Optimizing the data combination rule for seamless phase II/III clinical trials.
- Published in:
- 2015
- By:
- Publication type:
- journal article
Works matching IS 02776715 AND DT 2015 AND VI 34 AND IP 1
Results: 16
1
2
A case study of normalization, missing data and variable selection methods in lipidomics.
- Published in:
- Statistics in Medicine, 2015, v. 34, n. 1, p. 59, doi. 10.1002/sim.6296
- By:
- Publication type:
- Article
3
Stepwise two-stage sample size adaptation.
- Published in:
- Statistics in Medicine, 2015, v. 34, n. 1, p. 27, doi. 10.1002/sim.6311
- By:
- Publication type:
- Article
4
A mixture model for the analysis of data derived from record linkage.
- Published in:
- Statistics in Medicine, 2015, v. 34, n. 1, p. 74, doi. 10.1002/sim.6315
- By:
- Publication type:
- Article
5
Optimizing the data combination rule for seamless phase II/III clinical trials.
- Published in:
- Statistics in Medicine, 2015, v. 34, n. 1, p. 39, doi. 10.1002/sim.6316
- By:
- Publication type:
- Article
6
Classification accuracy of claims-based methods for identifying providers failing to meet performance targets.
- Published in:
- Statistics in Medicine, 2015, v. 34, n. 1, p. 93, doi. 10.1002/sim.6318
- By:
- Publication type:
- Article
7
Response to comments on 'Competing designs for drug combination in phase I dose-finding clinical trials' by G. Yin, R. Lin and N. Wages.
- Published in:
- Statistics in Medicine, 2015, v. 34, n. 1, p. 23, doi. 10.1002/sim.6332
- By:
- Publication type:
- Article
8
Comments on 'Competing designs for drug combination in phase I dose-finding clinical trials' by M-K. Riviere, F. Dubois, S. Zohar.
- Published in:
- Statistics in Medicine, 2015, v. 34, n. 1, p. 18, doi. 10.1002/sim.6336
- By:
- Publication type:
- Article
9
Comments on 'Competing designs for drug combination in phase I dose-finding clinical trials' by M-K. Riviere, F. Dubois, and S. Zohar.
- Published in:
- Statistics in Medicine, 2015, v. 34, n. 1, p. 13, doi. 10.1002/sim.6338
- By:
- Publication type:
- Article
10
Competing designs for drug combination in phase I dose-finding clinical trials.
- Published in:
- Statistics in Medicine, 2015, v. 34, n. 1, p. 1, doi. 10.1002/sim.6094
- By:
- Publication type:
- Article
11
Ensemble learning of inverse probability weights for marginal structural modeling in large observational datasets.
- Published in:
- Statistics in Medicine, 2015, v. 34, n. 1, p. 106, doi. 10.1002/sim.6322
- By:
- Publication type:
- Article
12
Generalized estimating equations for genome-wide association studies using longitudinal phenotype data.
- Published in:
- Statistics in Medicine, 2015, v. 34, n. 1, p. 118, doi. 10.1002/sim.6323
- By:
- Publication type:
- Article
13
Selecting a separable parametric spatiotemporal covariance structure for longitudinal imaging data.
- Published in:
- Statistics in Medicine, 2015, v. 34, n. 1, p. 145, doi. 10.1002/sim.6324
- By:
- Publication type:
- Article
14
Integrative modeling of multi-platform genomic data under the framework of mediation analysis.
- Published in:
- Statistics in Medicine, 2015, v. 34, n. 1, p. 162, doi. 10.1002/sim.6326
- By:
- Publication type:
- Article
15
Authors' Reply.
- Published in:
- Statistics in Medicine, 2015, v. 34, n. 1, p. 179, doi. 10.1002/sim.6328
- By:
- Publication type:
- Article
16
A principal stratification approach for evaluating natural direct and indirect effects in the presence of treatment-induced intermediate confounding.
- Published in:
- Statistics in Medicine, 2015, v. 34, n. 1, p. 131, doi. 10.1002/sim.6329
- By:
- Publication type:
- Article