The use of group sequential designs with common competing risks tests.
- Published in:
- 2013
- By:
- Publication type:
- journal article
Works matching IS 02776715 AND DT 2013 AND VI 32 AND IP 6
Results: 18
1
2
Comment on 'Empirical assessment of methods for risk identification in healthcare data: results from the experiments of the Observational Medical Outcomes Partnership'.
- Published in:
- 2013
- By:
- Publication type:
- Journal Article
3
A weighted generalized score statistic for comparison of predictive values of diagnostic tests.
- Published in:
- Statistics in Medicine, 2013, v. 32, n. 6, p. 964, doi. 10.1002/sim.5587
- By:
- Publication type:
- Article
4
Correction: 'Generating survival times to simulate Cox proportional hazards models with time-varying covariates'.
- Published in:
- Statistics in Medicine, 2013, v. 32, n. 6, p. 1078, doi. 10.1002/sim.5723
- By:
- Publication type:
- Article
5
A semiparametric recurrent events model with time-varying coefficients.
- Published in:
- Statistics in Medicine, 2013, v. 32, n. 6, p. 1016, doi. 10.1002/sim.5575
- By:
- Publication type:
- Article
6
Bivariate random change point models for longitudinal outcomes.
- Published in:
- Statistics in Medicine, 2013, v. 32, n. 6, p. 1038, doi. 10.1002/sim.5557
- By:
- Publication type:
- Article
7
The use of group sequential designs with common competing risks tests.
- Published in:
- Statistics in Medicine, 2013, v. 32, n. 6, p. 899, doi. 10.1002/sim.5597
- By:
- Publication type:
- Article
8
The impact of baseline covariates on the efficiency of statistical analyses of crossover designs.
- Published in:
- Statistics in Medicine, 2013, v. 32, n. 6, p. 956, doi. 10.1002/sim.5579
- By:
- Publication type:
- Article
9
Doubly robust estimation, optimally truncated inverse-intensity weighting and increment-based methods for the analysis of irregularly observed longitudinal data.
- Published in:
- Statistics in Medicine, 2013, v. 32, n. 6, p. 1054, doi. 10.1002/sim.5640
- By:
- Publication type:
- Article
10
Response to Comment on 'Empirical assessment of methods for risk identification in healthcare data'.
- Published in:
- Statistics in Medicine, 2013, v. 32, n. 6, p. 1075, doi. 10.1002/sim.5725
- By:
- Publication type:
- Article
11
Early termination of a two-stage study to develop and validate a panel of biomarkers.
- Published in:
- Statistics in Medicine, 2013, v. 32, n. 6, p. 1027, doi. 10.1002/sim.5622
- By:
- Publication type:
- Article
12
Regression with incomplete covariates and left-truncated time-to-event data.
- Published in:
- Statistics in Medicine, 2013, v. 32, n. 6, p. 1004, doi. 10.1002/sim.5581
- By:
- Publication type:
- Article
13
Generalization of Youden index for multiple-class classification problems applied to the assessment of externally validated cognition in Parkinson disease screening.
- Published in:
- Statistics in Medicine, 2013, v. 32, n. 6, p. 995, doi. 10.1002/sim.5592
- By:
- Publication type:
- Article
14
Recursive partitioning for monotone missing at random longitudinal markers.
- Published in:
- Statistics in Medicine, 2013, v. 32, n. 6, p. 978, doi. 10.1002/sim.5574
- By:
- Publication type:
- Article
15
Comment on 'Empirical assessment of methods for risk identification in healthcare data: results from the experiments of the Observational Medical Outcomes Partnership' Comment on 'Empirical assessment of methods for risk identification in healthcare data: results from the experiments of the Observational Medical Outcomes Partnership'
- Published in:
- Statistics in Medicine, 2013, v. 32, n. 6, p. 1073, doi. 10.1002/sim.5699
- By:
- Publication type:
- Article
16
Estimating treatment effects in a two-arm parallel trial of a continuous outcome.
- Published in:
- Statistics in Medicine, 2013, v. 32, n. 6, p. 941, doi. 10.1002/sim.5556
- By:
- Publication type:
- Article
17
A sensitivity analysis framework for the treatment effect measure used in the meta-analysis of comparative binary data from randomised controlled trials.
- Published in:
- Statistics in Medicine, 2013, v. 32, n. 6, p. 931, doi. 10.1002/sim.5591
- By:
- Publication type:
- Article
18
Combining individual patient data and aggregate data in mixed treatment comparison meta-analysis: Individual patient data may be beneficial if only for a subset of trials.
- Published in:
- Statistics in Medicine, 2013, v. 32, n. 6, p. 914, doi. 10.1002/sim.5584
- By:
- Publication type:
- Article