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Content
September 2017, Volume 73, Issue 3
- 1029-1041 Visualizations for genetic assignment analyses using the saddlepoint approximation method
by L. F. McMillan & R. M. Fewster - 1042-1052 Improving efficiency of parameter estimation in case-cohort studies with multivariate failure time data
by Ying Yan & Haibo Zhou & Jianwen Cai - 1054-1055 WILLIAM F. ROSENBERGER , JOHN M. LACHIN . Randomization in Clinical Trials: Theory and Practice, 2-super-nd edition . Hoboken : John Wiley & Sons
by John Crowley - 1055-1057 SHIGEYUKI MATSUI , MARC BUYSE , RICHARD SIMON , EDS. Design and Analysis of Clinical Trials for Predictive Medicine . Boca Raton : CRC Press
by Orestis A. Panagiotou - 1057-1058 DIPAK K. DEY , JUN YAN , EDS. Extreme Value Modeling and Risk Analysis: Methods and Applications . Boca Raton : CRC Press
by Dan Cooley - 1058-1058 LISA CHASAN-TABER . Writing Dissertation and Grant Proposals: Epidemiology, Preventive Medicine and Biostatistics . Boca Raton : CRC Press
by Dianne Finkelstein - 1058-1059 PETER BUEHLMANN , PETROS DRINEAS , MICHAEL KANE , MARK VAN DER LAAN . Handbook of Big Data . Boca Raton : CRC Press
by Torsten Hothorn - 1059-1060 TRIVELLORE RAGHUNATHAN . Missing Data Analysis in Practice . Boca Raton : CRC Press
by Thomas R. Belin - 1060-1061 ALAN AGRESTI . Foundations of Linear and Generalized Linear Models . Hoboken : Wiley
by Goeran Kauermann
June 2017, Volume 73, Issue 2
- 367-377 A subgroup cluster-based Bayesian adaptive design for precision medicine
by Wentian Guo & Yuan Ji & Daniel V. T. Catenacci - 378-390 Sequential multiple assignment randomization trials with enrichment design
by Ying Liu & Yuanjia Wang & Donglin Zeng - 391-400 Greedy outcome weighted tree learning of optimal personalized treatment rules
by Ruoqing Zhu & Ying-Qi Zhao & Guanhua Chen & Shuangge Ma & Hongyu Zhao - 401-409 A framework for Bayesian nonparametric inference for causal effects of mediation
by Chanmin Kim & Michael J. Daniels & Bess H. Marcus & Jason A. Roy - 410-421 Model averaged double robust estimation
by Matthew Cefalu & Francesca Dominici & Nils Arvold & Giovanni Parmigiani - 422-430 An adaptive Mantel–Haenszel test for sensitivity analysis in observational studies
by Paul R. Rosenbaum & Dylan S. Small - 431-440 Inference in randomized trials with death and missingness
by Chenguang Wang & Daniel O. Scharfstein & Elizabeth Colantuoni & Timothy D. Girard & Ying Yan - 441-451 Generalized semiparametric varying-coefficient model for longitudinal data with applications to adaptive treatment randomizations
by Li Qi & Yanqing Sun & Peter B. Gilbert - 452-462 Model-robust inference for continuous threshold regression models
by Youyi Fong & Chongzhi Di & Ying Huang & Peter B. Gilbert - 463-472 Semiparametric time-to-event modeling in the presence of a latent progression event
by John D. Rice & Alex Tsodikov - 473-482 On standardized relative survival
by Peter Sasieni & Adam R. Brentnall - 483-494 Survival model construction guided by fit and predictive strength
by Cécile Chauvel & John O'Quigley - 495-505 Residual-based model diagnosis methods for mixture cure models
by Yingwei Peng & Jeremy M. G. Taylor - 506-516 Quantile association for bivariate survival data
by Ruosha Li & Yu Cheng & Qingxia Chen & Jason Fine - 517-528 Assessing quantile prediction with censored quantile regression models
by Ruosha Li & Limin Peng - 529-539 Structured Ordinary Least Squares: A Sufficient Dimension Reduction approach for regressions with partitioned predictors and heterogeneous units
by Yang Liu & Francesca Chiaromonte & Bing Li - 540-550 Screening and clustering of sparse regressions with finite non-Gaussian mixtures
by Jian Zhang - 551-561 Hypothesis testing in functional linear models
by Yu-Ru Su & Chong-Zhi Di & Li Hsu - 562-570 Multiple testing with heterogeneous multinomial distributions
by Joshua Habiger & David Watts & Michael Anderson - 571-581 A semiparametric model for vQTL mapping
by Chuan Hong & Yang Ning & Peng Wei & Ying Cao & Yong Chen - 582-592 Integrative genetic risk prediction using non-parametric empirical Bayes classification
by Sihai Dave Zhao - 593-602 Distance sampling detection functions: 2D or not 2D?
by David Louis Borchers & Martin James Cox - 603-614 Bayesian variable selection for post-analytic interrogation of susceptibility loci
by Siying Chen & Sara Nunez & Muredach P. Reilly & Andrea S. Foulkes - 615-624 A Bayesian integrative approach for multi-platform genomic data: A kidney cancer case study
by Thierry Chekouo & Francesco C. Stingo & James D. Doecke & Kim-Anh Do - 625-634 A Bayesian hierarchical model for prediction of latent health states from multiple data sources with application to active surveillance of prostate cancer
by Rebecca Yates Coley & Aaron J. Fisher & Mufaddal Mamawala & Herbert Ballentine Carter & Kenneth J. Pienta & Scott L. Zeger - 635-645 Estimation of the optimal regime in treatment of prostate cancer recurrence from observational data using flexible weighting models
by Jincheng Shen & Lu Wang & Jeremy M. G. Taylor - 646-655 Estimation of diagnostic accuracy of a combination of continuous biomarkers allowing for conditional dependence between the biomarkers and the imperfect reference-test
by Leandro García Barrado & Els Coart & Tomasz Burzykowski - 656-665 Hierarchical group testing for multiple infections
by Peijie Hou & Joshua M. Tebbs & Christopher R. Bilder & Christopher S. McMahan - 666-677 A joint modeling approach for multivariate survival data with random length
by Shuling Liu & Amita K. Manatunga & Limin Peng & Michele Marcus - 678-686 Multi-parameter regression survival modeling: An alternative to proportional hazards
by K. Burke & G. MacKenzie - 687-695 Testing violations of the exponential assumption in cancer clinical trials with survival endpoints
by Gang Han & Michael J. Schell & Heping Zhang & Daniel Zelterman & Lajos Pusztai & Kerin Adelson & Christos Hatzis - 696-705 Alternating logistic regressions with improved finite sample properties
by Jamie Perin & John S. Preisser - 706-708 Reader reaction on estimation of treatment effects in all-comers randomized clinical trials with a predictive marker
by Edward L. Korn & Boris Freidlin - 709-710 JOHN M. CHAMBERS . Extending R . Boca Raton : CRC Press
by Bill Venables - 710-713 ROBERT E. KASS , URI T. EDEN , EMERY N. BROWN . Analysis of Neural Data . New York : Springer Science + Business Media
by D. Andrew Brown - 713-714 ALESSIO FARCOMENI , LUCA GRECO . Robust Methods for Data Reduction . Boca Raton : CRC Press
by Luis Angel García Escudero - 714-715 DANIEL COMMENGES , HELENE JACQMIN-GADDA . Dynamical Biostatistical Models . Boca Raton : CRC Press
by Shuai Chen & Menggang Yu - 715-715 THORSTEN WIEGAND , KIRK A. MOLONEY . Handbook of Spatial Point-Pattern Analysis in Ecology . Boca Raton : CRC Press
by Michael Matiu - 715-716 GERHARD TUTZ . Regression for Categorical Data . Cambridge : Cambridge University Press
by Torsten Hothorn
March 2017, Volume 73, Issue 1
- 10-19 Convex biclustering
by Eric C. Chi & Genevera I. Allen & Richard G. Baraniuk - 20-30 Toward an objective and reproducible model choice via variable selection deviation
by Wenjing Yang & Yuhong Yang - 31-41 Comparing large covariance matrices under weak conditions on the dependence structure and its application to gene clustering
by Jinyuan Chang & Wen Zhou & Wen-Xin Zhou & Lan Wang - 42-51 A statistical method for detecting differentially expressed SNVs based on next-generation RNA-seq data
by Rong Fu & Pei Wang & Weiping Ma & Ayumu Taguchi & Chee-Hong Wong & Qing Zhang & Adi Gazdar & Samir M. Hanash & Qinghua Zhou & Hua Zhong & Ziding Feng - 52-62 A random effect model for reconstruction of spatial chromatin structure
by Jincheol Park & Shili Lin - 63-71 Diagnosing misspecification of the random-effects distribution in mixed models
by Reza Drikvandi & Geert Verbeke & Geert Molenberghs - 72-82 Joint partially linear model for longitudinal data with informative drop-outs
by Sehee Kim & Donglin Zeng & Jeremy M. G. Taylor - 83-93 On longitudinal prediction with time-to-event outcome: Comparison of modeling options
by Marlena Maziarz & Patrick Heagerty & Tianxi Cai & Yingye Zheng - 94-103 Multiple imputation for cure rate quantile regression with censored data
by Yuanshan Wu & Guosheng Yin - 104-113 Nonparametric analysis of competing risks data with event category missing at random
by Natalia A. Gouskova & Feng-Chang Lin & Jason P. Fine - 114-123 Efficient estimation for accelerated failure time model under case-cohort and nested case-control sampling
by Suhyun Kang & Wenbin Lu & Mengling Liu - 124-133 Doubly robust estimator for net survival rate in analyses of cancer registry data
by Sho Komukai & Satoshi Hattori - 134-144 Estimating the average treatment effect on survival based on observational data and using partly conditional modeling
by Qi Gong & Douglas E. Schaubel - 145-155 Adaptive contrast weighted learning for multi-stage multi-treatment decision-making
by Yebin Tao & Lu Wang - 156-166 Alternative measures of between-study heterogeneity in meta-analysis: Reducing the impact of outlying studies
by Lifeng Lin & Haitao Chu & James S. Hodges - 167-173 Petersen estimator, Chapman adjustment, list effects, and heterogeneity
by Chang Xuan Mao & Ruochen Huang & Sijia Zhang - 174-184 Robustifying Bayesian nonparametric mixtures for count data
by Antonio Canale & Igor Prünster - 185-196 The LZIP: A Bayesian latent factor model for correlated zero-inflated counts
by Brian Neelon & Dongjun Chung - 197-205 Likelihood ratio tests for a dose-response effect using multiple nonlinear regression models
by Georg Gutjahr & Björn Bornkamp - 206-213 On the combination of c- and D-optimal designs: General approaches and applications in dose–response studies
by Tim Holland-Letz - 214-219 Ordinal probability effect measures for group comparisons in multinomial cumulative link models
by Alan Agresti & Maria Kateri - 220-231 Sufficient dimension reduction for censored predictors
by Diego Tomassi & Liliana Forzani & Efstathia Bura & Ruth Pfeiffer - 232-241 Multivariate Bayesian variable selection exploiting dependence structure among outcomes: Application to air pollution effects on DNA methylation
by Kyu Ha Lee & Mahlet G. Tadesse & Andrea A. Baccarelli & Joel Schwartz & Brent A. Coull - 242-251 Adaptive prior weighting in generalized regression
by Leonhard Held & Rafael Sauter - 252-259 Nonparametric inference on quantile lost lifespan
by Lauren Balmert & Jong-Hyeon Jeong - 260-270 Tumor dormancy and frailty models: A novel approach
by Paola M. V. Rancoita & Morten Valberg & Romano Demicheli & Elia Biganzoli & Clelia Di Serio - 271-282 Modeling of successive cancer risks in Lynch syndrome families in the presence of competing risks using copulas
by Yun-Hee Choi & Laurent Briollais & Aung K. Win & John Hopper & Dan Buchanan & Mark Jenkins & Lajmi Lakhal-Chaieb - 283-293 Time series modeling of pathogen-specific disease probabilities with subsampled data
by Leigh Fisher & Jon Wakefield & Cici Bauer & Steve Self - 294-304 Dynamic models for estimating the effect of HAART on CD4 in observational studies: Application to the Aquitaine Cohort and the Swiss HIV Cohort Study
by Mélanie Prague & Daniel Commenges & Jon Michael Gran & Bruno Ledergerber & Jim Young & Hansjakob Furrer & Rodolphe Thiébaut - 305-312 Using the SAEM algorithm for mechanistic joint models characterizing the relationship between nonlinear PSA kinetics and survival in prostate cancer patients
by Solène Desmée & France Mentré & Christine Veyrat-Follet & Bernard Sébastien & Jérémie Guedj - 313-323 Hidden Markov latent variable models with multivariate longitudinal data
by Xinyuan Song & Yemao Xia & Hongtu Zhu - 324-333 Clustering multivariate functional data with phase variation
by Juhyun Park & Jeongyoun Ahn - 334-343 Assessment of DPOAE test-retest difference curves via hierarchical Gaussian processes
by Junshu Bao & Timothy Hanson & Garnett P. McMillan & Kristin Knight - 344-355 Detecting rare and common haplotype–environment interaction under uncertainty of gene–environment independence assumption
by Yuan Zhang & Shili Lin & Swati Biswas - 356-356 STEPHEN BURGESS , SIMON G. THOMPSON . Mendelian Randomization: Methods for Using Genetic Variants in Causal Estimation . Boca Raton : CRC Press
by John Thompson - 357-357 TIE-HUA NG . Noninferiority Testing in Clinical Trials: Issues and Challenges . Boca Raton : CRC Press
by Sonja Grill - 357-358 MW-L CHEUNG . Meta-analysis: A Structural Equation Modeling Approach . New York : Wiley
by Suzanne Jak - 358-359 DANIEL ZELTERMAN , Applied Multivariate Statistics with R . Heidelberg : Springer
by Donna Pauler Ankerst
December 2016, Volume 72, Issue 4
- 1017-1025 Identifying predictive markers for personalized treatment selection
by Yuanyuan Shen & Tianxi Cai - 1026-1036 A Bayesian credible subgroups approach to identifying patient subgroups with positive treatment effects
by Patrick M. Schnell & Qi Tang & Walter W. Offen & Bradley P. Carlin - 1037-1045 Robust risk prediction with biomarkers under two‐phase stratified cohort design
by Rebecca Payne & Ming Yang & Yingye Zheng & Majken K. Jensen & Tianxi Cai - 1046-1054 Comparing biomarkers as trial level general surrogates
by Erin E. Gabriel & Michael J. Daniels & M. Elizabeth Halloran - 1055-1065 Propensity score matching and subclassification in observational studies with multi‐level treatments
by Shu Yang & Guido W. Imbens & Zhanglin Cui & Douglas E. Faries & Zbigniew Kadziola - 1066-1077 Accounting for interactions and complex inter‐subject dependency in estimating treatment effect in cluster‐randomized trials with missing outcomes
by Melanie Prague & Rui Wang & Alisa Stephens & Eric Tchetgen Tchetgen & Victor DeGruttola - 1078-1085 Simultaneous inference on treatment effects in survival studies with factorial designs
by Dan‐Yu Lin & Jianjian Gong & Paul Gallo & Paul H. Bunn & David Couper - 1086-1097 Sieve estimation of Cox models with latent structures
by Yongxiu Cao & Jian Huang & Yanyan Liu & Xingqiu Zhao - 1098-1102 On confidence intervals for the hazard ratio in randomized clinical trials
by Dan‐Yu Lin & Luyan Dai & Gang Cheng & Martin Oliver Sailer - 1103-1112 Regression analysis of case K interval‐censored failure time data in the presence of informative censoring
by Peijie Wang & Hui Zhao & Jianguo Sun - 1113-1122 Marginal regression analysis of recurrent events with coarsened censoring times
by X. Joan Hu & Rhonda J. Rosychuk - 1123-1135 Joint latent class model for longitudinal data and interval‐censored semi‐competing events: Application to dementia
by Anaïs Rouanet & Pierre Joly & Jean‐François Dartigues & Cécile Proust‐Lima & Hélène Jacqmin‐Gadda - 1136-1144 Improving efficiency using the Rao–Blackwell theorem in corrected and conditional score estimation methods for joint models
by Yih‐Huei Huang & Wen‐Han Hwang & Fei‐Yin Chen - 1145-1154 Survival impact index and ultrahigh‐dimensional model‐free screening with survival outcomes
by Jialiang Li & Qi Zheng & Limin Peng & Zhipeng Huang - 1155-1163 Flexible variable selection for recovering sparsity in nonadditive nonparametric models
by Zaili Fang & Inyoung Kim & Patrick Schaumont - 1164-1172 Variable selection for binary spatial regression: Penalized quasi‐likelihood approach
by Wenning Feng & Abdhi Sarkar & Chae Young Lim & Tapabrata Maiti - 1173-1183 Oracle estimation of parametric models under boundary constraints
by Kin Yau Wong & Yair Goldberg & Jason P. Fine - 1184-1193 Fused lasso with the adaptation of parameter ordering in combining multiple studies with repeated measurements
by Fei Wang & Lu Wang & Peter X.‐K. Song - 1194-1205 Estimation and testing for multiple regulation of multivariate mixed outcomes
by Denis Agniel & Katherine P. Liao & Tianxi Cai - 1206-1215 Bayesian hierarchical modeling for subject‐level response classification in peptide microarray immunoassays
by Gregory Imholte & Raphael Gottardo - 1216-1225 CCor: A whole genome network‐based similarity measure between two genes
by Yiming Hu & Hongyu Zhao - 1226-1234 Spatial scan statistics for detection of multiple clusters with arbitrary shapes
by Pei‐Sheng Lin & Yi‐Hung Kung & Murray Clayton - 1235-1245 Maximum likelihood estimation for N‐mixture models
by Linda M. Haines - 1246-1254 Bayesian population size estimation using Dirichlet process mixtures
by Daniel Manrique‐Vallier - 1255-1265 Mixture of time‐dependent growth models with an application to blue swimmer crab length‐frequency data
by Luke R. Lloyd‐Jones & Hien D. Nguyen & Geoffrey J. McLachlan & Wayne Sumpton & You‐Gan Wang - 1266-1274 Circular piecewise regression with applications to cell‐cycle data
by Cristina Rueda & Miguel A. Fernández & Sandra Barragán & Kanti V. Mardia & Shyamal D. Peddada - 1275-1284 Single‐index varying coefficient model for functional responses
by Xinchao Luo & Lixing Zhu & Hongtu Zhu - 1285-1293 Confidence sets for optimal factor levels of a response surface
by Fang Wan & Wei Liu & Frank Bretz & Yang Han - 1294-1304 Estimation in closed capture–recapture models when covariates are missing at random
by Shen‐Ming Lee & Wen‐Han Hwang & Jean de Dieu Tapsoba - 1305-1314 A generalized abundance index for seasonal invertebrates
by Emily B. Dennis & Byron J. T. Morgan & Stephen N. Freeman & Tom M. Brereton & David B. Roy - 1315-1324 Biased and unbiased estimation in longitudinal studies with informative visit processes
by Charles E. McCulloch & John M. Neuhaus & Rebecca L. Olin - 1325-1335 Label‐noise resistant logistic regression for functional data classification with an application to Alzheimer's disease study
by Seokho Lee & Hyejin Shin & Sang Han Lee - 1336-1347 Approximate median regression for complex survey data with skewed response
by Raphael André Fraser & Stuart R. Lipsitz & Debajyoti Sinha & Garrett M. Fitzmaurice & Yi Pan - 1348-1357 A sup‐score test for the cure fraction in mixture models for long‐term survivors
by Wei‐Wen Hsu & David Todem & KyungMann Kim - 1358-1368 PCAN: Probabilistic correlation analysis of two non‐normal data sets
by Roger S. Zoh & Bani Mallick & Ivan Ivanov & Veera Baladandayuthapani & Ganiraju Manyam & Robert S. Chapkin & Johanna W. Lampe & Raymond J. Carroll - 1369-1377 Moment reconstruction and moment‐adjusted imputation when exposure is generated by a complex, nonlinear random effects modeling process
by Cornelis J. Potgieter & Rubin Wei & Victor Kipnis & Laurence S. Freedman & Raymond J. Carroll - 1378-1386 Meta‐analysis framework for exact inferences with application to the analysis of rare events
by Guang Yang & Dungang Liu & Junyuan Wang & Min‐ge Xie - 1387-1388 GUIDO IMBENS, DONALD RUBIN, Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction. New York: Cambridge University Press
by Bryan E. Shepherd & Ryan Jarrett & Lingjun Fu - 1388-1389 GEORGE TSENG, DEBASHISH GHOSH, XIANGHON JASMINE ZHOU, EDS. Integrating Omics Data. New York: Cambridge University Press
by Jonathan A. L. Gelfond - 1389-1390 S. T. BUCKLAND, E. A. REXSTAD, T. A. MARQUES, C. S. OEDEKOVEN, Distance Sampling: Methods and Applications. Heidelberg: Springer
by Jeff Laake - 1390-1391 AMANDA L. GEELBEK, INGRAM OLKIN, YULIA R. GEL, Leadership and Women in Statistics. Boca Raton: CRC Press
by Dalene Stangl
September 2016, Volume 72, Issue 3
- 669-677 An information-theoretic approach for the evaluation of surrogate endpoints based on causal inference
by Ariel Alonso & Wim Van der Elst & Geert Molenberghs & Marc Buyse & Tomasz Burzykowski - 678-686 Spatial regression with covariate measurement error: A semiparametric approach
by Md Hamidul Huque & Howard D. Bondell & Raymond J. Carroll & Louise M. Ryan - 687-696 Mechanistic spatio-temporal point process models for marked point processes, with a view to forest stand data
by Jesper Møller & Mohammad Ghorbani & Ege Rubak - 697-706 A flexible ratio regression approach for zero-truncated capture–recapture counts
by Dankmar Böhning & Irene Rocchetti & Marco Alfó & Heinz Holling - 707-719 Flexible link functions in nonparametric binary regression with Gaussian process priors
by Dan Li & Xia Wang & Lizhen Lin & Dipak K. Dey - 720-730 Robust nonparametric estimation of monotone regression functions with interval-censored observations
by Ying Zhang & Gang Cheng & Wanzhu Tu - 731-741 Model selection and inference for censored lifetime medical expenditures
by Brent A. Johnson & Qi Long & Yijian Huang & Kari Chansky & Mary Redman - 742-750 Estimating treatment effect in a proportional hazards model in randomized clinical trials with all-or-nothing compliance
by Shuli Li & Robert J. Gray - 751-759 Sparse estimation of Cox proportional hazards models via approximated information criteria
by Xiaogang Su & Chalani S. Wijayasinghe & Juanjuan Fan & Ying Zhang - 760-769 A log-rank-type test to compare net survival distributions
by Nathalie Grafféo & Fabienne Castell & Aurélien Belot & Roch Giorgi - 770-779 A new flexible dependence measure for semi-competing risks
by Jing Yang & Limin Peng - 780-790 Nonparametric analysis of bivariate gap time with competing risks
by Chiung-Yu Huang & Chenguang Wang & Mei-Cheng Wang - 791-803 Estimation of sparse directed acyclic graphs for multivariate counts data
by Sung Won Han & Hua Zhong - 804-814 Modeling overdispersion heterogeneity in differential expression analysis using mixtures
by Elisabetta Bonafede & Franck Picard & Stéphane Robin & Cinzia Viroli - 815-826 Sequential model selection-based segmentation to detect DNA copy number variation
by Jianhua Hu & Liwen Zhang & Huixia Judy Wang - 827-834 The latent class twin method
by Stuart G. Baker - 835-845 The interval testing procedure: A general framework for inference in functional data analysis
by Alessia Pini & Simone Vantini - 846-854 Interpretable functional principal component analysis
by Zhenhua Lin & Liangliang Wang & Jiguo Cao - 855-864 Model assessment in dynamic treatment regimen estimation via double robustness
by Michael P. Wallace & Erica E. M. Moodie & David A. Stephens - 865-876 Estimating optimal shared-parameter dynamic regimens with application to a multistage depression clinical trial
by Bibhas Chakraborty & Palash Ghosh & Erica E. M. Moodie & A. John Rush - 877-887 A predictive enrichment procedure to identify potential responders to a new therapy for randomized, comparative controlled clinical studies
by Junlong Li & Lihui Zhao & Lu Tian & Tianxi Cai & Brian Claggett & Andrea Callegaro & Benjamin Dizier & Bart Spiessens & Fernando Ulloa-Montoya & Lee-Jen Wei - 888-896 Unbiased estimation of biomarker panel performance when combining training and testing data in a group sequential design
by Nabihah Tayob & Kim-Anh Do & Ziding Feng - 897-906 Addressing issues associated with evaluating prediction models for survival endpoints based on the concordance statistic
by Ming Wang & Qi Long - 907-916 Joint model for left-censored longitudinal data, recurrent events and terminal event: Predictive abilities of tumor burden for cancer evolution with application to the FFCD 2000–05 trial
by Agnieszka Król & Loïc Ferrer & Jean-Pierre Pignon & Cécile Proust-Lima & Michel Ducreux & Olivier Bouché & Stefan Michiels & Virginie Rondeau - 917-925 A class of joint models for multivariate longitudinal measurements and a binary event
by Sungduk Kim & Paul S. Albert - 926-935 Global rank tests for multiple, possibly censored, outcomes
by Ritesh Ramchandani & David A. Schoenfeld & Dianne M. Finkelstein - 936-944 A three-groups model for high-throughput survival screens
by Benjamin A. Shaby & Gaia Skibinski & Michael Ando & Eva S. LaDow & Steven Finkbeiner - 945-954 A novel random effect model for GWAS meta-analysis and its application to trans-ethnic meta-analysis
by Jingchunzi Shi & Seunggeun Lee - 955-964 Bayesian inference for latent biologic structure with determinantal point processes (DPP)
by Yanxun Xu & Peter Müller & Donatello Telesca - 965-975 An efficient design strategy for logistic regression using outcome- and covariate-dependent pooling of biospecimens prior to assay
by Robert H. Lyles & Emily M. Mitchell & Clarice R. Weinberg & David M. Umbach & Enrique F. Schisterman - 976-985 Estimation and interpretation of heterogeneous vaccine efficacy against recurrent infections
by Juha Mehtälä & Ron Dagan & Kari Auranen - 986-994 Marginal mean models for zero-inflated count data
by David Todem & KyungMann Kim & Wei-Wen Hsu - 995-1002 Boomerang: A method for recursive reclassification
by Sean M. Devlin & Irina Ostrovnaya & Mithat Gönen - 1003-1005 Reader reaction: Instrumental variable additive hazards models with exposure-dependent censoring
by Kwun Chuen Gary Chan - 1006-1007 FRANK E. HARRELL , Jr. , Regression Modeling Strategies: With Applications, to Linear Models, Logistic and Ordinal Regression, and Survival Analysis , 2nd ed. Heidelberg : Springer
by E. W. Steyerberg - 1006-1008 LYLE D. BROEMELING , Bayesian Methods in Epidemiology . Boca Raton, FL : CRC Press
by Julie Paulus - 1008-1008 SOMNATH DATTA AND DAN NETTLETON , Statistical Analysis of Next-Generation Sequencing Data . Heidelberg : Springer
by Aurélien Tellier - 1009-1009 GARRETT M. FITZMAURICE , NAN M. LAIRD , AND JAMES H. WARE , Applied Longitudinal Analysis . Hoboken : Wiley
by Donna Pauler Ankerst
June 2016, Volume 72, Issue 2
- 315-324 Modeling interdependent animal movement in continuous time
by Mu Niu & Paul G. Blackwell & Anna Skarin - 325-334 Large-scale signal detection: A unified perspective
by Subhadeep Mukhopadhyay - 335-343 An empirically adjusted approach to reproductive number estimation for stochastic compartmental models: A case study of two Ebola outbreaks
by Grant D. Brown & Jacob J. Oleson & Aaron T. Porter - 344-353 Alive SMC-super-2: Bayesian model selection for low-count time series models with intractable likelihoods
by Christopher C. Drovandi & Roy A. McCutchan - 354-363 Estimating DNA methylation levels by joint modeling of multiple methylation profiles from microarray data
by Tao Wang & Mengjie Chen & Hongyu Zhao - 364-371 Testing and estimation in marker-set association study using semiparametric quantile regression kernel machine
by Dehan Kong & Arnab Maity & Fang-Chi Hsu & Jung-Ying Tzeng - 372-381 Kernel machine testing for risk prediction with stratified case cohort studies
by Rebecca Payne & Matey Neykov & Majken Karoline Jensen & Tianxi Cai - 382-391 Using the whole cohort in the analysis of countermatched samples
by C. Rivera & T. Lumley - 392-401 The residual-based predictiveness curve: A visual tool to assess the performance of prediction models
by Giuseppe Casalicchio & Bernd Bischl & Anne-Laure Boulesteix & Matthias Schmid - 402-413 Hypothesis test of mediation effect in causal mediation model with high-dimensional continuous mediators
by Yen-Tsung Huang & Wen-Chi Pan - 414-421 Optimal Bayesian adaptive trials when treatment efficacy depends on biomarkers
by Yifan Zhang & Lorenzo Trippa & Giovanni Parmigiani - 422-431 Enhanced precision in the analysis of randomized trials with ordinal outcomes
by Iván Díaz & Elizabeth Colantuoni & Michael Rosenblum - 432-440 A rank-sum test for clustered data when the number of subjects in a group within a cluster is informative
by Sandipan Dutta & Somnath Datta - 441-451 Cluster adjusted regression for displaced subject data ( CARDS ): Marginal inference under potentially informative temporal cluster size profiles
by Joe Bible & James D. Beck & Somnath Datta - 452-462 Parsimonious covariate selection with censored outcomes
by Albert Gregory DiRienzo - 463-472 Instrumental variable method for time-to-event data using a pseudo-observation approach
by Maiken I. S. Kjaersgaard & Erik T. Parner - 473-483 A flexible AFT model for misclassified clustered interval-censored data
by María José García-Zattera & Alejandro Jara & Arnošt Komárek - 484-493 A significance test for graph-constrained estimation
by Sen Zhao & Ali Shojaie - 494-502 Testing multiple hypotheses with skewed alternatives
by Naveen K. Bansal & Gholamhossein G. Hamedani & Mehdi Maadooliat - 503-512 Tolerance bands for functional data
by Lasitha N. Rathnayake & Pankaj K. Choudhary - 513-524 Movement prediction using accelerometers in a human population
by Luo Xiao & Bing He & Annemarie Koster & Paolo Caserotti & Brittney Lange-Maia & Nancy W. Glynn & Tamara B. Harris & Ciprian M. Crainiceanu - 525-534 Semiparametric methods to contrast gap time survival functions: Application to repeat kidney transplantation
by Xu Shu & Douglas E. Schaubel - 535-545 Nonparametric methods for analyzing recurrent gap time data with application to infections after hematopoietic cell transplant
by Chi Hyun Lee & Xianghua Luo & Chiung-Yu Huang & Todd E. DeFor & Claudio G. Brunstein & Daniel J. Weisdorf - 546-553 Multivariate piecewise exponential survival modeling
by Yan Li & Orestis A. Panagiotou & Amanda Black & Dandan Liao & Sholom Wacholder - 554-562 A unified Bayesian semiparametric approach to assess discrimination ability in survival analysis
by Lili Zhao & Dai Feng & Guoan Chen & Jeremy M. G. Taylor - 563-574 Mediation analysis for survival data using semiparametric probit models
by Yen-Tsung Huang & Tianxi Cai - 575-583 Bayesian predictive modeling for genomic based personalized treatment selection
by Junsheng Ma & Francesco C. Stingo & Brian P. Hobbs - 584-595 Bayes and empirical Bayes methods for reduced rank regression models in matched case-control studies
by Jaya M. Satagopan & Ananda Sen & Qin Zhou & Qing Lan & Nathaniel Rothman & Hilde Langseth & Lawrence S. Engel - 596-605 A Bayesian hierarchical framework for modeling brain connectivity for neuroimaging data
by Shuo Chen & F. DuBois Bowman & Helen S. Mayberg - 606-618 Marginal regression models for clustered count data based on zero-inflated Conway–Maxwell–Poisson distribution with applications
by Hyoyoung Choo-Wosoba & Steven M. Levy & Somnath Datta - 619-628 Semi-Markov Arnason–Schwarz models
by Ruth King & Roland Langrock - 629-638 A unified set-based test with adaptive filtering for gene–environment interaction analyses
by Qianying Liu & Lin S. Chen & Dan L. Nicolae & Brandon L. Pierce - 639-648 False discovery rate estimation for large-scale homogeneous discrete p-values
by Kun Liang