Biometrics

1999 - 2023

From The International Biometric Society
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Volume 77, issue 4, 2021

Causal mediation of semicompeting risks pp. 1143-1154

Yen‐Tsung Huang

Discussion on “Causal mediation of semicompeting risks” by Yen‐Tsung Huang pp. 1155-1159

Kwun Chuen Gary Chan, Fei Gao and Fan Xia

Discussion on “Causal mediation of semicompeting risks” by Yen‐Tsung Huang pp. 1160-1164

Mats J. Stensrud, Jessica G. Young and Torben Martinussen

Discussion on “Causal mediation of semicompeting risks” by Yen‐Tsung Huang pp. 1165-1169

Isabel R. Fulcher, Ilya Shpitser, Vanessa Didelez, Kali Zhou and Daniel O. Scharfstein

Rejoinder to “Causal mediation of semicompeting risks” pp. 1170-1174

Yen‐Tsung Huang

Semiparametric partial common principal component analysis for covariance matrices pp. 1175-1186

Bingkai Wang, Xi Luo, Yi Zhao and Brian Caffo

Semiparametric models and inference for the effect of a treatment when the outcome is nonnegative with clumping at zero pp. 1187-1201

Jing Cheng and Dylan S. Small

A marginal moment matching approach for fitting endemic‐epidemic models to underreported disease surveillance counts pp. 1202-1214

Johannes Bracher and Leonhard Held

Nonparametric cluster significance testing with reference to a unimodal null distribution pp. 1215-1226

Erika S. Helgeson, David M. Vock and Eric Bair

Nonparametric matrix response regression with application to brain imaging data analysis pp. 1227-1240

Wei Hu, Tianyu Pan, Dehan Kong and Weining Shen

Efficient nonparametric inference on the effects of stochastic interventions under two‐phase sampling, with applications to vaccine efficacy trials pp. 1241-1253

Nima S. Hejazi, Mark J. van der Laan, Holly E. Janes, Peter B. Gilbert and David C. Benkeser

Net benefit index: Assessing the influence of a biomarker for individualized treatment rules pp. 1254-1264

Yiwang Zhou, Peter X.K. Song and Haoda Fu

A class of proportional win‐fractions regression models for composite outcomes pp. 1265-1275

Lu Mao and Tuo Wang

Evaluating and improving a matched comparison of antidepressants and bone density pp. 1276-1288

Ruoqi Yu

Modeling excess hazard with time‐to‐cure as a parameter pp. 1289-1302

Olayidé Boussari, Laurent Bordes, Gaëlle Romain, Marc Colonna, Nadine Bossard, Laurent Remontet and Valérie Jooste

A pairwise pseudo‐likelihood approach for left‐truncated and interval‐censored data under the Cox model pp. 1303-1314

Peijie Wang, Danning Li and Jianguo Sun

Evaluating multiple surrogate markers with censored data pp. 1315-1327

Layla Parast, Tianxi Cai and Lu Tian

Modeling sparse longitudinal data on Riemannian manifolds pp. 1328-1341

Xiongtao Dai, Zhenhua Lin and Hans‐Georg Müller

A stacked approach for chained equations multiple imputation incorporating the substantive model pp. 1342-1354

Lauren J. Beesley and Jeremy M. G. Taylor

Penalized Fieller's confidence interval for the ratio of bivariate normal means pp. 1355-1368

Peng Wang, Siqi Xu, Yi‐Xin Wang, Baolin Wu, Wing Kam Fung, Guimin Gao, Zhijiang Liang and Nianjun Liu

Poisson PCA: Poisson measurement error corrected PCA, with application to microbiome data pp. 1369-1384

Toby Kenney, Hong Gu and Tianshu Huang

A random covariance model for bi‐level graphical modeling with application to resting‐state fMRI data pp. 1385-1396

Lin Zhang, Andrew DiLernia, Karina Quevedo, Jazmin Camchong, Kelvin Lim and Wei Pan

Histopathological imaging‐based cancer heterogeneity analysis via penalized fusion with model averaging pp. 1397-1408

Baihua He, Tingyan Zhong, Jian Huang, Yanyan Liu, Qingzhao Zhang and Shuangge Ma

Brain connectivity alteration detection via matrix‐variate differential network model pp. 1409-1421

Jiadong Ji, Yong He, Lei Liu and Lei Xie

Receiver operating characteristic curves and confidence bands for support vector machines pp. 1422-1430

Daniel J. Luckett, Eric B. Laber, Samer S. El‐Kamary, Cheng Fan, Ravi Jhaveri, Charles M. Perou, Fatma M. Shebl and Michael R. Kosorok

A Bayesian approach to restricted latent class models for scientifically structured clustering of multivariate binary outcomes pp. 1431-1444

Zhenke Wu, Livia Casciola‐Rosen, Antony Rosen and Scott L. Zeger

Using the “Hidden” genome to improve classification of cancer types pp. 1445-1455

Saptarshi Chakraborty, Colin B. Begg and Ronglai Shen

Child mortality estimation incorporating summary birth history data pp. 1456-1466

Katie Wilson and Jon Wakefield

Improving precision and power in randomized trials for COVID‐19 treatments using covariate adjustment, for binary, ordinal, and time‐to‐event outcomes pp. 1467-1481

David Benkeser, Iván Díaz, Alex Luedtke, Jodi Segal, Daniel Scharfstein and Michael Rosenblum

Discussion on “Improving precision and power in randomized trials for COVID‐19 treatments using covariate adjustment for binary, ordinal, and time‐to‐event outcomes” pp. 1482-1484

Michael A. Proschan

Discussion of “Improving precision and power in randomized trials for COVID‐19 treatments using covariate adjustment, for binary, ordinal, and time‐to‐event outcomes” pp. 1485-1488

Min Zhang and Baqun Zhang

Discussion on “Improving precision and power in randomized trials for COVID‐19 treatments using covariate adjustment, for binary, ordinal, and time‐to‐event outcomes” by David Benkeser, Ivan Diaz, Alex Luedtke, Jodi Segal, Daniel Scharfstein, and Michael Rosenblum pp. 1489-1491

Lisa M. LaVange

Rejoinder: Improving precision and power in randomized trials for COVID‐19 treatments using covariate adjustment, for binary, ordinal, and time‐to‐event outcomes pp. 1492-1494

David Benkeser, Iván Díaz, Alex Luedtke, Jodi Segal, Daniel Scharfstein and Michael Rosenblum

Replication and evidence factors in observational studies by Paul R.Rosenbaum Boca Raton, FL: Chapman and Hall/CRC, 2021. pp. 276 pp. 1495-1498

Rajarshi Mukherjee

Matrix‐based introduction to multivariate data analysis, by KoheiAdachi 2nd edition. Singapore: Springer Nature, 2020. pp. 457 pp. 1498-1500

Lin Liu

Biometry for forestry and environmental data with examples in R. Lauri Mehtätalo and Juha Lappi. Boca Raton, FL: Chapman and Hall/CRC, 2020. pp. 426 pp. 1500-1502

Bianca N.I. Eskelson

Data analysis with RStudio: An easygoing introduction by Franz Kronthaler and Silke Zöllner Berlin, Germany: Springer‐Verlag GmbH, DE, 2021. pp. 131 pp. 1502-1503

Mei‐Hsien Lee

Data science and machine learning: Mathematical and statistical methods by Dirk P.Kroese,ZdravkoBotev,ThomasTaimre,RadislavVaisman Boca Raton, FL: Chapman and Hall/CRC, 2019. pp. 523 pp. 1503-1504

Yin‐Ju Lai and Chuhsing Kate Hsiao

Volume 77, issue 3, 2021

Approximate Bayesian inference for case‐crossover models pp. 785-795

Alex Stringer, Patrick Brown and Jamie Stafford

A Bayesian adaptive phase I/II clinical trial design with late‐onset competing risk outcomes pp. 796-808

Yifei Zhang, Sha Cao, Chi Zhang, Ick Hoon Jin and Yong Zang

Bayesian variable selection for non‐Gaussian responses: a marginally calibrated copula approach pp. 809-823

Nadja Klein and Michael Stanley Smith

Bayesian compositional regression with structured priors for microbiome feature selection pp. 824-838

Liangliang Zhang, Yushu Shi, Robert R. Jenq, Kim‐Anh Do and Christine B. Peterson

Cross‐component registration for multivariate functional data, with application to growth curves pp. 839-851

Cody Carroll, Hans‐Georg Müller and Alois Kneip

Cluster non‐Gaussian functional data pp. 852-865

Qingzhi Zhong, Huazhen Lin and Yi Li

Nonparametric trend estimation in functional time series with application to annual mortality rates pp. 866-878

Israel Martínez‐Hernández and Marc G. Genton

Multimodal neuroimaging data integration and pathway analysis pp. 879-889

Yi Zhao, Lexin Li and Brian S. Caffo

Regularized matrix data clustering and its application to image analysis pp. 890-902

Xu Gao, Weining Shen, Liwen Zhang, Jianhua Hu, Norbert J. Fortin, Ron D. Frostig and Hernando Ombao

Ultra high‐dimensional semiparametric longitudinal data analysis pp. 903-913

Brittany Green, Heng Lian, Yan Yu and Tianhai Zu

Poststratification fusion learning in longitudinal data analysis pp. 914-928

Lu Tang and Peter X.‐K. Song

Estimation of incubation period and generation time based on observed length‐biased epidemic cohort with censoring for COVID‐19 outbreak in China pp. 929-941

Yuhao Deng, Chong You, Yukun Liu, Jing Qin and Xiao‐Hua Zhou

Tailored optimal posttreatment surveillance for cancer recurrence pp. 942-955

Rui Chen and Menggang Yu

Analysis of noisy survival data with graphical proportional hazards measurement error models pp. 956-969

Li‐Pang Chen and Grace Y. Yi

Estimation of conditional power for cluster‐randomized trials with interval‐censored endpoints pp. 970-983

Kaitlyn Cook and Rui Wang

Compositional knockoff filter for high‐dimensional regression analysis of microbiome data pp. 984-995

Arun Srinivasan, Lingzhou Xue and Xiang Zhan

A weak‐signal‐assisted procedure for variable selection and statistical inference with an informative subsample pp. 996-1010

Fang Fang, Jiwei Zhao, S. Ejaz Ahmed and Annie Qu

Covariate‐driven factorization by thresholding for multiblock data pp. 1011-1023

Xing Gao, Sungwon Lee, Gen Li and Sungkyu Jung

Combining primary cohort data with external aggregate information without assuming comparability pp. 1024-1036

Ziqi Chen, Jing Ning, Yu Shen and Jing Qin

Post‐selection inference for changepoint detection algorithms with application to copy number variation data pp. 1037-1049

Sangwon Hyun, Kevin Z. Lin, Max G'Sell and Ryan J. Tibshirani

Maximum likelihood abundance estimation from capture‐recapture data when covariates are missing at random pp. 1050-1060

Yang Liu, Yukun Liu, Pengfei Li and Lin Zhu

Joint penalized spline modeling of multivariate longitudinal data, with application to HIV‐1 RNA load levels and CD4 cell counts pp. 1061-1074

Lihui Zhao, Tom Chen, Vladimir Novitsky and Rui Wang

A batch‐effect adjusted Simon's two‐stage design for cancer vaccine clinical studies pp. 1075-1088

Chenguang Wang, Zhixin Wang, Gary L. Rosner, Warner K. Huh, Richard B.S. Roden and Sejong Bae

Statistical inference for natural language processing algorithms with a demonstration using type 2 diabetes prediction from electronic health record notes pp. 1089-1100

Brian L. Egleston, Tian Bai, Richard J. Bleicher, Stanford J. Taylor, Michael H. Lutz and Slobodan Vucetic

Variance estimation in inverse probability weighted Cox models pp. 1101-1117

Di Shu, Jessica G. Young, Sengwee Toh and Rui Wang

Scalable and robust latent trajectory class analysis using artificial likelihood pp. 1118-1128

Kari R. Hart, Teng Fei and John J. Hanfelt

Statistics for making decisions by Nicholas T. Longford Boca Raton, FL: Chapman and Hall/CRC, 2021. Hard cover. pp. 307. $96 pp. 1129-1129

Yu‐Chung Wei

Structural equation modeling with partial least squares using Stata and R by Mehmet Mehmetoglu and Sergio Venturini Boca Raton, FL, USA: Chapman and Hall/CRC, 2021. Hard cover. pp. 382. £ 99.99 pp. 1130-1131

Yu‐Kang Tu

Introduction to Data Science: Data Analysis and Algorithms with R, By Rafael Irrizarry Boca Raton, FL: CRC Press, 2020. Hard cover. pp. 711 pp. 1131-1132

Nairanjana Dasgupta

Statistical Foundations of Data Science Jianqing Fan, Runze Li, Cun‐Hui Zhang and Hui Zou Boca Raton, FL: Chapman and Hall/CRC, 2021. Hard cover. pp. 774. USD $130.00 pp. 1132-1135

Li‐Pang Chen

Handbook of neuroimaging data analysis HernandoOmbao, MartinLindquist, WesleyThompson, JohnAston Boca Raton, FL: CRC Press, 2017. Hard cover. pp. 702. 210.00 USD pp. 1135-1137

Andrew Whiteman

Volume 77, issue 2, 2021

Estimating and inferring the maximum degree of stimulus‐locked time‐varying brain connectivity networks pp. 379-390

Kean Ming Tan, Junwei Lu, Tong Zhang and Han Liu

Bayesian group selection in logistic regression with application to MRI data analysis pp. 391-400

Kyoungjae Lee and Xuan Cao

Iterated multisource exchangeability models for individualized inference with an application to mobile sensor data pp. 401-412

Roland Brown, Yingling Fan, Kirti Das and Julian Wolfson

Robust and efficient semi‐supervised estimation of average treatment effects with application to electronic health records data pp. 413-423

David Cheng, Ashwin N. Ananthakrishnan and Tianxi Cai

A novel statistical method for modeling covariate effects in bisulfite sequencing derived measures of DNA methylation pp. 424-438

Kaiqiong Zhao, Karim Oualkacha, Lajmi Lakhal‐Chaieb, Aurélie Labbe, Kathleen Klein, Antonio Ciampi, Marie Hudson, Inés Colmegna, Tomi Pastinen, Tieyuan Zhang, Denise Daley and Celia M.T. Greenwood

Scalable Bayesian matrix normal graphical models for brain functional networks pp. 439-450

Suprateek Kundu and Benjamin B. Risk

The impact of misclassification on covariate‐adaptive randomized clinical trials pp. 451-464

Tong Wang and Wei Ma

Resampling‐based confidence intervals for model‐free robust inference on optimal treatment regimes pp. 465-476

Yunan Wu and Lan Wang

Evaluation of longitudinal surrogate markers pp. 477-489

Denis Agniel and Layla Parast

Spatial regression and spillover effects in cluster randomized trials with count outcomes pp. 490-505

Karim Anaya‐Izquierdo and Neal Alexander

A constrained single‐index regression for estimating interactions between a treatment and covariates pp. 506-518

Hyung Park, Eva Petkova, Thaddeus Tarpey and R. Todd Ogden

A multiple robust propensity score method for longitudinal analysis with intermittent missing data pp. 519-532

Chixiang Chen, Biyi Shen, Aiyi Liu, Rongling Wu and Ming Wang

Nonparametric analysis of nonhomogeneous multistate processes with clustered observations pp. 533-546

Giorgos Bakoyannis

Semiparametric estimation of cross‐covariance functions for multivariate random fields pp. 547-560

Ghulam A. Qadir and Ying Sun

Semiparametric regression calibration for general hazard models in survival analysis with covariate measurement error; surprising performance under linear hazard pp. 561-572

Ching‐Yun Wang and Xiao Song

Structural factor equation models for causal network construction via directed acyclic mixed graphs pp. 573-586

Yan Zhou, Peter X.‐K. Song and Xiaoquan Wen

Optimality of testing procedures for survival data in the nonproportional hazards setting pp. 587-598

Andrea Arfè, Brian Alexander and Lorenzo Trippa

Developing and evaluating risk prediction models with panel current status data pp. 599-609

Stephanie Chan, Xuan Wang, Ina Jazić, Sarah Peskoe, Yingye Zheng and Tianxi Cai

Quantile regression for survival data with covariates subject to detection limits pp. 610-621

Tonghui Yu, Liming Xiang and Huixia Judy Wang

Two‐group Poisson‐Dirichlet mixtures for multiple testing pp. 622-633

Francesco Denti, Michele Guindani, Fabrizio Leisen, Antonio Lijoi, William Duncan Wadsworth and Marina Vannucci

A semiparametric Bayesian approach to population finding with time‐to‐event and toxicity data in a randomized clinical trial pp. 634-648

Satoshi Morita, Peter Müller and Hiroyasu Abe

A Bayesian hierarchical model for characterizing the diffusion of new antipsychotic drugs pp. 649-660

Chenyang Gu, Haiden Huskamp, Julie Donohue and Sharon‐Lise Normand

Batch Bayesian optimization design for optimizing a neurostimulator pp. 661-674

Adam Kaplan and Thomas A. Murray

A Bayesian multivariate mixture model for skewed longitudinal data with intermittent missing observations: An application to infant motor development pp. 675-688

Carter Allen, Sara E. Benjamin‐Neelon and Brian Neelon

Latent Ornstein‐Uhlenbeck models for Bayesian analysis of multivariate longitudinal categorical responses pp. 689-701

Trung Dung Tran, Emmanuel Lesaffre, Geert Verbeke and Joke Duyck

Sensitivity analysis for subsequent treatments in confirmatory oncology clinical trials: A two‐stage stochastic dynamic treatment regime approach pp. 702-714

Yasuhiro Hagiwara, Tomohiro Shinozaki, Hirofumi Mukai and Yutaka Matsuyama

Horvitz‐Thompson–like estimation with distance‐based detection probabilities for circular plot sampling of forests pp. 715-728

Kasper Kansanen, Petteri Packalen, Matti Maltamo and Lauri Mehtätalo

Estimating the optimal timing of surgery from observational data pp. 729-739

Xiaofei Chen, Daniel F. Heitjan, Gerald Greil and Haekyung Jeon‐Slaughter

Parametric g‐formula implementations for causal survival analyses pp. 740-753

Lan Wen, Jessica G. Young, James M. Robins and Miguel A. Hernán

Flexible link functions in a joint hierarchical Gaussian process model pp. 754-764

Weiji Su, Xia Wang and Rhonda D. Szczesniak

Estimating the burden of the opioid epidemic for adults and adolescents in Ohio counties pp. 765-775

David Kline and Staci A. Hepler

Interactive web‐based data visualization with R, plotly, and shiny (Carson Sievert) pp. 776-777

Ran Li and Usama Bilal

Statistical methods for survival trial design—With applications to cancer clinical trials using R by Jianrong Wu, CRC Press, 2018, ISBN 9780367734329 pp. 777-778

Chen Hu

Volume 77, issue 1, 2021

Nonparametric variable importance assessment using machine learning techniques pp. 9-22

Brian D. Williamson, Peter B. Gilbert, Marco Carone and Noah Simon

Discussion on “Nonparametric variable importance assessment using machine learning techniques” by Brian D. Williamson, Peter B. Gilbert, Marco Carone, and Noah Simon pp. 23-27

Min Lu and Hemant Ishwaran

Rejoinder to “Nonparametric variable importance assessment using machine learning techniques” pp. 28-30

Brian D. Williamson, Peter B. Gilbert, Marco Carone and Noah Simon

Approval policies for modifications to machine learning‐based software as a medical device: A study of bio‐creep pp. 31-44

Jean Feng, Scott Emerson and Noah Simon

Discussion on “Approval policies for modifications to machine learning‐based software as a medical device: A study of bio‐creep” by Jean Feng, Scott Emerson, and Noah Simon pp. 45-48

Gene Pennello, Berkman Sahiner, Alexej Gossmann and Nicholas Petrick

Discussion on “Approval policies for modifications to machine learning‐based software as a medical device: A study of biocreep” by Jean Feng, Scott Emerson, and Noah Simon pp. 49-51

Sherri Rose

Rejoinder to Discussions on “Approval policies for modifications to machine learning‐based software as a medical device: A study of bio‐creep” pp. 52-53

Jean Feng, Scott Emerson and Noah Simon

Analyzing wearable device data using marked point processes pp. 54-66

Yuchen Yang and Mei‐Cheng Wang

Case contamination in electronic health records based case‐control studies pp. 67-77

Lu Wang, Jill Schnall, Aeron Small, Rebecca A. Hubbard, Jason H. Moore, Scott M. Damrauer and Jinbo Chen

Bayesian latent multi‐state modeling for nonequidistant longitudinal electronic health records pp. 78-90

Yu Luo, David A. Stephens, Aman Verma and David L. Buckeridge

Zero‐inflated Poisson factor model with application to microbiome read counts pp. 91-101

Tianchen Xu, Ryan T. Demmer and Gen Li

Retrospective versus prospective score tests for genetic association with case‐control data pp. 102-112

Yukun Liu, Pengfei Li, Lei Song, Kai Yu and Jing Qin

On computation of semiparametric maximum likelihood estimators with shape constraints pp. 113-124

Yudong Wang, Zhi‐Sheng Ye and Hongyuan Cao

A Bayesian nonparametric model for zero‐inflated outcomes: Prediction, clustering, and causal estimation pp. 125-135

Arman Oganisian, Nandita Mitra and Jason A. Roy

Bayesian inference of causal effects from observational data in Gaussian graphical models pp. 136-149

Federico Castelletti and Guido Consonni

A joint modeling approach for analyzing marker data in the presence of a terminal event pp. 150-161

Jie Zhou, Xin Chen, Xinyuan Song and Liuquan Sun

Weighted regression analysis to correct for informative monitoring times and confounders in longitudinal studies pp. 162-174

Janie Coulombe, Erica E. M. Moodie and Robert W. Platt

Dynamic inference in general nested case‐control designs pp. 175-185

J. Feifel and D. Dobler

Parameter estimation for discretely observed linear birth‐and‐death processes pp. 186-196

A. C. Davison, S. Hautphenne and A. Kraus

Transporting stochastic direct and indirect effects to new populations pp. 197-211

Kara E. Rudolph, Jonathan Levy and Mark J. van der Laan

A powerful procedure that controls the false discovery rate with directional information pp. 212-222

Zhaoyang Tian, Kun Liang and Pengfei Li

Adaptive treatment and robust control pp. 223-236

Q. Clairon, R Henderson, N. J. Young, E. D. Wilson and C. J. Taylor

Upper bound estimators of the population size based on ordinal models for capture‐recapture experiments pp. 237-248

Marco Alfò, Dankmar Böhning and Irene Rocchetti

Efficient screening of predictive biomarkers for individual treatment selection pp. 249-257

Shonosuke Sugasawa and Hisashi Noma

Generalized reliability based on distances pp. 258-270

Meng Xu, Philip T. Reiss and Ivor Cribben

Marginal analysis of multiple outcomes with informative cluster size pp. 271-282

A. A. Mitani, E. K. Kaye and K. P. Nelson

Testing tumors from different anatomic sites for clonal relatedness using somatic mutation data pp. 283-292

Irina Ostrovnaya, Audrey Mauguen, Venkatraman E. Seshan and Colin B. Begg

Ensemble clustering for step data via binning pp. 293-304

Ja‐Yoon Jang, Hee‐Seok Oh, Yaeji Lim and Ying Kuen Cheung

Bayesian analysis of survival data with missing censoring indicators pp. 305-315

Naomi C. Brownstein, Veronica Bunn, Luis M. Castro and Debajyoti Sinha

A Bayes factor approach with informative prior for rare genetic variant analysis from next generation sequencing data pp. 316-328

Jingxiong Xu, Wei Xu and Laurent Briollais

Exploiting nonsystematic covariate monitoring to broaden the scope of evidence about the causal effects of adaptive treatment strategies pp. 329-342

Noémi Kreif, Oleg Sofrygin, Julie A. Schmittdiel, Alyce S. Adams, Richard W. Grant, Zheng Zhu, Mark J. van der Laan and Romain Neugebauer

Repeated measures random forests (RMRF): Identifying factors associated with nocturnal hypoglycemia pp. 343-351

Peter Calhoun, Richard A. Levine and Juanjuan Fan

Improving inference for nonlinear state‐space models of animal population dynamics given biased sequential life stage data pp. 352-361

Leo Polansky, Ken B. Newman and Lara Mitchell

A penalized structural equation modeling method accounting for secondary phenotypes for variable selection on genetically regulated expression from PrediXcan for Alzheimer's disease pp. 362-371

Ting‐Huei Chen and Hanaa Boughal

Book review of “Disease mapping: From foundations to multidimensional modeling” pp. 372-373

Virgilio Gómez‐Rubio