Biometrics

1999 - 2023

From The International Biometric Society
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Volume 73, issue 4, 2017

A generalized Fellner‐Schall method for smoothing parameter optimization with application to Tweedie location, scale and shape models pp. 1071-1081

Simon N. Wood and Matteo Fasiolo

Efficient Bayesian hierarchical functional data analysis with basis function approximations using Gaussian–Wishart processes pp. 1082-1091

Jingjing Yang, Dennis D. Cox, Jong Soo Lee, Peng Ren and Taeryon Choi

Pointwise influence matrices for functional‐response regression pp. 1092-1101

Philip T. Reiss, Lei Huang, Pei‐Shien Wu, Huaihou Chen and Stan Colcombe

Controlling the false discoveries in LASSO pp. 1102-1110

Hanwen Huang

Outcome‐adaptive lasso: Variable selection for causal inference pp. 1111-1122

Susan M. Shortreed and Ashkan Ertefaie

A general instrumental variable framework for regression analysis with outcome missing not at random pp. 1123-1131

Eric J. Tchetgen Tchetgen and Kathleen E. Wirth

Doubly robust estimation of generalized partial linear models for longitudinal data with dropouts pp. 1132-1139

Huiming Lin, Bo Fu, Guoyou Qin and Zhongyi Zhu

Instrumental variables estimation of exposure effects on a time‐to‐event endpoint using structural cumulative survival models pp. 1140-1149

Torben Martinussen, Stijn Vansteelandt, Eric J. Tchetgen Tchetgen and David M. Zucker

Joint modeling of longitudinal, recurrent events and failure time data for survivor's population pp. 1150-1160

Qing Cai, Mei‐Cheng Wang and Kwun Chuen Gary Chan

Semiparametric estimation of the accelerated failure time model with partly interval‐censored data pp. 1161-1168

Fei Gao, Donglin Zeng and Dan‐Yu Lin

Augmented estimation for t‐year survival with censored regression models pp. 1169-1178

Yu Zheng and Tianxi Cai

Parametric modeling of quantile regression coefficient functions with censored and truncated data pp. 1179-1188

Paolo Frumento and Matteo Bottai

Modeling and analyzing respondent‐driven sampling as a counting process pp. 1189-1198

Yakir Berchenko, Jonathan D. Rosenblatt and Simon D. W. Frost

A general statistical framework for subgroup identification and comparative treatment scoring pp. 1199-1209

Shuai Chen, Lu Tian, Tianxi Cai and Menggang Yu

Weighted pseudolikelihood for SNP set analysis with multiple secondary outcomes in case‐control genetic association studies pp. 1210-1220

Tamar Sofer, Elizabeth D. Schifano, David C. Christiani and Xihong Lin

Learning gene regulatory networks from next generation sequencing data pp. 1221-1230

Bochao Jia, Suwa Xu, Guanghua Xiao, Vishal Lamba and Faming Liang

Estimating time‐varying directed gene regulation networks pp. 1231-1242

Yunlong Nie, LiangLiang Wang and Jiguo Cao

Groupwise envelope models for imaging genetic analysis pp. 1243-1253

Yeonhee Park, Zhihua Su and Hongtu Zhu

Analysis of multiple diverse phenotypes via semiparametric canonical correlation analysis pp. 1254-1265

Denis Agniel and Tianxi Cai

A model for paired‐multinomial data and its application to analysis of data on a taxonomic tree pp. 1266-1278

Pixu Shi and Hongzhe Li

Nonparametric Bayesian covariate‐adjusted estimation of the Youden index pp. 1279-1288

Vanda Inácio de Carvalho, Miguel de Carvalho and Adam J. Branscum

Design and monitoring of multi‐arm multi‐stage clinical trials pp. 1289-1299

Pranab Ghosh, Lingyun Liu, P. Senchaudhuri, Ping Gao and Cyrus Mehta

Simulation‐based hypothesis testing of high dimensional means under covariance heterogeneity pp. 1300-1310

Jinyuan Chang, Chao Zheng, Wen‐Xin Zhou and Wen Zhou

Second‐order quasi‐likelihood for spatial point processes pp. 1311-1320

Chong Deng, Yongtao Guan, Rasmus P. Waagepetersen and Jingfei Zhang

Hidden Markov models for extended batch data pp. 1321-1331

Laura L. E. Cowen, Panagiotis Besbeas, Byron J. T. Morgan and Carl J. Schwarz

Stagewise generalized estimating equations with grouped variables pp. 1332-1342

Gregory Vaughan, Robert Aseltine, Kun Chen and Jun Yan

Penalized nonlinear mixed effects model to identify biomarkers that predict disease progression pp. 1343-1354

Huaihou Chen, Donglin Zeng and Yuanjia Wang

Bayesian population finding with biomarkers in a randomized clinical trial pp. 1355-1365

Satoshi Morita and Peter Müller

A simple correction to completer analyses and improvement on baseline observation carried forward pp. 1366-1378

David Petroff

On the multiple imputation variance estimator for control‐based and delta‐adjusted pattern mixture models pp. 1379-1387

Yongqiang Tang

Parametric overdispersed frailty models for current status data pp. 1388-1400

Steven Abrams, Marc Aerts, Geert Molenberghs and Niel Hens

Accelerated failure time models for semi‐competing risks data in the presence of complex censoring pp. 1401-1412

Kyu Ha Lee, Virginie Rondeau and Sebastien Haneuse

Joint modeling of zero‐inflated panel count and severity outcomes pp. 1413-1423

E. Juarez‐Colunga, G. L. Silva and C. B. Dean

Sensitivity analysis for matched pair analysis of binary data: From worst case to average case analysis pp. 1424-1432

Raiden Hasegawa and Dylan Small

Incorporating covariates into integrated factor analysis of multi‐view data pp. 1433-1442

Gen Li and Sungkyu Jung

Bayesian regression for group testing data pp. 1443-1452

Christopher S. McMahan, Joshua M. Tebbs, Timothy E. Hanson and Christopher R. Bilder

A fast small‐sample kernel independence test for microbiome community‐level association analysis pp. 1453-1463

Xiang Zhan, Anna Plantinga, Ni Zhao and Michael C. Wu

BRADLEY EFRON AND TREVOR HASTIE. Computer Age Statistical Inference. Cambridge: Cambridge University Press pp. 1464-1465

Jeremy M. G. Taylor

JULIAN J. FARAWAY. Extending the Linear Model with R: Generalized Linear, Mixed Effects, and Nonparametric Regression Models, 2nd edition. Boca Raton: CRC Press pp. 1465-1466

Andrzej Galecki

YIN BUN CHEUNG. Statistical Analysis of Human Growth and Development. Boca Raton: CRC Press pp. 1466-1467

Johanna Straubinger

C. D. COMBS, JOHN A. SOKOLOWSKI and CATHERINE M. BANKS. The Digital Patient: Advancing Healthcare, Research, and Education. Hoboken: Wiley. CHANDAN K. REDDY and CHARU C. AGGARWAL. Healthcare Data Analytics. Boca Raton: CRC Press pp. 1467-1468

Ulrich Mansmann

RICHARD M. HEIBERGER and BURT HOLLAND. Statistical Analysis and Data Display. Heidelberg: Springer pp. 1468-1469

Martin Goros

STEPHEN W. LOONEY and JOSEPH L. HAGAN. Analysis of Biomarker Data: A Practical Guide. Hoboken: Wiley pp. 1468-1468

Holly Janes

SIMON MUNZERT, CHRISTIAN RUBBA, PETER MEISSNER, and DOMINIC NYHUIS. Automated Data Collection with R: A Practical Guide to Web Scraping and Text Mining. Hoboken: Wiley pp. 1469-1469

Katharina Selig

KEN KLEINMAN and NICHOLAS J. HORTON. SAS and R: Data Management, Statistical Analysis, and Graphics. Boca Raton: CRC Press pp. 1470-1470

Xulei Liu

Volume 73, issue 3, 2017

A risk-based measure of time-varying prognostic discrimination for survival models pp. 725-734

C. Jason Liang and Patrick J. Heagerty

Discussion of “A risk-based measure of time-varying prognostic discrimination for survival models,” by C. Jason Liang and Patrick J. Heagerty pp. 735-738

H. Michael and L. Tian

Discussion of “A risk-based measure of time-varying prognostic discrimination for survival models,” by C. Jason Liang and Patrick J. Heagerty pp. 739-741

Thomas Alexander Gerds and Martin Schumacher

Discussion of “A risk-based measure of time-varying prognostic discrimination for survival models,” by C. Jason Liang and Patrick J. Heagerty pp. 742-744

Layla Parast and Carolyn M. Rutter

Rejoinder to discussions on: A risk-based measure of time-varying prognostic discrimination for survival models pp. 745-748

C. Jason Liang and Patrick J. Heagerty

A space-time skew-t model for threshold exceedances pp. 749-758

Samuel A. Morris, Brian J. Reich, Emeric Thibaud and Daniel Cooley

Modeling nonstationarity in space and time pp. 759-768

Lyndsay Shand and Bo Li

On joint estimation of Gaussian graphical models for spatial and temporal data pp. 769-779

Zhixiang Lin, Tao Wang, Can Yang and Hongyu Zhao

Hypothesis testing of matrix graph model with application to brain connectivity analysis pp. 780-791

Yin Xia and Lexin Li

A Dirichlet-tree multinomial regression model for associating dietary nutrients with gut microorganisms pp. 792-801

Tao Wang and Hongyu Zhao

Parametric functional principal component analysis pp. 802-810

Peijun Sang, Liangliang Wang and Jiguo Cao

Statistical significance for hierarchical clustering pp. 811-821

Patrick K. Kimes, Yufeng Liu, David Neil Hayes and James Stephen Marron

Pearson's chi-square test and rank correlation inferences for clustered data pp. 822-834

Joanna H. Shih and Michael P. Fay

Proportional hazards model with a change point for clustered event data pp. 835-845

Yu Deng, Donglin Zeng, Jinying Zhao and Jianwen Cai

Selection of effects in Cox frailty models by regularization methods pp. 846-856

Andreas Groll, Trevor Hastie and Gerhard Tutz

Semiparametric regression analysis of interval-censored competing risks data pp. 857-865

Lu Mao, Dan-Yu Lin and Donglin Zeng

On estimation of time-dependent attributable fraction from population-based case-control studies pp. 866-875

Wei Zhao, Ying Qing Chen and Li Hsu

Sequence robust association test for familial data pp. 876-884

Wei Dai, Ming Yang, Chaolong Wang and Tianxi Cai

Estimation of the relatedness coefficients from biallelic markers, application in plant mating designs pp. 885-894

Fabien Laporte, Alain Charcosset and Tristan Mary-Huard

Conditional estimation in two-stage adaptive designs pp. 895-904

Per Broberg and Frank Miller

Bayesian response-adaptive designs for basket trials pp. 905-915

Steffen Ventz, William T. Barry, Giovanni Parmigiani and Lorenzo Trippa

Maximin optimal designs for cluster randomized trials pp. 916-926

Sheng Wu, Weng Kee Wong and Catherine M. Crespi

Optimum designs for non-linear mixed effects models in the presence of covariates pp. 927-937

Barbara Bogacka, Mahbub A. H. M. Latif, Steven G. Gilmour and Kuresh Youdim

A penalized framework for distributed lag non-linear models pp. 938-948

Antonio Gasparrini, Fabian Scheipl, Ben Armstrong and Michael G. Kenward

Estimating varying coefficients for partial differential equation models pp. 949-959

Xinyu Zhang, Jiguo Cao and Raymond J. Carroll

A generalized Levene's scale test for variance heterogeneity in the presence of sample correlation and group uncertainty pp. 960-971

David Soave and Lei Sun

Order-restricted inference for means with missing values pp. 972-980

Heng Wang and Ping-Shou Zhong

Direct estimation for adaptive treatment length policies: Methods and application to evaluating the effect of delayed PEG insertion pp. 981-989

Xin Lu and Brent A. Johnson

Combining item response theory with multiple imputation to equate health assessment questionnaires pp. 990-998

Chenyang Gu and Roee Gutman

A multi-dimensional functional principal components analysis of EEG data pp. 999-1009

Kyle Hasenstab, Aaron Scheffler, Donatello Telesca, Catherine A. Sugar, Shafali Jeste, Charlotte DiStefano and Damla Şentürk

Estimation and testing problems in auditory neuroscience via clustering pp. 1010-1017

Youngdeok Hwang, Samantha Wright and Bret M. Hanlon

Bayesian genome- and epigenome-wide association studies with gene level dependence pp. 1018-1028

Eric F. Lock and David B. Dunson

Visualizations for genetic assignment analyses using the saddlepoint approximation method pp. 1029-1041

L. F. McMillan and R. M. Fewster

Improving efficiency of parameter estimation in case-cohort studies with multivariate failure time data pp. 1042-1052

Ying Yan, Haibo Zhou and Jianwen Cai

WILLIAM F. ROSENBERGER, JOHN M. LACHIN. Randomization in Clinical Trials: Theory and Practice, 2-super-nd edition. Hoboken: John Wiley & Sons pp. 1054-1055

John Crowley

SHIGEYUKI MATSUI, MARC BUYSE, RICHARD SIMON, EDS. Design and Analysis of Clinical Trials for Predictive Medicine. Boca Raton: CRC Press pp. 1055-1057

Orestis A. Panagiotou

DIPAK K. DEY, JUN YAN, EDS. Extreme Value Modeling and Risk Analysis: Methods and Applications. Boca Raton: CRC Press pp. 1057-1058

Dan Cooley

LISA CHASAN-TABER. Writing Dissertation and Grant Proposals: Epidemiology, Preventive Medicine and Biostatistics. Boca Raton: CRC Press pp. 1058-1058

Dianne Finkelstein

PETER BUEHLMANN, PETROS DRINEAS, MICHAEL KANE, MARK VAN DER LAAN. Handbook of Big Data. Boca Raton: CRC Press pp. 1058-1059

Torsten Hothorn

TRIVELLORE RAGHUNATHAN. Missing Data Analysis in Practice. Boca Raton: CRC Press pp. 1059-1060

Thomas R. Belin

ALAN AGRESTI. Foundations of Linear and Generalized Linear Models. Hoboken: Wiley pp. 1060-1061

Goeran Kauermann

Volume 73, issue 2, 2017

A subgroup cluster-based Bayesian adaptive design for precision medicine pp. 367-377

Wentian Guo, Yuan Ji and Daniel V. T. Catenacci

Sequential multiple assignment randomization trials with enrichment design pp. 378-390

Ying Liu, Yuanjia Wang and Donglin Zeng

Greedy outcome weighted tree learning of optimal personalized treatment rules pp. 391-400

Ruoqing Zhu, Ying-Qi Zhao, Guanhua Chen, Shuangge Ma and Hongyu Zhao

A framework for Bayesian nonparametric inference for causal effects of mediation pp. 401-409

Chanmin Kim, Michael J. Daniels, Bess H. Marcus and Jason A. Roy

Model averaged double robust estimation pp. 410-421

Matthew Cefalu, Francesca Dominici, Nils Arvold and Giovanni Parmigiani

An adaptive Mantel–Haenszel test for sensitivity analysis in observational studies pp. 422-430

Paul R. Rosenbaum and Dylan S. Small

Inference in randomized trials with death and missingness pp. 431-440

Chenguang Wang, Daniel O. Scharfstein, Elizabeth Colantuoni, Timothy D. Girard and Ying Yan

Generalized semiparametric varying-coefficient model for longitudinal data with applications to adaptive treatment randomizations pp. 441-451

Li Qi, Yanqing Sun and Peter B. Gilbert

Model-robust inference for continuous threshold regression models pp. 452-462

Youyi Fong, Chongzhi Di, Ying Huang and Peter B. Gilbert

Semiparametric time-to-event modeling in the presence of a latent progression event pp. 463-472

John D. Rice and Alex Tsodikov

On standardized relative survival pp. 473-482

Peter Sasieni and Adam R. Brentnall

Survival model construction guided by fit and predictive strength pp. 483-494

Cécile Chauvel and John O'Quigley

Residual-based model diagnosis methods for mixture cure models pp. 495-505

Yingwei Peng and Jeremy M. G. Taylor

Quantile association for bivariate survival data pp. 506-516

Ruosha Li, Yu Cheng, Qingxia Chen and Jason Fine

Assessing quantile prediction with censored quantile regression models pp. 517-528

Ruosha Li and Limin Peng

Structured Ordinary Least Squares: A Sufficient Dimension Reduction approach for regressions with partitioned predictors and heterogeneous units pp. 529-539

Yang Liu, Francesca Chiaromonte and Bing Li

Screening and clustering of sparse regressions with finite non-Gaussian mixtures pp. 540-550

Jian Zhang

Hypothesis testing in functional linear models pp. 551-561

Yu-Ru Su, Chong-Zhi Di and Li Hsu

Multiple testing with heterogeneous multinomial distributions pp. 562-570

Joshua Habiger, David Watts and Michael Anderson

A semiparametric model for vQTL mapping pp. 571-581

Chuan Hong, Yang Ning, Peng Wei, Ying Cao and Yong Chen

Integrative genetic risk prediction using non-parametric empirical Bayes classification pp. 582-592

Sihai Dave Zhao

Distance sampling detection functions: 2D or not 2D? pp. 593-602

David Louis Borchers and Martin James Cox

Bayesian variable selection for post-analytic interrogation of susceptibility loci pp. 603-614

Siying Chen, Sara Nunez, Muredach P. Reilly and Andrea S. Foulkes

A Bayesian integrative approach for multi-platform genomic data: A kidney cancer case study pp. 615-624

Thierry Chekouo, Francesco C. Stingo, James D. Doecke and Kim-Anh Do

A Bayesian hierarchical model for prediction of latent health states from multiple data sources with application to active surveillance of prostate cancer pp. 625-634

Rebecca Yates Coley, Aaron J. Fisher, Mufaddal Mamawala, Herbert Ballentine Carter, Kenneth J. Pienta and Scott L. Zeger

Estimation of the optimal regime in treatment of prostate cancer recurrence from observational data using flexible weighting models pp. 635-645

Jincheng Shen, Lu Wang and Jeremy M. G. Taylor

Estimation of diagnostic accuracy of a combination of continuous biomarkers allowing for conditional dependence between the biomarkers and the imperfect reference-test pp. 646-655

Leandro García Barrado, Els Coart and Tomasz Burzykowski

Hierarchical group testing for multiple infections pp. 656-665

Peijie Hou, Joshua M. Tebbs, Christopher R. Bilder and Christopher S. McMahan

A joint modeling approach for multivariate survival data with random length pp. 666-677

Shuling Liu, Amita K. Manatunga, Limin Peng and Michele Marcus

Multi-parameter regression survival modeling: An alternative to proportional hazards pp. 678-686

K. Burke and G. MacKenzie

Testing violations of the exponential assumption in cancer clinical trials with survival endpoints pp. 687-695

Gang Han, Michael J. Schell, Heping Zhang, Daniel Zelterman, Lajos Pusztai, Kerin Adelson and Christos Hatzis

Alternating logistic regressions with improved finite sample properties pp. 696-705

Jamie Perin and John S. Preisser

Reader reaction on estimation of treatment effects in all-comers randomized clinical trials with a predictive marker pp. 706-708

Edward L. Korn and Boris Freidlin

JOHN M. CHAMBERS. Extending R. Boca Raton: CRC Press pp. 709-710

Bill Venables

ROBERT E. KASS, URI T. EDEN, EMERY N. BROWN. Analysis of Neural Data. New York: Springer Science + Business Media pp. 710-713

D. Andrew Brown

ALESSIO FARCOMENI, LUCA GRECO. Robust Methods for Data Reduction. Boca Raton: CRC Press pp. 713-714

Luis Angel García Escudero

DANIEL COMMENGES, HELENE JACQMIN-GADDA. Dynamical Biostatistical Models. Boca Raton: CRC Press pp. 714-715

Shuai Chen and Menggang Yu

THORSTEN WIEGAND, KIRK A. MOLONEY. Handbook of Spatial Point-Pattern Analysis in Ecology. Boca Raton: CRC Press pp. 715-715

Michael Matiu

GERHARD TUTZ. Regression for Categorical Data. Cambridge: Cambridge University Press pp. 715-716

Torsten Hothorn

Volume 73, issue 1, 2017

Convex biclustering pp. 10-19

Eric C. Chi, Genevera I. Allen and Richard G. Baraniuk

Toward an objective and reproducible model choice via variable selection deviation pp. 20-30

Wenjing Yang and Yuhong Yang

Comparing large covariance matrices under weak conditions on the dependence structure and its application to gene clustering pp. 31-41

Jinyuan Chang, Wen Zhou, Wen-Xin Zhou and Lan Wang

A statistical method for detecting differentially expressed SNVs based on next-generation RNA-seq data pp. 42-51

Rong Fu, Pei Wang, Weiping Ma, Ayumu Taguchi, Chee-Hong Wong, Qing Zhang, Adi Gazdar, Samir M. Hanash, Qinghua Zhou, Hua Zhong and Ziding Feng

A random effect model for reconstruction of spatial chromatin structure pp. 52-62

Jincheol Park and Shili Lin

Diagnosing misspecification of the random-effects distribution in mixed models pp. 63-71

Reza Drikvandi, Geert Verbeke and Geert Molenberghs

Joint partially linear model for longitudinal data with informative drop-outs pp. 72-82

Sehee Kim, Donglin Zeng and Jeremy M. G. Taylor

On longitudinal prediction with time-to-event outcome: Comparison of modeling options pp. 83-93

Marlena Maziarz, Patrick Heagerty, Tianxi Cai and Yingye Zheng

Multiple imputation for cure rate quantile regression with censored data pp. 94-103

Yuanshan Wu and Guosheng Yin

Nonparametric analysis of competing risks data with event category missing at random pp. 104-113

Natalia A. Gouskova, Feng-Chang Lin and Jason P. Fine

Efficient estimation for accelerated failure time model under case-cohort and nested case-control sampling pp. 114-123

Suhyun Kang, Wenbin Lu and Mengling Liu

Doubly robust estimator for net survival rate in analyses of cancer registry data pp. 124-133

Sho Komukai and Satoshi Hattori

Estimating the average treatment effect on survival based on observational data and using partly conditional modeling pp. 134-144

Qi Gong and Douglas E. Schaubel

Adaptive contrast weighted learning for multi-stage multi-treatment decision-making pp. 145-155

Yebin Tao and Lu Wang

Alternative measures of between-study heterogeneity in meta-analysis: Reducing the impact of outlying studies pp. 156-166

Lifeng Lin, Haitao Chu and James S. Hodges

Petersen estimator, Chapman adjustment, list effects, and heterogeneity pp. 167-173

Chang Xuan Mao, Ruochen Huang and Sijia Zhang

Robustifying Bayesian nonparametric mixtures for count data pp. 174-184

Antonio Canale and Igor Prünster

The LZIP: A Bayesian latent factor model for correlated zero-inflated counts pp. 185-196

Brian Neelon and Dongjun Chung

Likelihood ratio tests for a dose-response effect using multiple nonlinear regression models pp. 197-205

Georg Gutjahr and Björn Bornkamp

On the combination of c- and D-optimal designs: General approaches and applications in dose–response studies pp. 206-213

Tim Holland-Letz

Ordinal probability effect measures for group comparisons in multinomial cumulative link models pp. 214-219

Alan Agresti and Maria Kateri

Sufficient dimension reduction for censored predictors pp. 220-231

Diego Tomassi, Liliana Forzani, Efstathia Bura and Ruth Pfeiffer

Multivariate Bayesian variable selection exploiting dependence structure among outcomes: Application to air pollution effects on DNA methylation pp. 232-241

Kyu Ha Lee, Mahlet G. Tadesse, Andrea A. Baccarelli, Joel Schwartz and Brent A. Coull

Adaptive prior weighting in generalized regression pp. 242-251

Leonhard Held and Rafael Sauter

Nonparametric inference on quantile lost lifespan pp. 252-259

Lauren Balmert and Jong-Hyeon Jeong

Tumor dormancy and frailty models: A novel approach pp. 260-270

Paola M. V. Rancoita, Morten Valberg, Romano Demicheli, Elia Biganzoli and Clelia Di Serio

Modeling of successive cancer risks in Lynch syndrome families in the presence of competing risks using copulas pp. 271-282

Yun-Hee Choi, Laurent Briollais, Aung K. Win, John Hopper, Dan Buchanan, Mark Jenkins and Lajmi Lakhal-Chaieb

Time series modeling of pathogen-specific disease probabilities with subsampled data pp. 283-293

Leigh Fisher, Jon Wakefield, Cici Bauer and Steve Self

Dynamic models for estimating the effect of HAART on CD4 in observational studies: Application to the Aquitaine Cohort and the Swiss HIV Cohort Study pp. 294-304

Mélanie Prague, Daniel Commenges, Jon Michael Gran, Bruno Ledergerber, Jim Young, Hansjakob Furrer and Rodolphe Thiébaut

Using the SAEM algorithm for mechanistic joint models characterizing the relationship between nonlinear PSA kinetics and survival in prostate cancer patients pp. 305-312

Solène Desmée, France Mentré, Christine Veyrat-Follet, Bernard Sébastien and Jérémie Guedj

Hidden Markov latent variable models with multivariate longitudinal data pp. 313-323

Xinyuan Song, Yemao Xia and Hongtu Zhu

Clustering multivariate functional data with phase variation pp. 324-333

Juhyun Park and Jeongyoun Ahn

Assessment of DPOAE test-retest difference curves via hierarchical Gaussian processes pp. 334-343

Junshu Bao, Timothy Hanson, Garnett P. McMillan and Kristin Knight

Detecting rare and common haplotype–environment interaction under uncertainty of gene–environment independence assumption pp. 344-355

Yuan Zhang, Shili Lin and Swati Biswas

STEPHEN BURGESS, SIMON G. THOMPSON. Mendelian Randomization: Methods for Using Genetic Variants in Causal Estimation. Boca Raton: CRC Press pp. 356-356

John Thompson

TIE-HUA NG. Noninferiority Testing in Clinical Trials: Issues and Challenges. Boca Raton: CRC Press pp. 357-357

Sonja Grill

MW-L CHEUNG. Meta-analysis: A Structural Equation Modeling Approach. New York: Wiley pp. 357-358

Suzanne Jak

DANIEL ZELTERMAN, Applied Multivariate Statistics with R. Heidelberg: Springer pp. 358-359

Donna Pauler Ankerst