-
1
-
-
77949721579
-
Structural nested mean models for assessing time-varying effect moderation
-
ALMIRALL, D., ten haVE, T. & Murphy, S. A. (2010). Structural nested mean models for assessing time-varying effect moderation. Biometrics 66, 131-9
-
(2010)
Biometrics
, vol.66
, pp. 131-139
-
-
Almirall, D.1
Tenhave, T.2
Murphy, S.A.3
-
3
-
-
77954420461
-
Inference for non-regular parameters in optimal dynamic treatment regimes
-
CHAKRABORTY, B., murphy, S. A. & Strecher, V. (2010). Inference for non-regular parameters in optimal dynamic treatment regimes. Statist. Meth.: Med. Res. 19, 317-43
-
(2010)
Statist. Meth.: Med. Res
, vol.19
, pp. 317-343
-
-
Chakraborty, B.1
Murphy, S.A.2
Strecher, V.3
-
5
-
-
78650042610
-
Regret-regression for optimal dynamic treatment regimes
-
HENDERSON, R., ansell, P. & Alshibani, D. (2010). Regret-regression for optimal dynamic treatment regimes. Biometrics 66, 1192-201
-
(2010)
Biometrics
, vol.66
, pp. 1192-1201
-
-
Henderson, R.1
Ansell, P.2
Alshibani, D.3
-
6
-
-
79961236996
-
Genetic optimization using derivatives: The rgenoud package for R
-
Mebane, W. R. & Sekhon, J. S. (2011). Genetic optimization using derivatives: The rgenoud package for R. J. Statist. Software 42, 1-26
-
(2011)
J. Statist. Software
, vol.42
, pp. 1-26
-
-
Mebane, W.R.1
Sekhon, J.S.2
-
7
-
-
33947624563
-
Demystifying optimal dynamic treatment regimes
-
Moodie, E. E. M., RICHARDSON, T. S. & Stephens, D. A. (2007). Demystifying optimal dynamic treatment regimes. Biometrics 63, 447-55
-
(2007)
Biometrics
, vol.63
, pp. 447-455
-
-
Moodie, E.E.M.1
Richardson, T.S.2
Stephens, D.A.3
-
8
-
-
0038107066
-
Optimal dynamic treatment regimes
-
DOI 10.1111/1467-9868.00389
-
Murphy, S. A. (2003). Optimal dynamic treatment regimes (with discussion). J. R. Statist. Soc. B 58, 331-66 (Pubitemid 36607793)
-
(2003)
Journal of the Royal Statistical Society. Series B: Statistical Methodology
, vol.65
, Issue.2
, pp. 331-366
-
-
Murphy, S.A.1
Arjas, E.2
Jennison, C.3
Dawid, A.P.4
Cox, D.R.5
Senn, S.6
Cowell, R.G.7
Didelez, V.8
Gill, R.D.9
Kadane, J.B.10
Robins, J.M.11
-
9
-
-
19144362679
-
An experimental design for the development of adaptive treatment strategies
-
DOI 10.1002/sim.2022
-
Murphy, S. A. (2005). An experimental design for the development of adaptive treatment strategies. Statist. Med. 24, 1455-81 (Pubitemid 40716347)
-
(2005)
Statistics in Medicine
, vol.24
, Issue.10
, pp. 1455-1481
-
-
Murphy, S.A.1
-
10
-
-
33846260190
-
Methodological challenges in constructing effective treatment sequences for chronic psychiatric disorders
-
DOI 10.1038/sj.npp.1301241, PII 1301241
-
Murphy, S. A., oslin, D. W., rush, A. J. & Zhu, J. (2007). Methodological challenges in constructing effective treatment sequences for chronic psychiatric disorders. Neuropsychopharmacology 32, 257-62 (Pubitemid 46106932)
-
(2007)
Neuropsychopharmacology
, vol.32
, Issue.2
, pp. 257-262
-
-
Murphy, S.A.1
Oslin, D.W.2
Rush, A.J.3
Zhu, J.4
-
11
-
-
77950539248
-
Dynamic regime marginal structural mean models for estimation of optimal dynamic treatment regimes, Part I: Main content
-
Article 8 DOI: 10.2202/1557-4679.1200
-
Orellana, L., ROTNITZKY, A. & Robins, J. (2010). Dynamic regime marginal structural mean models for estimation of optimal dynamic treatment regimes, Part I: Main content. Int. J. Biostatist. 6, Article 8, DOI: 10.2202/1557-4679.1200
-
(2010)
Int. J. Biostatist
, pp. 6
-
-
Orellana, L.1
Rotnitzky, A.2
Robins, J.3
-
12
-
-
46149139403
-
A new approach to causal inference in mortality studies with sustained exposure periods: Applications to control of the healthy worker survivor effect
-
Robins, J. M. (1986). A new approach to causal inference in mortality studies with sustained exposure periods: Applications to control of the healthy worker survivor effect. Math. Mod. 7, 1393-512
-
(1986)
Math. Mod
, vol.7
, pp. 1393-1512
-
-
Robins, J.M.1
-
13
-
-
33845913126
-
Optimal structured nested models for optimal sequential decisions
-
ed. D. Y. Lin and P. J. Heagerty. New York: Springer
-
Robins, J. M. (2004). Optimal structured nested models for optimal sequential decisions. In Proc. 2nd Seattle Symp. Biostatist., ed. D. Y. Lin and P. J. Heagerty, pp. 189-326. New York: Springer
-
(2004)
Proc. 2nd Seattle Symp. Biostatist
, pp. 189-326
-
-
Robins, J.M.1
-
14
-
-
53849122359
-
Estimation and extrapolation of optimal treatment and testing strategies
-
ROBINS, J., ORELLANA, L. & Rotnitzky, A. (2008). Estimation and extrapolation of optimal treatment and testing strategies. Statist. Med. 27, 4678-721
-
(2008)
Statist. Med
, vol.27
, pp. 4678-4721
-
-
Robins, J.1
Orellana, L.2
Rotnitzky, A.3
-
15
-
-
84888862680
-
Estimation of regression coefficients when some regressors are not always observed
-
Robins, J. M., ROTNITZKY, A. & Zhao, L. P. (1994). Estimation of regression coefficients when some regressors are not always observed. J. Am. Statist. Assoc. 89, 846-66
-
(1994)
J. Am. Statist. Assoc
, vol.89
, pp. 846-866
-
-
Robins, J.M.1
Rotnitzky, A.2
Zhao, L.P.3
-
16
-
-
33845907187
-
Estimation of optimal dynamic anticoagulation regimens from observational data: A regret-based approach
-
DOI 10.1002/sim.2694
-
Rosthøj, S., FULLWOOD, C., HENDERSON, R. & Stewart, S. (2006). Estimation of optimal dynamic anticoagulation regimes from observational data: A regret-based approach. Statist. Med. 25, 4197-215 (Pubitemid 46023765)
-
(2006)
Statistics in Medicine
, vol.25
, Issue.24
, pp. 4197-4215
-
-
Rosthoj, S.1
Fullwood, C.2
Henderson, R.3
Stewart, S.4
-
17
-
-
0002531157
-
Bayesian inference for causal effects: The role of randomization
-
Rubin, D. B. (1978). Bayesian inference for causal effects: The role of randomization. Ann. Statist. 6, 34-58
-
(1978)
Ann. Statist
, vol.6
, pp. 34-58
-
-
Rubin, D.B.1
-
21
-
-
84871667403
-
A robust method for estimating optimal treatment regimes
-
Zhang, B., TSIATIS, A. A., laber, E. B. & Davidian, M. (2012). A robust method for estimating optimal treatment regimes. Biometrics, 68, 1010-8
-
(2012)
Biometrics
, vol.68
, pp. 1010-1018
-
-
Zhang, B.1
Tsiatis, A.A.2
Laber, E.B.3
Davidian, M.4
-
22
-
-
70449449564
-
Reinforcement learning design for cancer clinical trials
-
Zhao, Y., KOSOROK, M. R. & Zeng, D. (2009). Reinforcement learning design for cancer clinical trials. Statist. Med. 28, 3294-315
-
(2009)
Statist. Med
, vol.28
, pp. 3294-3315
-
-
Zhao, Y.1
Kosorok, M.R.2
Zeng, D.3
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