Issue navigation
Volume 75, Issue 2, June 2019
Issue Information
Issue Information - Cover
Biometrics, Volume 75, Issue 2, June 2019, Page i, https://doi.org/10.1111/biom.13143
Issue Information - TOC & Cover Information
Biometrics, Volume 75, Issue 2, June 2019, Pages 363–364, https://doi.org/10.1111/biom.12931
Issue Information - Masthead
Biometrics, Volume 75, Issue 2, June 2019, Page 365, https://doi.org/10.1111/biom.12932
Issue Information - Ed Board
Biometrics, Volume 75, Issue 2, June 2019, Page 366, https://doi.org/10.1111/biom.12933
Brief Report by the Editors
Report of the Editors—2018
Biometrics, Volume 75, Issue 2, June 2019, Pages 367–370, https://doi.org/10.1111/biom.13033
Biometric Methodology
Discussion Papers
A Hybrid Phase I-II/III Clinical Trial Design Allowing Dose Re-Optimization in Phase III
Biometrics, Volume 75, Issue 2, June 2019, Pages 371–381, https://doi.org/10.1111/biom.12994
Discussion of “A Hybrid Phase I-II/III Clinical Trial Design Allowing Dose Re-Optimization in Phase III” by Andrew G. Chapple and Peter F. Thall
Biometrics, Volume 75, Issue 2, June 2019, Pages 382–384, https://doi.org/10.1111/biom.12993
Discussion of “A Hybrid Phase I-II/III Clinical Trial Design Allowing Dose Re-Optimization in Phase III” by Andrew G. Chapple and Peter F. Thall
Biometrics, Volume 75, Issue 2, June 2019, Pages 385–388, https://doi.org/10.1111/biom.12992
Rejoinder to “A Hybrid Phase I-II/III Clinical Trial Design Allowing Dose Reoptimization in Phase III”
Biometrics, Volume 75, Issue 2, June 2019, Pages 389–391, https://doi.org/10.1111/biom.12991
Model Confidence Bounds for Variable Selection
Biometrics, Volume 75, Issue 2, June 2019, Pages 392–403, https://doi.org/10.1111/biom.13024
Discussion on “Model Confidence Bounds for Variable Selection” by Yang Li, Yuetian Luo, Davide Ferrari, Xiaonan Hu, and Yichen Qin
Biometrics, Volume 75, Issue 2, June 2019, Pages 404–406, https://doi.org/10.1111/biom.13022
Discussion on “Model Confidence Bounds for Variable Selection” by Yang Li, Yuetian Luo, Davide Ferrari, Xiaonan Hu, and Yichen Qin
Biometrics, Volume 75, Issue 2, June 2019, Pages 407–410, https://doi.org/10.1111/biom.13021
Rejoinder to Discussions on: Model Confidence Bounds for Variable Selection
Biometrics, Volume 75, Issue 2, June 2019, Pages 411–413, https://doi.org/10.1111/biom.13020
A Modified Partial Likelihood Score Method for Cox Regression with Covariate Error Under the Internal Validation Design
Biometrics, Volume 75, Issue 2, June 2019, Pages 414–427, https://doi.org/10.1111/biom.13012
Estimations of the Joint Distribution of Failure Time and Failure Type With Dependent Truncation
Biometrics, Volume 75, Issue 2, June 2019, Pages 428–438, https://doi.org/10.1111/biom.13017
Dependence Modeling for Recurrent Event Times Subject to Right-Censoring With D-Vine Copulas
Biometrics, Volume 75, Issue 2, June 2019, Pages 439–451, https://doi.org/10.1111/biom.13014
The Single-Index/Cox Mixture Cure Model
Biometrics, Volume 75, Issue 2, June 2019, Pages 452–462, https://doi.org/10.1111/biom.12999
Distribution-Free Estimation of Local Growth Rates Around Interval Censored Anchoring Events
Biometrics, Volume 75, Issue 2, June 2019, Pages 463–474, https://doi.org/10.1111/biom.13015
Exact Inference for Integrated Population Modelling
Biometrics, Volume 75, Issue 2, June 2019, Pages 475–484, https://doi.org/10.1111/biom.13045
Exact Inference on the Random-Effects Model for Meta-Analyses With Few Studies
Biometrics, Volume 75, Issue 2, June 2019, Pages 485–493, https://doi.org/10.1111/biom.12998
Nonparametric Group Sequential Methods for Evaluating Survival Benefit from Multiple Short-Term Follow-up Windows
Biometrics, Volume 75, Issue 2, June 2019, Pages 494–505, https://doi.org/10.1111/biom.13007
Causal Inference Accounting for Unobserved Confounding After Outcome Regression and Doubly Robust Estimation
Biometrics, Volume 75, Issue 2, June 2019, Pages 506–515, https://doi.org/10.1111/biom.13001
Instrumental Variable Based Estimation Under the Semiparametric Accelerated Failure Time Model
Biometrics, Volume 75, Issue 2, June 2019, Pages 516–527, https://doi.org/10.1111/biom.12985
Semiparametric Bayesian Latent Variable Regression for Skewed Multivariate Data
Biometrics, Volume 75, Issue 2, June 2019, Pages 528–538, https://doi.org/10.1111/biom.12989
A Bayesian Semiparametric Approach to Correlated ROC Surfaces With Stochastic Order Constraints
Biometrics, Volume 75, Issue 2, June 2019, Pages 539–550, https://doi.org/10.1111/biom.12997
Drawing Inferences for High-Dimensional Linear Models: A Selection-Assisted Partial Regression and Smoothing Approach
Biometrics, Volume 75, Issue 2, June 2019, Pages 551–561, https://doi.org/10.1111/biom.13013
A Smoothing-Based Goodness-of-Fit Test of Covariance for Functional Data
Biometrics, Volume 75, Issue 2, June 2019, Pages 562–571, https://doi.org/10.1111/biom.13005
Optimal Design of Multiple-Objective Lot Quality Assurance Sampling (LQAS) Plans
Biometrics, Volume 75, Issue 2, June 2019, Pages 572–581, https://doi.org/10.1111/biom.13008
Linked Matrix Factorization
Biometrics, Volume 75, Issue 2, June 2019, Pages 582–592, https://doi.org/10.1111/biom.13010
Integrative Multi-View Regression: Bridging Group-Sparse and Low-Rank Models
Biometrics, Volume 75, Issue 2, June 2019, Pages 593–602, https://doi.org/10.1111/biom.13006
Convex Clustering Analysis for Histogram-Valued Data
Biometrics, Volume 75, Issue 2, June 2019, Pages 603–612, https://doi.org/10.1111/biom.13004
Log-Ratio Lasso: Scalable, Sparse Estimation for Log-Ratio Models
Biometrics, Volume 75, Issue 2, June 2019, Pages 613–624, https://doi.org/10.1111/biom.12995
Composite Kernel Machine Regression Based on Likelihood Ratio Test for Joint Testing of Genetic and Gene–Environment Interaction Effect
Biometrics, Volume 75, Issue 2, June 2019, Pages 625–637, https://doi.org/10.1111/biom.13003
A Non-Randomized Procedure for Large-Scale Heterogeneous Multiple Discrete Testing Based on Randomized Tests
Biometrics, Volume 75, Issue 2, June 2019, Pages 638–649, https://doi.org/10.1111/biom.12996
A Robust Removing Unwanted Variation–Testing Procedure via 
-Divergence
Biometrics, Volume 75, Issue 2, June 2019, Pages 650–662, https://doi.org/10.1111/biom.13002
Biometric Practice
A Bayesian Hidden Markov Model for Detecting Differentially Methylated Regions
Biometrics, Volume 75, Issue 2, June 2019, Pages 663–673, https://doi.org/10.1111/biom.13000
Bagging and Deep Learning in Optimal Individualized Treatment Rules
Biometrics, Volume 75, Issue 2, June 2019, Pages 674–684, https://doi.org/10.1111/biom.12990
Generalizing Causal Inferences from Individuals in Randomized Trials to All Trial-Eligible Individuals
Biometrics, Volume 75, Issue 2, June 2019, Pages 685–694, https://doi.org/10.1111/biom.13009
Causal Comparative Effectiveness Analysis of Dynamic Continuous-Time Treatment Initiation Rules With Sparsely Measured Outcomes and Death
Biometrics, Volume 75, Issue 2, June 2019, Pages 695–707, https://doi.org/10.1111/biom.13018
Book Reviews
Causal Inference in Statistics: A Primer Judea Pearl, Maria Glymour, and Nicholas Jewell, John Wiley & Sons, Ltd., Chichester, UK.
Biometrics, Volume 75, Issue 2, June 2019, Pages 708–709, https://doi.org/10.1111/biom.13079
Quantitative Methods for HIV/AIDS Research, Cliburn Chan, Michael G. Hudgens, Shein-Chung Chow, CRC Press
Biometrics, Volume 75, Issue 2, June 2019, Pages 710–711, https://doi.org/10.1111/biom.13080
Biostatistics for Clinical and Public Health Research, Melody S. Goodman (Ed.), New York: Routledge.
Biometrics, Volume 75, Issue 2, June 2019, Page 712, https://doi.org/10.1111/biom.13081
Errors, Blunders, and Lies: How to Tell the Difference. David S. Salsburg, Boca Raton: Chapman & Hall/ASA-CRC Series
Biometrics, Volume 75, Issue 2, June 2019, Pages 713–714, https://doi.org/10.1111/biom.13041
Hidden Markov Models for Time Series: An Introduction Using R. Walter Zucchini, Iain L. McDonald, and Roland Langrock, Boca Raton, CRC Press
Biometrics, Volume 75, Issue 2, June 2019, Pages 715–716, https://doi.org/10.1111/biom.12980
