Acknowledgments Referees 2023.
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- Biometrics, 2023, v. 79, n. 4, p. 4017, doi. 10.1111/biom.13929
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Works in Biometrics, 2023, Vol 79, Issue 4
Results: 102
1
2
Correction to "Robust approach to combining multiple markers to improve surrogacy".
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- Biometrics, 2023, v. 79, n. 4, p. 4012, doi. 10.1111/biom.13928
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- Article
3
SAM: Self‐adapting mixture prior to dynamically borrow information from historical data in clinical trials.
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- Biometrics, 2023, v. 79, n. 4, p. 2857, doi. 10.1111/biom.13927
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4
Multiresolution categorical regression for interpretable cell‐type annotation.
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- Biometrics, 2023, v. 79, n. 4, p. 3485, doi. 10.1111/biom.13926
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5
Regression‐based multiple treatment effect estimation under covariate‐adaptive randomization.
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- Biometrics, 2023, v. 79, n. 4, p. 2869, doi. 10.1111/biom.13925
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6
Latent factor model for multivariate functional data.
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- Biometrics, 2023, v. 79, n. 4, p. 3307, doi. 10.1111/biom.13924
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7
Study design for restricted mean time analysis of recurrent events and death.
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- Biometrics, 2023, v. 79, n. 4, p. 3701, doi. 10.1111/biom.13923
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8
Functional Bayesian networks for discovering causality from multivariate functional data.
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- Biometrics, 2023, v. 79, n. 4, p. 3279, doi. 10.1111/biom.13922
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9
A second evidence factor for a second control group.
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- Biometrics, 2023, v. 79, n. 4, p. 3968, doi. 10.1111/biom.13921
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10
How to analyze continuous and discrete repeated measures in small‐sample cross‐over trials?
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- Biometrics, 2023, v. 79, n. 4, p. 3998, doi. 10.1111/biom.13920
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11
Efficient algorithms for building representative matched pairs with enhanced generalizability.
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- Biometrics, 2023, v. 79, n. 4, p. 3981, doi. 10.1111/biom.13919
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12
Bayesian causal inference for observational studies with missingness in covariates and outcomes.
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- Biometrics, 2023, v. 79, n. 4, p. 3624, doi. 10.1111/biom.13918
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13
Bioinformatics methods: From omics to next generation sequencing.
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- Biometrics, 2023, v. 79, n. 4, p. 4014, doi. 10.1111/biom.13917
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14
A self‐censoring model for multivariate nonignorable nonmonotone missing data.
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- Biometrics, 2023, v. 79, n. 4, p. 3203, doi. 10.1111/biom.13916
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15
A proportional incidence rate model for aggregated data to study the vaccine effectiveness against COVID‐19 hospital and ICU admissions.
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- Biometrics, 2023, v. 79, n. 4, p. 3954, doi. 10.1111/biom.13915
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16
Optimizing treatment allocation in randomized clinical trials by leveraging baseline covariates.
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- Biometrics, 2023, v. 79, n. 4, p. 2815, doi. 10.1111/biom.13914
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17
Generating designs for comparative experiments with two blocking factors.
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- Biometrics, 2023, v. 79, n. 4, p. 3574, doi. 10.1111/biom.13913
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18
Nonlinear multilevel joint model for individual lesion kinetics and survival to characterize intra‐individual heterogeneity in patients with advanced cancer.
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- Biometrics, 2023, v. 79, n. 4, p. 3752, doi. 10.1111/biom.13912
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19
Constructing time‐invariant dynamic surveillance rules for optimal monitoring schedules.
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- Biometrics, 2023, v. 79, n. 4, p. 3895, doi. 10.1111/biom.13911
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20
Discussion of "Optimal test procedures for multiple hypotheses controlling the familywise expected loss" by Willi Maurer, Frank Bretz, and Xiaolei Xun.
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- Biometrics, 2023, v. 79, n. 4, p. 2802, doi. 10.1111/biom.13910
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21
Discussion on "Optimal test procedures for multiple hypotheses controlling the familywise expected loss" by Willi Maurer, Frank Bretz, and Xiaolei Xun.
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- Biometrics, 2023, v. 79, n. 4, p. 2806, doi. 10.1111/biom.13909
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22
Discussion of "Optimal test procedures for multiple hypotheses controlling the familywise expected loss" by Willi Maurer, Frank Bretz, and Xiaolei Xun.
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- Biometrics, 2023, v. 79, n. 4, p. 2798, doi. 10.1111/biom.13908
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23
Bayesian functional data analysis over dependent regions and its application for identification of differentially methylated regions.
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- Biometrics, 2023, v. 79, n. 4, p. 3294, doi. 10.1111/biom.13902
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24
Discussion on "Optimal test procedures for multiple hypotheses controlling the familywise expected loss" by Willi Maurer, Frank Bretz, and Xiaolei Xun.
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- Biometrics, 2023, v. 79, n. 4, p. 2794, doi. 10.1111/biom.13906
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25
Rejoinder to discussions on "Optimal test procedures for multiple hypotheses controlling the familywise expected loss".
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- Biometrics, 2023, v. 79, n. 4, p. 2811, doi. 10.1111/biom.13905
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26
Analyzing clustered continuous response variables with ordinal regression models.
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- Biometrics, 2023, v. 79, n. 4, p. 3764, doi. 10.1111/biom.13904
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27
Melding wildlife surveys to improve conservation inference.
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- Biometrics, 2023, v. 79, n. 4, p. 3941, doi. 10.1111/biom.13903
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28
Optimal test procedures for multiple hypotheses controlling the familywise expected loss.
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- Biometrics, 2023, v. 79, n. 4, p. 2781, doi. 10.1111/biom.13907
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29
Explaining transmission rate variations and forecasting epidemic spread in multiple regions with a semiparametric mixed effects SIR model.
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- Biometrics, 2023, v. 79, n. 4, p. 2987, doi. 10.1111/biom.13901
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30
Simultaneous selection and inference for varying coefficients with zero regions: a soft‐thresholding approach.
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- Biometrics, 2023, v. 79, n. 4, p. 3388, doi. 10.1111/biom.13900
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31
Transportability of causal inference under random dynamic treatment regimes for kidney–pancreas transplantation.
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- Biometrics, 2023, v. 79, n. 4, p. 3165, doi. 10.1111/biom.13899
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32
Analysis of length‐biased and partly interval‐censored survival data with mismeasured covariates.
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- Biometrics, 2023, v. 79, n. 4, p. 3929, doi. 10.1111/biom.13898
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33
Sample size and power determination for multiparameter evaluation in nonlinear regression models with potential stratification.
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- Biometrics, 2023, v. 79, n. 4, p. 3916, doi. 10.1111/biom.13897
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34
Bayesian model selection for generalized linear mixed models.
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- Biometrics, 2023, v. 79, n. 4, p. 3266, doi. 10.1111/biom.13896
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35
A semiparametric Cox–Aalen transformation model with censored data.
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- Biometrics, 2023, v. 79, n. 4, p. 3111, doi. 10.1111/biom.13895
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36
Dirichlet process mixture models for the analysis of repeated attempt designs.
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- Biometrics, 2023, v. 79, n. 4, p. 3907, doi. 10.1111/biom.13894
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37
Hierarchical nuclear norm penalization for multi‐view data integration.
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- Biometrics, 2023, v. 79, n. 4, p. 2933, doi. 10.1111/biom.13893
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38
On interquantile smoothness of censored quantile regression with induced smoothing.
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- Biometrics, 2023, v. 79, n. 4, p. 3549, doi. 10.1111/biom.13892
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39
Analysis of dynamic restricted mean survival time based on pseudo‐observations.
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- Biometrics, 2023, v. 79, n. 4, p. 3690, doi. 10.1111/biom.13891
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40
A double‐robust test for high‐dimensional gene coexpression networks conditioning on clinical information.
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- Biometrics, 2023, v. 79, n. 4, p. 3227, doi. 10.1111/biom.13890
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41
Ensuring valid inference for Cox hazard ratios after variable selection.
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- Biometrics, 2023, v. 79, n. 4, p. 3096, doi. 10.1111/biom.13889
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42
Conditional inference in cis‐Mendelian randomization using weak genetic factors.
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- Biometrics, 2023, v. 79, n. 4, p. 3458, doi. 10.1111/biom.13888
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43
Dynamic enrichment of Bayesian small‐sample, sequential, multiple assignment randomized trial design using natural history data: a case study from Duchenne muscular dystrophy.
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- Biometrics, 2023, v. 79, n. 4, p. 3612, doi. 10.1111/biom.13887
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44
Prior and posterior checking of implicit causal assumptions.
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- Biometrics, 2023, v. 79, n. 4, p. 3153, doi. 10.1111/biom.13886
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- Publication type:
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45
A stochastic block Ising model for multi‐layer networks with inter‐layer dependence.
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- Biometrics, 2023, v. 79, n. 4, p. 3564, doi. 10.1111/biom.13885
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- Publication type:
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46
Statistical inference and machine learning for big data.
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- Biometrics, 2023, v. 79, n. 4, p. 4013, doi. 10.1111/biom.13883
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- Publication type:
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47
Flexible joint modeling of mean and dispersion for the directional tuning of neuronal spike counts.
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- Biometrics, 2023, v. 79, n. 4, p. 3431, doi. 10.1111/biom.13882
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48
Instability of inverse probability weighting methods and a remedy for nonignorable missing data.
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- Biometrics, 2023, v. 79, n. 4, p. 3215, doi. 10.1111/biom.13881
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49
An accelerated failure time regression model for illness–death data: A frailty approach.
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- Biometrics, 2023, v. 79, n. 4, p. 3066, doi. 10.1111/biom.13880
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50
Group variable selection for the Cox model with interval‐censored failure time data.
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- Biometrics, 2023, v. 79, n. 4, p. 3082, doi. 10.1111/biom.13879
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