المؤلفون: Michael P. Wallace, Erica E. M. Moodie, David A. Stephens

المصدر: Journal of Statistical Software, Vol 80, Iss 1, Pp 1-20 (2017)

مصطلحات موضوعية: adaptive treatment strategies, dynamic treatment regimens, dynamic weighted ordinary least squares, G-estimation, personalized medicine, Statistics, HA1-4737

وصف الملف: electronic resource

Relation: https://www.jstatsoft.org/index.php/jss/article/view/2641; https://doaj.org/toc/1548-7660

URL الوصول: https://doaj.org/article/0140ceca250248ed9a167d2e1b8f4956

المؤلفون: Jiao, Tianze, Platt, Robert W., Douros, Antonios, Filion, Kristian B.

المصدر: https://doi.org/10.1093/aje/kwad091 ; https://academic.oup.com/aje/article-lookup/doi/10.1093/aje/kwad091.

مصطلحات موضوعية: Antihypertensive drugs, Cardiovascular disease prevention, Blood pressure control, Emulating randomized controlled trials, Hypertension, Adaptive treatment strategies

Relation: https://escholarship.mcgill.ca/concern/articles/gf06g7800

الاتاحة: https://escholarship.mcgill.ca/concern/articles/gf06g7800

المؤلفون: Wallace, Michael P., Moodie, Erica E. M., Stephens, David A.

المصدر: https://doi.org/10.18637/jss.v080.i02 ; https://www.jstatsoft.org/index.

مصطلحات موضوعية: G-estimation personalized medicine, Dynamic weighted ordinary least squares, Adaptive treatment strategies, Dynamic treatment regimens

Relation: https://escholarship.mcgill.ca/concern/articles/ks65hj14q

الاتاحة: https://escholarship.mcgill.ca/concern/articles/ks65hj14q

المؤلفون: Wahed, Abdus S.

المصدر: Journal of the Royal Statistical Society. Series C (Applied Statistics), 2010 Jan 01. 59(1), 1-18.

URL الوصول: https://www.jstor.org/stable/40541640

المؤلفون: Bigirumurame, Theophile, Uwimpuhwe, Germaine, Wason, James

مصطلحات موضوعية: Humans, Randomized Controlled Trials as Topic, Adaptive intervention, Adaptive treatment strategies, Dynamic treatment regimens, Multistage treatment strategies, Sequential multiple assignment randomized trial, Treatment policies

وصف الملف: application/zip; application/pdf

Relation: https://www.repository.cam.ac.uk/handle/1810/344629

الاتاحة: https://www.repository.cam.ac.uk/handle/1810/344629
https://doi.org/10.17863/CAM.92050

المؤلفون: James Wason, Germaine Uwimpuhwe, Theophile Bigirumurame

المساهمون: Bigirumurame, Theophile [0000-0003-2387-4918], Wason, James [0000-0002-4691-126X], Apollo - University of Cambridge Repository

المصدر: J Clin Epidemiol

مصطلحات موضوعية: medicine.medical_specialty, Epidemiology, Computer science, Sequential multiple assignment randomized trial, Scopus, Limiting, Adaptive intervention, Article, law.invention, Randomized controlled trial, Sample size determination, law, Multiple comparisons problem, Key (cryptography), medicine, Humans, Adaptive interventions, Medical physics, Adaptive treatment strategies, Dynamic treatment regimens, Multistage treatment strategies, Treatment policies, Interpretability, Randomized Controlled Trials as Topic

وصف الملف: application/zip; application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0a4bd5cf8946770d1f2f2bda5ff78dce
https://europepmc.org/articles/PMC7613855/

المؤلفون: Erica E. M. Moodie, David A. Stephens, Michael P. Wallace

المساهمون: Michael P Wallace, McGill University, Erica E M Moodie, McGill University, David A Stephens, McGill University

المصدر: Journal of Statistical Software, Vol 80, Iss 1, Pp 1-20 (2017)
Journal of Statistical Software; Vol 80 (2017); 1-20

مصطلحات موضوعية: 0301 basic medicine, Statistics and Probability, Computer science, Context (language use), computer.software_genre, 01 natural sciences, 010104 statistics & probability, 03 medical and health sciences, 0101 mathematics, G-estimation, lcsh:Statistics, lcsh:HA1-4737, dynamic weighted ordinary least squares, Estimation, business.industry, adaptive treatment strategies, dynamic treatment regimens, personalized medicine, Regression, 3. Good health, Identification (information), R package, 030104 developmental biology, Ordinary least squares, Personalized medicine, Data mining, Statistics, Probability and Uncertainty, Biostatistics, business, computer, Software

وصف الملف: PB

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e6585892dfc326559a4fded532757424
https://www.jstatsoft.org/index.php/jss/article/view/2641

المؤلفون: Wallace, Michael P., Moodie, Erica E. M., Stephens, David A.

المصدر: https://onlinelibrary.wiley.com/toc/15214036/2018/60/5 ; https://doi.org/10.1002/bimj.201700322.

مصطلحات موضوعية: Causal inference, Dynamic treatment regimes, Personalized medicine, Adaptive treatment strategies

Relation: https://escholarship.mcgill.ca/concern/articles/fq978098j

الاتاحة: https://escholarship.mcgill.ca/concern/articles/fq978098j

المؤلفون: Nahum‐shani, Inbal, Ertefaie, Ashkan, Lu, Xi (Lucy), Lynch, Kevin G., McKay, James R., Oslin, David W., Almirall, Daniel

مصطلحات موضوعية: Adaptive interventions, adaptive treatment strategies, alcohol dependence, Qâ learning, Sequential Multiple Assignment Randomized Trial (SMART), steppedâ care, Psychiatry, Public Health, Health Sciences

وصف الملف: application/pdf

Relation: Nahum‐shani, Inbal; Ertefaie, Ashkan; Lu, Xi (Lucy); Lynch, Kevin G.; McKay, James R.; Oslin, David W.; Almirall, Daniel (2017). "A SMART data analysis method for constructing adaptive treatment strategies for substance use disorders." Addiction 112(5): 901-909.; https://hdl.handle.net/2027.42/136517; Addiction; Jaccard J., Turrisi R. Interaction effects in multiple regression, 2nd edn. Thousand Oaks, CA: Sage; 2003.; Yoon G., Kim S. W., Thuras P., Westermeyer J. Safety, tolerability, and feasibility of highâ dose naltrexone in alcohol dependence: an openâ label study. Human Psychopharmacol Clin Exp 2011; 26: 125 â 132.; Pettinati H. M., Volpicelli J. R., Pierce J. D. Jr., O’brien C. P. Improving naltrexone response: an intervention for medical practitioners to enhance medication compliance in alcohol dependent patients. J Addict Dis 2000; 19: 71 â 83.; Longabaugh R., Zweben A., LoCastro J. S., Miller W. R. Origins, issues and options in the development of the combined behavioral intervention. J Stud Alcohol Drugs 2005; 15: 179.; Miller W. R., Moyers T. B., Arciniega L. T., DiClemente C., LoCastro J., Longabaugh R. et al. A combined behavioral intervention for treating alcohol dependence. Alcohol Clin Exp Res 2003; 27: 113A.; Ertefaie A., Wu T., Lynch K. G., Nahumâ Shani I. Identifying a set that contains the best dynamic treatment regimes. Biostatistics 2015; 17: 135 â 148.; Nahumâ Shani I., Qian M., Almirall D., Pelham W. E., Gnagy B., Fabiano G. A. et al. Experimental design and primary data analysis for developing adaptive interventions. Psychol Methods 2012; 17: 457 â 477.; Oetting A., Levy J., Weiss R., Murphy S. Statistical methodology for a SMART design in the development of adaptive treatment strategies. In: Shrout P., editor. Causality and psychopathology: finding the determinants of disorders and their cures. Arlington VA: American Psychiatric Publishing; 2007, pp. 179 â 205.; Rando K., Hong K.â I., Bhagwagar Z., Li C. S., Bergquist K., Guarnaccia J. et al. Association of Frontal and Posterior Cortical Gray Matter Volume With Time to Alcohol Relapse: A Prospective Study. Am J Psychiatry 2011; 168: 183 â 192.; Heilig M., Egli M. Pharmacological treatment of alcohol dependence: target symptoms and target mechanisms. Pharmacol Ther 2006; 111: 855 â 876.; McKay J. R., Van Horn D. H., Lynch K. G., Ivey M., Cary M. S., Drapkin M. L. et al. An adaptive approach for identifying cocaine dependent patients who benefit from extended continuing care. J Consult Clin Psychol 2013; 81: 1063.; Cable N., Sacker A. Typologies of alcohol consumption in adolescence: predictors and adult outcomes. Alcohol Alcohol 2008; 43: 81 â 90.; McKay J. R., Lynch K. G., Shepard D. S., Pettinati H. M. The effectiveness of telephoneâ based continuing care for alcohol and cocaine dependence: 24â month outcomes. Arch Gen Psychiatry 2005; 62: 199 â 207.; Qian M., Nahumâ Shani I., Kaur A., Ertefaie A., Almirall D., Murphy S. A. R Code for Using Qâ Learning to Construct Adaptive Interventions Using Data from a SMART: Instructions for Using the Qâ learning Package in R. The Methodology Center, Penn State. 2013. Available at: https://methodology.psu.edu/ra/adap-treat-strat/qlearning (accessed 3 February 2017) (Archived at http://www.webcitation.org/6o0QtTqik ).; Shortreed S. M., Laber E., Lizotte D. J., Stroup T. S., Pineau J., Murphy S. A. Informing sequential clinical decisionâ making through reinforcement learning: an empirical study. Mach Learn 2011; 84: 109 â 136.; Sterne J. A., White I. R., Carlin J. B., Spratt M., Royston P., Kenward M. G. et al. Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls. BMJ 2009; 338: b2393.; Shepard D. S., Daley M. C., Neuman M. J., Blaakman A. P., McKay J. R. Telephoneâ based continuing care counseling in substance abuse treatment: economic analysis of a randomized trial. Drug Alcohol Depend. 2016; 159: 109 â 116.; McCollister K., Yang X., McKay J. R. Costâ effectiveness analysis of a continuing care intervention for cocaineâ dependent adults. Drug Alcohol Depend 2016; 158: 38 â 44.; Heckman B. W., Mathew A. R., Carpenter M. J. Treatment burden and treatment fatigue as barriers to health. Curr Opin Psychol 2015; 5: 31 â 36.; Piantadosi S. Clinical trials: a methodologic perspective. New York, NY: John Wiley & Sons; 2013.; Cohen J. Statistical power for the behavioral sciences. Hillsdale, NJ: Erlbaum; 1988.; Wallace M. P., Moodie E. E., Stephens D. A. SMART thinking: a review of recent developments in sequential multiple assignment randomized trials. Curr Epidemiol Rep 2016; 3: 225 â 232.; Laber E. B., Zhao Y. Q., Regh T., Davidian M., Tsiatis A., Stanford J. B. et al. Using pilot data to size a twoâ arm randomized trial to find a nearly optimal personalized treatment strategy. Stat Med 2016; 35: 1245 â 1256.; Zhao Y.â Q., Zeng D., Laber E. B., Song R., Yuan M., Kosorok M. R. Doubly robust learning for estimating individualized treatment with censored data. Biometrika 2015; 102: 151 â 168.; Qian M., Murphy S. A. Performance guarantees for individualized treatment rules. Ann Stat 2011; 39: 1180.; Collins L. M., Dziak J. J., Li R. Design of experiments with multiple independent variables: A resource management perspective on complete and reduced factorial designs. Psychol Methods 2009; 14: 202.; Dziak J. J., Nahumâ Shani I., Collins L. M. Multilevel factorial experiments for developing behavioral interventions: Power, sample size, and resource considerations. Psychol Methods 2012; 17: 153 â 175.; McKay J. R., Lynch K. G., Shepard D. S., Morgenstern J., Forman R. F., Pettinati H. M. Do patient characteristics and initial progress in treatment moderate the effectiveness of telephoneâ based continuing care for substance use disorders? Addiction 2005; 100: 216 â 226.; McKay J. R. Treating substance use disorders with adaptive continuing care. Washington, DC: American Psychological Association; 2009.; Marlowe D. B., Festinger D. S., Dugosh K. L., Benasutti K. M., Fox G., Croft J. R. Adaptive programming improves outcomes in drug court: An experimental trial. Crim Justice Behav 2012; 39: 514 â 532.; Kranzler H. R., McKay J. R. Personalized treatment of alcohol dependence. Curr Psychiatry Rep 2012; 14: 486 â 493.; Black J. J., Chung T. Mechanisms of change in adolescent substance use treatment: How does treatment work? Subst Abus 2014; 35: 344 â 351.; Witkiewitz K., Finney J. W., Harris A. H., Kivlahan D. R., Kranzler H. R. Recommendations for the design and analysis of treatment trials for alcohol use disorders. Alcohol Clin Exp Res 2015; 39: 1557 â 1570.; Klostermann K., Kelley M. L., Mignone T., Pusateri L., Wills K. Behavioral couples therapy for substance abusers: Where do we go from here? Subst Use Misuse 2011; 46: 1502 â 1509.; Almirall D., Nahumâ Shani I., Sherwood N. E., Murphy S. A. Introduction to SMART designs for the development of adaptive interventions: with application to weight loss research. Transl Behav Med 2014; 4: 260 â 274.; Collins L. M., Murphy S. A., Bierman K. L. A conceptual framework for adaptive preventive interventions. Prev Sci 2004; 5: 185 â 196.; Lavori P. W., Dawson R. Adaptive treatment strategies in chronic disease. Annu Rev Med 2008; 59: 443.; Lavori P. W., Dawson R., Rush A. J. Flexible treatment strategies in chronic disease: clinical and research implications. Biol Psychiatry 2000; 48: 605 â 614.; Murphy S. A. An experimental design for the development of adaptive treatment strategies. Stat Med 2005; 24: 1455 â 1481.; Lavori P. W., Dawson R. A design for testing clinical strategies: biased adaptive withinâ subject randomization. J R Stat Soc A Stat Soc 2000; 163: 29 â 38.; Watkins C. J. C. H. Learning from delayed rewards. Cambridge, UK: University of Cambridge; 1989.; Nahumâ Shani I., Qian M., Almirall D., Pelham W. E., Gnagy B., Fabiano G. A. et al. Qâ learning: A data analysis method for constructing adaptive interventions. Psychol Methods 2012; 17: 478.; Projects Using SMARTs. The Methdology Center: The Pennsylvania State University; 2016. Available at: https://methodology.psu.edu/ra/adapâ inter/projects (accessed 21 August 2016) (Archived at http://www.webcitation.org/6k3FCHmin ).; Schulte P. J., Tsiatis A. A., Laber E. B., Davidian M. Qâ and Aâ learning methods for estimating optimal dynamic treatment regimes. Stat Sci: a review journal of the Institute of Mathematical Statistics 2014; 29: 640.; Moodie E. E., Dean N., Sun Y. R. Qâ learning: Flexible learning about useful utilities. Stat Biosci 2014; 6: 223 â 243.; Lei H., Nahumâ Shani I., Lynch K., Oslin D., Murphy S. A â SMARTâ design for building individualized treatment sequences. Annu Rev Clin Psychol 2012; 8.; Qian M., Nahumâ Shani I., Murphy S. A. Dynamic treatment regimes. In: Modern Clinical Trial Analysis. New York: Springer; 2013, pp. 127 â 148.; Murphy S. A., Lynch K. G., Oslin D., McKay J. R., TenHave T. Developing adaptive treatment strategies in substance abuse research. Drug Alcohol Depend 2007; 88: S24 â 30.; Laber E., Zhao Y. Treeâ based methods for individualized treatment regimes. Biometrika 2015; 102: 501 â 514.; Lu X., Nahumâ Shani I., Kasari C., Lynch K. G., Oslin D. W., Pelham W. E. et al. Comparing dynamic treatment regimes using repeatedâ measures outcomes: modeling considerations in SMART studies. Stat Med 2016; 35: 1595 â 1615.; Davidson D., Palfai T., Bird C., Swift R. Effects of naltrexone on alcohol selfâ administration in heavy drinkers. Alcohol Clin Exp Res 1999; 23: 195 â 203.; McCaul M. E., Wand G. S., Stauffer R., Lee S. M., Rohde C. A. Naltrexone dampens ethanolâ induced cardiovascular and hypothalamicâ pituitaryâ adrenal axis activation. Neuropsychopharmacology 2001; 25: 537 â 547.

الاتاحة: https://hdl.handle.net/2027.42/136517
https://doi.org/10.1111/add.13743

المؤلفون: Wallace, Michael P., Moodie, Erica E. M., Stephens, David A.

المصدر: https://doi.org/10.1177/0962280217708665.

مصطلحات موضوعية: Model checking, Adaptive treatment strategies, Dynamic treatment regimes, Model selection, Quasilikelihood

Relation: https://escholarship.mcgill.ca/concern/articles/3197xr564

الاتاحة: https://escholarship.mcgill.ca/concern/articles/3197xr564

المؤلفون: Buyze, Jozefien, Van Rompaye, Bart, Goetghebeur, Els

المصدر: STATISTICS IN MEDICINE ; ISSN: 0277-6715

مصطلحات موضوعية: Medicine and Health Sciences, adaptive treatment strategies, sequential randomization, adherence, diabetes, IMPAIRED GLUCOSE-TOLERANCE, DYNAMIC TREATMENT REGIMES, SOCIAL SUPPORT, MEDICATION ADHERENCE, LIFE-STYLE, SMOKING-CESSATION, CONTROLLED-TRIAL, METAANALYSIS, PREVENTION

وصف الملف: application/pdf

Relation: https://biblio.ugent.be/publication/944985; http://hdl.handle.net/1854/LU-944985; http://dx.doi.org/10.1002/sim.3856; https://biblio.ugent.be/publication/944985/file/952281

الاتاحة: https://biblio.ugent.be/publication/944985
http://hdl.handle.net/1854/LU-944985
https://doi.org/10.1002/sim.3856
https://biblio.ugent.be/publication/944985/file/952281

المؤلفون: Susan A. Murphy, Kevin G. Lynch, James R. Mckay, David W. Oslin, Tom R. Ten Have, Susan Murphy

المساهمون: The Pennsylvania State University CiteSeerX Archives

المصدر: http://dept.stat.lsa.umich.edu/~samurphy/papers/SMART.pdf.

مصطلحات موضوعية: Adaptive Treatment Strategies

وصف الملف: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.377.2596; http://dept.stat.lsa.umich.edu/~samurphy/papers/SMART.pdf

الاتاحة: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.377.2596
http://dept.stat.lsa.umich.edu/~samurphy/papers/SMART.pdf

المؤلفون: S. A. Murphy, D. Bingham

المساهمون: The Pennsylvania State University CiteSeerX Archives

المصدر: http://www.stat.lsa.umich.edu/~samurphy/papers/FF03.04.08.pdf.

مصطلحات موضوعية: Multi-stage Decisions, Experimental Design, Adaptive Treatment Strategies, Treatment Algorithms 1

وصف الملف: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.135.774; http://www.stat.lsa.umich.edu/~samurphy/papers/FF03.04.08.pdf

الاتاحة: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.135.774
http://www.stat.lsa.umich.edu/~samurphy/papers/FF03.04.08.pdf

المؤلفون: Ohol, Nilabh

المساهمون: Chen, Victoria

مصطلحات موضوعية: Time varying confounding, Inverse probability of treatment weighting, Adaptive treatment strategies, Pain management

وصف الملف: application/pdf

Relation: http://hdl.handle.net/10106/27553

الاتاحة: http://hdl.handle.net/10106/27553