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