| Year |
Citation |
Score |
| 2023 |
Manschot C, Laber E, Davidian M. Interim monitoring of sequential multiple assignment randomized trials using partial information. Biometrics. PMID 36896962 DOI: 10.1111/biom.13854 |
0.363 |
|
| 2021 |
Luckett DJ, Laber EB, Kim S, Kosorok MR. Estimation and Optimization of Composite Outcomes. Journal of Machine Learning Research : Jmlr. 22. PMID 34733120 |
0.338 |
|
| 2021 |
Rashid NU, Luckett DJ, Chen J, Lawson MT, Wang L, Zhang Y, Laber EB, Liu Y, Yeh JJ, Zeng D, Kosorok MR. High-Dimensional Precision Medicine From Patient-Derived Xenografts. Journal of the American Statistical Association. 116: 1140-1154. PMID 34548714 DOI: 10.1080/01621459.2020.1828091 |
0.566 |
|
| 2020 |
Guan Q, Reich BJ, Laber EB, Bandyopadhyay D. Bayesian Nonparametric Policy Search with Application to Periodontal Recall Intervals. Journal of the American Statistical Association. 115: 1066-1078. PMID 33012901 DOI: 10.1080/01621459.2019.1660169 |
0.42 |
|
| 2020 |
Luckett DJ, Laber EB, Kahkoska AR, Maahs DM, Mayer-Davis E, Kosorok MR. Estimating Dynamic Treatment Regimes in Mobile Health Using V-learning. Journal of the American Statistical Association. 115: 692-706. PMID 32952236 DOI: 10.1080/01621459.2018.1537919 |
0.485 |
|
| 2020 |
Luckett DJ, Laber EB, El-Kamary SS, Fan C, Jhaveri R, Perou CM, Shebl FM, Kosorok MR. Receiver operating characteristic curves and confidence bands for support vector machines. Biometrics. PMID 32865820 DOI: 10.1111/Biom.13365 |
0.33 |
|
| 2020 |
Dong L, Laber E, Goldberg Y, Song R, Yang S. Ascertaining properties of weighting in the estimation of optimal treatment regimes under monotone missingness. Statistics in Medicine. PMID 32729973 DOI: 10.1002/Sim.8678 |
0.497 |
|
| 2019 |
Hu W, Laber EB, Barker C, Stefanski LA. Assessing Tuning Parameter Selection Variability in Penalized Regression. Technometrics : a Journal of Statistics For the Physical, Chemical, and Engineering Sciences. 61: 154-164. PMID 31534281 DOI: 10.1080/00401706.2018.1513380 |
0.315 |
|
| 2019 |
Zhao YQ, Laber EB, Ning Y, Saha S, Sands BE. Efficient augmentation and relaxation learning for individualized treatment rules using observational data. Journal of Machine Learning Research : Jmlr. 20. PMID 31440118 |
0.393 |
|
| 2018 |
Zhang Y, Laber EB, Davidian M, Tsiatis AA. Interpretable Dynamic Treatment Regimes. Journal of the American Statistical Association. 113: 1541-1549. PMID 30774169 DOI: 10.1080/01621459.2017.1345743 |
0.524 |
|
| 2018 |
Laber EB, Meyer NJ, Reich BJ, Pacifici K, Collazo JA, Drake JM. Optimal treatment allocations in space and time for on-line control of an emerging infectious disease. Journal of the Royal Statistical Society. Series C, Applied Statistics. 67: 743-770. PMID 30662097 DOI: 10.1111/Rssc.12266 |
0.404 |
|
| 2018 |
Laber EB, Wu F, Munera C, Lipkovich I, Colucci S, Ripa S. Identifying optimal dosage regimes under safety constraints: An application to long term opioid treatment of chronic pain. Statistics in Medicine. PMID 29468702 DOI: 10.1002/Sim.7566 |
0.485 |
|
| 2017 |
Laber EB, Staicu AM. Functional feature construction for individualized treatment regimes. Journal of the American Statistical Association. 113: 1219-1227. PMID 30416232 DOI: 10.1080/01621459.2017.1321545 |
0.454 |
|
| 2017 |
Linn KA, Laber EB, Stefanski LA. Interactive Q-learning for Quantiles. Journal of the American Statistical Association. 112: 638-649. PMID 28890584 DOI: 10.1080/01621459.2016.1155993 |
0.504 |
|
| 2017 |
Shortreed SM, Laber E, Scott Stroup T, Pineau J, Murphy SA. A multiple imputation strategy for sequential multiple assignment randomized trials. Statistics in Medicine. 36: 3760. PMID 28872255 DOI: 10.1002/Sim.7285 |
0.497 |
|
| 2017 |
Butler EL, Laber EB, Davis SM, Kosorok MR. Incorporating Patient Preferences into Estimation of Optimal Individualized Treatment Rules. Biometrics. PMID 28742260 DOI: 10.1111/Biom.12743 |
0.464 |
|
| 2017 |
Laber EB, Davidian M. Dynamic treatment regimes, past, present, and future: A conversation with experts. Statistical Methods in Medical Research. 962280217708661. PMID 28482753 DOI: 10.1177/0962280217708661 |
0.341 |
|
| 2017 |
Kelleher SA, Dorfman CS, Plumb Vilardaga JC, Majestic C, Winger J, Gandhi V, Nunez C, Van Denburg A, Shelby RA, Reed SD, Murphy S, Davidian M, Laber EB, Kimmick GG, Westbrook KW, et al. Optimizing delivery of a behavioral pain intervention in cancer patients using a sequential multiple assignment randomized trial SMART. Contemporary Clinical Trials. PMID 28408335 DOI: 10.1016/J.Cct.2017.04.001 |
0.504 |
|
| 2016 |
Huang Y, Laber E. Personalized Evaluation of Biomarker Value: A Cost-Benefit Perspective. Statistics in Biosciences. 8: 43-65. PMID 27446505 DOI: 10.1007/S12561-014-9122-4 |
0.424 |
|
| 2016 |
Zhang B, A. Tsiatis A, Davidian M, Zhang M, Laber E. Estimating optimal treatment regimes from a classification perspective Stat. 5: 278-278. DOI: 10.1002/sta4.124 |
0.316 |
|
| 2015 |
Linn KA, Laber EB, Stefanski LA. iqLearn: Interactive Q-Learning in R. Journal of Statistical Software. 64. PMID 26900385 DOI: 10.18637/Jss.V064.I01 |
0.454 |
|
| 2015 |
Laber EB, Zhao YQ. Tree-based methods for individualized treatment regimes. Biometrika. 102: 501-514. PMID 26893526 DOI: 10.1093/Biomet/Asv028 |
0.506 |
|
| 2015 |
Laber EB, Zhao YQ, Regh T, Davidian M, Tsiatis A, Stanford JB, Zeng D, Song R, Kosorok MR. Using pilot data to size a two-arm randomized trial to find a nearly optimal personalized treatment strategy. Statistics in Medicine. PMID 26506890 DOI: 10.1002/Sim.6783 |
0.616 |
|
| 2015 |
Zhao YQ, Zeng D, Laber EB, Kosorok MR. New Statistical Learning Methods for Estimating Optimal Dynamic Treatment Regimes. Journal of the American Statistical Association. 110: 583-598. PMID 26236062 DOI: 10.1080/01621459.2014.937488 |
0.578 |
|
| 2015 |
Zhang Y, Laber EB, Tsiatis A, Davidian M. Using decision lists to construct interpretable and parsimonious treatment regimes. Biometrics. PMID 26193819 DOI: 10.1111/Biom.12354 |
0.5 |
|
| 2015 |
Zhao YQ, Zeng D, Laber EB, Song R, Yuan M, Kosorok MR. Doubly Robust Learning for Estimating Individualized Treatment with Censored Data. Biometrika. 102: 151-168. PMID 25937641 DOI: 10.1093/Biomet/Asu050 |
0.599 |
|
| 2015 |
Song R, Kosorok M, Zeng D, Zhao Y, Laber E, Yuan M. On Sparse representation for Optimal Individualized Treatment Selection with Penalized Outcome Weighted Learning. Stat. 4: 59-68. PMID 25883393 DOI: 10.1002/sta4.78 |
0.564 |
|
| 2015 |
Wu F, Laber EB, Lipkovich IA, Severus E. Who will benefit from antidepressants in the acute treatment of bipolar depression? A reanalysis of the STEP-BD study by Sachs et al. 2007, using Q-learning. International Journal of Bipolar Disorders. 3: 7. PMID 25844303 DOI: 10.1186/S40345-014-0018-5 |
0.447 |
|
| 2015 |
Huang Y, Laber EB, Janes H. Characterizing expected benefits of biomarkers in treatment selection. Biostatistics (Oxford, England). 16: 383-99. PMID 25190512 DOI: 10.1093/Biostatistics/Kxu039 |
0.448 |
|
| 2015 |
Severus E, Laber E, Lipkovich I. Double-Blind Randomized Placebo-Controlled Trials in the Treatment of Affective Disorders: Problems and Alternatives Current Treatment Options in Psychiatry. 2: 262-270. DOI: 10.1007/S40501-015-0050-9 |
0.421 |
|
| 2014 |
Schulte PJ, Tsiatis AA, Laber EB, Davidian M. Q- and A-learning Methods for Estimating Optimal Dynamic Treatment Regimes. Statistical Science : a Review Journal of the Institute of Mathematical Statistics. 29: 640-661. PMID 25620840 DOI: 10.1214/13-Sts450 |
0.497 |
|
| 2014 |
Laber EB, Linn KA, Stefanski LA. Interactive model building for Q-learning. Biometrika. 101: 831-847. PMID 25541562 DOI: 10.1093/Biomet/Asu043 |
0.402 |
|
| 2014 |
Laber EB, Lizotte DJ, Qian M, Pelham WE, Murphy SA. Dynamic treatment regimes: technical challenges and applications. Electronic Journal of Statistics. 8: 1225-1272. PMID 25356091 DOI: 10.1214/14-Ejs920 |
0.597 |
|
| 2014 |
Chakraborty B, Laber EB, Zhao YQ. Inference about the expected performance of a data-driven dynamic treatment regime. Clinical Trials (London, England). 11: 408-417. PMID 24925083 DOI: 10.1177/1740774514537727 |
0.445 |
|
| 2014 |
Shortreed SM, Laber E, Scott Stroup T, Pineau J, Murphy SA. A multiple imputation strategy for sequential multiple assignment randomized trials. Statistics in Medicine. 33: 4202-14. PMID 24919867 DOI: 10.1002/Sim.6223 |
0.569 |
|
| 2014 |
Laber EB, Tsiatis AA, Davidian M, Holloway ST. Discussion of "Combining biomarkers to optimize patient treatment recommendation". Biometrics. 70: 707-10. PMID 24888979 DOI: 10.1111/Biom.12187 |
0.377 |
|
| 2014 |
Zhao YQ, Laber EB. Estimation of optimal dynamic treatment regimes. Clinical Trials (London, England). 11: 400-407. PMID 24872361 DOI: 10.1177/1740774514532570 |
0.472 |
|
| 2014 |
Laber EB, Lizotte DJ, Ferguson B. Set-valued dynamic treatment regimes for competing outcomes. Biometrics. 70: 53-61. PMID 24400912 DOI: 10.1111/Biom.12132 |
0.458 |
|
| 2014 |
Laber EB, Lizotte DJ, Qian M, Pelham WE, Murphy SA. Rejoinder of “Dynamic treatment regimes: Technical challenges and applications” Electronic Journal of Statistics. 8: 1312-1321. DOI: 10.1214/14-Ejs920Rej |
0.532 |
|
| 2013 |
Zhang B, Tsiatis AA, Laber EB, Davidian M. Robust estimation of optimal dynamic treatment regimes for sequential treatment decisions. Biometrika. 100. PMID 24302771 DOI: 10.1093/Biomet/Ast014 |
0.499 |
|
| 2013 |
Vock DM, Tsiatis AA, Davidian M, Laber EB, Tsuang WM, Finlen Copeland CA, Palmer SM. Assessing the causal effect of organ transplantation on the distribution of residual lifetime. Biometrics. 69: 820-9. PMID 24128090 DOI: 10.1111/Biom.12084 |
0.317 |
|
| 2013 |
Chakraborty B, Laber EB, Zhao Y. Inference for optimal dynamic treatment regimes using an adaptive m-out-of-n bootstrap scheme. Biometrics. 69: 714-23. PMID 23845276 DOI: 10.1111/Biom.12052 |
0.448 |
|
| 2012 |
Zhang B, Tsiatis AA, Davidian M, Zhang M, Laber E. Estimating Optimal Treatment Regimes from a Classification Perspective. Stat. 1: 103-114. PMID 23645940 DOI: 10.1002/sta.411 |
0.398 |
|
| 2012 |
Zhang B, Tsiatis AA, Laber EB, Davidian M. A robust method for estimating optimal treatment regimes. Biometrics. 68: 1010-8. PMID 22550953 DOI: 10.1111/J.1541-0420.2012.01763.X |
0.508 |
|
| 2011 |
Laber EB, Murphy SA. Adaptive Confidence Intervals for the Test Error in Classification. Journal of the American Statistical Association. 106: 904-913. PMID 22053123 DOI: 10.1198/Jasa.2010.Tm10053 |
0.502 |
|
| 2011 |
Shortreed SM, Laber E, Lizotte DJ, Stroup TS, Pineau J, Murphy SA. Informing sequential clinical decision-making through reinforcement learning: an empirical study. Machine Learning. 84: 109-136. PMID 21799585 DOI: 10.1007/S10994-010-5229-0 |
0.562 |
|
| 2011 |
Laber EB, Murphy SA. Rejoinder Journal of the American Statistical Association. 106: 940-945. DOI: 10.1198/jasa.2011.tm11514 |
0.322 |
|
| 2008 |
Laber EB, Murphy SA. Small Sample Inference for Generalization Error in Classification Using the CUD Bound. Uncertainty in Artificial Intelligence : Proceedings of the ... Conference. Conference On Uncertainty in Artificial Intelligence. 2008: 357-365. PMID 20508837 |
0.457 |
|
| Low-probability matches (unlikely to be authored by this person) |
| 2014 |
Lim JH, Muguet-Chanoit AC, Smith DT, Laber E, Olby NJ. Potassium channel antagonists 4-aminopyridine and the T-butyl carbamate derivative of 4-aminopyridine improve hind limb function in chronically non-ambulatory dogs; a blinded, placebo-controlled trial. Plos One. 9: e116139. PMID 25551385 DOI: 10.1371/Journal.Pone.0116139 |
0.29 |
|
| 2019 |
Kosorok MR, Laber EB. Precision Medicine. Annual Review of Statistics and Its Application. 6: 263-286. PMID 31073534 DOI: 10.1146/annurev-statistics-030718-105251 |
0.289 |
|
| 2020 |
Allwood JS, Fierer N, Dunn RR, Breen M, Reich BJ, Laber EB, Clifton J, Grantham NS, Faith SA. Use of standardized bioinformatics for the analysis of fungal DNA signatures applied to sample provenance. Forensic Science International. 310: 110250. PMID 32240935 DOI: 10.1016/J.Forsciint.2020.110250 |
0.278 |
|
| 2017 |
Fenn J, Laber E, Williams K, Rousse CA, Early PJ, Mariani CL, Muñana KR, De Decker S, Volk HA, Olby NJ. Associations Between Anesthetic Variables and Functional Outcome in Dogs With Thoracolumbar Intervertebral Disk Extrusion Undergoing Decompressive Hemilaminectomy. Journal of Veterinary Internal Medicine. PMID 28295616 DOI: 10.1111/Jvim.14677 |
0.276 |
|
| 2015 |
Grantham NS, Reich BJ, Pacifici K, Laber EB, Menninger HL, Henley JB, Barberán A, Leff JW, Fierer N, Dunn RR. Fungi identify the geographic origin of dust samples. Plos One. 10: e0122605. PMID 25875229 DOI: 10.1371/Journal.Pone.0122605 |
0.264 |
|
| 2017 |
Laber EB, Shedden K. Statistical Significance and the Dichotomization of Evidence: The Relevance of the ASA Statement on Statistical Significance and p-values for Statisticians. Journal of the American Statistical Association. 112: 902-904. PMID 29348701 DOI: 10.1080/01621459.2017.1311265 |
0.256 |
|
| 2019 |
Luckett DJ, Laber EB, Kahkoska AR, Maahs DM, Mayer-Davis E, Kosorok MR. Estimating Dynamic Treatment Regimes in Mobile Health Using V-Learning Journal of the American Statistical Association. 115: 692-706. DOI: 10.1080/01621459.2018.1537919 |
0.252 |
|
| 2017 |
Blau SR, Davis LM, Gorney AM, Dohse CS, Williams KD, Lim JH, Pfitzner WG, Laber E, Sawicki GS, Olby NJ. Quantifying center of pressure variability in chondrodystrophoid dogs. Veterinary Journal (London, England : 1997). 226: 26-31. PMID 28911837 DOI: 10.1016/J.Tvjl.2017.07.001 |
0.25 |
|
| 2021 |
Smith SK, Somers TJ, Kuhn E, Laber E, Sung AD, Syrjala KL, Feger B, Kelleher SA, Majestic C, Gebert R, LeBlanc M, Owen JE, Applebaum AJ. A SMART approach to optimizing delivery of an mHealth intervention among cancer survivors with posttraumatic stress symptoms. Contemporary Clinical Trials. 106569. PMID 34536584 DOI: 10.1016/j.cct.2021.106569 |
0.248 |
|
| 2020 |
Clifton J, Laber E. Q-Learning: Theory and Applications Annual Review of Statistics and Its Application. 7: 279-301. DOI: 10.1146/annurev-statistics-031219-041220 |
0.239 |
|
| 2022 |
Weltz J, Volfovsky A, Laber EB. Reinforcement Learning Methods in Public Health. Clinical Therapeutics. 44: 139-154. PMID 35058056 DOI: 10.1016/j.clinthera.2021.11.002 |
0.234 |
|
| 2018 |
Lewis M, Laber EB, Olby N. Predictors of response to 4-aminopyridine in chronic canine spinal cord injury. Journal of Neurotrauma. PMID 30235970 DOI: 10.1089/Neu.2018.5975 |
0.232 |
|
| 2016 |
Lizotte DJ, Laber EB. Multi-Objective Markov Decision Processes for Data-Driven Decision Support. Journal of Machine Learning Research : Jmlr. 17. PMID 28018133 |
0.225 |
|
| 2020 |
Mustanski B, Moskowitz DA, Moran KO, Newcomb ME, Macapagal K, Rodriguez-Díaz C, Rendina HJ, Laber EB, Li DH, Matson M, Talan AJ, Cabral C. Evaluation of a Stepped-Care eHealth HIV Prevention Program for Diverse Adolescent Men Who Have Sex With Men: Protocol for a Hybrid Type 1 Effectiveness Implementation Trial of SMART. Jmir Research Protocols. 9: e19701. PMID 32779573 DOI: 10.2196/19701 |
0.212 |
|
| 2015 |
Barberán A, Dunn RR, Reich BJ, Pacifici K, Laber EB, Menninger HL, Morton JM, Henley JB, Leff JW, Miller SL, Fierer N. The ecology of microscopic life in household dust. Proceedings. Biological Sciences / the Royal Society. 282. PMID 26311665 DOI: 10.1098/Rspb.2015.1139 |
0.2 |
|
| 2019 |
Olby NJ, Lim JH, Wagner N, Zidan N, Early PJ, Mariani CL, Muñana KR, Laber E. Time course and prognostic value of serum GFAP, pNFH, and S100β concentrations in dogs with complete spinal cord injury because of intervertebral disc extrusion. Journal of Veterinary Internal Medicine. PMID 30758078 DOI: 10.1111/Jvim.15439 |
0.199 |
|
| 2019 |
Zottola SA, Desmarais SL, Neupert SD, Dong L, Laber E, Lowder EM, Van Dorn RA. Results of the Brief Jail Mental Health Screen Across Repeated Jail Bookings. Psychiatric Services (Washington, D.C.). appips201800377. PMID 31378191 DOI: 10.1176/Appi.Ps.201800377 |
0.192 |
|
| 2020 |
Grantham NS, Reich BJ, Laber EB, Pacifici K, Dunn RR, Fierer N, Gebert M, Allwood JS, Faith SA. Global forensic geolocation with deep neural networks Journal of the Royal Statistical Society Series C-Applied Statistics. 69: 909-929. DOI: 10.1111/Rssc.12427 |
0.186 |
|
| 2021 |
Guan Q, Reich BJ, Laber EB. A spatiotemporal recommendation engine for malaria control. Biostatistics (Oxford, England). PMID 33838029 DOI: 10.1093/biostatistics/kxab010 |
0.186 |
|
| 2023 |
Li Y, Reed SD, Winger JG, Hyland KA, Fisher HM, Kelleher SA, Miller SN, Davidian M, Laber EB, Keefe FJ, Somers TJ. Cost-Effectiveness Analysis Evaluating Delivery Strategies for Pain Coping Skills Training in Women with Breast Cancer. The Journal of Pain. PMID 37187219 DOI: 10.1016/j.jpain.2023.05.004 |
0.185 |
|
| 2015 |
Zhang B, Tsiatis AA, Laber EB, Davidian M. Response to reader reaction. Biometrics. 71: 271-3. PMID 25355405 DOI: 10.1111/Biom.12229 |
0.176 |
|
| 2021 |
Xu Z, Laber E, Staicu AM, Lascelles BDX. Novel approach to modeling high-frequency activity data to assess therapeutic effects of analgesics in chronic pain conditions. Scientific Reports. 11: 7737. PMID 33833306 DOI: 10.1038/s41598-021-87304-w |
0.167 |
|
| 2021 |
Pan Y, Laber EB, Smith MA, Zhao YQ. Reinforced risk prediction with budget constraint using irregularly measured data from electronic health records. Journal of the American Statistical Association. 118: 1090-1101. PMID 37333855 DOI: 10.1080/01621459.2021.1978467 |
0.166 |
|
| 2022 |
Erickson ML, Allen JM, Beavers DP, Collins LM, Davidson KW, Erickson KI, Esser KA, Hesselink MKC, Moreau KL, Laber EB, Peterson CA, Peterson CM, Reusch JE, Thyfault JP, Youngstedt SD, et al. Understanding heterogeneity of responses to, and optimizing clinical efficacy of, exercise training in older adults: NIH NIA Workshop summary. Geroscience. PMID 36242693 DOI: 10.1007/s11357-022-00668-3 |
0.103 |
|
| 2023 |
Somers TJ, Winger JG, Fisher HM, Hyland KA, Davidian M, Laber EB, Miller SN, Kelleher SA, Plumb Vilardaga JC, Majestic C, Shelby RA, Reed SD, Kimmick GG, Keefe FJ. Behavioral cancer pain intervention dosing: results of a Sequential Multiple Assignment Randomized Trial. Pain. PMID 37079854 DOI: 10.1097/j.pain.0000000000002915 |
0.096 |
|
| 2022 |
Cooks EJ, Duke KA, Neil JM, Vilaro MJ, Wilson-Howard D, Modave F, George TJ, Odedina FT, Lok BC, Carek P, Laber EB, Davidian M, Krieger JL. Telehealth and racial disparities in colorectal cancer screening: A pilot study of how virtual clinician characteristics influence screening intentions. Journal of Clinical and Translational Science. 6: e48. PMID 35619640 DOI: 10.1017/cts.2022.386 |
0.091 |
|
| 2022 |
Dai KZ, Laber EB, Chen H, Mentz RJ, Malhotra C. Hand grip strength predicts mortality and quality of life in heart failure: Insights from the Singapore Cohort of Patients with Advanced Heart Failure: Grip strength predicts mortality and quality of life in heart failure. Journal of Cardiac Failure. PMID 36526216 DOI: 10.1016/j.cardfail.2022.11.009 |
0.085 |
|
| 2021 |
Krieger JL, Neil JM, Duke KA, Zalake MS, Tavassoli F, Vilaro MJ, Wilson-Howard DS, Chavez SY, Laber EB, Davidian M, George TJ, Modave FP, Odedina FT, Lok BC. A Pilot Study Examining the Efficacy of Delivering Colorectal Cancer Screening Messages via Virtual Health Assistants. American Journal of Preventive Medicine. PMID 33888362 DOI: 10.1016/j.amepre.2021.01.014 |
0.084 |
|
| 2019 |
Griffin L, Lee D, Jaisle A, Carek P, George T, Laber E, Lok B, Modave F, Paskett E, Krieger J. Creating an mHealth App for Colorectal Cancer Screening: User-Centered Design Approach. Jmir Human Factors. 6: e12700. PMID 31066688 DOI: 10.2196/12700 |
0.08 |
|
| 2022 |
Mustanski B, Saber R, Macapagal K, Matson M, Laber E, Rodrgiuez-Diaz C, Moran KO, Carrion A, Moskowitz DA, Newcomb ME. Effectiveness of the SMART Sex Ed program among 13-18 year old English and Spanish speaking adolescent men who have sex with men. Aids and Behavior. PMID 35951143 DOI: 10.1007/s10461-022-03806-2 |
0.058 |
|
| 2016 |
Guan Q, Laber EB, Reich BJ. Comment. Journal of the American Statistical Association. 111: 936-942. PMID 28003709 DOI: 10.1080/01621459.2016.1200911 |
0.01 |
|
| 2016 |
Rodrigues PC, Laber E. Preface Communications in Statistics: Simulation and Computation. 45: 2657. DOI: 10.1080/03610918.2015.1111110 |
0.01 |
|
| 2015 |
Zhang Y, Laber EB. Comment Journal of the American Statistical Association. 110: 1451-1454. DOI: 10.1080/01621459.2015.1106403 |
0.01 |
|
| Hide low-probability matches. |