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Issue Information - TOC & Cover Information
- Pages: 1047-1048
- First Published: 05 December 2019
BIOMETRIC METHODOLOGY
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Detection of differentially expressed genes in discrete single-cell RNA sequencing data using a hurdle model with correlated random effects
- Pages: 1051-1062
- First Published: 22 April 2019
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Integrative analysis of genetical genomics data incorporating network structures
- Pages: 1063-1075
- First Published: 22 April 2019
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Pleiotropy informed adaptive association test of multiple traits using genome-wide association study summary data
- Pages: 1076-1085
- First Published: 25 April 2019
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Multiclass linear discriminant analysis with ultrahigh-dimensional features
- Pages: 1086-1097
- First Published: 22 April 2019
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Scalable estimation and regularization for the logistic normal multinomial model
- Pages: 1098-1108
- First Published: 22 April 2019
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Common reducing subspace model and network alternation analysis
- Pages: 1109-1120
- First Published: 29 May 2019
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Structural learning and integrative decomposition of multi-view data
- Pages: 1121-1132
- First Published: 29 June 2019
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Simulation-selection-extrapolation: Estimation in high-dimensional errors-in-variables models
- Pages: 1133-1144
- First Published: 01 July 2019
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Robust spatial extent inference with a semiparametric bootstrap joint inference procedure
- Pages: 1145-1155
- First Published: 08 July 2019
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Copula-based semiparametric models for spatiotemporal data
- Pages: 1156-1167
- First Published: 22 April 2019
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Semiparametric frailty models for zero-inflated event count data in the presence of informative dropout
- Pages: 1168-1178
- First Published: 20 May 2019
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Penalized local polynomial regression for spatial data
- Pages: 1179-1190
- First Published: 25 April 2019
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Variance component tests of multivariate mediation effects under composite null hypotheses
- Pages: 1191-1204
- First Published: 22 April 2019
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Model selection for G-estimation of dynamic treatment regimes
- Pages: 1205-1215
- First Published: 21 June 2019
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Multicategory individualized treatment regime using outcome weighted learning
- Pages: 1216-1227
- First Published: 16 May 2019
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Constructing a confidence interval for the fraction who benefit from treatment, using randomized trial data
- Pages: 1228-1239
- First Published: 17 June 2019
no
Leveraging nonlinear dynamic models to predict progression of neuroimaging biomarkers
- Pages: 1240-1252
- First Published: 02 July 2019
no
Using a surrogate marker for early testing of a treatment effect
- Pages: 1253-1263
- First Published: 22 April 2019
Open Access
oa
Fast Bayesian inference in large Gaussian graphical models
- Pages: 1288-1298
- First Published: 22 April 2019
no
Incorporating prior information with fused sparse group lasso: Application to prediction of clinical measures from neuroimages
- Pages: 1299-1309
- First Published: 25 April 2019
no
Autologistic network model on binary data for disease progression study
- Pages: 1310-1320
- First Published: 29 June 2019
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Integer-valued functional data analysis for measles forecasting
- Pages: 1321-1333
- First Published: 29 June 2019
BIOMETRIC PRACTICE
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Open population maximum likelihood spatial capture-recapture
- Pages: 1345-1355
- First Published: 02 May 2019
no
Quantifying personal exposure to air pollution from smartphone-based location data
- Pages: 1356-1366
- First Published: 10 June 2019
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Assessing alignment between functional markers and ordinal outcomes based on broad sense agreement
- Pages: 1367-1379
- First Published: 18 April 2019
no
Directional penalties for optimal matching in observational studies
- Pages: 1380-1390
- First Published: 30 May 2019
no
Analysis of covariance in randomized trials: More precision and valid confidence intervals, without model assumptions
- Pages: 1391-1400
- First Published: 22 April 2019
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Improved detection of epigenomic marks with mixed-effects hidden Markov models
- Pages: 1401-1413
- First Published: 13 May 2019
BOOK REVIEWS
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Spatio-temporal statistics with R, , , , Boca Raton, FL: CRC Press, 2019.
- Page: 1414
- First Published: 05 December 2019
no
Bayesian inference for stochastic processes, , Boca Raton: CRC Press.
- Pages: 1414-1415
- First Published: 05 December 2019
no
Textual data science with R, , Boca Raton: CRC Press.
- Pages: 1415-1416
- First Published: 05 December 2019
no
The statistical analysis of multivariate failure time data: A marginal modeling approach, , , Boca Raton, FL: CRC Press.
- Pages: 1416-1417
- First Published: 05 December 2019