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September 2022, Volume 78, Issue 3
- 1080-1091 Integrative analysis of multiple case‐control studies
by Han Zhang & Lu Deng & William Wheeler & Jing Qin & Kai Yu
- 1092-1105 Distributional independent component analysis for diverse neuroimaging modalities
by Ben Wu & Subhadip Pal & Jian Kang & Ying Guo
- 1106-1108 Discussion on “Distributional independent component analysis for diverse neuroimaging modalities” by Ben Wu, Subhadip Pal, Jian Kang, and Ying Guo
by Heather Shappell & Sean L. Simpson
- 1109-1112 Discussion on “distributional independent component analysis for diverse neuroimaging modalities” by Ben Wu, Subhadip Pal, Jian Kang, and Ying Guo
by Amanda F. Mejia
- 1113-1117 Discussion on “distributional independent component analysis for diverse neuroimaging modalities” by Ben Wu, Subhadip Pal, Jian Kang, and Ying Guo
by Kan Keeratimahat & Thomas E. Nichols
- 1118-1121 Discussion on “distributional independent component analysis for diverse neuroimaging modalities” by Ben Wu, Subhadip Pal, Jian Kang, and Ying Guo
by Beatrijs Moerkerke & Ruth Seurinck
- 1122-1126 Rejoinder to discussions of “distributional independent component analysis for diverse neuroimaging modalities”
by Ben Wu & Subhadip Pal & Jian Kang & Ying Guo
- 1127-1140 Inferring UK COVID‐19 fatal infection trajectories from daily mortality data: Were infections already in decline before the UK lockdowns?
by Simon N. Wood
- 1141-1154 Efficient detection and classification of epigenomic changes under multiple conditions
by Pedro L. Baldoni & Naim U. Rashid & Joseph G. Ibrahim
- 1155-1167 Utilizing stability criteria in choosing feature selection methods yields reproducible results in microbiome data
by Lingjing Jiang & Niina Haiminen & Anna‐Paola Carrieri & Shi Huang & Yoshiki Vázquez‐Baeza & Laxmi Parida & Ho‐Cheol Kim & Austin D. Swafford & Rob Knight & Loki Natarajan
- 1168-1180 Nonparametric estimation in an illness‐death model with component‐wise censoring
by Anne Eaton & Yifei Sun & James Neaton & Xianghua Luo
- 1181-1194 A multiview model for relative and absolute microbial abundances
by Brian D. Williamson & James P. Hughes & Amy D. Willis
- 1195-1208 Parameter inference for a stochastic kinetic model of expanded polyglutamine proteins
by H. F. Fisher & R. J. Boys & C. S. Gillespie & C. J. Proctor & A. Golightly
- 1209-1220 Bayesian analysis of coupled cellular and nuclear trajectories for cell migration
by Saptarshi Chakraborty & Tian Lan & Yiider Tseng & Samuel W.K. Wong
- 1221-1232 Stratified Cox models with time‐varying effects for national kidney transplant patients: A new blockwise steepest ascent method
by Kevin He & Ji Zhu & Jian Kang & Yi Li
- 1233-1243 Quantifying direct and indirect effect for longitudinal mediator and survival outcome using joint modeling approach
by Cheng Zheng & Lei Liu
- 1244-1256 Nonhomogeneous Markov chain for estimating the cumulative risk of multiple false positive screening tests
by Marzieh K Golmakani & Rebecca A Hubbard & Diana L Miglioretti
- 1257-1268 Sample size formula for general win ratio analysis
by Lu Mao & KyungMann Kim & Xinran Miao
- 1269-1270 Handbook of measurement error models, Edited by Grace Y. Yi, Aurore Delaigle, and Paul Gustafson, Boca Raton, FL: Chapman and Hall/CRC, 2021
by Li‐Pang Chen
- 1270-1272 Book Review: Supervised machine learning for text analysis in R by Emil Hvitfeldt and Julia Silge
by Han‐Ming Wu
- 1272-1273 Multivariate data integration using R: Methods and applications with the mixOmics package. Kim‐Anh Lê Cao and Zoe Marie Welham, New York: CRC Press, 2021. https://doi.org/10.1201/9781003026860
by Yuehua Cui
- 1274-1274 Behavior analysis with machine learning using R. Enrique Garcia Ceja. (2022). London; Boca Raton: CRC Press. DOI: 10.1201/9781003203469
by Charlotte Wang
June 2022, Volume 78, Issue 2
- 421-434 Nonparametric estimation of Spearman's rank correlation with bivariate survival data
by Svetlana K. Eden & Chun Li & Bryan E. Shepherd
- 435-447 Joint model for survival and multivariate sparse functional data with application to a study of Alzheimer's Disease
by Cai Li & Luo Xiao & Sheng Luo
- 448-459 Semiparametric estimation of the nonmixture cure model with auxiliary survival information
by Bo Han & Ingrid Van Keilegom & Xiaoguang Wang
- 460-473 Cox regression model under dependent truncation
by Lior Rennert & Sharon X. Xie
- 474-486 Varying coefficient frailty models with applications in single molecular experiments
by Ying Hung & Li‐Hsiang Lin & C. F. Jeff Wu
- 487-498 A generalized robust allele‐based genetic association test
by Lin Zhang & Lei Sun
- 499-511 On polygenic risk scores for complex traits prediction
by Bingxin Zhao & Fei Zou
- 512-523 Information‐incorporated Gaussian graphical model for gene expression data
by Huangdi Yi & Qingzhao Zhang & Cunjie Lin & Shuangge Ma
- 524-535 Gaussian graphical model‐based heterogeneity analysis via penalized fusion
by Mingyang Ren & Sanguo Zhang & Qingzhao Zhang & Shuangge Ma
- 536-547 Bayesian spatial homogeneity pursuit for survival data with an application to the SEER respiratory cancer data
by Lijiang Geng & Guanyu Hu
- 548-559 Geostatistical modeling of positive‐definite matrices: An application to diffusion tensor imaging
by Zhou Lan & Brian J. Reich & Joseph Guinness & Dipankar Bandyopadhyay & Liangsuo Ma & F. Gerard Moeller
- 560-573 Spatial factor modeling: A Bayesian matrix‐normal approach for misaligned data
by Lu Zhang & Sudipto Banerjee
- 574-585 Simultaneous estimation of cluster number and feature sparsity in high‐dimensional cluster analysis
by Yujia Li & Xiangrui Zeng & Chien‐Wei Lin & George C. Tseng
- 586-597 A kernel regression model for panel count data with nonparametric covariate functions
by Yang Wang & Zhangsheng Yu
- 598-611 A model for analyzing clustered occurrence data
by Wen‐Han Hwang & Richard Huggins & Jakub Stoklosa
- 612-623 Sparse linear discriminant analysis for multiview structured data
by Sandra E. Safo & Eun Jeong Min & Lillian Haine
- 624-635 Causal interaction trees: Finding subgroups with heterogeneous treatment effects in observational data
by Jiabei Yang & Issa J. Dahabreh & Jon A. Steingrimsson
- 636-648 Recruitment prediction for multicenter clinical trials based on a hierarchical Poisson–gamma model: Asymptotic analysis and improved intervals
by Rachael Mountain & Chris Sherlock
- 649-659 Global sensitivity analysis of randomized trials with nonmonotone missing binary outcomes: Application to studies of substance use disorders
by Daniel O. Scharfstein & Jon Steingrimsson & Aidan McDermott & Chenguang Wang & Souvik Ray & Aimee Campbell & Edward Nunes & Abigail Matthews
- 660-667 Variance reduction in the inverse probability weighted estimators for the average treatment effect using the propensity score
by Jiangang Liao & Charles Rohde
- 668-678 Regression‐based negative control of homophily in dyadic peer effect analysis
by Lan Liu & Eric Tchetgen Tchetgen
- 679-690 Synthesizing external aggregated information in the presence of population heterogeneity: A penalized empirical likelihood approach
by Ying Sheng & Yifei Sun & Chiung‐Yu Huang & Mi‐Ok Kim
- 691-700 Determination and estimation of optimal quarantine duration for infectious diseases with application to data analysis of COVID‐19
by Ruoyu Wang & Qihua Wang
- 701-715 Small‐sample inference for cluster‐based outcome‐dependent sampling schemes in resource‐limited settings: Investigating low birthweight in Rwanda
by Sara Sauer & Bethany Hedt‐Gauthier & Claudia Rivera‐Rodriguez & Sebastien Haneuse
- 716-729 Pursuing sources of heterogeneity in modeling clustered population
by Yan Li & Chun Yu & Yize Zhao & Weixin Yao & Robert H. Aseltine & Kun Chen
- 730-741 Bayesian data fusion: Probabilistic sensitivity analysis for unmeasured confounding using informative priors based on secondary data
by Leah Comment & Brent A. Coull & Corwin Zigler & Linda Valeri
- 742-753 A Bayesian spatial model for imaging genetics
by Yin Song & Shufei Ge & Jiguo Cao & Liangliang Wang & Farouk S. Nathoo
- 754-765 EMBRACE: An EM‐based bias reduction approach through Copas‐model estimation for quantifying the evidence of selective publishing in network meta‐analysis
by Arielle Marks‐Anglin & Chongliang Luo & Jin Piao & Mary Beth Connolly Gibbons & Christopher H. Schmid & Jing Ning & Yong Chen
- 766-776 Modeling dynamic correlation in zero‐inflated bivariate count data with applications to single‐cell RNA sequencing data
by Zhen Yang & Yen‐Yi Ho
- 777-788 Inverse probability weighted estimators of vaccine effects accommodating partial interference and censoring
by Sujatro Chakladar & Samuel Rosin & Michael G. Hudgens & M. Elizabeth Halloran & John D. Clemens & Mohammad Ali & Michael E. Emch
- 789-797 The Tukey trend test: Multiplicity adjustment using multiple marginal models
by Frank Schaarschmidt & Christian Ritz & Ludwig A. Hothorn
- 798-811 Identifying regions of inhomogeneities in spatial processes via an M‐RA and mixture priors
by Marco H. Benedetti & Veronica J. Berrocal & Naveen N. Narisetty
- 812-812 Correction to "A penalized framework for distributed lag non‐linear models" by Antonio Gasparrini, Fabian Scheipl, Ben Armstrong, and Michael G. Kenward; 73, 938–948, September 2017
by Antonio Gasparrini & Fabian Scheipl & Ben Armstrong & Michael G. Kenward
- 813-815 Bayesian compendium, Marcel van Oijen, Cham: Springer Nature Switzerland AG. 2020. xiv, 204 p
by Sayan Dasgupta
- 815-816 Using R for biostatistics. T. W. MacFarland and J. M. Yates. Springer International Publishing. 2021. ISBN: 978‐3‐030‐62403‐3; 978‐3‐030‐62404‐0 (eBook)
by Shu‐Hui Wen
- 816-817 Predictive analytics: Parametric models for regression and classification using R Ajit C. Tamhane, John Wiley & Sons. 2020. ISBN: 978‐1‐118‐94889‐7; 978‐1‐118‐94890‐3 (ebook)
by Yu‐Jyun Huang
- 817-817 Cure models: Methods, applications, and implementation Yingwei Peng Binbing Yu Boca Raton, FL: Chapman and Hall/CRC, 2021. pp. 268
by Satrajit Roychoudhury
- 819-820 Handbook of meta‐analysis Christopher H. Schmid, Theo Stijnen, and Ian R. White Boca Raton, FL: Chapman and Hall/CRC. 2021. ISBN 9781138106406, pp. 592
by Li‐Pang Chen
March 2022, Volume 78, Issue 1
- 9-23 Robust methods to correct for measurement error when evaluating a surrogate marker
by Layla Parast & Tanya P. Garcia & Ross L. Prentice & Raymond J. Carroll
- 24-34 Two robust tools for inference about causal effects with invalid instruments
by Hyunseung Kang & Youjin Lee & T. Tony Cai & Dylan S. Small
- 35-45 Identifying individual predictive factors for treatment efficacy
by Ariel Alonso & Wim Van der Elst & Lizet Sanchez & Patricia Luaces & Geert Molenberghs
- 46-59 Nonlinear mediation analysis with high‐dimensional mediators whose causal structure is unknown
by Wen Wei Loh & Beatrijs Moerkerke & Tom Loeys & Stijn Vansteelandt
- 60-71 Bayesian group sequential enrichment designs based on adaptive regression of response and survival time on baseline biomarkers
by Yeonhee Park & Suyu Liu & Peter F. Thall & Ying Yuan
- 72-84 A spatial Bayesian latent factor model for image‐on‐image regression
by Cui Guo & Jian Kang & Timothy D. Johnson
- 85-99 Assuming independence in spatial latent variable models: Consequences and implications of misspecification
by Francis K.C. Hui & Nicole A. Hill & A.H. Welsh
- 100-114 Causal inference in high dimensions: A marriage between Bayesian modeling and good frequentist properties
by Joseph Antonelli & Georgia Papadogeorgou & Francesca Dominici
- 115-127 Joint calibrated estimation of inverse probability of treatment and censoring weights for marginal structural models
by Sean Yiu & Li Su
- 128-140 Obtaining optimal cutoff values for tree classifiers using multiple biomarkers
by Yuxin Zhu & Mei‐Cheng Wang
- 141-150 Two‐stage penalized regression screening to detect biomarker–treatment interactions in randomized clinical trials
by Jixiong Wang & Ashish Patel & James M.S. Wason & Paul J. Newcombe
- 151-164 Simultaneous variable selection and estimation for joint models of longitudinal and failure time data with interval censoring
by Fengting Yi & Niansheng Tang & Jianguo Sun
- 165-178 Analysis of clustered interval‐censored data using a class of semiparametric partly linear frailty transformation models
by Chun Yin Lee & Kin Yau Wong & K. F. Lam & Jinfeng Xu
- 179-191 Weight calibration to improve efficiency for estimating pure risks from the additive hazards model with the nested case‐control design
by Yei Eun Shin & Ruth M. Pfeiffer & Barry I. Graubard & Mitchell H. Gail
- 192-201 Restricted mean survival time as a function of restriction time
by Yingchao Zhong & Douglas E. Schaubel
- 202-213 New multivariate tests for assessing covariate balance in matched observational studies
by Hao Chen & Dylan S. Small
- 214-226 Statistical inference for association studies using electronic health records: handling both selection bias and outcome misclassification
by Lauren J. Beesley & Bhramar Mukherjee
- 227-237 Semiparametric imputation using conditional Gaussian mixture models under item nonresponse
by Danhyang Lee & Jae Kwang Kim
- 238-247 Simultaneous confidence intervals for ranks with application to ranking institutions
by Diaa Al Mohamad & Jelle J. Goeman & Erik W. van Zwet
- 248-260 Density estimation for circular data observed with errors
by Marco Di Marzio & Stefania Fensore & Agnese Panzera & Charles C. Taylor
- 261-273 Speeding up Monte Carlo simulations for the adaptive sum of powered score test with importance sampling
by Yangqing Deng & Yinqiu He & Gongjun Xu & Wei Pan
- 274-285 A latent capture history model for digital aerial surveys
by David L. Borchers & Peter Nightingale & Ben C. Stevenson & Rachel M. Fewster
- 286-299 Modelling group movement with behaviour switching in continuous time
by Mu Niu & Fay Frost & Jordan E. Milner & Anna Skarin & Paul G. Blackwell
- 300-312 Bayesian dose regimen assessment in early phase oncology incorporating pharmacokinetics and pharmacodynamics
by Emma Gerard & Sarah Zohar & Hoai‐Thu Thai & Christelle Lorenzato & Marie‐Karelle Riviere & Moreno Ursino
- 313-323 A nonparametric Bayesian model for estimating spectral densities of resting‐state EEG twin data
by Brian Hart & Michele Guindani & Stephen Malone & Mark Fiecas
- 324-336 Simultaneous spatial smoothing and outlier detection using penalized regression, with application to childhood obesity surveillance from electronic health records
by Young‐Geun Choi & Lawrence P. Hanrahan & Derek Norton & Ying‐Qi Zhao
- 337-351 Estimating the optimal individualized treatment rule from a cost‐effectiveness perspective
by Yizhe Xu & Tom H. Greene & Adam P. Bress & Brian C. Sauer & Brandon K. Bellows & Yue Zhang & William S. Weintraub & Andrew E. Moran & Jincheng Shen
- 352-363 A closed max‐t test for multiple comparisons of areas under the ROC curve
by Paul Blanche & Jean‐François Dartigues & Jérémie Riou
- 364-375 Generalized multi‐SNP mediation intersection–union test
by Wujuan Zhong & Toni Darville & Xiaojing Zheng & Jason Fine & Yun Li
- 376-387 Random effects models of lymph node metastases in breast cancer: quantifying the roles of covariates and screening using a continuous growth model
by Gabriel Isheden & Kamila Czene & Keith Humphreys
- 388-398 Power and sample size for observational studies of point exposure effects
by Bonnie E. Shook‐Sa & Michael G. Hudgens
- 399-406 Biased estimation with shared parameter models in the presence of competing dropout mechanisms
by Edward F. Vonesh & Tom Greene
- 407-408 Rejoinder to “Biased Estimation With Shared Parameter Models in the Presence of Competing Dropout Mechanisms”
by Christos Thomadakis & Loukia Meligkotsidou & Nikos Pantazis & Giota Touloumi
- 409-410 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
by Howard H. Chang
- 410-412 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
by Zachary Fusfeld
- 412-413 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
by Marie V. Ozanne
- 414-414 Meta‐analysis: Methods for health and experimental studies: Shahjahan Khan Springer Nature Singapore Pte. Ltd. 2020. pp. 293
by Tugba Akkaya‐Hocagil
- 415-416 Omic association studies with R and bioconductor: Juan R. Gonzalez and Alejandro Caceres Boca Raton, FL: Chapman and Hall/CRC, 2020. pp. 390
by Amber W. Wang
December 2021, Volume 77, Issue 4
- 1143-1154 Causal mediation of semicompeting risks
by Yen‐Tsung Huang
- 1155-1159 Discussion on “Causal mediation of semicompeting risks” by Yen‐Tsung Huang
by Kwun Chuen Gary Chan & Fei Gao & Fan Xia
- 1160-1164 Discussion on “Causal mediation of semicompeting risks” by Yen‐Tsung Huang
by Mats J. Stensrud & Jessica G. Young & Torben Martinussen
- 1165-1169 Discussion on “Causal mediation of semicompeting risks” by Yen‐Tsung Huang
by Isabel R. Fulcher & Ilya Shpitser & Vanessa Didelez & Kali Zhou & Daniel O. Scharfstein
- 1170-1174 Rejoinder to “Causal mediation of semicompeting risks”
by Yen‐Tsung Huang
- 1175-1186 Semiparametric partial common principal component analysis for covariance matrices
by Bingkai Wang & Xi Luo & Yi Zhao & Brian Caffo
- 1187-1201 Semiparametric models and inference for the effect of a treatment when the outcome is nonnegative with clumping at zero
by Jing Cheng & Dylan S. Small
- 1202-1214 A marginal moment matching approach for fitting endemic‐epidemic models to underreported disease surveillance counts
by Johannes Bracher & Leonhard Held
- 1215-1226 Nonparametric cluster significance testing with reference to a unimodal null distribution
by Erika S. Helgeson & David M. Vock & Eric Bair
- 1227-1240 Nonparametric matrix response regression with application to brain imaging data analysis
by Wei Hu & Tianyu Pan & Dehan Kong & Weining Shen
- 1241-1253 Efficient nonparametric inference on the effects of stochastic interventions under two‐phase sampling, with applications to vaccine efficacy trials
by Nima S. Hejazi & Mark J. van der Laan & Holly E. Janes & Peter B. Gilbert & David C. Benkeser
- 1254-1264 Net benefit index: Assessing the influence of a biomarker for individualized treatment rules
by Yiwang Zhou & Peter X.K. Song & Haoda Fu
- 1265-1275 A class of proportional win‐fractions regression models for composite outcomes
by Lu Mao & Tuo Wang
- 1276-1288 Evaluating and improving a matched comparison of antidepressants and bone density
by Ruoqi Yu
- 1289-1302 Modeling excess hazard with time‐to‐cure as a parameter
by Olayidé Boussari & Laurent Bordes & Gaëlle Romain & Marc Colonna & Nadine Bossard & Laurent Remontet & Valérie Jooste
- 1303-1314 A pairwise pseudo‐likelihood approach for left‐truncated and interval‐censored data under the Cox model
by Peijie Wang & Danning Li & Jianguo Sun
- 1315-1327 Evaluating multiple surrogate markers with censored data
by Layla Parast & Tianxi Cai & Lu Tian
- 1328-1341 Modeling sparse longitudinal data on Riemannian manifolds
by Xiongtao Dai & Zhenhua Lin & Hans‐Georg Müller
- 1342-1354 A stacked approach for chained equations multiple imputation incorporating the substantive model
by Lauren J. Beesley & Jeremy M. G. Taylor
- 1355-1368 Penalized Fieller's confidence interval for the ratio of bivariate normal means
by Peng Wang & Siqi Xu & Yi‐Xin Wang & Baolin Wu & Wing Kam Fung & Guimin Gao & Zhijiang Liang & Nianjun Liu
- 1369-1384 Poisson PCA: Poisson measurement error corrected PCA, with application to microbiome data
by Toby Kenney & Hong Gu & Tianshu Huang
- 1385-1396 A random covariance model for bi‐level graphical modeling with application to resting‐state fMRI data
by Lin Zhang & Andrew DiLernia & Karina Quevedo & Jazmin Camchong & Kelvin Lim & Wei Pan
- 1397-1408 Histopathological imaging‐based cancer heterogeneity analysis via penalized fusion with model averaging
by Baihua He & Tingyan Zhong & Jian Huang & Yanyan Liu & Qingzhao Zhang & Shuangge Ma
- 1409-1421 Brain connectivity alteration detection via matrix‐variate differential network model
by Jiadong Ji & Yong He & Lei Liu & Lei Xie
- 1422-1430 Receiver operating characteristic curves and confidence bands for support vector machines
by Daniel J. Luckett & Eric B. Laber & Samer S. El‐Kamary & Cheng Fan & Ravi Jhaveri & Charles M. Perou & Fatma M. Shebl & Michael R. Kosorok
- 1431-1444 A Bayesian approach to restricted latent class models for scientifically structured clustering of multivariate binary outcomes
by Zhenke Wu & Livia Casciola‐Rosen & Antony Rosen & Scott L. Zeger
- 1445-1455 Using the “Hidden” genome to improve classification of cancer types
by Saptarshi Chakraborty & Colin B. Begg & Ronglai Shen
- 1456-1466 Child mortality estimation incorporating summary birth history data
by Katie Wilson & Jon Wakefield
- 1467-1481 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 & Iván Díaz & Alex Luedtke & Jodi Segal & Daniel Scharfstein & Michael Rosenblum
- 1482-1484 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 Michael A. Proschan
- 1485-1488 Discussion of “Improving precision and power in randomized trials for COVID‐19 treatments using covariate adjustment, for binary, ordinal, and time‐to‐event outcomes”
by Min Zhang & Baqun Zhang
- 1489-1491 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
by Lisa M. LaVange
- 1492-1494 Rejoinder: 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 & Iván Díaz & Alex Luedtke & Jodi Segal & Daniel Scharfstein & Michael Rosenblum
- 1495-1498 Replication and evidence factors in observational studies by Paul R.Rosenbaum Boca Raton, FL: Chapman and Hall/CRC, 2021. pp. 276
by Rajarshi Mukherjee
- 1498-1500 Matrix‐based introduction to multivariate data analysis, by KoheiAdachi 2nd edition. Singapore: Springer Nature, 2020. pp. 457
by Lin Liu
- 1500-1502 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
by Bianca N.I. Eskelson
- 1502-1503 Data analysis with RStudio: An easygoing introduction by Franz Kronthaler and Silke Zöllner Berlin, Germany: Springer‐Verlag GmbH, DE, 2021. pp. 131
by Mei‐Hsien Lee
- 1503-1504 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
by Yin‐Ju Lai & Chuhsing Kate Hsiao
September 2021, Volume 77, Issue 3
- 785-795 Approximate Bayesian inference for case‐crossover models
by Alex Stringer & Patrick Brown & Jamie Stafford
- 796-808 A Bayesian adaptive phase I/II clinical trial design with late‐onset competing risk outcomes
by Yifei Zhang & Sha Cao & Chi Zhang & Ick Hoon Jin & Yong Zang
- 809-823 Bayesian variable selection for non‐Gaussian responses: a marginally calibrated copula approach
by Nadja Klein & Michael Stanley Smith
- 824-838 Bayesian compositional regression with structured priors for microbiome feature selection
by Liangliang Zhang & Yushu Shi & Robert R. Jenq & Kim‐Anh Do & Christine B. Peterson
- 839-851 Cross‐component registration for multivariate functional data, with application to growth curves
by Cody Carroll & Hans‐Georg Müller & Alois Kneip
- 852-865 Cluster non‐Gaussian functional data
by Qingzhi Zhong & Huazhen Lin & Yi Li
- 866-878 Nonparametric trend estimation in functional time series with application to annual mortality rates
by Israel Martínez‐Hernández & Marc G. Genton
- 879-889 Multimodal neuroimaging data integration and pathway analysis
by Yi Zhao & Lexin Li & Brian S. Caffo
- 890-902 Regularized matrix data clustering and its application to image analysis
by Xu Gao & Weining Shen & Liwen Zhang & Jianhua Hu & Norbert J. Fortin & Ron D. Frostig & Hernando Ombao
- 903-913 Ultra high‐dimensional semiparametric longitudinal data analysis
by Brittany Green & Heng Lian & Yan Yu & Tianhai Zu
- 914-928 Poststratification fusion learning in longitudinal data analysis
by Lu Tang & Peter X.‐K. Song
- 929-941 Estimation of incubation period and generation time based on observed length‐biased epidemic cohort with censoring for COVID‐19 outbreak in China
by Yuhao Deng & Chong You & Yukun Liu & Jing Qin & Xiao‐Hua Zhou
- 942-955 Tailored optimal posttreatment surveillance for cancer recurrence
by Rui Chen & Menggang Yu
- 956-969 Analysis of noisy survival data with graphical proportional hazards measurement error models
by Li‐Pang Chen & Grace Y. Yi
- 970-983 Estimation of conditional power for cluster‐randomized trials with interval‐censored endpoints
by Kaitlyn Cook & Rui Wang
- 984-995 Compositional knockoff filter for high‐dimensional regression analysis of microbiome data
by Arun Srinivasan & Lingzhou Xue & Xiang Zhan
- 996-1010 A weak‐signal‐assisted procedure for variable selection and statistical inference with an informative subsample
by Fang Fang & Jiwei Zhao & S. Ejaz Ahmed & Annie Qu
- 1011-1023 Covariate‐driven factorization by thresholding for multiblock data
by Xing Gao & Sungwon Lee & Gen Li & Sungkyu Jung
- 1024-1036 Combining primary cohort data with external aggregate information without assuming comparability
by Ziqi Chen & Jing Ning & Yu Shen & Jing Qin
- 1037-1049 Post‐selection inference for changepoint detection algorithms with application to copy number variation data
by Sangwon Hyun & Kevin Z. Lin & Max G'Sell & Ryan J. Tibshirani
- 1050-1060 Maximum likelihood abundance estimation from capture‐recapture data when covariates are missing at random
by Yang Liu & Yukun Liu & Pengfei Li & Lin Zhu
- 1061-1074 Joint penalized spline modeling of multivariate longitudinal data, with application to HIV‐1 RNA load levels and CD4 cell counts
by Lihui Zhao & Tom Chen & Vladimir Novitsky & Rui Wang
- 1075-1088 A batch‐effect adjusted Simon's two‐stage design for cancer vaccine clinical studies
by Chenguang Wang & Zhixin Wang & Gary L. Rosner & Warner K. Huh & Richard B.S. Roden & Sejong Bae
- 1089-1100 Statistical inference for natural language processing algorithms with a demonstration using type 2 diabetes prediction from electronic health record notes
by Brian L. Egleston & Tian Bai & Richard J. Bleicher & Stanford J. Taylor & Michael H. Lutz & Slobodan Vucetic
- 1101-1117 Variance estimation in inverse probability weighted Cox models
by Di Shu & Jessica G. Young & Sengwee Toh & Rui Wang
- 1118-1128 Scalable and robust latent trajectory class analysis using artificial likelihood
by Kari R. Hart & Teng Fei & John J. Hanfelt
- 1129-1129 Statistics for making decisions by Nicholas T. Longford Boca Raton, FL: Chapman and Hall/CRC, 2021. Hard cover. pp. 307. $96
by Yu‐Chung Wei
- 1130-1131 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
by Yu‐Kang Tu
- 1131-1132 Introduction to Data Science: Data Analysis and Algorithms with R, By Rafael Irrizarry Boca Raton, FL: CRC Press, 2020. Hard cover. pp. 711
by Nairanjana Dasgupta
- 1132-1135 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
by Li‐Pang Chen
- 1135-1137 Handbook of neuroimaging data analysis HernandoOmbao, MartinLindquist, WesleyThompson, JohnAston Boca Raton, FL: CRC Press, 2017. Hard cover. pp. 702. 210.00 USD
by Andrew Whiteman
June 2021, Volume 77, Issue 2
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