Behavior analysis with machine learning using R. Enrique Garcia Ceja.
- Published in:
- Biometrics, 2022, v. 78, n. 3, p. 1274, doi. 10.1111/biom.13737
- Publication type:
- Article
Works matching IS 0006341X AND DT 2022 AND VI 78 AND IP 3
Results: 45
1
2
Multivariate data integration using R: Methods and applications with the mixOmics package.
- Published in:
- Biometrics, 2022, v. 78, n. 3, p. 1272, doi. 10.1111/biom.13730
- Publication type:
- Article
3
Handbook of measurement error models.
- Published in:
- Biometrics, 2022, v. 78, n. 3, p. 1269, doi. 10.1111/biom.13675
- Publication type:
- Article
4
Distributional independent component analysis for diverse neuroimaging modalities.
- Published in:
- Biometrics, 2022, v. 78, n. 3, p. 1092, doi. 10.1111/biom.13594
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- Publication type:
- Article
5
Discussion on "Estimating vaccine efficacy over time after a randomized study is unblinded" by Anastasios A. Tsiatis and Marie Davidian.
- Published in:
- Biometrics, 2022, v. 78, n. 3, p. 839, doi. 10.1111/biom.13540
- Publication type:
- Article
6
Rejoinder: Estimating vaccine efficacy over time after a randomized study is unblinded.
- Published in:
- Biometrics, 2022, v. 78, n. 3, p. 848, doi. 10.1111/biom.13539
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- Publication type:
- Article
7
Addressing patient heterogeneity in disease predictive model development.
- Published in:
- Biometrics, 2022, v. 78, n. 3, p. 1045, doi. 10.1111/biom.13514
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- Publication type:
- Article
8
Book Review: Supervised machine learning for text analysis in R.
- Published in:
- Biometrics, 2022, v. 78, n. 3, p. 1270, doi. 10.1111/biom.13674
- Publication type:
- Article
9
Discussion on "distributional independent component analysis for diverse neuroimaging modalities" by Ben Wu, Subhadip Pal, Jian Kang, and Ying Guo.
- Published in:
- Biometrics, 2022, v. 78, n. 3, p. 1113, doi. 10.1111/biom.13591
- By:
- Publication type:
- Article
10
Discussion on "distributional independent component analysis for diverse neuroimaging modalities" by Ben Wu, Subhadip Pal, Jian Kang, and Ying Guo.
- Published in:
- Biometrics, 2022, v. 78, n. 3, p. 1109, doi. 10.1111/biom.13592
- Publication type:
- Article
11
Discussion on "distributional independent component analysis for diverse neuroimaging modalities" by Ben Wu, Subhadip Pal, Jian Kang, and Ying Guo.
- Published in:
- Biometrics, 2022, v. 78, n. 3, p. 1118, doi. 10.1111/biom.13590
- By:
- Publication type:
- Article
12
Discussion on "Distributional independent component analysis for diverse neuroimaging modalities" by Ben Wu, Subhadip Pal, Jian Kang, and Ying Guo.
- Published in:
- Biometrics, 2022, v. 78, n. 3, p. 1106, doi. 10.1111/biom.13589
- By:
- Publication type:
- Article
13
Rejoinder to discussions of "distributional independent component analysis for diverse neuroimaging modalities".
- Published in:
- Biometrics, 2022, v. 78, n. 3, p. 1122, doi. 10.1111/biom.13588
- By:
- Publication type:
- Article
14
Estimating vaccine efficacy over time after a randomized study is unblinded.
- Published in:
- Biometrics, 2022, v. 78, n. 3, p. 825, doi. 10.1111/biom.13509
- By:
- Publication type:
- Article
15
Discussion on "Estimating vaccine efficacy over time after a randomized study is unblinded" by Anastasios A. Tsiatis and Marie Davidian.
- Published in:
- Biometrics, 2022, v. 78, n. 3, p. 841, doi. 10.1111/biom.13542
- By:
- Publication type:
- Article
16
Discussion on "estimating vaccine efficacy over time after a randomized study is unblinded" by Anastasios A. Tsiatis and Marie Davidian.
- Published in:
- Biometrics, 2022, v. 78, n. 3, p. 844, doi. 10.1111/biom.13541
- Publication type:
- Article
17
A Bayesian nonparametric approach for inferring drug combination effects on mental health in people with HIV.
- Published in:
- Biometrics, 2022, v. 78, n. 3, p. 988, doi. 10.1111/biom.13508
- By:
- Publication type:
- Article
18
Optimization of sampling designs for pedigrees and association studies.
- Published in:
- Biometrics, 2022, v. 78, n. 3, p. 1056, doi. 10.1111/biom.13476
- By:
- Publication type:
- Article
19
Stratified Cox models with time‐varying effects for national kidney transplant patients: A new blockwise steepest ascent method.
- Published in:
- Biometrics, 2022, v. 78, n. 3, p. 1221, doi. 10.1111/biom.13473
- By:
- Publication type:
- Article
20
Testing for association in multiview network data.
- Published in:
- Biometrics, 2022, v. 78, n. 3, p. 1018, doi. 10.1111/biom.13464
- By:
- Publication type:
- Article
21
Restricted function‐on‐function linear regression model.
- Published in:
- Biometrics, 2022, v. 78, n. 3, p. 1031, doi. 10.1111/biom.13463
- By:
- Publication type:
- Article
22
Quantifying direct and indirect effect for longitudinal mediator and survival outcome using joint modeling approach.
- Published in:
- Biometrics, 2022, v. 78, n. 3, p. 1233, doi. 10.1111/biom.13475
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- Publication type:
- Article
23
A multiview model for relative and absolute microbial abundances.
- Published in:
- Biometrics, 2022, v. 78, n. 3, p. 1181, doi. 10.1111/biom.13503
- By:
- Publication type:
- Article
24
Spatial correlation structures for detections of individuals in spatial capture–recapture models.
- Published in:
- Biometrics, 2022, v. 78, n. 3, p. 963, doi. 10.1111/biom.13502
- By:
- Publication type:
- Article
25
Sample size formula for general win ratio analysis.
- Published in:
- Biometrics, 2022, v. 78, n. 3, p. 1257, doi. 10.1111/biom.13501
- By:
- Publication type:
- Article
26
Simulation‐based estimators of analytically intractable causal effects.
- Published in:
- Biometrics, 2022, v. 78, n. 3, p. 1001, doi. 10.1111/biom.13499
- Publication type:
- Article
27
Issue Information.
- Published in:
- Biometrics, 2022, v. 78, n. 3, p. 821, doi. 10.1111/biom.13490
- Publication type:
- Article
28
A semiparametric model for between‐subject attributes: Applications to beta‐diversity of microbiome data.
- Published in:
- Biometrics, 2022, v. 78, n. 3, p. 950, doi. 10.1111/biom.13487
- By:
- Publication type:
- Article
29
Tensor envelope mixture model for simultaneous clustering and multiway dimension reduction.
- Published in:
- Biometrics, 2022, v. 78, n. 3, p. 1067, doi. 10.1111/biom.13486
- By:
- Publication type:
- Article
30
Nonhomogeneous Markov chain for estimating the cumulative risk of multiple false positive screening tests.
- Published in:
- Biometrics, 2022, v. 78, n. 3, p. 1244, doi. 10.1111/biom.13484
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- Publication type:
- Article
31
Nonparametric estimation in an illness‐death model with component‐wise censoring.
- Published in:
- Biometrics, 2022, v. 78, n. 3, p. 1168, doi. 10.1111/biom.13482
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- Publication type:
- Article
32
Utilizing stability criteria in choosing feature selection methods yields reproducible results in microbiome data.
- Published in:
- Biometrics, 2022, v. 78, n. 3, p. 1155, doi. 10.1111/biom.13481
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- Publication type:
- Article
33
Modeling semi‐competing risks data as a longitudinal bivariate process.
- Published in:
- Biometrics, 2022, v. 78, n. 3, p. 922, doi. 10.1111/biom.13480
- By:
- Publication type:
- Article
34
Feature screening with large‐scale and high‐dimensional survival data.
- Published in:
- Biometrics, 2022, v. 78, n. 3, p. 894, doi. 10.1111/biom.13479
- By:
- Publication type:
- Article
35
Semiparametric analysis of clustered interval‐censored survival data using soft Bayesian additive regression trees (SBART).
- Published in:
- Biometrics, 2022, v. 78, n. 3, p. 880, doi. 10.1111/biom.13478
- By:
- Publication type:
- Article
36
Efficient detection and classification of epigenomic changes under multiple conditions.
- Published in:
- Biometrics, 2022, v. 78, n. 3, p. 1141, doi. 10.1111/biom.13477
- By:
- Publication type:
- Article
37
Inferring UK COVID‐19 fatal infection trajectories from daily mortality data: Were infections already in decline before the UK lockdowns?
- Published in:
- Biometrics, 2022, v. 78, n. 3, p. 1127, doi. 10.1111/biom.13462
- Publication type:
- Article
38
Integrative analysis of multiple case‐control studies.
- Published in:
- Biometrics, 2022, v. 78, n. 3, p. 1080, doi. 10.1111/biom.13461
- By:
- Publication type:
- Article
39
Regression with interval‐censored covariates: Application to cross‐sectional incidence estimation.
- Published in:
- Biometrics, 2022, v. 78, n. 3, p. 908, doi. 10.1111/biom.13472
- By:
- Publication type:
- Article
40
Semiparametric estimation of structural nested mean models with irregularly spaced longitudinal observations.
- Published in:
- Biometrics, 2022, v. 78, n. 3, p. 937, doi. 10.1111/biom.13471
- Publication type:
- Article
41
A consistent version of distance covariance for right‐censored survival data and its application in hypothesis testing.
- Published in:
- Biometrics, 2022, v. 78, n. 3, p. 867, doi. 10.1111/biom.13470
- By:
- Publication type:
- Article
42
Multivariate survival analysis in big data: A divide‐and‐combine approach.
- Published in:
- Biometrics, 2022, v. 78, n. 3, p. 852, doi. 10.1111/biom.13469
- By:
- Publication type:
- Article
43
Bayesian analysis of coupled cellular and nuclear trajectories for cell migration.
- Published in:
- Biometrics, 2022, v. 78, n. 3, p. 1209, doi. 10.1111/biom.13468
- By:
- Publication type:
- Article
44
Parameter inference for a stochastic kinetic model of expanded polyglutamine proteins.
- Published in:
- Biometrics, 2022, v. 78, n. 3, p. 1195, doi. 10.1111/biom.13467
- By:
- Publication type:
- Article
45
A transformation‐free linear regression for compositional outcomes and predictors.
- Published in:
- Biometrics, 2022, v. 78, n. 3, p. 974, doi. 10.1111/biom.13465
- By:
- Publication type:
- Article