Biometrics
1999 - 2023
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Volume 70, issue 4, 2014
- Closed-population capture–recapture modeling of samples drawn one at a time pp. 775-782

- Richard J. Barker, Matthew R. Schofield, Janine A. Wright, Alain C. Frantz and Chris Stevens
- Unimodal regression using Bernstein–Schoenberg splines and penalties pp. 783-793

- Claudia Köllmann, Björn Bornkamp and Katja Ickstadt
- Linear mixed function-on-function regression models pp. 794-801

- Wei Wang
- Hierarchical functional data with mixed continuous and binary measurements pp. 802-811

- Haocheng Li, John Staudenmayer and Raymond J. Carroll
- Identifying functional co-activation patterns in neuroimaging studies via poisson graphical models pp. 812-822

- Wenqiong Xue, Jian Kang, F. DuBois Bowman, Tor D. Wager and Jian Guo
- Bayesian semiparametric regression in the presence of conditionally heteroscedastic measurement and regression errors pp. 823-834

- Abhra Sarkar, Bani K. Mallick and Raymond J. Carroll
- Covariate measurement error correction methods in mediation analysis with failure time data pp. 835-844

- Shanshan Zhao and Ross L. Prentice
- Testing goodness-of-fit for the proportional hazards model based on nested case–control data pp. 845-851

- Wenbin Lu, Mengling Liu and Yi-Hau Chen
- Confounder selection via penalized credible regions pp. 852-861

- Ander Wilson and Brian J. Reich
- Score test variable screening pp. 862-871

- Sihai Dave Zhao and Yi Li
- Meta-analysis based variable selection for gene expression data pp. 872-880

- Quefeng Li, Sijian Wang, Chiang-Ching Huang, Menggang Yu and Jun Shao
- More powerful genetic association testing via a new statistical framework for integrative genomics pp. 881-890

- Sihai D. Zhao, T. Tony Cai and Hongzhe Li
- Identifying optimal biomarker combinations for treatment selection via a robust kernel method pp. 891-901

- Ying Huang and Youyi Fong
- Regression analysis of correlated ordinal data using orthogonalized residuals pp. 902-909

- J. Perin, J. S. Preisser, C. Phillips and B. Qaqish
- Semiparametric estimation in generalized linear mixed models with auxiliary covariates: A pairwise likelihood approach pp. 910-919

- Li Liu and Liming Xiang
- Robust inference in the negative binomial regression model with an application to falls data pp. 920-931

- William H. Aeberhard, Eva Cantoni and Stephane Heritier
- A spectral method for spatial downscaling pp. 932-942

- Brian J. Reich, Howard H. Chang and Kristen M. Foley
- A sparse ising model with covariates pp. 943-953

- Jie Cheng, Elizaveta Levina, Pei Wang and Ji Zhu
- Rotation-based multiple testing in the multivariate linear model pp. 954-961

- Aldo Solari, Livio Finos and Jelle J. Goeman
- Maximum likelihood estimation for model M t,α for capture–recapture data with misidentification pp. 962-971

- R. T. R. Vale, R. M. Fewster, E. L. Carroll and N. J. Patenaude
- A one-step-ahead pseudo-DIC for comparison of Bayesian state-space models pp. 972-980

- R. B. Millar and S. McKechnie
- A Bayesian nonparametric model for spatially distributed multivariate binary data with application to a multidrug-resistant tuberculosis (MDR-TB) study pp. 981-992

- Jian Kang, Nanhua Zhang and Ran Shi
- Bayesian nowcasting during the STEC O104:H4 outbreak in Germany, 2011 pp. 993-1002

- Michael Höhle and Matthias an der Heiden
- Bayesian design of superiority clinical trials for recurrent events data with applications to bleeding and transfusion events in myelodyplastic syndrome pp. 1003-1013

- Ming-Hui Chen, Joseph G. Ibrahim, Donglin Zeng, Kuolung Hu and Catherine Jia
- Estimation of treatment effects in matched-pair cluster randomized trials by calibrating covariate imbalance between clusters pp. 1014-1022

- Zhenke Wu, Constantine E. Frangakis, Thomas A. Louis and Daniel O. Scharfstein
- Robust meta-analytic-predictive priors in clinical trials with historical control information pp. 1023-1032

- Heinz Schmidli, Sandro Gsteiger, Satrajit Roychoudhury, Anthony O'Hagan, David Spiegelhalter and Beat Neuenschwander
- Power calculation for comparing diagnostic accuracies in a multi-reader, multi-test design pp. 1033-1041

- Eunhee Kim, Zheng Zhang, Youdan Wang and Donglin Zeng
- A serial risk score approach to disease classification that accounts for accuracy and cost pp. 1042-1051

- Dat Huynh, Oliver Laeyendecker and Ron Brookmeyer
- Modeling longitudinal data with a random change point and no time-zero: Applications to inference and prediction of the labor curve pp. 1052-1060

- Alexander C. McLain and Paul S. Albert
- CHEN, JEHUA. Statistical Methods for QTL Mapping. Chapman and Hall/CRC, Boca Raton, FL pp. 1063-1063

- Yun Joo Yoo
Volume 70, issue 3, 2014
- Modeling and testing for joint association using a genetic random field model pp. 471-479

- Zihuai He, Min Zhang, Xiaowei Zhan and Qing Lu
- Integrative analysis of prognosis data on multiple cancer subtypes pp. 480-488

- Jin Liu, Jian Huang, Yawei Zhang, Qing Lan, Nathaniel Rothman, Tongzhang Zheng and Shuangge Ma
- Evaluating marker-guided treatment selection strategies pp. 489-499

- Roland A. Matsouaka, Junlong Li and Tianxi Cai
- Bounds on causal interactions for binary outcomes pp. 500-505

- A. Sjölander, W. Lee, H. Källberg and Y. Pawitan
- Estimating peer effects in longitudinal dyadic data using instrumental variables pp. 506-515

- A. James O'Malley, Felix Elwert, J. Niels Rosenquist, Alan M. Zaslavsky and Nicholas A. Christakis
- Optimally weighted L-super-2 distance for functional data pp. 516-525

- Huaihou Chen, Philip T. Reiss and Thaddeus Tarpey
- Warped functional analysis of variance pp. 526-535

- Daniel Gervini and Patrick A. Carter
- A statistical approach to set classification by feature selection with applications to classification of histopathology images pp. 536-545

- Sungkyu Jung and Xingye Qiao
- Probability-enhanced sufficient dimension reduction for binary classification pp. 546-555

- Seung Jun Shin, Yichao Wu, Hao Helen Zhang and Yufeng Liu
- An evaluation of inferential procedures for adaptive clinical trial designs with pre-specified rules for modifying the sample size pp. 556-567

- Gregory P. Levin, Sarah C. Emerson and Scott S. Emerson
- A pathway EM-algorithm for estimating vaccine efficacy with a non-monotone validation set pp. 568-578

- Yang Yang, M. Elizabeth Halloran, Yanjun Chen and Eben Kenah
- Accelerated intensity frailty model for recurrent events data pp. 579-587

- Bo Liu, Wenbin Lu and Jiajia Zhang
- Maximum likelihood estimation of semiparametric mixture component models for competing risks data pp. 588-598

- Sangbum Choi and Xuelin Huang
- Semiparametric transformation models for semicompeting survival data pp. 599-607

- Huazhen Lin, Ling Zhou, Chunhong Li and Yi Li
- Combined estimating equation approaches for semiparametric transformation models with length-biased survival data pp. 608-618

- Yu-Jen Cheng and Chiung-Yu Huang
- Hypothesis testing for an extended cox model with time-varying coefficients pp. 619-628

- Takumi Saegusa, Chongzhi Di and Ying Qing Chen
- Individual prediction regions for multivariate longitudinal data with small samples pp. 629-638

- D. Concordet and R. Servien
- Parametric bootstrap methods for testing multiplicative terms in GGE and AMMI models pp. 639-647

- Johannes Forkman and Hans-Peter Piepho
- A pseudo-penalized quasi-likelihood approach to the spatial misalignment problem with non-normal data pp. 648-660

- Kenneth K. Lopiano, Linda J. Young and Carol A. Gotway
- Efficient pairwise composite likelihood estimation for spatial-clustered data pp. 661-670

- Yun Bai, Jian Kang and Peter X.-K. Song
- An improved nonparametric lower bound of species richness via a modified good–turing frequency formula pp. 671-682

- Chun-Huo Chiu, Yi-Ting Wang, Bruno A. Walther and Anne Chao
- Bayesian estimation of the phylogeography of African gorillas with genome-differentiated population trees pp. 683-694

- Joungyoun Kim and Bret Larget
- Combining biomarkers to optimize patient treatment recommendations pp. 695-707

- Chaeryon Kang, Holly Janes and Ying Huang
- Discussion of “Combining biomarkers to optimize patient treatment recommendation” pp. 707-710

- Eric B. Laber, Anastasios A. Tsiatis, Marie Davidian and Shannon T. Holloway
- Discussion pp. 710-713

- Lu Tian
- Discussion of combining biomarkers to optimize patient treatment recommendations pp. 713-716

- Ying-Qi Zhao and Michael R. Kosorok
- Discussion of “Combining biomarkers to optimize patient treatment recommendations” by Chaeryon Kang, Holly Janes, and Ying Huang pp. 716-719

- Menggang Yu and Quefeng Li
- Rejoinder: Combining biomarkers to optimize patient treatment recommendations pp. 719-720

- Chaeryon Kang, Holly Janes and Ying Huang
- Model selection criterion for causal parameters in structural mean models based on a quasi-likelihood pp. 721-730

- Masataka Taguri, Yutaka Matsuyama and Yasuo Ohashi
- Assessing effects of cholera vaccination in the presence of interference pp. 731-741

- Carolina Perez-Heydrich, Michael G. Hudgens, M. Elizabeth Halloran, John D. Clemens, Mohammad Ali and Michael E. Emch
- Estimating the effectiveness in HIV prevention trials by incorporating the exposure process: Application to HPTN 035 data pp. 742-750

- Jingyang Zhang and Elizabeth R. Brown
- Cardiovascular event risk dynamics over time in older patients on dialysis: A generalized multiple-index varying coefficient model approach pp. 751-761

- Jason P. Estes, Danh V. Nguyen, Lorien S. Dalrymple, Yi Mu and Damla Şentürk
- Partial correlation matrix estimation using ridge penalty followed by thresholding and re-estimation pp. 762-770

- Min Jin Ha and Wei Sun
- Randomized Phase II Cancer Clinical Trials by JUNG, SIN-HO pp. 771-772

- Jae Won Lee
- Statistical Methods for Handling Incomplete Data by KIM, JAE KWANG and SHAO, JUN pp. 772-773

- Myunghee Cho Paik
- Biosimilars: Design and Analysis of Follow-on Biologics by CHOW, SHEIN-CHUNG pp. 773-774

- Hyonggin An
Volume 70, issue 2, 2014
- Sir Ronald A. Fisher and the International Biometric Society pp. 259-265

- Lynne Billard
- Fisher in Adelaide pp. 266-269

- Oliver Mayo
- Stratified doubly robust estimators for the average causal effect pp. 270-277

- Satoshi Hattori and Masayuki Henmi
- Identification of causal effects in the presence of nonignorable missing outcome values pp. 278-288

- Alessandra Mattei, Fabrizia Mealli and Barbara Pacini
- Test the reliability of doubly robust estimation with missing response data pp. 289-298

- Baojiang Chen and Jing Qin
- Semiparametric approach for non-monotone missing covariates in a parametric regression model pp. 299-311

- Samiran Sinha, Krishna K. Saha and Suojin Wang
- A penalized EM algorithm incorporating missing data mechanism for Gaussian parameter estimation pp. 312-322

- Lin S. Chen, Ross L. Prentice and Pei Wang
- Using imputation and mixture model approaches to integrate multi-state capture–recapture models with assignment information pp. 323-334

- Zhi Wen, Kenneth H. Pollock, James D. Nichols, Peter M. Waser and Weihua Cao
- Semiparametric analysis of incomplete current status outcome data under transformation models pp. 335-345

- Chi-Chung Wen and Yi-Hau Chen
- Estimation of stage duration distributions and mortality under repeated cohort censuses pp. 346-355

- Jonas Knape, Kent M. Daane and Perry de Valpine
- Ultrahigh dimensional time course feature selection pp. 356-365

- Peirong Xu, Lixing Zhu and Yi Li
- Evaluation of image registration spatial accuracy using a Bayesian hierarchical model pp. 366-377

- Suyu Liu, Ying Yuan, Richard Castillo, Thomas Guerrero and Valen E. Johnson
- Matching on-the-fly: Sequential allocation with higher power and efficiency pp. 378-388

- Adam Kapelner and Abba Krieger
- Simple benchmark for complex dose finding studies pp. 389-397

- Ying Kuen Cheung
- Calibration using constrained smoothing with applications to mass spectrometry data pp. 398-408

- Xingdong Feng, Nell Sedransk and Jessie Q. Xia
- Assessing the significance of global and local correlations under spatial autocorrelation: A nonparametric approach pp. 409-418

- Júlia Viladomat, Rahul Mazumder, Alex McInturff, Douglas J. McCauley and Trevor Hastie
- A Bayesian localized conditional autoregressive model for estimating the health effects of air pollution pp. 419-429

- Duncan Lee, Alastair Rushworth and Sujit K. Sahu
- Bayesian hidden Markov models to identify RNA–protein interaction sites in PAR-CLIP pp. 430-440

- Jonghyun Yun, Tao Wang and Guanghua Xiao
- Viral suppression in HIV studies: Combining times to suppression and rebound pp. 441-448

- Natalia A. Gouskova, Stephen R. Cole, Joseph J. Eron and Jason P. Fine
- Methods for observed-cluster inference when cluster size is informative: A review and clarifications pp. 449-456

- Shaun R. Seaman, Menelaos Pavlou and Andrew J. Copas
- Inference for reaction networks using the linear noise approximation pp. 457-466

- Paul Fearnhead, Vasilieos Giagos and Chris Sherlock
- Understanding Advanced Statistical Methods by WESTFALL, P. H. and HENNING, K. S. S pp. 467-468

- Sungho Won
- Theory of Drug Development by HOLMGREN, E. B pp. 467-467

- Byung-Ho Nam
- Analysis of Mixed Data by de LEON, A. R. and CHOUGH, K. C pp. 468-469

- Taesung Park
Volume 70, issue 1, 2014
- Parametric likelihood inference for interval censored competing risks data pp. 1-9

- Michael G. Hudgens, Chenxi Li and Jason P. Fine
- Estimation of time-dependent association for bivariate failure times in the presence of a competing risk pp. 10-20

- Jing Ning and Karen Bandeen-Roche
- Semiparametric analysis of linear transformation models with covariate measurement errors pp. 21-32

- Samiran Sinha and Yanyuan Ma
- A semiparametric approach to simultaneous covariance estimation for bivariate sparse longitudinal data pp. 33-43

- Kiranmoy Das and Michael J. Daniels
- Likelihood-based analysis of longitudinal data from outcome-related sampling designs pp. 44-52

- John M. Neuhaus, Alastair J. Scott, Christopher J. Wild, Yannan Jiang, Charles E. McCulloch and Ross Boylan
- Set-valued dynamic treatment regimes for competing outcomes pp. 53-61

- Eric B. Laber, Daniel J. Lizotte and Bradley Ferguson
- Fully Bayesian inference under ignorable missingness in the presence of auxiliary covariates pp. 62-72

- M.J. Daniels, C. Wang and B.H. Marcus
- Bayesian model selection in complex linear systems, as illustrated in genetic association studies pp. 73-83

- Xiaoquan Wen
- A Bayesian extension of the hypergeometric test for functional enrichment analysis pp. 84-94

- Jing Cao and Song Zhang
- A Bayesian approach to the analysis of quantal bioassay studies using nonparametric mixture models pp. 95-102

- Kassandra Fronczyk and Athanasios Kottas
- A hybrid method to estimate the minimum effective dose for monotone and non-monotone dose–response relationships pp. 103-109

- Martin J. Wolfsegger, Georg Gutjahr, Werner Engl and Thomas Jaki
- Fast forward selection for generalized estimating equations with a large number of predictor variables pp. 110-120

- Jakub Stoklosa, Heloise Gibb and David I. Warton
- Source localization with MEG data: A beamforming approach based on covariance thresholding pp. 121-131

- Jian Zhang, Chao Liu and Gary Green
- A variational Bayes spatiotemporal model for electromagnetic brain mapping pp. 132-143

- F. S. Nathoo, A. Babul, A. Moiseev, N. Virji-Babul and M. F. Beg
- Modeling the impact of hepatitis C viral clearance on end-stage liver disease in an HIV co-infected cohort with targeted maximum likelihood estimation pp. 144-152

- Mireille E. Schnitzer, Erica E.M. Moodie, Mark J. van der Laan, Robert W. Platt and Marina B. Klein
- Variable selection and prediction using a nested, matched case-control study: Application to hospital acquired pneumonia in stroke patients pp. 153-163

- Jing Qian, Seyedmehdi Payabvash, André Kemmling, Michael H. Lev, Lee H. Schwamm and Rebecca A. Betensky
- Estimating acute air pollution health effects from cohort study data pp. 164-174

- Adam A. Szpiro, Lianne Sheppard, Sara D. Adar and Joel D. Kaufman
- Efficient logistic regression designs under an imperfect population identifier pp. 175-184

- Paul S. Albert, Aiyi Liu and Tonja Nansel
- Semiparametric Bayesian commensurate survival model for post-market medical device surveillance with non-exchangeable historical data pp. 185-191

- Thomas A. Murray, Brian P. Hobbs, Theodore C. Lystig and Bradley P. Carlin
- Accelerated hazards model based on parametric families generalized with Bernstein polynomials pp. 192-201

- Yuhui Chen, Timothy Hanson and Jiajia Zhang
- Regression for skewed biomarker outcomes subject to pooling pp. 202-211

- Emily M. Mitchell, Robert H. Lyles, Amita K. Manatunga, Michelle Danaher, Neil J. Perkins and Enrique F. Schisterman
- Construction of confidence regions in the ROC space after the estimation of the optimal Youden index-based cut-off point pp. 212-223

- Leonidas E. Bantis, Christos T. Nakas and Benjamin Reiser
- An evaluation of independent component analyses with an application to resting-state fMRI pp. 224-236

- Benjamin B. Risk, David S. Matteson, David Ruppert, Ani Eloyan and Brian S. Caffo
- Hierarchical dose–response modeling for high-throughput toxicity screening of environmental chemicals pp. 237-246

- Ander Wilson, David M. Reif and Brian J. Reich
- Estimating marginal properties of quantitative real-time PCR data using nonlinear mixed models pp. 247-254

- Daniel Gerhard, Melanie Bremer and Christian Ritz
- Survival Analysis in Medicine and Genetics by LI, JIALIANG and MA, SHUANGGE pp. 255-256

- Seungyeoun Lee
- Bayesian Methods in Health Economics by BAIO, GIANLUCA pp. 256-256

- Man-Suk Oh
- Methods of Statistical Model Estimation by HILBE, JOSEPH M. and ROBINSON, ANDREW P pp. 257-257

- Jae-kwang Kim
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