Acknowledgments Referees 2021.
- Published in:
- Biometrics, 2021, v. 77, n. 4, p. 1505, doi. 10.1111/biom.13613
- Publication type:
- Article
Works matching IS 0006341X AND DT 2021 AND VI 77 AND IP 4
Results: 40
1
2
Data analysis with RStudio: An easygoing introduction.
- Published in:
- 2021
- Publication type:
- Book Review
3
Modeling sparse longitudinal data on Riemannian manifolds.
- Published in:
- Biometrics, 2021, v. 77, n. 4, p. 1328, doi. 10.1111/biom.13385
- By:
- Publication type:
- Article
4
Data science and machine learning: Mathematical and statistical methods.
- Published in:
- 2021
- By:
- Publication type:
- Book Review
5
Biometry for forestry and environmental data with examples in R.
- Published in:
- 2021
- Publication type:
- Book Review
6
Replication and evidence factors in observational studies.
- Published in:
- 2021
- Publication type:
- Book Review
7
Evaluating and improving a matched comparison of antidepressants and bone density.
- Published in:
- Biometrics, 2021, v. 77, n. 4, p. 1276, doi. 10.1111/biom.13374
- Publication type:
- Article
8
Rejoinder to "Causal mediation of semicompeting risks".
- Published in:
- Biometrics, 2021, v. 77, n. 4, p. 1170, doi. 10.1111/biom.13518
- Publication type:
- Article
9
A Bayesian approach to restricted latent class models for scientifically structured clustering of multivariate binary outcomes.
- Published in:
- Biometrics, 2021, v. 77, n. 4, p. 1431, doi. 10.1111/biom.13388
- By:
- Publication type:
- Article
10
Matrix‐based introduction to multivariate data analysis.
- Published in:
- 2021
- Publication type:
- Book Review
11
Poisson PCA: Poisson measurement error corrected PCA, with application to microbiome data.
- Published in:
- Biometrics, 2021, v. 77, n. 4, p. 1369, doi. 10.1111/biom.13384
- By:
- Publication type:
- Article
12
Causal mediation of semicompeting risks.
- Published in:
- Biometrics, 2021, v. 77, n. 4, p. 1143, doi. 10.1111/biom.13525
- Publication type:
- Article
13
Discussion on "Causal mediation of semicompeting risks" by Yen‐Tsung Huang.
- Published in:
- Biometrics, 2021, v. 77, n. 4, p. 1160, doi. 10.1111/biom.13523
- By:
- Publication type:
- Article
14
Discussion on "Causal mediation of semicompeting risks" by Yen‐Tsung Huang.
- Published in:
- Biometrics, 2021, v. 77, n. 4, p. 1155, doi. 10.1111/biom.13520
- By:
- Publication type:
- Article
15
Discussion on "Causal mediation of semicompeting risks" by Yen‐Tsung Huang.
- Published in:
- Biometrics, 2021, v. 77, n. 4, p. 1165, doi. 10.1111/biom.13519
- By:
- Publication type:
- Article
16
Rejoinder: Improving precision and power in randomized trials for COVID‐19 treatments using covariate adjustment, for binary, ordinal, and time‐to‐event outcomes.
- Published in:
- Biometrics, 2021, v. 77, n. 4, p. 1492, doi. 10.1111/biom.13495
- By:
- Publication type:
- Article
17
Discussion on "Improving precision and power in randomized trials for COVID‐19 treatments using covariate adjustment, for binary, ordinal, and time‐to‐event outcomes" by David Benkeser, Ivan Diaz, Alex Luedtke, Jodi Segal, Daniel Scharfstein, and Michael Rosenblum
- Published in:
- Biometrics, 2021, v. 77, n. 4, p. 1489, doi. 10.1111/biom.13494
- Publication type:
- Article
18
Discussion on "Improving precision and power in randomized trials for COVID‐19 treatments using covariate adjustment for binary, ordinal, and time‐to‐event outcomes".
- Published in:
- Biometrics, 2021, v. 77, n. 4, p. 1482, doi. 10.1111/biom.13493
- Publication type:
- Article
19
Discussion of "Improving precision and power in randomized trials for COVID‐19 treatments using covariate adjustment, for binary, ordinal, and time‐to‐event outcomes".
- Published in:
- Biometrics, 2021, v. 77, n. 4, p. 1485, doi. 10.1111/biom.13492
- By:
- Publication type:
- Article
20
A pairwise pseudo‐likelihood approach for left‐truncated and interval‐censored data under the Cox model.
- Published in:
- Biometrics, 2021, v. 77, n. 4, p. 1303, doi. 10.1111/biom.13394
- By:
- Publication type:
- Article
21
A class of proportional win‐fractions regression models for composite outcomes.
- Published in:
- Biometrics, 2021, v. 77, n. 4, p. 1265, doi. 10.1111/biom.13382
- By:
- Publication type:
- Article
22
Improving precision and power in randomized trials for COVID‐19 treatments using covariate adjustment, for binary, ordinal, and time‐to‐event outcomes.
- Published in:
- Biometrics, 2021, v. 77, n. 4, p. 1467, doi. 10.1111/biom.13377
- By:
- Publication type:
- Article
23
Nonparametric cluster significance testing with reference to a unimodal null distribution.
- Published in:
- Biometrics, 2021, v. 77, n. 4, p. 1215, doi. 10.1111/biom.13376
- By:
- Publication type:
- Article
24
Efficient nonparametric inference on the effects of stochastic interventions under two‐phase sampling, with applications to vaccine efficacy trials.
- Published in:
- Biometrics, 2021, v. 77, n. 4, p. 1241, doi. 10.1111/biom.13375
- By:
- Publication type:
- Article
25
Child mortality estimation incorporating summary birth history data.
- Published in:
- Biometrics, 2021, v. 77, n. 4, p. 1456, doi. 10.1111/biom.13383
- By:
- Publication type:
- Article
26
A random covariance model for bi‐level graphical modeling with application to resting‐state fMRI data.
- Published in:
- Biometrics, 2021, v. 77, n. 4, p. 1385, doi. 10.1111/biom.13364
- By:
- Publication type:
- Article
27
Penalized Fieller's confidence interval for the ratio of bivariate normal means.
- Published in:
- Biometrics, 2021, v. 77, n. 4, p. 1355, doi. 10.1111/biom.13363
- By:
- Publication type:
- Article
28
Net benefit index: Assessing the influence of a biomarker for individualized treatment rules.
- Published in:
- Biometrics, 2021, v. 77, n. 4, p. 1254, doi. 10.1111/biom.13373
- By:
- Publication type:
- Article
29
A stacked approach for chained equations multiple imputation incorporating the substantive model.
- Published in:
- Biometrics, 2021, v. 77, n. 4, p. 1342, doi. 10.1111/biom.13372
- By:
- Publication type:
- Article
30
A marginal moment matching approach for fitting endemic‐epidemic models to underreported disease surveillance counts.
- Published in:
- Biometrics, 2021, v. 77, n. 4, p. 1202, doi. 10.1111/biom.13371
- By:
- Publication type:
- Article
31
Evaluating multiple surrogate markers with censored data.
- Published in:
- Biometrics, 2021, v. 77, n. 4, p. 1315, doi. 10.1111/biom.13370
- By:
- Publication type:
- Article
32
Semiparametric partial common principal component analysis for covariance matrices.
- Published in:
- Biometrics, 2021, v. 77, n. 4, p. 1175, doi. 10.1111/biom.13369
- By:
- Publication type:
- Article
33
Semiparametric models and inference for the effect of a treatment when the outcome is nonnegative with clumping at zero.
- Published in:
- Biometrics, 2021, v. 77, n. 4, p. 1187, doi. 10.1111/biom.13368
- By:
- Publication type:
- Article
34
Using the "Hidden" genome to improve classification of cancer types.
- Published in:
- Biometrics, 2021, v. 77, n. 4, p. 1445, doi. 10.1111/biom.13367
- By:
- Publication type:
- Article
35
Receiver operating characteristic curves and confidence bands for support vector machines.
- Published in:
- Biometrics, 2021, v. 77, n. 4, p. 1422, doi. 10.1111/biom.13365
- By:
- Publication type:
- Article
36
Modeling excess hazard with time‐to‐cure as a parameter.
- Published in:
- Biometrics, 2021, v. 77, n. 4, p. 1289, doi. 10.1111/biom.13361
- By:
- Publication type:
- Article
37
Nonparametric matrix response regression with application to brain imaging data analysis.
- Published in:
- Biometrics, 2021, v. 77, n. 4, p. 1227, doi. 10.1111/biom.13362
- By:
- Publication type:
- Article
38
Brain connectivity alteration detection via matrix‐variate differential network model.
- Published in:
- Biometrics, 2021, v. 77, n. 4, p. 1409, doi. 10.1111/biom.13359
- By:
- Publication type:
- Article
39
Histopathological imaging‐based cancer heterogeneity analysis via penalized fusion with model averaging.
- Published in:
- Biometrics, 2021, v. 77, n. 4, p. 1397, doi. 10.1111/biom.13357
- By:
- Publication type:
- Article
40
Issue Information.
- Published in:
- Biometrics, 2021, v. 77, n. 4, p. 1139, doi. 10.1111/biom.13306
- Publication type:
- Article