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Volumn 7, Issue 1, 2013, Pages 102-110

Recent development on statistical methods for personalized medicine discovery

Author keywords

dynamic treatment regimes; personalized medicine; Q learning; reinforcement learning

Indexed keywords

HUMAN; PERSONALIZED MEDICINE; REINFORCEMENT; STATISTICAL ANALYSIS;

EID: 84874810512     PISSN: 16737342     EISSN: 16737458     Source Type: Journal    
DOI: 10.1007/s11684-013-0245-7     Document Type: Review
Times cited : (19)

References (54)
  • 1
    • 0038718522 scopus 로고    scopus 로고
    • Developing inhibitors of the epidermal growth factor receptor for cancer treatment
    • Grünwald V, Hidalgo M. Developing inhibitors of the epidermal growth factor receptor for cancer treatment. J Natl Cancer Inst 2003; 95(12): 851-867.
    • (2003) J Natl Cancer Inst , vol.95 , Issue.12 , pp. 851-867
    • Grünwald, V.1    Hidalgo, M.2
  • 2
    • 66149155038 scopus 로고    scopus 로고
    • Role of biologic therapy and chemotherapy in hormone receptor- and HER2-positive breast cancer
    • Buzdar AU. Role of biologic therapy and chemotherapy in hormone receptor- and HER2-positive breast cancer. Ann Oncol 2009; 20(6): 993-999.
    • (2009) Ann Oncol , vol.20 , Issue.6 , pp. 993-999
    • Buzdar, A.U.1
  • 3
    • 0029550434 scopus 로고
    • Pattern of alliance and outcome in short-term individual psychotherapy
    • Piper WE, Boroto DR, Joyce AS, McCallum M, Azim HFA. Pattern of alliance and outcome in short-term individual psychotherapy. Psychotherapy 1995; 32(4): 639-647.
    • (1995) Psychotherapy , vol.32 , Issue.4 , pp. 639-647
    • Piper, W.E.1    Boroto, D.R.2    Joyce, A.S.3    McCallum, M.4    Azim, H.F.A.5
  • 5
    • 0033832277 scopus 로고    scopus 로고
    • Olanzapine optimal dose: results of an open-label multicenter study in schizophrenic patients. olanzapine late-phase ii study group
    • Group TOLPIS
    • Ishigooka J, Murasaki M, Miura S, Group TOLPIS. Olanzapine optimal dose: results of an open-label multicenter study in schizophrenic patients. olanzapine late-phase ii study group. Psychiatry Clin Neurosci 2000; 54(4): 467-478.
    • (2000) Psychiatry Clin Neurosci , vol.54 , Issue.4 , pp. 467-478
    • Ishigooka, J.1    Murasaki, M.2    Miura, S.3
  • 8
    • 33846260190 scopus 로고    scopus 로고
    • Methodological challenges in constructing effective treatment sequences for chronic psychiatric disorders
    • MCATS
    • Murphy SA, Oslin DW, Rush AJ, Zhu J; MCATS. Methodological challenges in constructing effective treatment sequences for chronic psychiatric disorders. Neuropsychopharmacology 2007; 32(2): 257-262.
    • (2007) Neuropsychopharmacology , vol.32 , Issue.2 , pp. 257-262
    • Murphy, S.A.1    Oslin, D.W.2    Rush, A.J.3    Zhu, J.4
  • 9
    • 36849051803 scopus 로고    scopus 로고
    • Duration of first-line chemotherapy in advanced non small-cell lung cancer: less is more in the era of effective subsequent therapies
    • Socinski MA, Stinchcombe TE. Duration of first-line chemotherapy in advanced non small-cell lung cancer: less is more in the era of effective subsequent therapies. J Clin Oncol 2007; 25(33): 5155-5157.
    • (2007) J Clin Oncol , vol.25 , Issue.33 , pp. 5155-5157
    • Socinski, M.A.1    Stinchcombe, T.E.2
  • 11
    • 77954827460 scopus 로고    scopus 로고
    • The path to personalized medicine
    • Hamburg MA, Collins FS. The path to personalized medicine. N Engl J Med 2010; 363(4): 301-304.
    • (2010) N Engl J Med , vol.363 , Issue.4 , pp. 301-304
    • Hamburg, M.A.1    Collins, F.S.2
  • 12
    • 15744374441 scopus 로고    scopus 로고
    • Clinical trial designs for predictive marker validation in cancer treatment trials
    • Sargent DJ, Conley BA, Allegra C, Collette L. Clinical trial designs for predictive marker validation in cancer treatment trials. J Clin Oncol 2005; 23(9): 2020-2027.
    • (2005) J Clin Oncol , vol.23 , Issue.9 , pp. 2020-2027
    • Sargent, D.J.1    Conley, B.A.2    Allegra, C.3    Collette, L.4
  • 13
    • 59649109483 scopus 로고    scopus 로고
    • Translating scientific opportunity into public health impact: a strategic plan for research on mental illness
    • Insel TR. Translating scientific opportunity into public health impact: a strategic plan for research on mental illness. Arch Gen Psychiatry 2009; 66(2): 128-133.
    • (2009) Arch Gen Psychiatry , vol.66 , Issue.2 , pp. 128-133
    • Insel, T.R.1
  • 14
    • 19144362679 scopus 로고    scopus 로고
    • An experimental design for the development of adaptive treatment strategies
    • Murphy SA. An experimental design for the development of adaptive treatment strategies. Stat Med 2005; 24(10): 1455-1481.
    • (2005) Stat Med , vol.24 , Issue.10 , pp. 1455-1481
    • Murphy, S.A.1
  • 15
    • 0037108235 scopus 로고    scopus 로고
    • Subgroup analysis, covariate adjustment and baseline comparisons in clinical trial reporting: current practice and problems
    • Pocock SJ, Assmann SE, Enos LE, Kasten LE. Subgroup analysis, covariate adjustment and baseline comparisons in clinical trial reporting: current practice and problems. Stat Med 2002; 21(19): 2917-2930.
    • (2002) Stat Med , vol.21 , Issue.19 , pp. 2917-2930
    • Pocock, S.J.1    Assmann, S.E.2    Enos, L.E.3    Kasten, L.E.4
  • 16
    • 36348939350 scopus 로고    scopus 로고
    • Statistics in medicine-reporting of subgroup analyses in clinical trials
    • Wang R, Lagakos SW, Ware JH, Hunter DJ, Drazen JM, Drazen M. Statistics in medicine-reporting of subgroup analyses in clinical trials. N Engl J Med 2007; 357(21): 2189-2194.
    • (2007) N Engl J Med , vol.357 , Issue.21 , pp. 2189-2194
    • Wang, R.1    Lagakos, S.W.2    Ware, J.H.3    Hunter, D.J.4    Drazen, J.M.5    Drazen, M.6
  • 17
    • 40849135634 scopus 로고    scopus 로고
    • Subgroup analyses in clinical trials
    • Kent D, Hayward R. Subgroup analyses in clinical trials. N Engl J Med 2008; 358(11): 1199.
    • (2008) N Engl J Med , vol.358 , Issue.11 , pp. 1199
    • Kent, D.1    Hayward, R.2
  • 18
    • 0034712491 scopus 로고    scopus 로고
    • Subgroup analysis and other (mis)uses of baseline data in clinical trials
    • Assmann SF, Pocock SJ, Enos LE, Kasten LE. Subgroup analysis and other (mis)uses of baseline data in clinical trials. Lancet 2000; 355(9209): 1064-1069.
    • (2000) Lancet , vol.355 , Issue.9209 , pp. 1064-1069
    • Assmann, S.F.1    Pocock, S.J.2    Enos, L.E.3    Kasten, L.E.4
  • 19
    • 33645895554 scopus 로고    scopus 로고
    • The challenge of subgroup analyses-reporting without distorting
    • Lagakos SW. The challenge of subgroup analyses-reporting without distorting. N Engl J Med 2006; 354(16): 1667-1669.
    • (2006) N Engl J Med , vol.354 , Issue.16 , pp. 1667-1669
    • Lagakos, S.W.1
  • 20
    • 0022256862 scopus 로고
    • Assessing apparent treatment-covariate interactions in randomized clinical trials
    • Byar DP. Assessing apparent treatment-covariate interactions in randomized clinical trials. Stat Med 1985; 4(3): 255-263.
    • (1985) Stat Med , vol.4 , Issue.3 , pp. 255-263
    • Byar, D.P.1
  • 22
    • 27644473876 scopus 로고    scopus 로고
    • Responder identicatifion in clinical trials with censored data
    • Kehl V, Ulm K. Responder identicatifion in clinical trials with censored data. Comput Stat Data Anal 2006; 50(5): 1338-1355.
    • (2006) Comput Stat Data Anal , vol.50 , Issue.5 , pp. 1338-1355
    • Kehl, V.1    Ulm, K.2
  • 24
    • 34047219367 scopus 로고    scopus 로고
    • Adapting judicial supervision to the risk level of drug offenders: Discharge and 6-month outcomes from a prospective matching study
    • Marlowe DB, Festinger DS, Dugosh KL, Lee PA, Benasutti KM. Adapting judicial supervision to the risk level of drug offenders: Discharge and 6-month outcomes from a prospective matching study. Drug Alcohol Depend 2007; 88(Suppl 2): S4-13.
    • (2007) Drug Alcohol Depend , vol.88 , Issue.SUPPL. 2 , pp. 4-13
    • Marlowe, D.B.1    Festinger, D.S.2    Dugosh, K.L.3    Lee, P.A.4    Benasutti, K.M.5
  • 25
    • 77952816212 scopus 로고    scopus 로고
    • Calibrating parametric subject-specific risk estimation
    • Cai T, Tian L, Uno H, Solomon SD, Wei LJ. Calibrating parametric subject-specific risk estimation. Biometrika 2010; 97(2): 389-404.
    • (2010) Biometrika , vol.97 , Issue.2 , pp. 389-404
    • Cai, T.1    Tian, L.2    Uno, H.3    Solomon, S.D.4    Wei, L.J.5
  • 26
    • 84870707096 scopus 로고    scopus 로고
    • Performance guarantees for individualized treatment rules
    • Qian M, Murphy SA. Performance guarantees for individualized treatment rules. Ann Stat 2011; 39(2): 1180-1210.
    • (2011) Ann Stat , vol.39 , Issue.2 , pp. 1180-1210
    • Qian, M.1    Murphy, S.A.2
  • 27
    • 84972969037 scopus 로고
    • Correcting for non-compliance in randomized trials using structural nested mean models
    • Robins J. Correcting for non-compliance in randomized trials using structural nested mean models. Commun Stat 1994; 23(8): 2379-2412.
    • (1994) Commun Stat , vol.23 , Issue.8 , pp. 2379-2412
    • Robins, J.1
  • 28
    • 0038107066 scopus 로고    scopus 로고
    • Optimal dynamic treatment regimes
    • Murphy SA. Optimal dynamic treatment regimes. J R Stat Soc, B 2003; 65(2): 331-355.
    • (2003) J R Stat Soc, B , vol.65 , Issue.2 , pp. 331-355
    • Murphy, S.A.1
  • 30
    • 41649114164 scopus 로고    scopus 로고
    • Enabling personalized cancer medicine through analysis of gene-expression patterns
    • van't Veer LJ, Bernards R. Enabling personalized cancer medicine through analysis of gene-expression patterns. Nature 2008; 452(7187): 564-570.
    • (2008) Nature , vol.452 , Issue.7187 , pp. 564-570
    • van't Veer, L.J.1    Bernards, R.2
  • 31
    • 23244437791 scopus 로고    scopus 로고
    • A generalization error for q-learning
    • Murphy SA. A generalization error for q-learning. J Mach Learn Res 2005; 6: 1073-1097.
    • (2005) J Mach Learn Res , vol.6 , pp. 1073-1097
    • Murphy, S.A.1
  • 32
    • 84870657864 scopus 로고    scopus 로고
    • Estimating individualized treatment rules using outcome weighted learning
    • Zhao YQ, Zeng D, Rush AJ, Kosorok MR. Estimating individualized treatment rules using outcome weighted learning. J Am Stat Assoc 2012; 107(499): 1106-1118.
    • (2012) J Am Stat Assoc , vol.107 , Issue.499 , pp. 1106-1118
    • Zhao, Y.Q.1    Zeng, D.2    Rush, A.J.3    Kosorok, M.R.4
  • 33
    • 0034364917 scopus 로고    scopus 로고
    • A design for testing clinical strategies: biased adaptive withinsubject randomization
    • Lavori P W, Dawson R. A design for testing clinical strategies: biased adaptive withinsubject randomization. J R Stat Soc [Ser A] 2000; 163: 29-38.
    • (2000) J R Stat Soc [Ser A] , vol.163 , pp. 29-38
    • Lavori, P.W.1    Dawson, R.2
  • 34
    • 85047692405 scopus 로고    scopus 로고
    • Dynamic treatment regimes: practical design considerations
    • Lavori PW, Dawson R. Dynamic treatment regimes: practical design considerations. Clin Trials 2004; 1(1): 9-20.
    • (2004) Clin Trials , vol.1 , Issue.1 , pp. 9-20
    • Lavori, P.W.1    Dawson, R.2
  • 35
    • 7744234104 scopus 로고    scopus 로고
    • Placebo-free designs for evaluating new mental health treatments: the use of adaptive treatment strategies
    • Dawson R, Lavori PW. Placebo-free designs for evaluating new mental health treatments: the use of adaptive treatment strategies. Stat Med 2004; 23(21): 3249-3262.
    • (2004) Stat Med , vol.23 , Issue.21 , pp. 3249-3262
    • Dawson, R.1    Lavori, P.W.2
  • 36
    • 0034732660 scopus 로고    scopus 로고
    • Evaluating multiple treatment courses in clinical trials
    • Thall PF, Millikan RE, Sung HG. Evaluating multiple treatment courses in clinical trials. Stat Med 2000; 19(8): 1011-1028.
    • (2000) Stat Med , vol.19 , Issue.8 , pp. 1011-1028
    • Thall, P.F.1    Millikan, R.E.2    Sung, H.G.3
  • 40
    • 1542469617 scopus 로고    scopus 로고
    • Marginal mean models for dynamic regimes
    • CPPRG
    • Murphy SA, van der Laan MJ, Robins JM, CPPRG. Marginal mean models for dynamic regimes. J Am Stat Assoc 2001; 96(456): 1410-1423.
    • (2001) J Am Stat Assoc , vol.96 , Issue.456 , pp. 1410-1423
    • Murphy, S.A.1    van der Laan, M.J.2    Robins, J.M.3
  • 41
    • 0036489042 scopus 로고    scopus 로고
    • Selecting therapeutic strategies based on efficacy and death in multicourse clinical trials
    • Thall PF, Sung HG, Estey EH. Selecting therapeutic strategies based on efficacy and death in multicourse clinical trials. J Am Stat Assoc 2002; 97(457): 29-39.
    • (2002) J Am Stat Assoc , vol.97 , Issue.457 , pp. 29-39
    • Thall, P.F.1    Sung, H.G.2    Estey, E.H.3
  • 42
    • 35648935906 scopus 로고    scopus 로고
    • Bayesian and frequentist two-stage treatment strategies based on sequential failure times subject to interval censoring
    • Thall PF, Wooten LH, Logothetis CJ, Millikan RE, Tannir NM. Bayesian and frequentist two-stage treatment strategies based on sequential failure times subject to interval censoring. Stat Med 2007; 26(26): 4687-4702.
    • (2007) Stat Med , vol.26 , Issue.26 , pp. 4687-4702
    • Thall, P.F.1    Wooten, L.H.2    Logothetis, C.J.3    Millikan, R.E.4    Tannir, N.M.5
  • 43
    • 85012688561 scopus 로고
    • Princeton: Princeton University Press
    • Bellman R. Dynamic Programming. Princeton: Princeton University Press, 1957.
    • (1957) Dynamic Programming
    • Bellman, R.1
  • 46
    • 70449449564 scopus 로고    scopus 로고
    • Reinforcement learning design for cancer clinical trials
    • Zhao Y, Kosorok MR, Zeng D. Reinforcement learning design for cancer clinical trials. Stat Med 2009; 28(26): 3294-3315.
    • (2009) Stat Med , vol.28 , Issue.26 , pp. 3294-3315
    • Zhao, Y.1    Kosorok, M.R.2    Zeng, D.3
  • 47
    • 83655181241 scopus 로고    scopus 로고
    • Reinforcement learning strategies for clinical trials in nonsmall cell lung cancer
    • Zhao Y, Zeng D, Socinski MA, Kosorok MR. Reinforcement learning strategies for clinical trials in nonsmall cell lung cancer. Biometrics 2011; 67(4): 1422-1433.
    • (2011) Biometrics , vol.67 , Issue.4 , pp. 1422-1433
    • Zhao, Y.1    Zeng, D.2    Socinski, M.A.3    Kosorok, M.R.4
  • 50
    • 33947624563 scopus 로고    scopus 로고
    • Demystifying optimal dynamic treatment regimes
    • Moodie EEM, Richardson TS, Stephens DA. Demystifying optimal dynamic treatment regimes. Biometrics 2007; 63(2): 447-455.
    • (2007) Biometrics , vol.63 , Issue.2 , pp. 447-455
    • Moodie, E.E.M.1    Richardson, T.S.2    Stephens, D.A.3
  • 51
    • 77954420461 scopus 로고    scopus 로고
    • Inference for non-regular parameters in optimal dynamic treatment regimes
    • Chakraborty B, Murphy SA, Strecher V. Inference for non-regular parameters in optimal dynamic treatment regimes. Stat Methods Med Res 2010; 19(3): 317-343.
    • (2010) Stat Methods Med Res , vol.19 , Issue.3 , pp. 317-343
    • Chakraborty, B.1    Murphy, S.A.2    Strecher, V.3
  • 53
    • 84861349230 scopus 로고    scopus 로고
    • Q-learning with censored data
    • Goldberg Y, Kosorok MR. Q-learning with censored data. Ann Stat 2012; 40(1): 529-560.
    • (2012) Ann Stat , vol.40 , Issue.1 , pp. 529-560
    • Goldberg, Y.1    Kosorok, M.R.2


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