Acknowledgments Referees 2022.
- Published in:
- Biometrics, 2022, v. 78, n. 4, p. 1721, doi. 10.1111/biom.13806
- Publication type:
- Article
Works matching IS 0006341X AND DT 2022 AND VI 78 AND IP 4
Results: 43
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Assessing COVID‐19 and other pandemics and epidemics using computational modelling and data analysis.
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- Biometrics, 2022, v. 78, n. 4, p. 1715, doi. 10.1111/biom.13802
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3
Statistical issues in drug development, third edition.
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- Biometrics, 2022, v. 78, n. 4, p. 1716, doi. 10.1111/biom.13751
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4
Fundamentals of Causal Inference With R.
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- Biometrics, 2022, v. 78, n. 4, p. 1714, doi. 10.1111/biom.13733
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5
Spatial+: A novel approach to spatial confounding.
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- Biometrics, 2022, v. 78, n. 4, p. 1279, doi. 10.1111/biom.13656
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6
Discussion on "Spatial+: a novel approach to spatial confounding" by Emiko Dupont, Simon N. Wood, and Nicole H. Augustin.
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- Biometrics, 2022, v. 78, n. 4, p. 1305, doi. 10.1111/biom.13655
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7
Discussion on "Spatial+: a novel approach to spatial confounding" by Emiko Dupont, Simon N. Wood, and Nicole H. Augustin.
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- Biometrics, 2022, v. 78, n. 4, p. 1300, doi. 10.1111/biom.13654
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8
Rejoinder to the discussions of "Spatial+: A novel approach to spatial confounding".
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- Biometrics, 2022, v. 78, n. 4, p. 1309, doi. 10.1111/biom.13653
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9
Discussion on "Spatial+: A novel approach to spatial confounding" by Dupont, Wood, and Augustin.
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- Biometrics, 2022, v. 78, n. 4, p. 1291, doi. 10.1111/biom.13651
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Discussion on "Spatial+: A novel approach to spatial confounding" by Emiko Dupont, Simon N. Wood, and Nicole H. Augustin.
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- Biometrics, 2022, v. 78, n. 4, p. 1295, doi. 10.1111/biom.13650
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11
Simultaneous feature selection and outlier detection with optimality guarantees.
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- Biometrics, 2022, v. 78, n. 4, p. 1592, doi. 10.1111/biom.13553
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12
Bivariate small‐area estimation for binary and gaussian variables based on a conditionally specified model.
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- Biometrics, 2022, v. 78, n. 4, p. 1555, doi. 10.1111/biom.13552
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13
Bayesian adaptive trial design for a continuous biomarker with possibly nonlinear or nonmonotone prognostic or predictive effects.
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- Biometrics, 2022, v. 78, n. 4, p. 1441, doi. 10.1111/biom.13550
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14
Simultaneous variable selection in regression analysis of multivariate interval‐censored data.
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- Biometrics, 2022, v. 78, n. 4, p. 1402, doi. 10.1111/biom.13548
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15
Binacox: automatic cut‐point detection in high‐dimensional Cox model with applications in genetics.
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- Biometrics, 2022, v. 78, n. 4, p. 1414, doi. 10.1111/biom.13547
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16
Sufficient dimension reduction for populations with structured heterogeneity.
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- Biometrics, 2022, v. 78, n. 4, p. 1626, doi. 10.1111/biom.13546
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17
Nonparametric estimation of the survival distribution under covariate‐induced dependent truncation.
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- Biometrics, 2022, v. 78, n. 4, p. 1390, doi. 10.1111/biom.13545
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18
Hierarchical cancer heterogeneity analysis based on histopathological imaging features.
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- Biometrics, 2022, v. 78, n. 4, p. 1579, doi. 10.1111/biom.13544
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19
Re‐calibrating pure risk integrating individual data from two‐phase studies with external summary statistics.
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- Biometrics, 2022, v. 78, n. 4, p. 1515, doi. 10.1111/biom.13543
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20
A linear noise approximation for stochastic epidemic models fit to partially observed incidence counts.
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- Biometrics, 2022, v. 78, n. 4, p. 1530, doi. 10.1111/biom.13538
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21
Extracting brain disease‐related connectome subgraphs by adaptive dense subgraph discovery.
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- Biometrics, 2022, v. 78, n. 4, p. 1566, doi. 10.1111/biom.13537
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22
Joint association and classification analysis of multi‐view data.
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- Biometrics, 2022, v. 78, n. 4, p. 1614, doi. 10.1111/biom.13536
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23
Analysis of local sensitivity to nonignorability with missing outcomes and predictors.
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- Biometrics, 2022, v. 78, n. 4, p. 1342, doi. 10.1111/biom.13532
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24
Reducing subspace models for large‐scale covariance regression.
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- Biometrics, 2022, v. 78, n. 4, p. 1604, doi. 10.1111/biom.13531
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25
On estimating optimal regime for treatment initiation time based on restricted mean residual lifetime.
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- Biometrics, 2022, v. 78, n. 4, p. 1377, doi. 10.1111/biom.13530
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26
Flexible use of copula‐type model for dose‐finding in drug combination clinical trials.
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- Biometrics, 2022, v. 78, n. 4, p. 1651, doi. 10.1111/biom.13510
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27
A semiparametric isotonic regression model for skewed distributions with application to DNA–RNA–protein analysis.
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- Biometrics, 2022, v. 78, n. 4, p. 1464, doi. 10.1111/biom.13528
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28
Multivariate Bayesian clustering using covariate‐informed components with application to boreal vegetation sensitivity.
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- Biometrics, 2022, v. 78, n. 4, p. 1427, doi. 10.1111/biom.13507
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29
Sample size estimation for cancer randomized trials in the presence of heterogeneous populations.
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- Biometrics, 2022, v. 78, n. 4, p. 1662, doi. 10.1111/biom.13527
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30
Integration of survival data from multiple studies.
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- Biometrics, 2022, v. 78, n. 4, p. 1365, doi. 10.1111/biom.13517
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31
Weak‐instrument robust tests in two‐sample summary‐data Mendelian randomization.
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- Biometrics, 2022, v. 78, n. 4, p. 1699, doi. 10.1111/biom.13524
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32
Multidimensional molecular measurements–environment interaction analysis for disease outcomes.
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- Biometrics, 2022, v. 78, n. 4, p. 1542, doi. 10.1111/biom.13526
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33
Joint modeling of zero‐inflated longitudinal proportions and time‐to‐event data with application to a gut microbiome study.
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- Biometrics, 2022, v. 78, n. 4, p. 1686, doi. 10.1111/biom.13515
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34
Efficient odds ratio estimation under two‐phase sampling using error‐prone data from a multi‐national HIV research cohort.
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- Biometrics, 2022, v. 78, n. 4, p. 1674, doi. 10.1111/biom.13512
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35
Varying‐coefficient regression analysis for pooled biomonitoring.
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- Biometrics, 2022, v. 78, n. 4, p. 1328, doi. 10.1111/biom.13516
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36
Another look at regression analysis using ranked set samples with application to an osteoporosis study.
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- Biometrics, 2022, v. 78, n. 4, p. 1489, doi. 10.1111/biom.13513
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37
WiSER: Robust and scalable estimation and inference of within‐subject variances from intensive longitudinal data.
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- Biometrics, 2022, v. 78, n. 4, p. 1313, doi. 10.1111/biom.13506
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38
Pool adjacent violators algorithm–assisted learning with application on estimating optimal individualized treatment regimes.
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- Biometrics, 2022, v. 78, n. 4, p. 1475, doi. 10.1111/biom.13511
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39
Bridging preference‐based instrumental variable studies and cluster‐randomized encouragement experiments: Study design, noncompliance, and average cluster effect ratio.
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- Biometrics, 2022, v. 78, n. 4, p. 1639, doi. 10.1111/biom.13500
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40
Group sequential testing for cluster randomized trials with time‐to‐event endpoint.
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- Biometrics, 2022, v. 78, n. 4, p. 1353, doi. 10.1111/biom.13498
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41
Issue Information.
- Published in:
- Biometrics, 2022, v. 78, n. 4, p. 1275, doi. 10.1111/biom.13491
- Publication type:
- Article
42
Design‐based properties of the nearest neighbor spatial interpolator and its bootstrap mean squared error estimator.
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- Biometrics, 2022, v. 78, n. 4, p. 1454, doi. 10.1111/biom.13505
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43
Estimating mean potential outcome under adaptive treatment length strategies in continuous time.
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- Biometrics, 2022, v. 78, n. 4, p. 1503, doi. 10.1111/biom.13504
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