-
1
-
-
0346880128
-
Identification of causal effects using instrumental variables (with discussion)
-
Angrist, J. D., Imbens, G. W. and Rubin, D. B. (1996) Identification of causal effects using instrumental variables (with discussion). J. Am. Statist. Ass., 91, 444–455.
-
(1996)
J. Am. Statist. Ass.
, vol.91
, pp. 444-455
-
-
Angrist, J.D.1
Imbens, G.W.2
Rubin, D.B.3
-
2
-
-
84858865962
-
Predicting treatment effect from surrogate endpoints and historical trials: an extrapolation involving probabilities of a binary outcome or survival to a specific time
-
Baker, S. G., Sargent, D. J., Buyse, M. and Burzykowski, T. (2012) Predicting treatment effect from surrogate endpoints and historical trials: an extrapolation involving probabilities of a binary outcome or survival to a specific time. Biometrics, 68, 248–257.
-
(2012)
Biometrics
, vol.68
, pp. 248-257
-
-
Baker, S.G.1
Sargent, D.J.2
Buyse, M.3
Burzykowski, T.4
-
3
-
-
35648955054
-
Criteria for surrogate end points
-
Chen, H., Geng, Z. and Jia, J. (2007) Criteria for surrogate end points. J. R. Statist. Soc. B, 69, 919–932.
-
(2007)
J. R. Statist. Soc. B
, vol.69
, pp. 919-932
-
-
Chen, H.1
Geng, Z.2
Jia, J.3
-
4
-
-
33750346366
-
Bounds on causal effects in three-arm trials with non-compliance
-
Cheng, J. and Small, D. S. (2006) Bounds on causal effects in three-arm trials with non-compliance. J. R. Statist. Soc. B, 68, 815–836.
-
(2006)
J. R. Statist. Soc. B
, vol.68
, pp. 815-836
-
-
Cheng, J.1
Small, D.S.2
-
5
-
-
0030777744
-
Meta-analysis for the evaluation of potential surrogate markers
-
Daniels, M. J. and Hughes, M. D. (1997) Meta-analysis for the evaluation of potential surrogate markers. Statist. Med., 16, 1965–1982.
-
(1997)
Statist. Med.
, vol.16
, pp. 1965-1982
-
-
Daniels, M.J.1
Hughes, M.D.2
-
6
-
-
84862969866
-
Identifiability and estimation of causal effects by principal stratification with outcomes truncated by death
-
Ding, P., Geng, Z., Yan, W. and Zhou, X. H. (2011) Identifiability and estimation of causal effects by principal stratification with outcomes truncated by death. J. Am. Statist. Ass., 106, 1578–1591.
-
(2011)
J. Am. Statist. Ass.
, vol.106
, pp. 1578-1591
-
-
Ding, P.1
Geng, Z.2
Yan, W.3
Zhou, X.H.4
-
7
-
-
33845484073
-
Augmented designs to assess immune response in vaccine trials
-
Follmann, D. (2006) Augmented designs to assess immune response in vaccine trials. Biometrics, 62, 1161–1169.
-
(2006)
Biometrics
, vol.62
, pp. 1161-1169
-
-
Follmann, D.1
-
8
-
-
0000741850
-
Addressing complications of intention-to-treat analysis in the combined presence of all-or-none treatment-noncompliance and subsequent missing outcomes
-
Frangakis, C. E. and Rubin, D. B. (1999) Addressing complications of intention-to-treat analysis in the combined presence of all-or-none treatment-noncompliance and subsequent missing outcomes. Biometrika, 86, 365–379.
-
(1999)
Biometrika
, vol.86
, pp. 365-379
-
-
Frangakis, C.E.1
Rubin, D.B.2
-
9
-
-
0036188782
-
Principal stratification in causal inference
-
Frangakis, C. E. and Rubin, D. B. (2002) Principal stratification in causal inference. Biometrics, 58, 21–29.
-
(2002)
Biometrics
, vol.58
, pp. 21-29
-
-
Frangakis, C.E.1
Rubin, D.B.2
-
10
-
-
84864378267
-
Evaluating the effect of training on wages in the presence of noncompliance, nonemployment, and missing outcome data
-
Frumento, P., Mealli, F., Pacini, B. and Rubin, D. B. (2012) Evaluating the effect of training on wages in the presence of noncompliance, nonemployment, and missing outcome data. J. Am. Statist. Ass., 107, 450–466.
-
(2012)
J. Am. Statist. Ass.
, vol.107
, pp. 450-466
-
-
Frumento, P.1
Mealli, F.2
Pacini, B.3
Rubin, D.B.4
-
11
-
-
69949109705
-
Mediation analysis with principal stratification
-
Gallop, R., Small, D. S., Lin, J. Y., Elliott, M. R., Joffe, M. and Ten Have, T. R. (2009) Mediation analysis with principal stratification. Statist. Med., 28, 1108–1130.
-
(2009)
Statist. Med.
, vol.28
, pp. 1108-1130
-
-
Gallop, R.1
Small, D.S.2
Lin, J.Y.3
Elliott, M.R.4
Joffe, M.5
Ten Have, T.R.6
-
12
-
-
56049086418
-
Evaluating candidate principal surrogate endpoints
-
Gilbert, P. B. and Hudgens, M. G. (2008) Evaluating candidate principal surrogate endpoints. Biometrics, 64, 1146–1154.
-
(2008)
Biometrics
, vol.64
, pp. 1146-1154
-
-
Gilbert, P.B.1
Hudgens, M.G.2
-
13
-
-
85041975304
-
Exploratory latent structure analysis using both identifiable and unidentifiable models
-
Goodman, L. A. (1974) Exploratory latent structure analysis using both identifiable and unidentifiable models. Biometrika, 61, 215–231.
-
(1974)
Biometrika
, vol.61
, pp. 215-231
-
-
Goodman, L.A.1
-
14
-
-
74049133642
-
What are the limits of posterior distributions arising from nonidentified models, and why should we care?
-
Gustafson, P. (2009) What are the limits of posterior distributions arising from nonidentified models, and why should we care? J. Am. Statist. Ass., 104, 1682–1695.
-
(2009)
J. Am. Statist. Ass.
, vol.104
, pp. 1682-1695
-
-
Gustafson, P.1
-
15
-
-
83655192118
-
Comparing biomarkers as principal surrogate endpoints
-
Huang, Y. and Gilbert, P. B. (2011) Comparing biomarkers as principal surrogate endpoints. Biometrics, 67, 1442–1451.
-
(2011)
Biometrics
, vol.67
, pp. 1442-1451
-
-
Huang, Y.1
Gilbert, P.B.2
-
16
-
-
66949158002
-
Related causal frameworks for surrogate outcomes
-
Joffe, M. M. and Greene, T. (2009) Related causal frameworks for surrogate outcomes. Biometrics, 65, 530–538.
-
(2009)
Biometrics
, vol.65
, pp. 530-538
-
-
Joffe, M.M.1
Greene, T.2
-
17
-
-
74049163784
-
Criteria for surrogate end points based on causal distributions
-
Ju, C. and Geng, Z. (2010) Criteria for surrogate end points based on causal distributions. J. R. Statist. Soc. B, 72, 129–142.
-
(2010)
J. R. Statist. Soc. B
, vol.72
, pp. 129-142
-
-
Ju, C.1
Geng, Z.2
-
18
-
-
2942590745
-
Discussion on causality
-
Lauritzen, S. L. (2004) Discussion on causality. Scand. J. Statist., 31, 189–193.
-
(2004)
Scand. J. Statist.
, vol.31
, pp. 189-193
-
-
Lauritzen, S.L.1
-
19
-
-
79959383485
-
Causal assessment of surrogacy in a meta-analysis of colorectal cancer trials
-
Li, Y., Taylor, J. M., Elliott, M. R. and Sargent, D. J. (2011) Causal assessment of surrogacy in a meta-analysis of colorectal cancer trials. Biostatistics, 12, 478–492.
-
(2011)
Biostatistics
, vol.12
, pp. 478-492
-
-
Li, Y.1
Taylor, J.M.2
Elliott, M.R.3
Sargent, D.J.4
-
20
-
-
84891499204
-
Exploiting multiple outcomes in Bayesian inference for causal effects with intermediate variables
-
Mattei, A., Li, F. and Mealli, F. (2013) Exploiting multiple outcomes in Bayesian inference for causal effects with intermediate variables. Ann. Appl. Statist., 7, 2336–2360.
-
(2013)
Ann. Appl. Statist.
, vol.7
, pp. 2336-2360
-
-
Mattei, A.1
Li, F.2
Mealli, F.3
-
21
-
-
80054726381
-
Augmented designs to assess principal strata direct effects
-
Mattei, A. and Mealli, F. (2011) Augmented designs to assess principal strata direct effects. J. R. Statist. Soc. B, 73, 729–752.
-
(2011)
J. R. Statist. Soc. B
, vol.73
, pp. 729-752
-
-
Mattei, A.1
Mealli, F.2
-
22
-
-
84902303341
-
Identification of causal effects in the presence of nonignorable missing outcome values
-
Mattei, A., Mealli, F. and Pacini, B. (2014) Identification of causal effects in the presence of nonignorable missing outcome values. Biometrics, 70, 278–288.
-
(2014)
Biometrics
, vol.70
, pp. 278-288
-
-
Mattei, A.1
Mealli, F.2
Pacini, B.3
-
23
-
-
84907672917
-
A refreshing account of principal stratification
-
Mealli, F. and Mattei, A. (2012) A refreshing account of principal stratification. Int. J. Biostatist., 8, 1–37.
-
(2012)
Int. J. Biostatist.
, vol.8
, pp. 1-37
-
-
Mealli, F.1
Mattei, A.2
-
24
-
-
55549147134
-
Comparing principal stratification and selection models in parametric causal inference with nonignorable missingness
-
Mealli, F. and Pacini, B. (2008) Comparing principal stratification and selection models in parametric causal inference with nonignorable missingness. Computnl Statist. Data Anal., 53, 507–516.
-
(2008)
Computnl Statist. Data Anal.
, vol.53
, pp. 507-516
-
-
Mealli, F.1
Pacini, B.2
-
25
-
-
84890044375
-
Using secondary outcomes to sharpen inference in randomized experiments with noncompliance
-
Mealli, F. and Pacini, B. (2013) Using secondary outcomes to sharpen inference in randomized experiments with noncompliance. J. Am. Statist. Ass., 108, 1120–1131.
-
(2013)
J. Am. Statist. Ass.
, vol.108
, pp. 1120-1131
-
-
Mealli, F.1
Pacini, B.2
-
26
-
-
0042742904
-
Posterior predictive p-values
-
Meng, X. L. (1994) Posterior predictive p-values. Ann. Statist., 22, 1142–1160.
-
(1994)
Ann. Statist.
, vol.22
, pp. 1142-1160
-
-
Meng, X.L.1
-
27
-
-
0024520844
-
Surrogate endpoints in clinical trials: definition and operational criteria
-
Prentice, R. L. (1989) Surrogate endpoints in clinical trials: definition and operational criteria. Statist. Med., 8, 431–440.
-
(1989)
Statist. Med.
, vol.8
, pp. 431-440
-
-
Prentice, R.L.1
-
28
-
-
77950979061
-
Assessing surrogate endpoints in vaccine trials with case-cohort sampling and the Cox model
-
Qin, L., Gilbert, P. B., Follmann, D. and Li, D. (2008) Assessing surrogate endpoints in vaccine trials with case-cohort sampling and the Cox model. Ann. Appl. Statist., 2, 386–407.
-
(2008)
Ann. Appl. Statist.
, vol.2
, pp. 386-407
-
-
Qin, L.1
Gilbert, P.B.2
Follmann, D.3
Li, D.4
-
29
-
-
0031315719
-
Latent variable regression for multiple discrete outcomes
-
Roche, K., Miglioretti, D. L., Zeger, S. L. and Rathouz, P. J. (1997) Latent variable regression for multiple discrete outcomes. J. Am. Statist. Ass., 92, 1375–1386.
-
(1997)
J. Am. Statist. Ass.
, vol.92
, pp. 1375-1386
-
-
Roche, K.1
Miglioretti, D.L.2
Zeger, S.L.3
Rathouz, P.J.4
-
30
-
-
84950657856
-
Comment on “Randomization analysis of experimental data: the Fisher randomization test"
-
Rubin, D. B. (1980) Comment on “Randomization analysis of experimental data: the Fisher randomization test". J. Am. Statist. Ass., 75, 591–593.
-
(1980)
J. Am. Statist. Ass.
, vol.75
, pp. 591-593
-
-
Rubin, D.B.1
-
31
-
-
0000439370
-
Bayesianly justifiable and relevant frequency calculations for the applied statistician
-
Rubin, D. B. (1984) Bayesianly justifiable and relevant frequency calculations for the applied statistician. Ann. Statist., 12, 1151–1172.
-
(1984)
Ann. Statist.
, vol.12
, pp. 1151-1172
-
-
Rubin, D.B.1
-
32
-
-
2942562549
-
Direct and indirect causal effects via potential outcomes (with discussion)
-
Rubin, D. B. (2004) Direct and indirect causal effects via potential outcomes (with discussion). Scand. J. Statist., 31, 161–170.
-
(2004)
Scand. J. Statist.
, vol.31
, pp. 161-170
-
-
Rubin, D.B.1
-
33
-
-
33845368290
-
Causal inference through potential outcomes and principal stratification: application to studies with “censoring" due to death (with discussion)
-
Rubin, D. B. (2006) Causal inference through potential outcomes and principal stratification: application to studies with “censoring" due to death (with discussion). Statist. Sci., 21, 299–309.
-
(2006)
Statist. Sci.
, vol.21
, pp. 299-309
-
-
Rubin, D.B.1
-
34
-
-
33644834827
-
Disease-free survival versus overall survival as a primary end point for adjuvant colon cancer studies: individual patient data from 20,898 patients on 18 randomized trials
-
Sargent, D. J., Wieand, H. S., Haller, D. G., Gray, R., Benedetti, J. K., Buyse, M., Labianca, R., Seitz, J. F., O'Callaghan, C. J., Francini, G., Grothey, A., O'Connell, M., Catalano, P. J., Blanke, C. D., Kerr, D., Green, E., Wolmark, N., Andre, T., Goldberg, R. M. and Gramont, A. D. (2005) Disease-free survival versus overall survival as a primary end point for adjuvant colon cancer studies: individual patient data from 20,898 patients on 18 randomized trials. J. Clin. Oncol., 23, 8664–8670.
-
(2005)
J. Clin. Oncol.
, vol.23
, pp. 8664-8670
-
-
Sargent, D.J.1
Wieand, H.S.2
Haller, D.G.3
Gray, R.4
Benedetti, J.K.5
Buyse, M.6
Labianca, R.7
Seitz, J.F.8
O'Callaghan, C.J.9
Francini, G.10
Grothey, A.11
O'Connell, M.12
Catalano, P.J.13
Blanke, C.D.14
Kerr, D.15
Green, E.16
Wolmark, N.17
Andre, T.18
Goldberg, R.M.19
Gramont, A.D.20
more..
-
35
-
-
84856017133
-
A Bayesian semiparametric approach to intermediate variables in causal inference
-
Schwartz, S. L., Li, F. and Mealli, F. (2011) A Bayesian semiparametric approach to intermediate variables in causal inference. J. Am. Statist. Ass., 106, 1331–1344.
-
(2011)
J. Am. Statist. Ass.
, vol.106
, pp. 1331-1344
-
-
Schwartz, S.L.1
Li, F.2
Mealli, F.3
-
37
-
-
84896797093
-
Surrogate measures and consistent surrogates (with discussion)
-
VanderWeele, T. J. (2013) Surrogate measures and consistent surrogates (with discussion). Biometrics, 69, 561–565.
-
(2013)
Biometrics
, vol.69
, pp. 561-565
-
-
VanderWeele, T.J.1
-
38
-
-
82655162011
-
Identifiability of causal effects on a binary outcome within principal strata
-
Yan, W., Ding, P., Geng, Z. and Zhou, X. H. (2011) Identifiability of causal effects on a binary outcome within principal strata. Front. Math. China, 6, 1249–1263.
-
(2011)
Front. Math. China
, vol.6
, pp. 1249-1263
-
-
Yan, W.1
Ding, P.2
Geng, Z.3
Zhou, X.H.4
-
39
-
-
84980051304
-
Using post-outcome measurement information in censoring-by-death problems
-
to be published
-
Yang, F. and Small, D. S. (2015) Using post-outcome measurement information in censoring-by-death problems. J. R. Statist. Soc. B, to be published.
-
(2015)
J. R. Statist. Soc. B
-
-
Yang, F.1
Small, D.S.2
-
40
-
-
1642359207
-
Estimation of causal effects via principal stratification when some outcomes are truncated by “death"
-
Zhang, J. L. and Rubin, D. B. (2003) Estimation of causal effects via principal stratification when some outcomes are truncated by “death". J. Educ. Behav. Statist., 28, 353–368.
-
(2003)
J. Educ. Behav. Statist.
, vol.28
, pp. 353-368
-
-
Zhang, J.L.1
Rubin, D.B.2
-
41
-
-
70350304288
-
Likelihood-based analysis of causal effects of job-training programs using principal stratification
-
Zhang, J. L., Rubin, D. B. and Mealli, F. (2009) Likelihood-based analysis of causal effects of job-training programs using principal stratification. J. Am. Statist. Ass., 104, 166–176.
-
(2009)
J. Am. Statist. Ass.
, vol.104
, pp. 166-176
-
-
Zhang, J.L.1
Rubin, D.B.2
Mealli, F.3
-
42
-
-
84866768216
-
A Bayesian approach to improved estimation of causal effect predictiveness for a principal surrogate endpoint
-
Zigler, C. M. and Belin, T. R. (2012) A Bayesian approach to improved estimation of causal effect predictiveness for a principal surrogate endpoint. Biometrics, 68, 922–932.
-
(2012)
Biometrics
, vol.68
, pp. 922-932
-
-
Zigler, C.M.1
Belin, T.R.2
|