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Biometrics

1999 - 2022

From The International Biometric Society
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Volume 78, issue 1, 2022

Robust methods to correct for measurement error when evaluating a surrogate marker pp. 9-23 Downloads
Layla Parast, Tanya P. Garcia, Ross L. Prentice and Raymond J. Carroll
Two robust tools for inference about causal effects with invalid instruments pp. 24-34 Downloads
Hyunseung Kang, Youjin Lee, T. Tony Cai and Dylan S. Small
Identifying individual predictive factors for treatment efficacy pp. 35-45 Downloads
Ariel Alonso, Wim Van der Elst, Lizet Sanchez, Patricia Luaces and Geert Molenberghs
Nonlinear mediation analysis with high‐dimensional mediators whose causal structure is unknown pp. 46-59 Downloads
Wen Wei Loh, Beatrijs Moerkerke, Tom Loeys and Stijn Vansteelandt
Bayesian group sequential enrichment designs based on adaptive regression of response and survival time on baseline biomarkers pp. 60-71 Downloads
Yeonhee Park, Suyu Liu, Peter F. Thall and Ying Yuan
A spatial Bayesian latent factor model for image‐on‐image regression pp. 72-84 Downloads
Cui Guo, Jian Kang and Timothy D. Johnson
Assuming independence in spatial latent variable models: Consequences and implications of misspecification pp. 85-99 Downloads
Francis K.C. Hui, Nicole A. Hill and A.H. Welsh
Causal inference in high dimensions: A marriage between Bayesian modeling and good frequentist properties pp. 100-114 Downloads
Joseph Antonelli, Georgia Papadogeorgou and Francesca Dominici
Joint calibrated estimation of inverse probability of treatment and censoring weights for marginal structural models pp. 115-127 Downloads
Sean Yiu and Li Su
Obtaining optimal cutoff values for tree classifiers using multiple biomarkers pp. 128-140 Downloads
Yuxin Zhu and Mei‐Cheng Wang
Two‐stage penalized regression screening to detect biomarker–treatment interactions in randomized clinical trials pp. 141-150 Downloads
Jixiong Wang, Ashish Patel, James M.S. Wason and Paul J. Newcombe
Simultaneous variable selection and estimation for joint models of longitudinal and failure time data with interval censoring pp. 151-164 Downloads
Fengting Yi, Niansheng Tang and Jianguo Sun
Analysis of clustered interval‐censored data using a class of semiparametric partly linear frailty transformation models pp. 165-178 Downloads
Chun Yin Lee, Kin Yau Wong, K. F. Lam and Jinfeng Xu
Weight calibration to improve efficiency for estimating pure risks from the additive hazards model with the nested case‐control design pp. 179-191 Downloads
Yei Eun Shin, Ruth M. Pfeiffer, Barry I. Graubard and Mitchell H. Gail
Restricted mean survival time as a function of restriction time pp. 192-201 Downloads
Yingchao Zhong and Douglas E. Schaubel
New multivariate tests for assessing covariate balance in matched observational studies pp. 202-213 Downloads
Hao Chen and Dylan S. Small
Statistical inference for association studies using electronic health records: handling both selection bias and outcome misclassification pp. 214-226 Downloads
Lauren J. Beesley and Bhramar Mukherjee
Semiparametric imputation using conditional Gaussian mixture models under item nonresponse pp. 227-237 Downloads
Danhyang Lee and Jae Kwang Kim
Simultaneous confidence intervals for ranks with application to ranking institutions pp. 238-247 Downloads
Diaa Al Mohamad, Jelle J. Goeman and Erik W. van Zwet
Density estimation for circular data observed with errors pp. 248-260 Downloads
Marco Di Marzio, Stefania Fensore, Agnese Panzera and Charles C. Taylor
Speeding up Monte Carlo simulations for the adaptive sum of powered score test with importance sampling pp. 261-273 Downloads
Yangqing Deng, Yinqiu He, Gongjun Xu and Wei Pan
A latent capture history model for digital aerial surveys pp. 274-285 Downloads
David L. Borchers, Peter Nightingale, Ben C. Stevenson and Rachel M. Fewster
Modelling group movement with behaviour switching in continuous time pp. 286-299 Downloads
Mu Niu, Fay Frost, Jordan E. Milner, Anna Skarin and Paul G. Blackwell
Bayesian dose regimen assessment in early phase oncology incorporating pharmacokinetics and pharmacodynamics pp. 300-312 Downloads
Emma Gerard, Sarah Zohar, Hoai‐Thu Thai, Christelle Lorenzato, Marie‐Karelle Riviere and Moreno Ursino
A nonparametric Bayesian model for estimating spectral densities of resting‐state EEG twin data pp. 313-323 Downloads
Brian Hart, Michele Guindani, Stephen Malone and Mark Fiecas
Simultaneous spatial smoothing and outlier detection using penalized regression, with application to childhood obesity surveillance from electronic health records pp. 324-336 Downloads
Young‐Geun Choi, Lawrence P. Hanrahan, Derek Norton and Ying‐Qi Zhao
Estimating the optimal individualized treatment rule from a cost‐effectiveness perspective pp. 337-351 Downloads
Yizhe Xu, Tom H. Greene, Adam P. Bress, Brian C. Sauer, Brandon K. Bellows, Yue Zhang, William S. Weintraub, Andrew E. Moran and Jincheng Shen
A closed max‐t test for multiple comparisons of areas under the ROC curve pp. 352-363 Downloads
Paul Blanche, Jean‐François Dartigues and Jérémie Riou
Generalized multi‐SNP mediation intersection–union test pp. 364-375 Downloads
Wujuan Zhong, Toni Darville, Xiaojing Zheng, Jason Fine and Yun Li
Random effects models of lymph node metastases in breast cancer: quantifying the roles of covariates and screening using a continuous growth model pp. 376-387 Downloads
Gabriel Isheden, Kamila Czene and Keith Humphreys
Power and sample size for observational studies of point exposure effects pp. 388-398 Downloads
Bonnie E. Shook‐Sa and Michael G. Hudgens
Biased estimation with shared parameter models in the presence of competing dropout mechanisms pp. 399-406 Downloads
Edward F. Vonesh and Tom Greene
Rejoinder to “Biased Estimation With Shared Parameter Models in the Presence of Competing Dropout Mechanisms” pp. 407-408 Downloads
Christos Thomadakis, Loukia Meligkotsidou, Nikos Pantazis and Giota Touloumi
Modelling spatial and spatial‐temporal data: A Bayesian approach Robert P. Haining and Guangquan Li Boca Raton, FL: Chapman and Hall/CRC, 2020. pp. 608 pp. 409-410 Downloads
Howard H. Chang
Statistical inference via data science: A modern dive into R and the Tidyverse, Chester Ismay and Albert Y. Kim Boca Raton, FL: Chapman and Hall/CRC, 2019. pp. 460 pp. 410-412 Downloads
Zachary Fusfeld
Bayesian analysis of infectious diseases ‐ COVID‐19 and beyond, by Lyle Broemeling Lyle D. Broemeling Boca Raton, FL: Chapman and Hall/CRC, 2021. pp. 330 pp. 412-413 Downloads
Marie V. Ozanne
Meta‐analysis: Methods for health and experimental studies: Shahjahan Khan Springer Nature Singapore Pte. Ltd. 2020. pp. 293 pp. 414-414 Downloads
Tugba Akkaya‐Hocagil
Omic association studies with R and bioconductor: Juan R. Gonzalez and Alejandro Caceres Boca Raton, FL: Chapman and Hall/CRC, 2020. pp. 390 pp. 415-416 Downloads
Amber W. Wang

Volume 77, issue 4, 2021

Causal mediation of semicompeting risks pp. 1143-1154 Downloads
Yen‐Tsung Huang
Discussion on “Causal mediation of semicompeting risks” by Yen‐Tsung Huang pp. 1155-1159 Downloads
Kwun Chuen Gary Chan, Fei Gao and Fan Xia
Discussion on “Causal mediation of semicompeting risks” by Yen‐Tsung Huang pp. 1160-1164 Downloads
Mats J. Stensrud, Jessica G. Young and Torben Martinussen
Discussion on “Causal mediation of semicompeting risks” by Yen‐Tsung Huang pp. 1165-1169 Downloads
Isabel R. Fulcher, Ilya Shpitser, Vanessa Didelez, Kali Zhou and Daniel O. Scharfstein
Rejoinder to “Causal mediation of semicompeting risks” pp. 1170-1174 Downloads
Yen‐Tsung Huang
Semiparametric partial common principal component analysis for covariance matrices pp. 1175-1186 Downloads
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 Downloads
Jing Cheng and Dylan S. Small
A marginal moment matching approach for fitting endemic‐epidemic models to underreported disease surveillance counts pp. 1202-1214 Downloads
Johannes Bracher and Leonhard Held
Nonparametric cluster significance testing with reference to a unimodal null distribution pp. 1215-1226 Downloads
Erika S. Helgeson, David M. Vock and Eric Bair
Nonparametric matrix response regression with application to brain imaging data analysis pp. 1227-1240 Downloads
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 Downloads
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 Downloads
Yiwang Zhou, Peter X.K. Song and Haoda Fu
A class of proportional win‐fractions regression models for composite outcomes pp. 1265-1275 Downloads
Lu Mao and Tuo Wang
Evaluating and improving a matched comparison of antidepressants and bone density pp. 1276-1288 Downloads
Ruoqi Yu
Modeling excess hazard with time‐to‐cure as a parameter pp. 1289-1302 Downloads
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 Downloads
Peijie Wang, Danning Li and Jianguo Sun
Evaluating multiple surrogate markers with censored data pp. 1315-1327 Downloads
Layla Parast, Tianxi Cai and Lu Tian
Modeling sparse longitudinal data on Riemannian manifolds pp. 1328-1341 Downloads
Xiongtao Dai, Zhenhua Lin and Hans‐Georg Müller
A stacked approach for chained equations multiple imputation incorporating the substantive model pp. 1342-1354 Downloads
Lauren J. Beesley and Jeremy M. G. Taylor
Penalized Fieller's confidence interval for the ratio of bivariate normal means pp. 1355-1368 Downloads
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 Downloads
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 Downloads
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 Downloads
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 Downloads
Jiadong Ji, Yong He, Lei Liu and Lei Xie
Receiver operating characteristic curves and confidence bands for support vector machines pp. 1422-1430 Downloads
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 Downloads
Zhenke Wu, Livia Casciola‐Rosen, Antony Rosen and Scott L. Zeger
Using the “Hidden” genome to improve classification of cancer types pp. 1445-1455 Downloads
Saptarshi Chakraborty, Colin B. Begg and Ronglai Shen
Child mortality estimation incorporating summary birth history data pp. 1456-1466 Downloads
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 Downloads
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 Downloads
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 Downloads
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 Downloads
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 Downloads
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 Downloads
Rajarshi Mukherjee
Matrix‐based introduction to multivariate data analysis, by KoheiAdachi 2nd edition. Singapore: Springer Nature, 2020. pp. 457 pp. 1498-1500 Downloads
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 Downloads
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 Downloads
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 Downloads
Yin‐Ju Lai and Chuhsing Kate Hsiao

Volume 77, issue 3, 2021

Approximate Bayesian inference for case‐crossover models pp. 785-795 Downloads
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 Downloads
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 Downloads
Nadja Klein and Michael Stanley Smith
Bayesian compositional regression with structured priors for microbiome feature selection pp. 824-838 Downloads
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 Downloads
Cody Carroll, Hans‐Georg Müller and Alois Kneip
Cluster non‐Gaussian functional data pp. 852-865 Downloads
Qingzhi Zhong, Huazhen Lin and Yi Li
Nonparametric trend estimation in functional time series with application to annual mortality rates pp. 866-878 Downloads
Israel Martínez‐Hernández and Marc G. Genton
Multimodal neuroimaging data integration and pathway analysis pp. 879-889 Downloads
Yi Zhao, Lexin Li and Brian S. Caffo
Regularized matrix data clustering and its application to image analysis pp. 890-902 Downloads
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 Downloads
Brittany Green, Heng Lian, Yan Yu and Tianhai Zu
Poststratification fusion learning in longitudinal data analysis pp. 914-928 Downloads
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 Downloads
Yuhao Deng, Chong You, Yukun Liu, Jing Qin and Xiao‐Hua Zhou
Tailored optimal posttreatment surveillance for cancer recurrence pp. 942-955 Downloads
Rui Chen and Menggang Yu
Analysis of noisy survival data with graphical proportional hazards measurement error models pp. 956-969 Downloads
Li‐Pang Chen and Grace Y. Yi
Estimation of conditional power for cluster‐randomized trials with interval‐censored endpoints pp. 970-983 Downloads
Kaitlyn Cook and Rui Wang
Compositional knockoff filter for high‐dimensional regression analysis of microbiome data pp. 984-995 Downloads
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 Downloads
Fang Fang, Jiwei Zhao, S. Ejaz Ahmed and Annie Qu
Covariate‐driven factorization by thresholding for multiblock data pp. 1011-1023 Downloads
Xing Gao, Sungwon Lee, Gen Li and Sungkyu Jung
Combining primary cohort data with external aggregate information without assuming comparability pp. 1024-1036 Downloads
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 Downloads
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 Downloads
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 Downloads
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 Downloads
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 Downloads
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 Downloads
Di Shu, Jessica G. Young, Sengwee Toh and Rui Wang
Scalable and robust latent trajectory class analysis using artificial likelihood pp. 1118-1128 Downloads
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 Downloads
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 Downloads
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 Downloads
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 Downloads
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 Downloads
Andrew Whiteman

Volume 77, issue 2, 2021

Estimating and inferring the maximum degree of stimulus‐locked time‐varying brain connectivity networks pp. 379-390 Downloads
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 Downloads
Kyoungjae Lee and Xuan Cao
Iterated multisource exchangeability models for individualized inference with an application to mobile sensor data pp. 401-412 Downloads
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 Downloads
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 Downloads
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 Downloads
Suprateek Kundu and Benjamin B. Risk
The impact of misclassification on covariate‐adaptive randomized clinical trials pp. 451-464 Downloads
Tong Wang and Wei Ma
Resampling‐based confidence intervals for model‐free robust inference on optimal treatment regimes pp. 465-476 Downloads
Yunan Wu and Lan Wang
Evaluation of longitudinal surrogate markers pp. 477-489 Downloads
Denis Agniel and Layla Parast
Spatial regression and spillover effects in cluster randomized trials with count outcomes pp. 490-505 Downloads
Karim Anaya‐Izquierdo and Neal Alexander
A constrained single‐index regression for estimating interactions between a treatment and covariates pp. 506-518 Downloads
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 Downloads
Chixiang Chen, Biyi Shen, Aiyi Liu, Rongling Wu and Ming Wang
Nonparametric analysis of nonhomogeneous multistate processes with clustered observations pp. 533-546 Downloads
Giorgos Bakoyannis
Semiparametric estimation of cross‐covariance functions for multivariate random fields pp. 547-560 Downloads
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 Downloads
Ching‐Yun Wang and Xiao Song
Structural factor equation models for causal network construction via directed acyclic mixed graphs pp. 573-586 Downloads
Yan Zhou, Peter X.‐K. Song and Xiaoquan Wen
Optimality of testing procedures for survival data in the nonproportional hazards setting pp. 587-598 Downloads
Andrea Arfè, Brian Alexander and Lorenzo Trippa
Developing and evaluating risk prediction models with panel current status data pp. 599-609 Downloads
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 Downloads
Tonghui Yu, Liming Xiang and Huixia Judy Wang
Two‐group Poisson‐Dirichlet mixtures for multiple testing pp. 622-633 Downloads
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 Downloads
Satoshi Morita, Peter Müller and Hiroyasu Abe
A Bayesian hierarchical model for characterizing the diffusion of new antipsychotic drugs pp. 649-660 Downloads
Chenyang Gu, Haiden Huskamp, Julie Donohue and Sharon‐Lise Normand
Batch Bayesian optimization design for optimizing a neurostimulator pp. 661-674 Downloads
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 Downloads
Carter Allen, Sara E. Benjamin‐Neelon and Brian Neelon
Latent Ornstein‐Uhlenbeck models for Bayesian analysis of multivariate longitudinal categorical responses pp. 689-701 Downloads
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 Downloads
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 Downloads
Kasper Kansanen, Petteri Packalen, Matti Maltamo and Lauri Mehtätalo
Estimating the optimal timing of surgery from observational data pp. 729-739 Downloads
Xiaofei Chen, Daniel F. Heitjan, Gerald Greil and Haekyung Jeon‐Slaughter
Parametric g‐formula implementations for causal survival analyses pp. 740-753 Downloads
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 Downloads
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 Downloads
David Kline and Staci A. Hepler
Interactive web‐based data visualization with R, plotly, and shiny (Carson Sievert) pp. 776-777 Downloads
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 Downloads
Chen Hu

Volume 77, issue 1, 2021

Nonparametric variable importance assessment using machine learning techniques pp. 9-22 Downloads
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 Downloads
Min Lu and Hemant Ishwaran
Rejoinder to “Nonparametric variable importance assessment using machine learning techniques” pp. 28-30 Downloads
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 Downloads
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 Downloads
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 Downloads
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 Downloads
Jean Feng, Scott Emerson and Noah Simon
Analyzing wearable device data using marked point processes pp. 54-66 Downloads
Yuchen Yang and Mei‐Cheng Wang
Case contamination in electronic health records based case‐control studies pp. 67-77 Downloads
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 Downloads
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 Downloads
Tianchen Xu, Ryan T. Demmer and Gen Li
Retrospective versus prospective score tests for genetic association with case‐control data pp. 102-112 Downloads
Yukun Liu, Pengfei Li, Lei Song, Kai Yu and Jing Qin
On computation of semiparametric maximum likelihood estimators with shape constraints pp. 113-124 Downloads
Yudong Wang, Zhi‐Sheng Ye and Hongyuan Cao
A Bayesian nonparametric model for zero‐inflated outcomes: Prediction, clustering, and causal estimation pp. 125-135 Downloads
Arman Oganisian, Nandita Mitra and Jason A. Roy
Bayesian inference of causal effects from observational data in Gaussian graphical models pp. 136-149 Downloads
Federico Castelletti and Guido Consonni
A joint modeling approach for analyzing marker data in the presence of a terminal event pp. 150-161 Downloads
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 Downloads
Janie Coulombe, Erica E. M. Moodie and Robert W. Platt
Dynamic inference in general nested case‐control designs pp. 175-185 Downloads
J. Feifel and D. Dobler
Parameter estimation for discretely observed linear birth‐and‐death processes pp. 186-196 Downloads
A. C. Davison, S. Hautphenne and A. Kraus
Transporting stochastic direct and indirect effects to new populations pp. 197-211 Downloads
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 Downloads
Zhaoyang Tian, Kun Liang and Pengfei Li
Adaptive treatment and robust control pp. 223-236 Downloads
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 Downloads
Marco Alfò, Dankmar Böhning and Irene Rocchetti
Efficient screening of predictive biomarkers for individual treatment selection pp. 249-257 Downloads
Shonosuke Sugasawa and Hisashi Noma
Generalized reliability based on distances pp. 258-270 Downloads
Meng Xu, Philip T. Reiss and Ivor Cribben
Marginal analysis of multiple outcomes with informative cluster size pp. 271-282 Downloads
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 Downloads
Irina Ostrovnaya, Audrey Mauguen, Venkatraman E. Seshan and Colin B. Begg
Ensemble clustering for step data via binning pp. 293-304 Downloads
Ja‐Yoon Jang, Hee‐Seok Oh, Yaeji Lim and Ying Kuen Cheung
Bayesian analysis of survival data with missing censoring indicators pp. 305-315 Downloads
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 Downloads
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 Downloads
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Improving inference for nonlinear state‐space models of animal population dynamics given biased sequential life stage data pp. 352-361 Downloads
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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 Downloads
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