Fan Li, PhD
Associate Professor of Biostatistics
Research & Publications
Biography
News
Locations
Coauthors
Selected Publications
- A Multimodal Video-Based AI Biomarker for Aortic Stenosis Development and ProgressionOikonomou E, Holste G, Yuan N, Coppi A, McNamara R, Haynes N, Vora A, Velazquez E, Li F, Menon V, Kapadia S, Gill T, Nadkarni G, Krumholz H, Wang Z, Ouyang D, Khera R. A Multimodal Video-Based AI Biomarker for Aortic Stenosis Development and Progression. JAMA Cardiology 2024, 9: 534-544. PMID: 38581644, PMCID: PMC10999005, DOI: 10.1001/jamacardio.2024.0595.
- Optimal designs using generalized estimating equations in cluster randomized crossover and stepped wedge trials.Liu J, Li F. Optimal designs using generalized estimating equations in cluster randomized crossover and stepped wedge trials. Stat Methods Med Res 2024, 9622802241247717. PMID: 38813761, DOI: 10.1177/09622802241247717.
- Maintaining the validity of inference from linear mixed models in stepped-wedge cluster randomized trials under misspecified random-effects structures.Ouyang Y, Taljaard M, Forbes A, Li F. Maintaining the validity of inference from linear mixed models in stepped-wedge cluster randomized trials under misspecified random-effects structures. Statistical Methods In Medical Research 2024, 9622802241248382. PMID: 38807552, DOI: 10.1177/09622802241248382.
- Demystifying estimands in cluster-randomised trials.Kahan B, Blette B, Harhay M, Halpern S, Jairath V, Copas A, Li F. Demystifying estimands in cluster-randomised trials. Statistical Methods In Medical Research 2024, 9622802241254197. PMID: 38780480, DOI: 10.1177/09622802241254197.
- Sample size and power calculation for testing treatment effect heterogeneity in cluster randomized crossover designs.Wang X, Chen X, Goldfeld K, Taljaard M, Li F. Sample size and power calculation for testing treatment effect heterogeneity in cluster randomized crossover designs. Statistical Methods In Medical Research 2024, 9622802241247736. PMID: 38689556, DOI: 10.1177/09622802241247736.
- Causal interpretation of the hazard ratio in randomized clinical trials.Fay M, Li F. Causal interpretation of the hazard ratio in randomized clinical trials. Clinical Trials 2024, 17407745241243308. PMID: 38679930, DOI: 10.1177/17407745241243308.
- Reply to Heitjan's commentary.Fay M, Li F. Reply to Heitjan's commentary. Clinical Trials 2024, 17407745241243311. PMID: 38679936, DOI: 10.1177/17407745241243311.
- Assessing treatment effect heterogeneity in the presence of missing effect modifier data in cluster-randomized trialsBlette B, Halpern S, Li F, Harhay M. Assessing treatment effect heterogeneity in the presence of missing effect modifier data in cluster-randomized trials. Statistical Methods In Medical Research 2024, 33: 909-927. PMID: 38567439, PMCID: PMC11041086, DOI: 10.1177/09622802241242323.
- Doubly robust estimation and sensitivity analysis for marginal structural quantile modelsCheng C, Hu L, Li F. Doubly robust estimation and sensitivity analysis for marginal structural quantile models. Biometrics 2024, 80: ujae045. PMID: 38884127, DOI: 10.1093/biomtc/ujae045.
- Multiply robust generalized estimating equations for cluster randomized trials with missing outcomesRabideau D, Li F, Wang R. Multiply robust generalized estimating equations for cluster randomized trials with missing outcomes. Statistics In Medicine 2024, 43: 1458-1474. PMID: 38488532, DOI: 10.1002/sim.10027.
- Bayesian semi-parametric inference for clustered recurrent events with zero inflation and a terminal eventTian X, Ciarleglio M, Cai J, Greene E, Esserman D, Li F, Zhao Y. Bayesian semi-parametric inference for clustered recurrent events with zero inflation and a terminal event. Journal Of The Royal Statistical Society Series C (Applied Statistics) 2024, 73: 598-620. DOI: 10.1093/jrsssc/qlae003.
- A BAYESIAN MACHINE LEARNING APPROACH FOR ESTIMATING HETEROGENEOUS SURVIVOR CAUSAL EFFECTS: APPLICATIONS TO A CRITICAL CARE TRIAL.Chen X, Harhay M, Tong G, Li F. A BAYESIAN MACHINE LEARNING APPROACH FOR ESTIMATING HETEROGENEOUS SURVIVOR CAUSAL EFFECTS: APPLICATIONS TO A CRITICAL CARE TRIAL. The Annals Of Applied Statistics 2024, 18: 350-374. PMID: 38455841, PMCID: PMC10919396, DOI: 10.1214/23-aoas1792.
- Association of marital/partner status with hospital readmission among young adults with acute myocardial infarction.Zhu C, Dreyer R, Li F, Spatz E, Caraballo C, Mahajan S, Raparelli V, Leifheit E, Lu Y, Krumholz H, Spertus J, D'Onofrio G, Pilote L, Lichtman J. Association of marital/partner status with hospital readmission among young adults with acute myocardial infarction. PLOS ONE 2024, 19: e0287949. PMID: 38277368, PMCID: PMC10817183, DOI: 10.1371/journal.pone.0287949.
- Transporting randomized trial results to estimate counterfactual survival functions in target populationsCao Z, Cho Y, Li F. Transporting randomized trial results to estimate counterfactual survival functions in target populations. Pharmaceutical Statistics 2024 PMID: 38233102, DOI: 10.1002/pst.2354.
- Model-Robust and Efficient Covariate Adjustment for Cluster-Randomized ExperimentsWang B, Park C, Small D, Li F. Model-Robust and Efficient Covariate Adjustment for Cluster-Randomized Experiments. Journal Of The American Statistical Association 2024, ahead-of-print: 1-13. DOI: 10.1080/01621459.2023.2289693.
- Correction: Sample Size Requirements to Test Subgroup-Specific Treatment Effects in Cluster-Randomized TrialsWang X, Goldfeld K, Taljaard M, Li F. Correction: Sample Size Requirements to Test Subgroup-Specific Treatment Effects in Cluster-Randomized Trials. Prevention Science 2024, 1-1. PMID: 38180545, DOI: 10.1007/s11121-023-01615-0.
- Patient Priorities–Aligned Care for Older Adults With Multiple ConditionsTinetti M, Hashmi A, Ng H, Doyle M, Goto T, Esterson J, Naik A, Dindo L, Li F. Patient Priorities–Aligned Care for Older Adults With Multiple Conditions. JAMA Network Open 2024, 7: e2352666. PMID: 38261319, PMCID: PMC10807252, DOI: 10.1001/jamanetworkopen.2023.52666.
- CRTFASTGEEPWR: A SAS Macro for Power of Generalized Estimating Equations Analysis of Multi-Period Cluster Randomized Trials with Application to Stepped Wedge DesignsZhang Y, Preisser J, Li F, Turner E, Rathouz P. CRTFASTGEEPWR: A SAS Macro for Power of Generalized Estimating Equations Analysis of Multi-Period Cluster Randomized Trials with Application to Stepped Wedge Designs. Journal Of Statistical Software 2024, 108: 1-27. DOI: 10.18637/jss.v108.c01.
- Planning stepped wedge cluster randomized trials to detect treatment effect heterogeneityLi F, Chen X, Tian Z, Wang R, Heagerty P. Planning stepped wedge cluster randomized trials to detect treatment effect heterogeneity. Statistics In Medicine 2023, 43: 890-911. PMID: 38115805, DOI: 10.1002/sim.9990.
- Group sequential two‐stage preference designsLiu R, Li F, Esserman D, Ryan M. Group sequential two‐stage preference designs. Statistics In Medicine 2023, 43: 315-341. PMID: 38010193, DOI: 10.1002/sim.9962.
- Designing individually randomized group treatment trials with repeated outcome measurements using generalized estimating equationsWang X, Turner E, Li F. Designing individually randomized group treatment trials with repeated outcome measurements using generalized estimating equations. Statistics In Medicine 2023, 43: 358-378. PMID: 38009329, PMCID: PMC10939061, DOI: 10.1002/sim.9966.
- Adherence to key recommendations for design and analysis of stepped-wedge cluster randomized trials: A review of trials published 2016–2022Nevins P, Ryan M, Davis-Plourde K, Ouyang Y, Macedo J, Meng C, Tong G, Wang X, Ortiz-Reyes L, Caille A, Li F, Taljaard M. Adherence to key recommendations for design and analysis of stepped-wedge cluster randomized trials: A review of trials published 2016–2022. Clinical Trials 2023, 21: 199-210. PMID: 37990575, PMCID: PMC11003836, DOI: 10.1177/17407745231208397.
- A mixed model approach to estimate the survivor average causal effect in cluster‐randomized trialsWang W, Tong G, Hirani S, Newman S, Halpern S, Small D, Li F, Harhay M. A mixed model approach to estimate the survivor average causal effect in cluster‐randomized trials. Statistics In Medicine 2023, 43: 16-33. PMID: 37985966, DOI: 10.1002/sim.9939.
- Sample Size Requirements to Test Subgroup-Specific Treatment Effects in Cluster-Randomized TrialsWang X, Goldfeld K, Taljaard M, Li F. Sample Size Requirements to Test Subgroup-Specific Treatment Effects in Cluster-Randomized Trials. Prevention Science 2023, 1-15. PMID: 37816835, PMCID: PMC11004667, DOI: 10.1007/s11121-023-01590-6.
- Designing multicenter individually randomized group treatment trialsTong G, Tong J, Li F. Designing multicenter individually randomized group treatment trials. Biometrical Journal 2023, 66: e2200307. PMID: 37768850, DOI: 10.1002/bimj.202200307.
- Sample size requirements for testing treatment effect heterogeneity in cluster randomized trials with binary outcomesMaleyeff L, Wang R, Haneuse S, Li F. Sample size requirements for testing treatment effect heterogeneity in cluster randomized trials with binary outcomes. Statistics In Medicine 2023, 42: 5054-5083. PMID: 37974475, PMCID: PMC10659142, DOI: 10.1002/sim.9901.
- Competing risks regression for clustered survival data via the marginal additive subdistribution hazards modelChen X, Esserman D, Li F. Competing risks regression for clustered survival data via the marginal additive subdistribution hazards model. Statistica Neerlandica 2023, 78: 281-301. DOI: 10.1111/stan.12317.
- Estimating the causal effects of multiple intermittent treatments with application to COVID-19Hu L, Ji J, Joshi H, Scott E, Li F. Estimating the causal effects of multiple intermittent treatments with application to COVID-19. Journal Of The Royal Statistical Society Series C (Applied Statistics) 2023, 72: 1162-1186. PMID: 34981032, PMCID: PMC8722604, DOI: 10.1093/jrsssc/qlad076.
- Information content of stepped wedge designs under the working independence assumptionTian Z, Li F. Information content of stepped wedge designs under the working independence assumption. Journal Of Statistical Planning And Inference 2023, 229: 106097. PMID: 37954217, PMCID: PMC10634667, DOI: 10.1016/j.jspi.2023.106097.
- Impact of Marital Stress on 1‐Year Health Outcomes Among Young Adults With Acute Myocardial InfarctionZhu C, Dreyer R, Li F, Spatz E, Caraballo‐Cordovez C, Mahajan S, Raparelli V, Leifheit E, Lu Y, Krumholz H, Spertus J, D'Onofrio G, Pilote L, Lichtman J. Impact of Marital Stress on 1‐Year Health Outcomes Among Young Adults With Acute Myocardial Infarction. Journal Of The American Heart Association 2023, 12: e030031. PMID: 37589125, PMCID: PMC10547344, DOI: 10.1161/jaha.123.030031.
- Informative cluster size in cluster-randomised trials: A case study from the TRIGGER trialKahan B, Li F, Blette B, Jairath V, Copas A, Harhay M. Informative cluster size in cluster-randomised trials: A case study from the TRIGGER trial. Clinical Trials 2023, 20: 661-669. PMID: 37439089, PMCID: PMC10638852, DOI: 10.1177/17407745231186094.
- Maximin optimal cluster randomized designs for assessing treatment effect heterogeneityRyan M, Esserman D, Li F. Maximin optimal cluster randomized designs for assessing treatment effect heterogeneity. Statistics In Medicine 2023, 42: 3764-3785. PMID: 37339777, PMCID: PMC10510425, DOI: 10.1002/sim.9830.
- Sample size considerations for assessing treatment effect heterogeneity in randomized trials with heterogeneous intracluster correlations and variancesTong G, Taljaard M, Li F. Sample size considerations for assessing treatment effect heterogeneity in randomized trials with heterogeneous intracluster correlations and variances. Statistics In Medicine 2023, 42: 3392-3412. PMID: 37316956, DOI: 10.1002/sim.9811.
- Correction: Accounting for expected attrition in the planning of cluster randomized trials for assessing treatment effect heterogeneityTong J, Li F, Harhay M, Tong G. Correction: Accounting for expected attrition in the planning of cluster randomized trials for assessing treatment effect heterogeneity. BMC Medical Research Methodology 2023, 23: 135. PMID: 37286955, PMCID: PMC10246095, DOI: 10.1186/s12874-023-01932-6.
- Is low-risk status a surrogate outcome in pulmonary arterial hypertension? An analysis of three randomised trialsBlette B, Moutchia J, Al-Naamani N, Ventetuolo C, Cheng C, Appleby D, Urbanowicz R, Fritz J, Mazurek J, Li F, Kawut S, Harhay M. Is low-risk status a surrogate outcome in pulmonary arterial hypertension? An analysis of three randomised trials. The Lancet Respiratory Medicine 2023, 11: 873-882. PMID: 37230098, PMCID: PMC10592525, DOI: 10.1016/s2213-2600(23)00155-8.
- Estimating intra-cluster correlation coefficients for planning longitudinal cluster randomized trials: a tutorialOuyang Y, Hemming K, Li F, Taljaard M. Estimating intra-cluster correlation coefficients for planning longitudinal cluster randomized trials: a tutorial. International Journal Of Epidemiology 2023, 52: 1634-1647. PMID: 37196320, PMCID: PMC10555741, DOI: 10.1093/ije/dyad062.
- A randomized clinical trial assessing the effect of automated medication-targeted alerts on acute kidney injury outcomesWilson F, Yamamoto Y, Martin M, Coronel-Moreno C, Li F, Cheng C, Aklilu A, Ghazi L, Greenberg J, Latham S, Melchinger H, Mansour S, Moledina D, Parikh C, Partridge C, Testani J, Ugwuowo U. A randomized clinical trial assessing the effect of automated medication-targeted alerts on acute kidney injury outcomes. Nature Communications 2023, 14: 2826. PMID: 37198160, PMCID: PMC10192367, DOI: 10.1038/s41467-023-38532-3.
- ORTH.Ord: An R package for analyzing correlated ordinal outcomes using alternating logistic regressions with orthogonalized residualsMeng C, Ryan M, Rathouz P, Turner E, Preisser J, Li F. ORTH.Ord: An R package for analyzing correlated ordinal outcomes using alternating logistic regressions with orthogonalized residuals. Computer Methods And Programs In Biomedicine 2023, 237: 107567. PMID: 37207384, DOI: 10.1016/j.cmpb.2023.107567.
- Causal Bayesian machine learning to assess treatment effect heterogeneity by dexamethasone dose for patients with COVID-19 and severe hypoxemiaBlette B, Granholm A, Li F, Shankar-Hari M, Lange T, Munch M, Møller M, Perner A, Harhay M. Causal Bayesian machine learning to assess treatment effect heterogeneity by dexamethasone dose for patients with COVID-19 and severe hypoxemia. Scientific Reports 2023, 13: 6570. PMID: 37085591, PMCID: PMC10120498, DOI: 10.1038/s41598-023-33425-3.
- Leveraging baseline covariates to analyze small cluster‐randomized trials with a rare binary outcomeZhu A, Mitra N, Hemming K, Harhay M, Li F. Leveraging baseline covariates to analyze small cluster‐randomized trials with a rare binary outcome. Biometrical Journal 2023, 66: e2200135. PMID: 37035941, PMCID: PMC10562517, DOI: 10.1002/bimj.202200135.
- Accounting for expected attrition in the planning of cluster randomized trials for assessing treatment effect heterogeneityTong J, Li F, Harhay M, Tong G. Accounting for expected attrition in the planning of cluster randomized trials for assessing treatment effect heterogeneity. BMC Medical Research Methodology 2023, 23: 85. PMID: 37024809, PMCID: PMC10077680, DOI: 10.1186/s12874-023-01887-8.
- Accounting for complex intracluster correlations in longitudinal cluster randomized trials: a case study in malaria vector controlOuyang Y, Kulkarni M, Protopopoff N, Li F, Taljaard M. Accounting for complex intracluster correlations in longitudinal cluster randomized trials: a case study in malaria vector control. BMC Medical Research Methodology 2023, 23: 64. PMID: 36932347, PMCID: PMC10021932, DOI: 10.1186/s12874-023-01871-2.
- A scoping review described diversity in methods of randomization and reporting of baseline balance in stepped-wedge cluster randomized trialsNevins P, Davis-Plourde K, Pereira Macedo J, Ouyang Y, Ryan M, Tong G, Wang X, Meng C, Ortiz-Reyes L, Li F, Caille A, Taljaard M. A scoping review described diversity in methods of randomization and reporting of baseline balance in stepped-wedge cluster randomized trials. Journal Of Clinical Epidemiology 2023, 157: 134-145. PMID: 36931478, PMCID: PMC10546924, DOI: 10.1016/j.jclinepi.2023.03.010.
- Mediation analysis in the presence of continuous exposure measurement errorCheng C, Spiegelman D, Li F. Mediation analysis in the presence of continuous exposure measurement error. Statistics In Medicine 2023, 42: 1669-1686. PMID: 36869626, DOI: 10.1002/sim.9693.
- Abstract P405: Low Social Support Mediates the Effect of Marital Stress on 12-month Cardiac-Specific Quality of Life in Young Adults With Acute Myocardial InfarctionZhu C, Dreyer R, Li F, Spatz E, Caraballo C, Mahajan S, Raparelli V, Leifheit E, Lu Y, Krumholz H, Spertus J, DONOFRIO G, Pilote L, Lichtman J. Abstract P405: Low Social Support Mediates the Effect of Marital Stress on 12-month Cardiac-Specific Quality of Life in Young Adults With Acute Myocardial Infarction. Circulation 2023, 147: ap405-ap405. DOI: 10.1161/circ.147.suppl_1.p405.
- A Bayesian Approach for Estimating the Survivor Average Causal Effect When Outcomes Are Truncated by Death in Cluster-Randomized TrialsTong G, Li F, Chen X, Hirani S, Newman S, Wang W, Harhay M. A Bayesian Approach for Estimating the Survivor Average Causal Effect When Outcomes Are Truncated by Death in Cluster-Randomized Trials. American Journal Of Epidemiology 2023, 192: 1006-1015. PMID: 36799630, PMCID: PMC10236525, DOI: 10.1093/aje/kwad038.
- Eliminating Ambiguous Treatment Effects Using EstimandsKahan B, Cro S, Li F, Harhay M. Eliminating Ambiguous Treatment Effects Using Estimands. American Journal Of Epidemiology 2023, 192: 987-994. PMID: 36790803, PMCID: PMC10236519, DOI: 10.1093/aje/kwad036.
- GEEMAEE: A SAS macro for the analysis of correlated outcomes based on GEE and finite-sample adjustments with application to cluster randomized trialsZhang Y, Preisser J, Li F, Turner E, Toles M, Rathouz P. 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 2023, 230: 107362. PMID: 36709555, PMCID: PMC10037297, DOI: 10.1016/j.cmpb.2023.107362.
- Addressing substantial covariate imbalance with propensity score stratification and balancing weights: connections and recommendationsThomas L, Thomas S, Li F, Matsouaka R. Addressing substantial covariate imbalance with propensity score stratification and balancing weights: connections and recommendations. Epidemiologic Methods 2023, 12: 20220131. PMID: 38013684, PMCID: PMC10637625, DOI: 10.1515/em-2022-0131.
- Health equity considerations in pragmatic trials in Alzheimer's and dementia disease: Results from a methodological reviewNicholls S, Al‐Jaishi A, Niznick H, Carroll K, Madani M, Peak K, Madani L, Nevins P, Adisso L, Li F, Weijer C, Mitchell S, Welch V, Quiñones A, Taljaard M. Health equity considerations in pragmatic trials in Alzheimer's and dementia disease: Results from a methodological review. Alzheimer's & Dementia Diagnosis Assessment & Disease Monitoring 2023, 15: e12392. PMID: 36777091, PMCID: PMC9899766, DOI: 10.1002/dad2.12392.
- Improving sandwich variance estimation for marginal Cox analysis of cluster randomized trialsWang X, Turner E, Li F. Improving sandwich variance estimation for marginal Cox analysis of cluster randomized trials. Biometrical Journal 2022, 65: e2200113. PMID: 36567265, PMCID: PMC10482495, DOI: 10.1002/bimj.202200113.
- Power analyses for stepped wedge designs with multivariate continuous outcomesDavis‐Plourde K, Taljaard M, Li F. Power analyses for stepped wedge designs with multivariate continuous outcomes. Statistics In Medicine 2022, 42: 559-578. PMID: 36565050, PMCID: PMC9985483, DOI: 10.1002/sim.9632.
- power swgee: GEE-based power calculations in stepped wedge cluster randomized trialsGallis J, Wang X, Rathouz P, Preisser J, Li F, Turner E. power swgee: GEE-based power calculations in stepped wedge cluster randomized trials. The Stata Journal Promoting Communications On Statistics And Stata 2022, 22: 811-841. PMID: 36968149, PMCID: PMC10035664, DOI: 10.1177/1536867x221140953.
- Assessing Exposure-Time Treatment Effect Heterogeneity in Stepped-Wedge Cluster Randomized TrialsMaleyeff L, Li F, Haneuse S, Wang R. Assessing Exposure-Time Treatment Effect Heterogeneity in Stepped-Wedge Cluster Randomized Trials. Biometrics 2022, 79: 2551-2564. PMID: 36416302, PMCID: PMC10203056, DOI: 10.1111/biom.13803.
- Simulating time-to-event data subject to competing risks and clustering: A review and synthesisMeng C, Esserman D, Li F, Zhao Y, Blaha O, Lu W, Wang Y, Peduzzi P, Greene E. Simulating time-to-event data subject to competing risks and clustering: A review and synthesis. Statistical Methods In Medical Research 2022, 32: 305-333. PMID: 36412111, DOI: 10.1177/09622802221136067.
- Effect of intravenous antihypertensives on outcomes of severe hypertension in hospitalized patients without acute target organ damageGhazi L, Li F, Simonov M, Yamamoto Y, Nugent J, Greenberg J, Bakhoum C, Peixoto A, Wilson F. Effect of intravenous antihypertensives on outcomes of severe hypertension in hospitalized patients without acute target organ damage. Journal Of Hypertension 2022, 41: 288-294. PMID: 36583354, PMCID: PMC9799038, DOI: 10.1097/hjh.0000000000003328.
- Abstract 14359: Impact of Marital Stress on 12-month Health Outcomes Among Young Adults With Acute Myocardial InfarctionZhu C, Dreyer R, Li F, Spatz E, Caraballo C, Mahajan S, Raparelli V, Leifheit E, Lu Y, Krumholz H, Spertus J, DONOFRIO G, Pilote L, Lichtman J. Abstract 14359: Impact of Marital Stress on 12-month Health Outcomes Among Young Adults With Acute Myocardial Infarction. Circulation 2022, 146: a14359-a14359. DOI: 10.1161/circ.146.suppl_1.14359.
- A general method for calculating power for GEE analysis of complete and incomplete stepped wedge cluster randomized trialsZhang Y, Preisser JS, Turner EL, Rathouz PJ, Toles M, Li F. A general method for calculating power for GEE analysis of complete and incomplete stepped wedge cluster randomized trials. Statistical Methods In Medical Research 2022, 32: 71-87. PMID: 36253078, PMCID: PMC9814029, DOI: 10.1177/09622802221129861.
- Generalizing the information content for stepped wedge designs: A marginal modeling approachLi F, Kasza J, Turner E, Rathouz P, Forbes A, Preisser J. Generalizing the information content for stepped wedge designs: A marginal modeling approach. Scandinavian Journal Of Statistics 2022, 50: 1048-1067. PMID: 37601275, PMCID: PMC10434823, DOI: 10.1111/sjos.12615.
- Is the Product Method More Efficient Than the Difference Method for Assessing Mediation?Cheng C, Spiegelman D, Li F. Is the Product Method More Efficient Than the Difference Method for Assessing Mediation? American Journal Of Epidemiology 2022, 192: 84-92. PMID: 35921210, PMCID: PMC10144745, DOI: 10.1093/aje/kwac144.
- Design and analysis of cluster randomized trials with time‐to‐event outcomes under the additive hazards mixed modelBlaha O, Esserman D, Li F. Design and analysis of cluster randomized trials with time‐to‐event outcomes under the additive hazards mixed model. Statistics In Medicine 2022, 41: 4860-4885. PMID: 35908796, PMCID: PMC9588628, DOI: 10.1002/sim.9541.
- Designing three-level cluster randomized trials to assess treatment effect heterogeneityLi F, Chen X, Tian Z, Esserman D, Heagerty PJ, Wang R. Designing three-level cluster randomized trials to assess treatment effect heterogeneity. Biostatistics 2022, 24: 833-849. PMID: 35861621, PMCID: PMC10583727, DOI: 10.1093/biostatistics/kxac026.
- Missing DataTong G, Li F, Allen A. Missing Data. 2022, 1681-1701. DOI: 10.1007/978-3-319-52636-2_117.
- Estimands in cluster-randomized trials: choosing analyses that answer the right questionKahan BC, Li F, Copas AJ, Harhay MO. Estimands in cluster-randomized trials: choosing analyses that answer the right question. International Journal Of Epidemiology 2022, 52: 107-118. PMID: 35834775, PMCID: PMC9908044, DOI: 10.1093/ije/dyac131.
- Sample size calculators for planning stepped-wedge cluster randomized trials: a review and comparisonOuyang Y, Li F, Preisser JS, Taljaard M. Sample size calculators for planning stepped-wedge cluster randomized trials: a review and comparison. International Journal Of Epidemiology 2022, 51: 2000-2013. PMID: 35679584, PMCID: PMC9749719, DOI: 10.1093/ije/dyac123.
- Pragmatic clinical trial design in emergency medicine: Study considerations and design typesGettel CJ, Yiadom MYAB, Bernstein SL, Grudzen CR, Nath B, Li F, Hwang U, Hess EP, Melnick ER. Pragmatic clinical trial design in emergency medicine: Study considerations and design types. Academic Emergency Medicine 2022, 29: 1247-1257. PMID: 35475533, PMCID: PMC9790188, DOI: 10.1111/acem.14513.
- Clustered restricted mean survival time regressionChen X, Harhay MO, Li F. Clustered restricted mean survival time regression. Biometrical Journal 2022, 65: e2200002. PMID: 35593026, DOI: 10.1002/bimj.202200002.
- Power Analysis for Cluster Randomized Trials with Continuous Coprimary EndpointsYang S, Moerbeek M, Taljaard M, Li F. Power Analysis for Cluster Randomized Trials with Continuous Coprimary Endpoints. Biometrics 2022, 79: 1293-1305. PMID: 35531926, DOI: 10.1111/biom.13692.
- Stepped Wedge Cluster Randomized Trials: A Methodological OverviewLi F, Wang R. Stepped Wedge Cluster Randomized Trials: A Methodological Overview. World Neurosurgery 2022, 161: 323-330. PMID: 35505551, PMCID: PMC9074087, DOI: 10.1016/j.wneu.2021.10.136.
- Design and analysis of partially randomized preference trials with propensity score stratificationWang Y, Li F, Blaha O, Meng C, Esserman D. Design and analysis of partially randomized preference trials with propensity score stratification. Statistical Methods In Medical Research 2022, 31: 1515-1537. PMID: 35469503, PMCID: PMC10530658, DOI: 10.1177/09622802221095673.
- Blood pressure response to commonly administered antihypertensives for severe inpatient hypertensionGhazi L, Li F, Chen X, Simonov M, Yamamoto Y, Biswas A, Hanna J, Shah T, Peixoto AJ, Wilson FP. Blood pressure response to commonly administered antihypertensives for severe inpatient hypertension. PLOS ONE 2022, 17: e0265497. PMID: 35385506, PMCID: PMC8985959, DOI: 10.1371/journal.pone.0265497.
- Generalizing trial evidence to target populations in non‐nested designs: Applications to AIDS clinical trialsLi F, Buchanan AL, Cole SR. Generalizing trial evidence to target populations in non‐nested designs: Applications to AIDS clinical trials. Journal Of The Royal Statistical Society Series C (Applied Statistics) 2022, 71: 669-697. PMID: 35968541, PMCID: PMC9367209, DOI: 10.1111/rssc.12550.
- A comparison of analytical strategies for cluster randomized trials with survival outcomes in the presence of competing risksLi F, Lu W, Wang Y, Pan Z, Greene EJ, Meng G, Meng C, Blaha O, Zhao Y, Peduzzi P, Esserman D. A comparison of analytical strategies for cluster randomized trials with survival outcomes in the presence of competing risks. Statistical Methods In Medical Research 2022, 31: 1224-1241. PMID: 35290139, PMCID: PMC10518064, DOI: 10.1177/09622802221085080.
- Finite‐sample adjustments in variance estimators for clustered competing risks regressionChen X, Li F. Finite‐sample adjustments in variance estimators for clustered competing risks regression. Statistics In Medicine 2022, 41: 2645-2664. PMID: 35288959, DOI: 10.1002/sim.9375.
- Severe inpatient hypertension prevalence and blood pressure response to antihypertensive treatmentGhazi L, Li F, Chen X, Simonov M, Yamamoto Y, Biswas A, Hanna J, Shah T, Townsend R, Peixoto A, Wilson FP. Severe inpatient hypertension prevalence and blood pressure response to antihypertensive treatment. Journal Of Clinical Hypertension 2022, 24: 339-349. PMID: 35174627, PMCID: PMC8925013, DOI: 10.1111/jch.14431.
- Constrained randomization and statistical inference for multi‐arm parallel cluster randomized controlled trialsZhou Y, Turner EL, Simmons RA, Li F. Constrained randomization and statistical inference for multi‐arm parallel cluster randomized controlled trials. Statistics In Medicine 2022, 41: 1862-1883. PMID: 35146788, PMCID: PMC9007899, DOI: 10.1002/sim.9333.
- Two weights make a wrong: Cluster randomized trials with variable cluster sizes and heterogeneous treatment effectsWang X, Turner EL, Li F, Wang R, Moyer J, Cook AJ, Murray DM, Heagerty PJ. Two weights make a wrong: Cluster randomized trials with variable cluster sizes and heterogeneous treatment effects. Contemporary Clinical Trials 2022, 114: 106702. PMID: 35123029, PMCID: PMC8936048, DOI: 10.1016/j.cct.2022.106702.
- Clarifying selection bias in cluster randomized trials.Li F, Tian Z, Bobb J, Papadogeorgou G, Li F. Clarifying selection bias in cluster randomized trials. Clinical Trials (London, England) 2022, 19: 33-41. PMID: 34894795, DOI: 10.1177/17407745211056875.
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