Principles of biostatistics (3rd ed).
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- Biometrics, 2023, v. 79, n. 2, p. 1589, doi. 10.1111/biom.13876
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Works matching IS 0006341X AND DT 2023 AND VI 79 AND IP 2
Results: 94
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Statistics in the public interest: In memory of Stephen E. Fienberg.
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- Biometrics, 2023, v. 79, n. 2, p. 1586, doi. 10.1111/biom.13869
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3
Writing grant proposals in epidemiology, preventive medicine, and biostatistics.
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- Biometrics, 2023, v. 79, n. 2, p. 1587, doi. 10.1111/biom.13868
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4
Discussion on "Instrumental variable estimation of the causal hazard ratio" by Linbo Wang, Eric Tchetgen Tchetgen, Torben Martinussen, and Stijn Vansteelandt.
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- Biometrics, 2023, v. 79, n. 2, p. 559, doi. 10.1111/biom.13794
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5
Rejoinder to discussions on "Instrumental variable estimation of the causal hazard ratio".
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- Biometrics, 2023, v. 79, n. 2, p. 564, doi. 10.1111/biom.13793
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6
Instrumental variable estimation of the causal hazard ratio.
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- Biometrics, 2023, v. 79, n. 2, p. 539, doi. 10.1111/biom.13792
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7
Discussion on "Instrumental variable estimation of the causal hazard ratio," by Linbo Wang, Eric Tchetgen Tchetgen, Torben Martinussen, Stijn Vansteelandt.
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- Biometrics, 2023, v. 79, n. 2, p. 551, doi. 10.1111/biom.13791
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8
Discussion on "Instrumental variable estimation of the causal hazard ratio," by Linbo Wang, Eric Tchetgen Tchetgen, Torben Martinussen, and Stijn Vansteelandt.
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- Biometrics, 2023, v. 79, n. 2, p. 554, doi. 10.1111/biom.13790
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9
Discussion on: Instrumented difference‐in‐differences, by Ting Ye, Ashkan Ertefaie, James Flory, Sean Hennessy and Dylan S. Small.
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- Biometrics, 2023, v. 79, n. 2, p. 597, doi. 10.1111/biom.13785
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10
Discussion on "Instrumented difference‐in‐differences" by Ting Ye, Ashkan Ertefaie, James Flory, Sean Hennessy & Dylan S. Small.
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- Biometrics, 2023, v. 79, n. 2, p. 592, doi. 10.1111/biom.13784
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11
Instrumented difference‐in‐differences.
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- Biometrics, 2023, v. 79, n. 2, p. 569, doi. 10.1111/biom.13783
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12
Discussion on "Instrumented difference‐in‐differences" by Ye, Ertefaie, Flory, Hennessy, Small.
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- Biometrics, 2023, v. 79, n. 2, p. 587, doi. 10.1111/biom.13781
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13
Rejoinder to "Instrumented difference‐in‐differences".
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- Biometrics, 2023, v. 79, n. 2, p. 601, doi. 10.1111/biom.13780
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- Article
14
Discussion on "Instrumented difference‐in‐differences" by Ting Ye, Ashkan Ertefaie, James Flory, Sean Hennessy, and Dylan S. Small.
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- Biometrics, 2023, v. 79, n. 2, p. 582, doi. 10.1111/biom.13779
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15
Discussion on "A formal causal interpretation of the case‐crossover design" by Zach Shahn, Miguel A. Hernán, and James M. Robins.
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- Biometrics, 2023, v. 79, n. 2, p. 1349, doi. 10.1111/biom.13750
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16
A formal causal interpretation of the case‐crossover design.
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- Biometrics, 2023, v. 79, n. 2, p. 1330, doi. 10.1111/biom.13749
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17
Discussion of "A formal causal interpretation of the case‐crossover design".
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- Biometrics, 2023, v. 79, n. 2, p. 1344, doi. 10.1111/biom.13748
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18
Discussion of "A formal causal interpretation of the case‐crossover design" by Zach Shahn, Miguel A. Hernan, and James M. Robins.
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- Biometrics, 2023, v. 79, n. 2, p. 1346, doi. 10.1111/biom.13747
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19
Rejoinder: A formal causal interpretation of the case‐crossover design.
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- Biometrics, 2023, v. 79, n. 2, p. 1351, doi. 10.1111/biom.13746
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20
Translocation detection from Hi‐C data via scan statistics.
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- Biometrics, 2023, v. 79, n. 2, p. 1306, doi. 10.1111/biom.13724
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21
Nonparametric inverse‐probability‐weighted estimators based on the highly adaptive lasso.
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- Biometrics, 2023, v. 79, n. 2, p. 1029, doi. 10.1111/biom.13719
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22
Efficient and robust methods for causally interpretable meta‐analysis: Transporting inferences from multiple randomized trials to a target population.
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- Biometrics, 2023, v. 79, n. 2, p. 1057, doi. 10.1111/biom.13716
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23
Posttreatment confounding in causal mediation studies: A cutting‐edge problem and a novel solution via sensitivity analysis.
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- Biometrics, 2023, v. 79, n. 2, p. 1042, doi. 10.1111/biom.13705
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24
It's all relative: Regression analysis with compositional predictors.
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- Biometrics, 2023, v. 79, n. 2, p. 1318, doi. 10.1111/biom.13703
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25
Flexible copula model for integrating correlated multi‐omics data from single‐cell experiments.
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- Biometrics, 2023, v. 79, n. 2, p. 1559, doi. 10.1111/biom.13701
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26
Issue Information.
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- Biometrics, 2023, v. 79, n. 2, p. 533, doi. 10.1111/biom.13698
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- Article
27
A Bayesian functional data model for surveys collected under informative sampling with application to mortality estimation using NHANES.
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- Biometrics, 2023, v. 79, n. 2, p. 1397, doi. 10.1111/biom.13696
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28
Robust functional principal component analysis via a functional pairwise spatial sign operator.
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- Biometrics, 2023, v. 79, n. 2, p. 1239, doi. 10.1111/biom.13695
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29
A Bayesian platform trial design to simultaneously evaluate multiple drugs in multiple indications with mixed endpoints.
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- Biometrics, 2023, v. 79, n. 2, p. 1459, doi. 10.1111/biom.13694
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30
Closed testing with Globaltest, with application in metabolomics.
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- Biometrics, 2023, v. 79, n. 2, p. 1103, doi. 10.1111/biom.13693
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31
Power analysis for cluster randomized trials with continuous coprimary endpoints.
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- Biometrics, 2023, v. 79, n. 2, p. 1293, doi. 10.1111/biom.13692
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32
An eigenvalue ratio approach to inferring population structure from whole genome sequencing data.
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- Biometrics, 2023, v. 79, n. 2, p. 891, doi. 10.1111/biom.13691
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33
Nonparametric estimation of the causal effect of a stochastic threshold‐based intervention.
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- Biometrics, 2023, v. 79, n. 2, p. 1014, doi. 10.1111/biom.13690
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34
Simplifying the estimation of diagnostic testing accuracy over time for high specificity tests in the absence of a gold standard.
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- Biometrics, 2023, v. 79, n. 2, p. 1546, doi. 10.1111/biom.13689
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35
Exact‐corrected confidence interval for risk difference in noninferiority binomial trials.
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- Biometrics, 2023, v. 79, n. 2, p. 1133, doi. 10.1111/biom.13688
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36
Robust Bayesian variable selection for gene–environment interactions.
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- Biometrics, 2023, v. 79, n. 2, p. 684, doi. 10.1111/biom.13670
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37
A compound decision approach to covariance matrix estimation.
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- Biometrics, 2023, v. 79, n. 2, p. 1201, doi. 10.1111/biom.13686
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38
Robust approach to combining multiple markers to improve surrogacy.
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- Biometrics, 2023, v. 79, n. 2, p. 788, doi. 10.1111/biom.13677
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39
Functional group bridge for simultaneous regression and support estimation.
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- Biometrics, 2023, v. 79, n. 2, p. 1226, doi. 10.1111/biom.13684
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40
A Bayesian model with application for adaptive platform trials having temporal changes.
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- Biometrics, 2023, v. 79, n. 2, p. 1446, doi. 10.1111/biom.13680
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41
Coherent modeling of longitudinal causal effects on binary outcomes.
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- Biometrics, 2023, v. 79, n. 2, p. 775, doi. 10.1111/biom.13687
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42
Nonparametric and semiparametric estimation with sequentially truncated survival data.
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- Biometrics, 2023, v. 79, n. 2, p. 1000, doi. 10.1111/biom.13678
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43
A cross‐validation statistical framework for asymmetric data integration.
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- Biometrics, 2023, v. 79, n. 2, p. 1280, doi. 10.1111/biom.13685
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44
An alternative metric for evaluating the potential patient benefit of response‐adaptive randomization procedures.
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- Biometrics, 2023, v. 79, n. 2, p. 1433, doi. 10.1111/biom.13673
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45
Model‐based clustering of high‐dimensional longitudinal data via regularization.
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- Biometrics, 2023, v. 79, n. 2, p. 761, doi. 10.1111/biom.13672
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46
Random projection ensemble classification with high‐dimensional time series.
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- Biometrics, 2023, v. 79, n. 2, p. 964, doi. 10.1111/biom.13679
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47
Domain selection and familywise error rate for functional data: A unified framework.
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- Biometrics, 2023, v. 79, n. 2, p. 1119, doi. 10.1111/biom.13669
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48
A note on familywise error rate for a primary and secondary endpoint.
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- Biometrics, 2023, v. 79, n. 2, p. 1114, doi. 10.1111/biom.13668
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49
Multikink quantile regression for longitudinal data with application to progesterone data analysis.
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- Biometrics, 2023, v. 79, n. 2, p. 747, doi. 10.1111/biom.13667
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50
Score test for missing at random or not under logistic missingness models.
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- Biometrics, 2023, v. 79, n. 2, p. 1268, doi. 10.1111/biom.13666
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