-
1
-
-
0141688076
-
Pattern-mixture and selection models for analysing longitudinal data with monotone missing patterns
-
Birmingham, J., Rotnitzky, A., and Fitzmaurice, G. M. (2003). Pattern-mixture and selection models for analysing longitudinal data with monotone missing patterns. Journal of the Royal Statistical Society, Series B 65, 275–297.
-
(2003)
Journal of the Royal Statistical Society, Series B
, vol.65
, pp. 275-297
-
-
Birmingham, J.1
Rotnitzky, A.2
Fitzmaurice, G.M.3
-
2
-
-
79953837790
-
A simple method for principal strata effects when the outcome has been truncated due to death
-
Chiba, Y. and VanderWeele, T. J. (2011). A simple method for principal strata effects when the outcome has been truncated due to death. American Journal of Epidemiology 173, 745–751.
-
(2011)
American Journal of Epidemiology
, vol.173
, pp. 745-751
-
-
Chiba, Y.1
VanderWeele, T.J.2
-
5
-
-
0035403247
-
Transforming self-rated health and the SF-36 scales to include death to improve interpretability
-
Diehr, P., Patrick, D. L., Spertus, J., Kiefe, C. I., Donell, M., and Fihn, S. D. (2001). Transforming self-rated health and the SF-36 scales to include death to improve interpretability. Medical Care 39, 670–680.
-
(2001)
Medical Care
, vol.39
, pp. 670-680
-
-
Diehr, P.1
Patrick, D.L.2
Spertus, J.3
Kiefe, C.I.4
Donell, M.5
Fihn, S.D.6
-
6
-
-
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
-
7
-
-
15044360979
-
An esitmator for treatment comparisons among survivors in randomized trials
-
Hayden, D., Pauler, D. K., and Schoenfeld, D. (2005). An esitmator for treatment comparisons among survivors in randomized trials. Biometrics 61, 305–310.
-
(2005)
Biometrics
, vol.61
, pp. 305-310
-
-
Hayden, D.1
Pauler, D.K.2
Schoenfeld, D.3
-
8
-
-
77954944281
-
Basic concepts and methods for joint models of longitudinal and survival data
-
Ibrahim, J. G., Chu, H., and Chen, L. M. (2010). Basic concepts and methods for joint models of longitudinal and survival data. Journal of Clinical Oncology 28, 2796–2801.
-
(2010)
Journal of Clinical Oncology
, vol.28
, pp. 2796-2801
-
-
Ibrahim, J.G.1
Chu, H.2
Chen, L.M.3
-
9
-
-
12344312472
-
Treatment comparisons for a partially categorical outcome applied to a biomarker with assay limit
-
Joshua Chen, Y., Gould, A. L., and Nessly, M. L. (2005). Treatment comparisons for a partially categorical outcome applied to a biomarker with assay limit. Statistics in Medicine 24, 211–228.
-
(2005)
Statistics in Medicine
, vol.24
, pp. 211-228
-
-
Joshua Chen, Y.1
Gould, A.L.2
Nessly, M.L.3
-
10
-
-
22144491220
-
Directly parameterized regressionconditioning on being alive Analysis of longitudinal data truncatedby deaths
-
Kurland, B. F. and Heagerty, P. J. (2005). Directly parameterized regression conditioning on being alive: Analysis of longitudinal data truncated by deaths. Biostatistics 6, 241–258.
-
(2005)
Biostatistics
, vol.6
, pp. 241-258
-
-
Kurland, B.F.1
Heagerty, P.J.2
-
11
-
-
77951247088
-
Longitudinal data with follow-up truncated by death match the analysis method to research aims
-
Kurland, B. F., Johnson, L. L., Egleston, B. L., and Diehr, P. H. (2009). Longitudinal data with follow-up truncated by death: match the analysis method to research aims. Statistical Science 24, 211–222.
-
(2009)
Statistical Science
, vol.24
, pp. 211-222
-
-
Kurland, B.F.1
Johnson, L.L.2
Egleston, B.L.3
Diehr, P.H.4
-
12
-
-
0032860357
-
Worst-rank score analysis with informatively missing observations in clinical trials
-
Lachin, J. M. (1999). Worst-rank score analysis with informatively missing observations in clinical trials. Controlled Clinical Trials 20, 408–422.
-
(1999)
Controlled Clinical Trials
, vol.20
, pp. 408-422
-
-
Lachin, J.M.1
-
14
-
-
77956890002
-
A class of pattern-mixture models for normal incomplete data
-
Little, R. J. (1994). A class of pattern-mixture models for normal incomplete data. Biometrika 81, 471–483.
-
(1994)
Biometrika
, vol.81
, pp. 471-483
-
-
Little, R.J.1
-
15
-
-
0002322469
-
On a test of whether one of tworandom variables is stochastically larger than the other
-
Mann, H. B. and Whitney, D. R. (1947). On a test of whether one of two random variables is stochastically larger than the other. The Annals of Mathematical Statistics 18, 50–60.
-
(1947)
The Annals of Mathematical Statistics
, vol.18
, pp. 50-60
-
-
Mann, H.B.1
Whitney, D.R.2
-
16
-
-
10344225877
-
Sensitivity analysis of longitudinal binary data with non-monotone missing values
-
Minini, P. and Chavance, M. (2004). Sensitivity analysis of longitudinal binary data with non-monotone missing values. Biostatistics 5, 531–544.
-
(2004)
Biostatistics
, vol.5
, pp. 531-544
-
-
Minini, P.1
Chavance, M.2
-
17
-
-
0003606575
-
A generic approach to posterior integration and Gibbs sampling
-
Purdue University
-
Muller, P. (1991). A generic approach to posterior integration and Gibbs sampling. Technical report, Purdue University.
-
(1991)
Technical report
-
-
Muller, P.1
-
18
-
-
79952576381
-
-
Washington, DC The NationalAcademies Press
-
National Research Council Panel on Handling Missing Data in Clinical Trials (2010). The Prevention and Treatment of Missing Data in Clinical Trials. Washington, DC: The National Academies Press
-
(2010)
The Prevention andTreatment of Missing Data in Clinical Trials
-
-
-
19
-
-
1642370803
-
Slice sampling
-
Neal, R. M. (2003). Slice sampling. Annals of Statistics 31, 705–741.
-
(2003)
Annals of Statistics
, vol.31
, pp. 705-741
-
-
Neal, R.M.1
-
22
-
-
0002121637
-
Sensitivity analysis for selection bias andunmeasured confounding in missing data and causal inferencemodels. In, (eds)
-
New York Springer-Verlag
-
Robins, J., Rotnitzky, A., and Scharfstein, D. (2000). Sensitivity analysis for selection bias and unmeasured confounding in missing data and causal inference models. In Statistical Models for Epidemiology, E. Halloran (eds), 1–94. New York: Springer-Verlag.
-
(2000)
Statistical Models for Epidemiology
, pp. 1-94
-
-
Robins, J.1
Rotnitzky, A.2
Scharfstein, D.3
Halloran, E.4
-
23
-
-
0031014353
-
Non-response models for the analysis of non-monotone ignorable missing data
-
Robins, J. M. and Gill, R. D. (1997). Non-response models for the analysis of non-monotone ignorable missing data. Statistics in Medicine 16, 39–56.
-
(1997)
Statistics in Medicine
, vol.16
, pp. 39-56
-
-
Robins, J.M.1
Gill, R.D.2
-
24
-
-
0001198982
-
The consequences of adjustment for a concomitant variable that has been affected by the treatment
-
Rosenbaum, P. R. (1984). The consequences of adjustment for a concomitant variable that has been affected by the treatment. Journal of the Royal Statistical Society, Series A 147, 656–666.
-
(1984)
Journal of the Royal Statistical Society, Series A
, vol.147
, pp. 656-666
-
-
Rosenbaum, P.R.1
-
25
-
-
0032264836
-
Semiparametric regression for repeated outcomes with non-ignorable non-response
-
Rotnitzky, A., Robins, J., and Scharfstein, D. (1998). Semiparametric regression for repeated outcomes with non-ignorable non-response. Journal of the American Statistical Association 93, 1321–1339.
-
(1998)
Journal of the American Statistical Association
, vol.93
, pp. 1321-1339
-
-
Rotnitzky, A.1
Robins, J.2
Scharfstein, D.3
-
26
-
-
0035102566
-
A sensitivity analysis methodology for randomized trials with potentially non-ignorable cause-specific censoring
-
Rotnitzky, A., Scharfstein, D., Su, T., and Robins, J. (2001a). A sensitivity analysis methodology for randomized trials with potentially non-ignorable cause-specific censoring. Biometrics 57, 103–113.
-
(2001)
Biometrics
, vol.57
, pp. 103-113
-
-
Rotnitzky, A.1
Scharfstein, D.2
Su, T.3
Robins, J.4
-
27
-
-
0035102566
-
Methods for conducting sensitivity analysis of trials with potentially nonignorable competing causes of censoring
-
Rotnitzky, A., Scharfstein, D., Su, T.-L., and Robins, J. (2001b). Methods for conducting sensitivity analysis of trials with potentially nonignorable competing causes of censoring. Biometrics 57, 103–113.
-
(2001)
Biometrics
, vol.57
, pp. 103-113
-
-
Rotnitzky, A.1
Scharfstein, D.2
Su, T.-L.3
Robins, J.4
-
28
-
-
2942658011
-
-
.Incorporating prior beliefs about selection bias into the analysisof randomized trials with missing outcomes
-
Scharfstein, D., Daniels, M., and Robins, J. (2003). Incorporating prior beliefs about selection bias into the analysis of randomized trials with missing outcomes. Biostatistics 4, 495.
-
(2003)
Biostatistics
, vol.4
, pp. 495
-
-
Scharfstein, D.1
Daniels, M.2
Robins, J.3
-
29
-
-
84961340701
-
Global sensitivity analysis for repeated measures studies with informative drop-out
-
Scharfstein, D., McDermott, A., Olson, W., and F, W. (2014). Global sensitivity analysis for repeated measures studies with informative drop-out. Statistics in Biopharmaceutical Research 6, 338–348.
-
(2014)
Statistics in Biopharmaceutical Research
, vol.6
, pp. 338-348
-
-
Scharfstein, D.1
McDermott, A.2
Olson, W.3
-
30
-
-
0442278084
-
Adjusting for non-ignorable drop-out using semiparametric non-response models (with discussion)
-
Scharfstein, D., Rotnitzky, A., and Robins, J. (1999). Adjusting for non-ignorable drop-out using semiparametric non-response models (with discussion). Journal of the American Statistical Association 94, 1096–1146.
-
(1999)
Journal of the American Statistical Association
, vol.94
, pp. 1096-1146
-
-
Scharfstein, D.1
Rotnitzky, A.2
Robins, J.3
-
31
-
-
40849094464
-
Weighted estimating equations for longitudinal studies with death and non-monotone missing time-dependent covariates and outcomes
-
Shardell, M. and Miller, R. R. (2008). Weighted estimating equations for longitudinal studies with death and non-monotone missing time-dependent covariates and outcomes. Statistics in Medicine 27, 1008–1025.
-
(2008)
Statistics in Medicine
, vol.27
, pp. 1008-1025
-
-
Shardell, M.1
Miller, R.R.2
-
32
-
-
84958576820
-
Anamorelinin patients with non-small-cell lung cancer and cachexia (romana 1and romana 2) Results from two randomised, double-blind
-
phase 3trials
-
Temel, J. S., Abernethy, A. P., Currow, D. C., Friend, J., Duus, E. M., Yan, Y., et al. (2016). Anamorelin in patients with non-small-cell lung cancer and cachexia (romana 1 and romana 2): Results from two randomised, double-blind, phase 3 trials. The Lancet Oncology 17, 519–531.
-
(2016)
The Lancet Oncology
, vol.17
, pp. 519-531
-
-
Temel, J.S.1
Abernethy, A.P.2
Currow, D.C.3
Friend, J.4
Duus, E.M.5
Yan, Y.6
-
34
-
-
8644246036
-
Joint modeling of longitudinal and time-to-event data An overview
-
Tsiatis, A. A. and Davidian, M. (2004). Joint modeling of longitudinal and time-to-event data: An overview. Statistica Sinica 14, 809–834.
-
(2004)
Statistica Sinica
, vol.14
, pp. 809-834
-
-
Tsiatis, A.A.1
Davidian, M.2
-
35
-
-
37549032131
-
Estimation of regression models for the mean of repeated outcomes under nonignorable nonmonotone nonresponse
-
Vansteelandt, S., Rotnitzky, A., and Robins, J. (2007). Estimation of regression models for the mean of repeated outcomes under nonignorable nonmonotone nonresponse. Biometrika 94, 841–860.
-
(2007)
Biometrika
, vol.94
, pp. 841-860
-
-
Vansteelandt, S.1
Rotnitzky, A.2
Robins, J.3
-
36
-
-
0030893266
-
A joint model for survival and longitudinal data measured with error
-
Wulfsohn, M. S. and Tsiatis, A. A. (1997). A joint model for survival and longitudinal data measured with error. Biometrics 53, 330–339.
-
(1997)
Biometrics
, vol.53
, pp. 330-339
-
-
Wulfsohn, M.S.1
Tsiatis, A.A.2
|