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Volume 77, Issue 4, December 2021
Issue Information
Issue Information
Biometrics, Volume 77, Issue 4, December 2021, Pages 1139–1142, https://doi.org/10.1111/biom.13306
Biometric Methodology
Discussion Paper
Causal Mediation of Semicompeting Risks
Yen-Tsung Huang
Biometrics, Volume 77, Issue 4, December 2021, Pages 1143–1154, https://doi.org/10.1111/biom.13525
Discussion
Discussion on “Causal Mediation of Semicompeting Risks” by Yen-Tsung Huang
Kwun Chuen Gary Chan and others
Biometrics, Volume 77, Issue 4, December 2021, Pages 1155–1159, https://doi.org/10.1111/biom.13520
Discussion on “Causal Mediation of Semicompeting Risks” by Yen-Tsung Huang
Mats J. Stensrud and others
Biometrics, Volume 77, Issue 4, December 2021, Pages 1160–1164, https://doi.org/10.1111/biom.13523
Discussion on “Causal Mediation of Semicompeting Risks” by Yen-Tsung Huang
Isabel R. Fulcher and others
Biometrics, Volume 77, Issue 4, December 2021, Pages 1165–1169, https://doi.org/10.1111/biom.13519
Rejoinder
Rejoinder to “Causal Mediation of Semicompeting Risks”
Yen-Tsung Huang
Biometrics, Volume 77, Issue 4, December 2021, Pages 1170–1174, https://doi.org/10.1111/biom.13518
Semiparametric Partial Common Principal Component Analysis for Covariance Matrices
Bingkai Wang and others
Biometrics, Volume 77, Issue 4, December 2021, Pages 1175–1186, https://doi.org/10.1111/biom.13369
Semiparametric Models and Inference for the Effect of a Treatment When the Outcome is Nonnegative with Clumping at Zero
Jing Cheng and Dylan S. Small
Biometrics, Volume 77, Issue 4, December 2021, Pages 1187–1201, https://doi.org/10.1111/biom.13368
A Marginal Moment Matching Approach for Fitting Endemic-Epidemic Models to Underreported Disease Surveillance Counts
Johannes Bracher and Leonhard Held
Biometrics, Volume 77, Issue 4, December 2021, Pages 1202–1214, https://doi.org/10.1111/biom.13371
Nonparametric Cluster Significance Testing with Reference to a Unimodal Null Distribution
Erika S. Helgeson and others
Biometrics, Volume 77, Issue 4, December 2021, Pages 1215–1226, https://doi.org/10.1111/biom.13376
Nonparametric Matrix Response Regression with Application to Brain Imaging Data Analysis
Wei Hu and others
Biometrics, Volume 77, Issue 4, December 2021, Pages 1227–1240, https://doi.org/10.1111/biom.13362
Efficient Nonparametric Inference on the Effects of Stochastic Interventions under Two-Phase Sampling, with Applications to Vaccine Efficacy Trials
Nima S. Hejazi and others
Biometrics, Volume 77, Issue 4, December 2021, Pages 1241–1253, https://doi.org/10.1111/biom.13375
Net Benefit Index: Assessing the Influence of a Biomarker for Individualized Treatment Rules
Yiwang Zhou and others
Biometrics, Volume 77, Issue 4, December 2021, Pages 1254–1264, https://doi.org/10.1111/biom.13373
A Class of Proportional Win-Fractions Regression Models for Composite Outcomes
Lu Mao and Tuo Wang
Biometrics, Volume 77, Issue 4, December 2021, Pages 1265–1275, https://doi.org/10.1111/biom.13382
Evaluating and Improving a Matched Comparison of Antidepressants and Bone Density
Ruoqi Yu
Biometrics, Volume 77, Issue 4, December 2021, Pages 1276–1288, https://doi.org/10.1111/biom.13374
Modeling Excess Hazard with Time-to-Cure as a Parameter
Olayidé Boussari and others
Biometrics, Volume 77, Issue 4, December 2021, Pages 1289–1302, https://doi.org/10.1111/biom.13361
A Pairwise Pseudo-Likelihood Approach for Left-Truncated and Interval-Censored Data under the COX Model
Peijie Wang and others
Biometrics, Volume 77, Issue 4, December 2021, Pages 1303–1314, https://doi.org/10.1111/biom.13394
Evaluating Multiple Surrogate Markers with Censored Data
Layla Parast and others
Biometrics, Volume 77, Issue 4, December 2021, Pages 1315–1327, https://doi.org/10.1111/biom.13370
Modeling Sparse Longitudinal Data on Riemannian Manifolds
Xiongtao Dai and others
Biometrics, Volume 77, Issue 4, December 2021, Pages 1328–1341, https://doi.org/10.1111/biom.13385
A Stacked Approach for Chained Equations Multiple Imputation Incorporating the Substantive Model
Lauren J. Beesley and Jeremy M. G. Taylor
Biometrics, Volume 77, Issue 4, December 2021, Pages 1342–1354, https://doi.org/10.1111/biom.13372
Penalized Fieller's Confidence Interval for the Ratio of Bivariate Normal Means
Peng Wang and others
Biometrics, Volume 77, Issue 4, December 2021, Pages 1355–1368, https://doi.org/10.1111/biom.13363
Poisson PCA: Poisson Measurement Error Corrected PCA, with Application to Microbiome Data
Toby Kenney and others
Biometrics, Volume 77, Issue 4, December 2021, Pages 1369–1384, https://doi.org/10.1111/biom.13384
A Random Covariance Model for Bi-Level Graphical Modeling with Application to Resting-State fMRI Data
Lin Zhang and others
Biometrics, Volume 77, Issue 4, December 2021, Pages 1385–1396, https://doi.org/10.1111/biom.13364
Histopathological Imaging-Based Cancer Heterogeneity Analysis Via Penalized Fusion with Model Averaging
Baihua He and others
Biometrics, Volume 77, Issue 4, December 2021, Pages 1397–1408, https://doi.org/10.1111/biom.13357
Brain Connectivity Alteration Detection Via Matrix-Variate Differential Network Model
Jiadong Ji and others
Biometrics, Volume 77, Issue 4, December 2021, Pages 1409–1421, https://doi.org/10.1111/biom.13359
Receiver Operating Characteristic Curves and Confidence Bands for Support Vector Machines
Daniel J. Luckett and others
Biometrics, Volume 77, Issue 4, December 2021, Pages 1422–1430, https://doi.org/10.1111/biom.13365
A Bayesian Approach to Restricted Latent Class Models for Scientifically Structured Clustering of Multivariate Binary Outcomes
Zhenke Wu and others
Biometrics, Volume 77, Issue 4, December 2021, Pages 1431–1444, https://doi.org/10.1111/biom.13388
Using the “Hidden” Genome to Improve Classification of Cancer Types
Saptarshi Chakraborty and others
Biometrics, Volume 77, Issue 4, December 2021, Pages 1445–1455, https://doi.org/10.1111/biom.13367
Child Mortality Estimation Incorporating Summary Birth History Data
Katie Wilson and Jon Wakefield
Biometrics, Volume 77, Issue 4, December 2021, Pages 1456–1466, https://doi.org/10.1111/biom.13383
Biometric Practice
Discussion Paper
Improving Precision and Power in Randomized Trials for COVID-19 Treatments Using Covariate Adjustment, for Binary, Ordinal, and Time-to-Event Outcomes
David Benkeser and others
Biometrics, Volume 77, Issue 4, December 2021, Pages 1467–1481, https://doi.org/10.1111/biom.13377
Discussion
Discussion on “Improving Precision and Power in Randomized Trials for COVID-19 Treatments Using Covariate Adjustment for Binary, Ordinal, and Time-to-Event Outcomes”
Michael A. Proschan
Biometrics, Volume 77, Issue 4, December 2021, Pages 1482–1484, https://doi.org/10.1111/biom.13493
Discussion of “Improving Precision and Power in Randomized Trials for COVID-19 Treatments Using Covariate Adjustment, for Binary, Ordinal, and Time-to-Event Outcomes”
Min Zhang and Baqun Zhang
Biometrics, Volume 77, Issue 4, December 2021, Pages 1485–1488, https://doi.org/10.1111/biom.13492
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
Lisa M. LaVange
Biometrics, Volume 77, Issue 4, December 2021, Pages 1489–1491, https://doi.org/10.1111/biom.13494
Rejoinder
Rejoinder: Improving Precision and Power in Randomized Trials for COVID-19 Treatments Using Covariate Adjustment, for Binary, Ordinal, and Time-to-Event Outcomes
David Benkeser and others
Biometrics, Volume 77, Issue 4, December 2021, Pages 1492–1494, https://doi.org/10.1111/biom.13495
Book Reviews
Replication and Evidence Factors in Observational Studies by Paul R. Rosenbaum Boca Raton, FL: Chapman and Hall/CRC, 2021. pp. 276.
Rajarshi Mukherjee
Biometrics, Volume 77, Issue 4, December 2021, Pages 1495–1498, https://doi.org/10.1111/biom.13535
Matrix-Based Introduction to Multivariate Data Analysis, by Kohei Adachi 2nd edition. Singapore: Springer Nature, 2020. pp. 457.
Lin Liu
Biometrics, Volume 77, Issue 4, December 2021, Pages 1498–1500, https://doi.org/10.1111/biom.13566
Biometry for Forestry and Environmental Data with Examples in R. Lauri Mehtätalo and Juha Lappi. Boca Raton, FL: Chapman and Hall/CRC, 2020. pp. 426
Bianca N.I. Eskelson
Biometrics, Volume 77, Issue 4, December 2021, Pages 1500–1502, https://doi.org/10.1111/biom.13597
Data Analysis with RStudio: An Easygoing Introduction by Franz Kronthaler and Silke Zöllner Berlin, Germany: Springer-Verlag GmbH, DE, 2021. pp. 131.
Mei-Hsien Lee
Biometrics, Volume 77, Issue 4, December 2021, Pages 1502–1503, https://doi.org/10.1111/biom.13567
Data Science and Machine Learning: Mathematical and Statistical Methods by Dirk P. Kroese, Zdravko Botev, Thomas Taimre, Radislav Vaisman Boca Raton, FL: Chapman and Hall/CRC, 2019. pp. 523.
Yin-Ju Lai and Chuhsing Kate Hsiao
Biometrics, Volume 77, Issue 4, December 2021, Pages 1503–1504, https://doi.org/10.1111/biom.13598
Acknowledgements
Acknowledgments Referees 2021
Biometrics, Volume 77, Issue 4, December 2021, Pages 1505–1508, https://doi.org/10.1111/biom.13613
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