepped wedge designs. Statistics and Probability Letters. 137, 257-263. [Paper]

2017:

  1. Zinszer B, Rolotti S, Li F, Li P (2017). Bayesian word learning in multiple language environments. Cognitive Science. 42(S2), 439-462. [Paper]
  2. Assel MJ , Li F , Wang Y , Allen AS, Baggerly KA, Vickers AJ (2017). Genetic polymorphisms of CFH and ARMS2 do not predict response to antioxidants and zinc in patients with Age-Related Macular Degeneration: Independent statistical evaluations of data from the Age-Related Eye Disease Study. Ophthalmology. 125(3), 391-397. [Paper]
  3. Li F, Turner EL, Heagerty PJ, Murray DM, Vollmer W, DeLong ER (2017). An evaluation of constrained randomization for the design and analysis of group-randomized trials with binary outcomes. Statistics in Medicine. 36(24), 3791-3806. [Paper] [Supplement]
  4. Brennan JM, Thomas L, Cohen DJ, Shahian S, Wang A, Mack MJ, Holmes DR, Edwards FH, Frankel NZ, Baron SJ, Carroll J, Thourani V, Tuzcu EM, Arnold SV, Cohn R, Maser T, Schawe B, Strong S, Stickfort A, Patrick-Lake E, Graham FL, Dai D, Li F, Matsouaka RA, OBrien S, Li F, Pencina MJ, Peterson ED (2017). Transcatheter versus surgical aortic valve replacement: propensity-matched comparison. Journal of the American College of Cardiology. 70(4), 439-450. [Paper]
  5. Turner EL, Prague M, Gallis J, Li F, Murray DM (2017). Review of recent methodological developments in group-randomized trials: Part 2–Analysis. American Journal of Public Health. 107(7), 1078-1086. [Paper] [Supplement]
  6. Turner EL, Li F, Gallis J, Prague M, Murray DM (2017). Review of recent methodological developments in group-randomized trials: Part 1–Design. American Journal of Public Health. 107(6), 907-915. [Paper] [Supplement]

2016 and prior:

  1. Benjamin Neelon SE, Mayhew M, O’Neill JR, Neelon B, Li F, Pate RR (2016). Comparative evaluation of a South Carolina policy to improve nutrition in child care. Journal of the Academy of Nutrition and Dietetics. 116(6), 949-956. [Paper]
  2. Li F, Lokhnygina Y, Murray DM, Heagerty PJ, DeLong ER (2016). An evaluation of constrained randomization for the design and analysis of group-randomized trials. Statistics in Medicine. 35(10), 1565-1579. [Paper] [Supplement]
  3. Neelon B, Li F*, Burgette LF, Benjamin Neelon SE (2015). A spatiotemporal quantile regression model for emergency department expenditures. Statistics in Medicine. 34(17), 2559-2575. [Paper] [Supplement] (*Winner of 2015 ICHPS Student Travel Award*)