Biometrics

1999 - 2023

From The International Biometric Society
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Volume 71, issue 3, 2015

Bayesian function‐on‐function regression for multilevel functional data pp. 563-574

Mark J. Meyer, Brent A. Coull, Francesco Versace, Paul Cinciripini and Jeffrey S. Morris

Bayesian modeling and analysis for gradients in spatiotemporal processes pp. 575-584

Harrison Quick, Sudipto Banerjee and Bradley P. Carlin

Bayesian nonlinear model selection for gene regulatory networks pp. 585-595

Yang Ni, Francesco C. Stingo and Veerabhadran Baladandayuthapani

An exposure‐weighted score test for genetic associations integrating environmental risk factors pp. 596-605

Summer S. Han, Philip S. Rosenberg, Arpita Ghosh, Maria Teresa Landi, Neil E. Caporaso and Nilanjan Chatterjee

Set‐based tests for genetic association in longitudinal studies pp. 606-615

Zihuai He, Min Zhang, Seunggeun Lee, Jennifer A. Smith, Xiuqing Guo, Walter Palmas, Sharon L. R. Kardia, Ana V. Diez Roux and Bhramar Mukherjee

A moving blocks empirical likelihood method for longitudinal data pp. 616-624

Jin Qiu and Lang Wu

Quantile regression with a change‐point model for longitudinal data: An application to the study of cognitive changes in preclinical alzheimer's disease pp. 625-635

Chenxi Li, N. Maritza Dowling and Rick Chappell

Doubly‐robust dynamic treatment regimen estimation via weighted least squares pp. 636-644

Michael P. Wallace and Erica E. M. Moodie

Regularized outcome weighted subgroup identification for differential treatment effects pp. 645-653

Yaoyao Xu, Menggang Yu, Ying‐Qi Zhao, Quefeng Li, Sijian Wang and Jun Shao

Accounting for uncertainty in confounder and effect modifier selection when estimating average causal effects in generalized linear models pp. 654-665

Chi Wang, Francesca Dominici, Giovanni Parmigiani and Corwin Matthew Zigler

Estimation of covariate‐specific time‐dependent ROC curves in the presence of missing biomarkers pp. 666-676

Shanshan Li and Yang Ning

Additive gamma frailty models with applications to competing risks in related individuals pp. 677-686

Frank Eriksson and Thomas Scheike

The proportional odds cumulative incidence model for competing risks pp. 687-695

Frank Eriksson, Jianing Li, Thomas Scheike and Mei‐Jie Zhang

Using cumulative sums of martingale residuals for model checking in nested case‐control studies pp. 696-703

Ørnulf Borgan and Ying Zhang

The direct integral method for confidence intervals for the ratio of two location parameters pp. 704-713

Yanqing Wang, Suojin Wang and Raymond J. Carroll

Adjusting for population shifts and covariates in space–time interaction tests pp. 714-720

Carl P. Schmertmann

Mixture regression models for closed population capture–recapture data pp. 721-730

Fodé Tounkara and Louis‐Paul Rivest

The group exponential lasso for bi‐level variable selection pp. 731-740

Patrick Breheny

Multiple testing for neuroimaging via hidden Markov random field pp. 741-750

Hai Shu, Bin Nan and Robert Koeppe

Bayesian hierarchical regression on clearance rates in the presence of “lag” and “tail” phases with an application to malaria parasites pp. 751-759

Colin B. Fogarty, Michael P. Fay, Jennifer A. Flegg, Kasia Stepniewska, Rick M. Fairhurst and Dylan S. Small

Bayesian path specific frailty models for multi‐state survival data with applications pp. 760-771

Mário de Castro, Ming‐Hui Chen and Yuanye Zhang

Nonparametric discrete survival function estimation with uncertain endpoints using an internal validation subsample pp. 772-781

Jarcy Zee and Sharon X. Xie

Penalized regression for interval‐censored times of disease progression: Selection of HLA markers in psoriatic arthritis pp. 782-791

Ying Wu and Richard J. Cook

Predictive classification of correlated targets with application to detection of metastatic cancer using functional CT imaging pp. 792-802

Yuan Wang, Brian P. Hobbs, Jianhua Hu, Chaan S. Ng and Kim‐Anh Do

A Bayesian model for the identification of differentially expressed genes in Daphnia magna exposed to munition pollutants pp. 803-811

Alberto Cassese, Michele Guindani, Philipp Antczak, Francesco Falciani and Marina Vannucci

Equivalence of kernel machine regression and kernel distance covariance for multidimensional phenotype association studies pp. 812-820

Wen‐Yu Hua and Debashis Ghosh

Multivariate longitudinal data analysis with mixed effects hidden Markov models pp. 821-831

Jesse D. Raffa and Joel A. Dubin

Testing for independence in J×K contingency tables with complex sample survey data pp. 832-840

Stuart R. Lipsitz, Garrett M. Fitzmaurice, Debajyoti Sinha, Nathanael Hevelone, Edward Giovannucci and Jim C. Hu

Statistical monitoring of the hand, foot and mouth disease in China pp. 841-850

Jingnan Zhang, Yicheng Kang, Yang Yang and Peihua Qiu

Continuous versus group sequential analysis for post‐market drug and vaccine safety surveillance pp. 851-858

I. R. Silva and M. Kulldorff

A note on the empirical likelihood confidence band for hazards ratio with covariate adjustment pp. 859-563

Shihong Zhu, Yifan Yang and Mai Zhou

Rejoinder to “A note on the empirical likelihood confidence band for hazards ratio with covariate adjustment” pp. 859-563

Bin Dong and David Matthews

Bayesian networks with examples in R pp. 864-865

Taeryon Choi

Ding‐Geng Chen, and Karl E. Peace, Applied meta‐analysis with R. CRC Press pp. 864-865

Mira Park

Volume 71, issue 2, 2015

On Bayesian estimation of marginal structural models pp. 279-288

Olli Saarela, David A. Stephens, Erica E. M. Moodie and Marina B. Klein

Discussion of “On Bayesian Estimation of Marginal Structural Models” pp. 288-291

Michael R. Elliott and Roderick J. Little

Discussion of “On Bayesian Estimation of Marginal Structural Models” pp. 291-293

Paul Gustafson

Discussion of “On Bayesian Estimation of Marginal Structural Models” pp. 293-296

Alessandra Mattei and Fabrizia Mealli

Discussion of “On Bayesian estimation of marginal structural models” pp. 296-299

James M. Robins, Miguel A. Hernán and Larry Wasserman

Rejoinder “On Bayesian estimation of marginal structural models” pp. 299-301

Olli Saarela, David A. Stephens, Erica E. M. Moodie and Marina B. Klein

Causal estimation using semiparametric transformation models under prevalent sampling pp. 302-312

Yu-Jen Cheng and Mei-Cheng Wang

Spatial extended hazard model with application to prostate cancer survival pp. 313-322

Li Li, Timothy Hanson and Jiajia Zhang

R-vine models for spatial time series with an application to daily mean temperature pp. 323-332

Tobias Michael Erhardt, Claudia Czado and Ulf Schepsmeier

Classification of longitudinal data through a semiparametric mixed-effects model based on lasso-type estimators pp. 333-343

Ana Arribas-Gil, Rolando De la Cruz, Emilie Lebarbier and Cristian Meza

Generalized multilevel function-on-scalar regression and principal component analysis pp. 344-353

Jeff Goldsmith, Vadim Zipunnikov and Jennifer Schrack

Multivariate sparse group lasso for the multivariate multiple linear regression with an arbitrary group structure pp. 354-363

Yanming Li, Bin Nan and Ji Zhu

Nonparametric estimation of transition probabilities in the non-Markov illness-death model: A comparative study pp. 364-375

Jacobo de Uña-Álvarez and Luís Meira-Machado

An attraction–repulsion point process model for respiratory syncytial virus infections pp. 376-385

Joshua Goldstein, Murali Haran, Ivan Simeonov, John Fricks and Francesca Chiaromonte

Incorporating founder virus information in vaccine field trials pp. 386-396

Dean Follmann and Chiung-Yu Huang

Identification of homogeneous and heterogeneous variables in pooled cohort studies pp. 397-403

Xin Cheng, Wenbin Lu and Mengling Liu

Generalized t-statistic for two-group classification pp. 404-416

Osamu Komori, Shinto Eguchi and John B. Copas

Testing effect of a drug using multiple nested models for the dose–response pp. 417-427

C. Baayen, P. Hougaard and C. B. Pipper

miRNA–target gene regulatory networks: A Bayesian integrative approach to biomarker selection with application to kidney cancer pp. 428-438

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

A direct method to evaluate the time-dependent predictive accuracy for biomarkers pp. 439-449

Weining Shen, Jing Ning and Ying Yuan

Sequential multiple assignment randomized trial (SMART) with adaptive randomization for quality improvement in depression treatment program pp. 450-459

Ying Kuen Cheung, Bibhas Chakraborty and Karina W. Davidson

Improving efficiency in clinical trials using auxiliary information: Application of a multi-state cure model pp. 460-468

A. S. C. Conlon, J. M. G. Taylor and D. J. Sargent

Longitudinal clinical trials with adaptive choice of follow-up time pp. 469-477

Neal Jeffries and Nancy L. Geller

Detecting clinically meaningful biomarkers with repeated measurements: An illustration with electronic health records pp. 478-486

Benjamin A. Goldstein, Themistocles Assimes, Wolfgang C. Winkelmayer and Trevor Hastie

Joint modeling of cross-sectional health outcomes and longitudinal predictors via mixtures of means and variances pp. 487-497

Bei Jiang, Michael R. Elliott, Mary D. Sammel and Naisyin Wang

Direct likelihood inference and sensitivity analysis for competing risks regression with missing causes of failure pp. 498-507

Margarita Moreno-Betancur, Grégoire Rey and Aurélien Latouche

Multilevel quantile function modeling with application to birth outcomes pp. 508-519

Luke B. Smith, Brian J. Reich, Amy H. Herring, Peter H. Langlois and Montserrat Fuentes

Nonparametric inference in hidden Markov models using P-splines pp. 520-528

Roland Langrock, Thomas Kneib, Alexander Sohn and Stacy L. DeRuiter

A penalized likelihood approach for investigating gene–drug interactions in pharmacogenetic studies pp. 529-537

Megan L. Neely, Howard D. Bondell and Jung-Ying Tzeng

A unification of models for meta-analysis of diagnostic accuracy studies without a gold standard pp. 538-547

Yulun Liu, Yong Chen and Haitao Chu

Confidence intervals for intraclass correlation coefficients in a nonlinear dose–response meta-analysis pp. 548-555

Nino Demetrashvili and Edwin R. Van den Heuvel

Reader reaction on the generalized Kruskal–Wallis test for genetic association studies incorporating group uncertainty pp. 556-557

Baolin Wu and Weihua Guan

Clinical trials with missing data pp. 558-559

Juwon Song

Carpenter, J. R., and Kenward, M. G. Multiple Imputation and its Application. Wiley, Hoboken, New Jersey pp. 559-560

Sohee Park

JEONG, J.-H. Statistical Inference on Residual Life. Springer, New York pp. 560-561

Seungyeoun Lee

Volume 71, issue 1, 2015

Causal mediation analysis with multiple mediators pp. 1-14

R. M. Daniel, B. L. De Stavola, S. N. Cousens and S. Vansteelandt

On the relationship between the causal-inference and meta-analytic paradigms for the validation of surrogate endpoints pp. 15-24

Ariel Alonso, Wim Van der Elst, Geert Molenberghs, Marc Buyse and Tomasz Burzykowski

Estimation of treatment effects in all-comers randomized clinical trials with a predictive marker pp. 25-32

Yuki Choai and Shigeyuki Matsui

Minimum clinically important difference in medical studies pp. 33-41

A. S. Hedayat, Junhui Wang and Tu Xu

Case-base methods for studying vaccination safety pp. 42-52

Olli Saarela and James A. Hanley

Group variable selection via convex log-exp-sum penalty with application to a breast cancer survivor study pp. 53-62

Zhigeng Geng, Sijian Wang, Menggang Yu, Patrick O. Monahan, Victoria Champion and Grace Wahba

Sparse kernel machine regression for ordinal outcomes pp. 63-70

Yuanyuan Shen, Katherine P. Liao and Tianxi Cai

Regression analysis of mixed recurrent-event and panel-count data with additive rate models pp. 71-79

Liang Zhu, Hui Zhao, Jianguo Sun, Wendy Leisenring and Leslie L. Robison

A discrete time event-history approach to informative drop-out in mixed latent Markov models with covariates pp. 80-89

Francesco Bartolucci and Alessio Farcomeni

A joint model for multistate disease processes and random informative observation times, with applications to electronic medical records data pp. 90-101

Jane M. Lange, Rebecca A. Hubbard, Lurdes Y. T. Inoue and Vladimir N. Minin

Quantifying and comparing dynamic predictive accuracy of joint models for longitudinal marker and time-to-event in presence of censoring and competing risks pp. 102-113

Paul Blanche, Cécile Proust-Lima, Lucie Loubère, Claudine Berr, Jean-François Dartigues and Hélène Jacqmin-Gadda

Disease risk estimation by combining case–control data with aggregated information on the population at risk pp. 114-121

Xiaohui Chang, Rasmus Waagepetersen, Herbert Yu, Xiaomei Ma, Theodore R. Holford, Rong Wang and Yongtao Guan

Instrumental variable additive hazards models pp. 122-130

Jialiang Li, Jason Fine and Alan Brookhart

On the selection of ordinary differential equation models with application to predator-prey dynamical models pp. 131-138

Xinyu Zhang, Jiguo Cao and Raymond J. Carroll

An alternative approach to confidence interval estimation for the win ratio statistic pp. 139-145

Xiaodong Luo, Hong Tian, Surya Mohanty and Wei Yann Tsai

Combining one-sample confidence procedures for inference in the two-sample case pp. 146-156

Michael P. Fay, Michael A. Proschan and Erica Brittain

Testing the mean matrix in high-dimensional transposable data pp. 157-166

Anestis Touloumis, Simon Tavaré and John C. Marioni

Spatial variable selection methods for investigating acute health effects of fine particulate matter components pp. 167-177

Laura F. Boehm Vock, Brian J. Reich, Montserrat Fuentes and Francesca Dominici

Simultaneous variable selection for joint models of longitudinal and survival outcomes pp. 178-187

Zangdong He, Wanzhu Tu, Sijian Wang, Haoda Fu and Zhangsheng Yu

Bayesian nonparametric estimation of targeted agent effects on biomarker change to predict clinical outcome pp. 188-197

Rebecca Graziani, Michele Guindani and Peter F. Thall

Model choice problems using approximate Bayesian computation with applications to pathogen transmission data sets pp. 198-207

Xing Ju Lee, Christopher C. Drovandi and Anthony N. Pettitt

A Bayesian approach to estimate the biomass of anchovies off the coast of Perú pp. 208-217

Zaida C. Quiroz, Marcos O. Prates and Håvard Rue

Bayesian designs and the control of frequentist characteristics: A practical solution pp. 218-226

Steffen Ventz and Lorenzo Trippa

On the analysis of hybrid designs that combine group- and individual-level data pp. 227-236

E. Smoot and S. Haneuse

Computational aspects of N-mixture models pp. 237-246

Emily B. Dennis, Byron J.T. Morgan and Martin S. Ridout

Structured functional principal component analysis pp. 247-257

Haochang Shou, Vadim Zipunnikov, Ciprian M. Crainiceanu and Sonja Greven

Estimating the size of populations at high risk for HIV using respondent-driven sampling data pp. 258-266

Mark S. Handcock, Krista J. Gile and Corinne M. Mar

Reader reaction to “A robust method for estimating optimal treatment regimes” by Zhang et al. (2012) pp. 267-273

Jeremy M. G. Taylor, Wenting Cheng and Jared C. Foster

Randomized response-adaptive designs in clinical trials pp. 274-277

Seung-Ho Kang