Content
October 2024, Volume 30, Issue 4
- 701-720 Partial-linear single-index transformation models with censored data
by Myeonggyun Lee & Andrea B. Troxel & Mengling Liu - 721-741 A flexible time-varying coefficient rate model for panel count data
by Dayu Sun & Yuanyuan Guo & Yang Li & Jianguo Sun & Wanzhu Tu - 742-775 Copula-based analysis of dependent current status data with semiparametric linear transformation model
by Huazhen Yu & Rui Zhang & Lixin Zhang - 776-799 Nested case–control sampling without replacement
by Yei Eun Shin & Takumi Saegusa - 800-826 Unifying mortality forecasting model: an investigation of the COM–Poisson distribution in the GAS model for improved projections
by Suryo Adi Rakhmawan & Tahir Mahmood & Nasir Abbas & Muhammad Riaz - 827-852 Spatiotemporal multilevel joint modeling of longitudinal and survival outcomes in end-stage kidney disease
by Esra Kürüm & Danh V. Nguyen & Qi Qian & Sudipto Banerjee & Connie M. Rhee & Damla Şentürk - 853-854 Call for papers for a special issue on survival analysis in artificial intelligence
by Xingqiu Zhao
July 2024, Volume 30, Issue 3
- 529-530 Special issue dedicated to Mitchell H. Gail, M.D. Ph.D
by Mei-Ling Ting Lee - 531-548 Competing risks and multivariate outcomes in epidemiological and clinical trial research
by R. L. Prentice - 549-571 Risk projection for time-to-event outcome from population-based case–control studies leveraging summary statistics from the target population
by Jiayin Zheng & Li Hsu - 572-599 Cox model inference for relative hazard and pure risk from stratified weight-calibrated case-cohort data
by Lola Etievant & Mitchell H. Gail - 600-623 Measurement error models with zero inflation and multiple sources of zeros, with applications to hard zeros
by Anindya Bhadra & Rubin Wei & Ruth Keogh & Victor Kipnis & Douglas Midthune & Dennis W. Buckman & Ya Su & Ananya Roy Chowdhury & Raymond J. Carroll - 624-648 A constrained maximum likelihood approach to developing well-calibrated models for predicting binary outcomes
by Yaqi Cao & Weidong Ma & Ge Zhao & Anne Marie McCarthy & Jinbo Chen - 649-666 On the role of Volterra integral equations in self-consistent, product-limit, inverse probability of censoring weighted, and redistribution-to-the-right estimators for the survival function
by Robert L. Strawderman & Benjamin R. Baer - 667-679 Regression analysis of doubly censored failure time data with ancillary information
by Mingyue Du & Xiyuan Gao & Ling Chen - 680-699 A Bayesian quantile joint modeling of multivariate longitudinal and time-to-event data
by Damitri Kundu & Shekhar Krishnan & Manash Pratim Gogoi & Kiranmoy Das
April 2024, Volume 30, Issue 2
- 291-309 Efficiency of the Breslow estimator in semiparametric transformation models
by Theresa P. Devasia & Alexander Tsodikov - 310-326 Bias reduction for semi-competing risks frailty model with rare events: application to a chronic kidney disease cohort study in South Korea
by Jayoun Kim & Boram Jeong & Il Do Ha & Kook-Hwan Oh & Ji Yong Jung & Jong Cheol Jeong & Donghwan Lee - 327-344 A Bayesian proportional hazards mixture cure model for interval-censored data
by Chun Pan & Bo Cai & Xuemei Sui - 345-382 Quantile difference estimation with censoring indicators missing at random
by Cui-Juan Kong & Han-Ying Liang - 383-403 Bias of the additive hazard model in the presence of causal effect heterogeneity
by Richard A. J. Post & Edwin R. van den Heuvel & Hein Putter - 404-438 The built-in selection bias of hazard ratios formalized using structural causal models
by Richard A. J. Post & Edwin R. den Heuvel & Hein Putter - 439-471 Pseudo-value regression trees
by Alina Schenk & Moritz Berger & Matthias Schmid - 472-500 On variable selection in a semiparametric AFT mixture cure model
by Motahareh Parsa & Seyed Mahmood Taghavi-Shahri & Ingrid Van Keilegom - 501-527 Model averaging for right censored data with measurement error
by Zhongqi Liang & Caiya Zhang & Linjun Xu
January 2024, Volume 30, Issue 1
- 1-3 Preface
by Jialiang Li & Stijn Vansteelandt - 4-33 Targeted maximum likelihood estimation for causal inference in survival and competing risks analysis
by Helene C. W. Rytgaard & Mark J. Laan - 34-58 RKHS-based covariate balancing for survival causal effect estimation
by Wu Xue & Xiaoke Zhang & Kwun Chuen Gary Chan & Raymond K. W. Wong - 59-118 Causal inference with recurrent and competing events
by Matias Janvin & Jessica G. Young & Pål C. Ryalen & Mats J. Stensrud - 119-142 Model-based hypothesis tests for the causal mediation of semi-competing risks
by Yun-Lin Ho & Ju-Sheng Hong & Yen-Tsung Huang - 143-180 Estimation of separable direct and indirect effects in a continuous-time illness-death model
by Marie Skov Breum & Anders Munch & Thomas A. Gerds & Torben Martinussen - 181-212 Dynamic Treatment Regimes Using Bayesian Additive Regression Trees for Censored Outcomes
by Xiao Li & Brent R. Logan & S. M. Ferdous Hossain & Erica E. M. Moodie - 213-236 Causal survival analysis under competing risks using longitudinal modified treatment policies
by Iván Díaz & Katherine L. Hoffman & Nima S. Hejazi - 237-261 Sensitivity Analysis for Observational Studies with Recurrent Events
by Jeffrey Zhang & Dylan S. Small - 262-289 Assessing model prediction performance for the expected cumulative number of recurrent events
by Olivier Bouaziz
October 2023, Volume 29, Issue 4
- 699-708 Cox (1972): recollections and reflections
by David Oakes - 709-734 A nonparametric instrumental approach to confounding in competing risks models
by Jad Beyhum & Jean-Pierre Florens & Ingrid Keilegom - 735-751 Volume under the ROC surface for high-dimensional independent screening with ordinal competing risk outcomes
by Yang Qu & Yu Cheng - 752-768 Evaluation of the natural history of disease by combining incident and prevalent cohorts: application to the Nun Study
by Daewoo Pak & Jing Ning & Richard J. Kryscio & Yu Shen - 769-806 Quantile forward regression for high-dimensional survival data
by Eun Ryung Lee & Seyoung Park & Sang Kyu Lee & Hyokyoung G. Hong - 807-822 Regression analysis of general mixed recurrent event data
by Ryan Sun & Dayu Sun & Liang Zhu & Jianguo Sun - 823-853 Improving marginal hazard ratio estimation using quadratic inference functions
by Hongkai Liang & Xiaoguang Wang & Yingwei Peng & Yi Niu - 854-887 Estimation and testing for clustered interval-censored bivariate survival data with application using the semi-parametric version of the Clayton–Oakes model
by Bernard Rosner & Camden Bay & Robert J. Glynn & Gui-shuang Ying & Maureen G. Maguire & Mei-Ling Ting Lee - 888-918 Bayesian semiparametric joint model of multivariate longitudinal and survival data with dependent censoring
by An-Min Tang & Nian-Sheng Tang & Dalei Yu
July 2023, Volume 29, Issue 3
- 483-507 Investigating non-inferiority or equivalence in time-to-event data under non-proportional hazards
by Kathrin Möllenhoff & Achim Tresch - 508-536 Semiparametric predictive inference for failure data using first-hitting-time threshold regression
by Mei-Ling Ting Lee & G. A. Whitmore - 537-554 On a simple estimation of the proportional odds model under right truncation
by Peng Liu & Kwun Chuen Gary Chan & Ying Qing Chen - 555-584 Consistent and robust inference in hazard probability and odds models with discrete-time survival data
by Zhiqiang Tan - 585-607 Incorporating delayed entry into the joint frailty model for recurrent events and a terminal event
by Marie Böhnstedt & Jutta Gampe & Monique A. A. Caljouw & Hein Putter - 608-627 Latency function estimation under the mixture cure model when the cure status is available
by Wende Clarence Safari & Ignacio López-de-Ullibarri & María Amalia Jácome - 628-653 A semi-parametric weighted likelihood approach for regression analysis of bivariate interval-censored outcomes from case-cohort studies
by Yichen Lou & Peijie Wang & Jianguo Sun - 654-671 Regression models for censored time-to-event data using infinitesimal jack-knife pseudo-observations, with applications to left-truncation
by Erik T. Parner & Per K. Andersen & Morten Overgaard - 672-697 Combined estimating equation approaches for the additive hazards model with left-truncated and interval-censored data
by Tianyi Lu & Shuwei Li & Liuquan Sun
April 2023, Volume 29, Issue 2
- 253-255 Special issue dedicated to Ørnulf Borgan
by S. O. Samuelsen & O. O. Aalen - 256-287 Bivariate pseudo-observations for recurrent event analysis with terminal events
by Julie K. Furberg & Per K. Andersen & Sofie Korn & Morten Overgaard & Henrik Ravn - 288-317 Estimating distribution of length of stay in a multi-state model conditional on the pathway, with an application to patients hospitalised with Covid-19
by Ruth H. Keogh & Karla Diaz-Ordaz & Nicholas P. Jewell & Malcolm G. Semple & Liesbeth C. de Wreede & Hein Putter - 318-341 Phase-type models for competing risks, with emphasis on identifiability issues
by Bo Henry Lindqvist - 342-371 Analysis and asymptotic theory for nested case–control designs under highly stratified proportional hazards models
by Larry Goldstein & Bryan Langholz - 372-402 The partly parametric and partly nonparametric additive risk model
by Nils Lid Hjort & Emil Aas Stoltenberg - 403-419 Cox regression can be collapsible and Aalen regression can be non-collapsible
by Sven Ove Samuelsen - 420-440 A boosting first-hitting-time model for survival analysis in high-dimensional settings
by Riccardo De Bin & Vegard Grødem Stikbakke - 441-482 On logistic regression with right censored data, with or without competing risks, and its use for estimating treatment effects
by Paul Frédéric Blanche & Anders Holt & Thomas Scheike
January 2023, Volume 29, Issue 1
- 1-33 Joint modeling of generalized scale-change models for recurrent event and failure time data
by Xiaoyu Wang & Liuquan Sun - 34-65 Flexible two-piece distributions for right censored survival data
by Worku B. Ewnetu & Irène Gijbels & Anneleen Verhasselt - 66-86 A general class of promotion time cure rate models with a new biological interpretation
by Yolanda M. Gómez & Diego I. Gallardo & Marcelo Bourguignon & Eduardo Bertolli & Vinicius F. Calsavara - 87-114 Semiparametric regression analysis of doubly-censored data with applications to incubation period estimation
by Kin Yau Wong & Qingning Zhou & Tao Hu - 115-141 Double bias correction for high-dimensional sparse additive hazards regression with covariate measurement errors
by Xiaobo Wang & Jiayu Huang & Guosheng Yin & Jian Huang & Yuanshan Wu - 142-187 A uniformisation-driven algorithm for inference-related estimation of a phase-type ageing model
by Boquan Cheng & Rogemar Mamon - 188-212 A flexible parametric approach for analyzing arbitrarily censored data that are potentially subject to left truncation under the proportional hazards model
by Prabhashi W. Withana Gamage & Christopher S. McMahan & Lianming Wang - 213-233 Bayesian Design of Clinical Trials Using Joint Cure Rate Models for Longitudinal and Time-to-Event Data
by Jiawei Xu & Matthew A. Psioda & Joseph G. Ibrahim - 234-252 A series of two-sample non-parametric tests for quantile residual life time
by Yimeng Liu & Liwen Wu & Gong Tang & Abdus S. Wahed
October 2022, Volume 28, Issue 4
- 543-545 Special issue dedicated to David Oakes
by Jong H. Jeong & Amita K. Manatunga - 546-559 On the targets of inference with multivariate failure time data
by Ross L. Prentice - 560-584 Marker-dependent observation and carry-forward of internal covariates in Cox regression
by Richard J. Cook & Jerald F. Lawless & Bingfeng Xie - 585-604 Inference for transition probabilities in non-Markov multi-state models
by Per Kragh Andersen & Eva Nina Sparre Wandall & Maja Pohar Perme - 605-636 Screening for chronic diseases: optimizing lead time through balancing prescribed frequency and individual adherence
by John D. Rice & Brent A. Johnson & Robert L. Strawderman - 637-658 Accounting for delayed entry into observational studies and clinical trials: length-biased sampling and restricted mean survival time
by Mei-Ling Ting Lee & John Lawrence & Yiming Chen & G. A. Whitmore - 659-674 Bias correction via outcome reassignment for cross-sectional data with binary disease outcome
by Mei-Cheng Wang & Yuxin Zhu - 675-699 Assessing dynamic covariate effects with survival data
by Ying Cui & Limin Peng - 700-722 Choice of time scale for analysis of recurrent events data
by Philip Hougaard - 723-743 Median regression models for clustered, interval-censored survival data - An application to prostate surgery study
by Debajyoti Sinha & Piyali Basak & Stuart R. Lipsitz - 744-763 Semiparametric single-index models for optimal treatment regimens with censored outcomes
by Jin Wang & Donglin Zeng & D. Y. Lin
July 2022, Volume 28, Issue 3
- 335-355 A new approach to estimation of the proportional hazards model based on interval-censored data with missing covariates
by Ruiwen Zhou & Huiqiong Li & Jianguo Sun & Niansheng Tang - 356-379 Mixture survival trees for cancer risk classification
by Beilin Jia & Donglin Zeng & Jason J. Z. Liao & Guanghan F. Liu & Xianming Tan & Guoqing Diao & Joseph G. Ibrahim - 380-400 Longitudinal mediation analysis of time-to-event endpoints in the presence of competing risks
by Tat-Thang Vo & Hilary Davies-Kershaw & Ruth Hackett & Stijn Vansteelandt - 401-427 Optimum test planning for heterogeneous inverse Gaussian processes
by Chien-Yu Peng & Hideki Nagatsuka & Ya-Shan Cheng - 428-491 Semi-supervised approach to event time annotation using longitudinal electronic health records
by Liang Liang & Jue Hou & Hajime Uno & Kelly Cho & Yanyuan Ma & Tianxi Cai - 492-511 Model selection among Dimension-Reduced generalized Cox models
by Ming-Yueh Huang & Kwun Chuen Gary Chan - 512-542 Privacy-preserving estimation of an optimal individualized treatment rule: a case study in maximizing time to severe depression-related outcomes
by Erica E. M. Moodie & Janie Coulombe & Coraline Danieli & Christel Renoux & Susan M. Shortreed
April 2022, Volume 28, Issue 2
- 169-193 A calibrated Bayesian method for the stratified proportional hazards model with missing covariates
by Soyoung Kim & Jae-Kwang Kim & Kwang Woo Ahn - 194-218 Scalable proximal methods for cause-specific hazard modeling with time-varying coefficients
by Wenbo Wu & Jeremy M. G. Taylor & Andrew F. Brouwer & Lingfeng Luo & Jian Kang & Hui Jiang & Kevin He - 219-240 Estimation and inference of predictive discrimination for survival outcome risk prediction models
by Ruosha Li & Jing Ning & Ziding Feng - 241-262 Competing risks regression models with covariates-adjusted censoring weight under the generalized case-cohort design
by Yayun Xu & Soyoung Kim & Mei-Jie Zhang & David Couper & Kwang Woo Ahn - 263-281 Regression analysis of additive hazards model with sparse longitudinal covariates
by Zhuowei Sun & Hongyuan Cao & Li Chen - 282-318 Bayesian penalized Buckley-James method for high dimensional bivariate censored regression models
by Wenjing Yin & Sihai Dave Zhao & Feng Liang - 319-334 Bayesian nonparametric dynamic hazard rates in evolutionary life tables
by Luis E. Nieto-Barajas
January 2022, Volume 28, Issue 1
- 1-22 Prognostic accuracy for predicting ordinal competing risk outcomes using ROC surfaces
by Song Zhang & Yang Qu & Yu Cheng & Oscar L. Lopez & Abdus S. Wahed - 23-39 Nonparametric inference in the accelerated failure time model using restricted means
by Mihai C. Giurcanu & Theodore G. Karrison - 40-67 Sample size calculation for clustered survival data under subunit randomization
by Jianghao Li & Sin-Ho Jung - 68-88 Maximum likelihood estimation for length-biased and interval-censored data with a nonsusceptible fraction
by Pao-sheng Shen & Yingwei Peng & Hsin-Jen Chen & Chyong-Mei Chen - 89-115 Semiparametric analysis of multivariate panel count data with nonlinear interactions
by Weiwei Wang & Yijun Wang & Xiaobing Zhao - 116-138 An additive hazards frailty model with semi-varying coefficients
by Zhongwen Zhang & Xiaoguang Wang & Yingwei Peng - 139-168 Bayesian analysis under accelerated failure time models with error-prone time-to-event outcomes
by Yanlin Tang & Xinyuan Song & Grace Yun Yi
October 2021, Volume 27, Issue 4
- 537-560 Instrumental variable estimation of early treatment effect in randomized screening trials
by Sudipta Saha & Zhihui Liu & Olli Saarela - 561-587 Weighted Lindley frailty model: estimation and application to lung cancer data
by Alex Mota & Eder A. Milani & Vinicius F. Calsavara & Vera L. D. Tomazella & Jeremias Leão & Pedro L. Ramos & Paulo H. Ferreira & Francisco Louzada - 588-631 A generalized theory of separable effects in competing event settings
by Mats J. Stensrud & Miguel A. Hernán & Eric J Tchetgen Tchetgen & James M. Robins & Vanessa Didelez & Jessica G. Young - 632-661 Conditional screening for ultrahigh-dimensional survival data in case-cohort studies
by Jing Zhang & Haibo Zhou & Yanyan Liu & Jianwen Cai - 662-678 The MLE of the uniform distribution with right-censored data
by Qiqing Yu - 679-709 An efficient Gehan-type estimation for the accelerated failure time model with clustered and censored data
by Liya Fu & Zhuoran Yang & Yan Zhou & You-Gan Wang - 710-736 Continuous and discrete-time survival prediction with neural networks
by Håvard Kvamme & Ørnulf Borgan - 737-760 A hybrid landmark Aalen-Johansen estimator for transition probabilities in partially non-Markov multi-state models
by Niklas Maltzahn & Rune Hoff & Odd O. Aalen & Ingrid S. Mehlum & Hein Putter & Jon Michael Gran
July 2021, Volume 27, Issue 3
- 333-356 Information measures and design issues in the study of mortality deceleration: findings for the gamma-Gompertz model
by Marie Böhnstedt & Jutta Gampe & Hein Putter - 357-387 The semiparametric accelerated trend-renewal process for recurrent event data
by Chien-Lin Su & Russell J. Steele & Ian Shrier - 388-412 Estimating duration distribution aided by auxiliary longitudinal measures in presence of missing time origin
by Yi Xiong & W. John Braun & X. Joan Hu - 413-436 Regression analysis of current status data with latent variables
by Chunjie Wang & Bo Zhao & Linlin Luo & Xinyuan Song - 437-459 A varying-coefficient model for gap times between recurrent events
by J. E. Soh & Yijian Huang - 460-480 Augmented likelihood for incorporating auxiliary information into left-truncated data
by Yidan Shi & Leilei Zeng & Mary E. Thompson & Suzanne L. Tyas - 481-498 OptBand: optimization-based confidence bands for functions to characterize time-to-event distributions
by T. Chen & S. Tracy & H. Uno - 499-535 Factor copula models for right-censored clustered survival data
by Eleanderson Campos & Roel Braekers & Devanil J. Souza & Lucas M. Chaves
April 2021, Volume 27, Issue 2
- 195-215 The ROC of Cox proportional hazards cure models with application in cancer studies
by Yilong Zhang & Xiaoxia Han & Yongzhao Shao - 216-243 Testing equivalence of survival before but not after end of follow-up
by Julie K. Furberg & Christian B. Pipper & Thomas Scheike - 244-268 An additive hazards cure model with informative interval censoring
by Shuying Wang & Chunjie Wang & Jianguo Sun - 269-299 Semiparametric regression based on quadratic inference function for multivariate failure time data with auxiliary information
by Feifei Yan & Lin Zhu & Yanyan Liu & Jianwen Cai & Haibo Zhou - 300-332 Optimal designs for discrete-time survival models with random effects
by Xiao-Dong Zhou & Yun-Juan Wang & Rong-Xian Yue
January 2021, Volume 27, Issue 1
- 1-14 The added value of new covariates to the brier score in cox survival models
by Glenn Heller - 15-37 Accelerated failure time model for data from outcome-dependent sampling
by Jichang Yu & Haibo Zhou & Jianwen Cai - 38-63 Left-censored dementia incidences in estimating cohort effects
by Rafael Weißbach & Yongdai Kim & Achim Dörre & Anne Fink & Gabriele Doblhammer - 64-90 Joint modeling of longitudinal continuous, longitudinal ordinal, and time-to-event outcomes
by Khurshid Alam & Arnab Maity & Sanjoy K. Sinha & Dimitris Rizopoulos & Abdus Sattar - 91-130 EM algorithm for the additive risk mixture cure model with interval-censored data
by Xiaoguang Wang & Ziwen Wang - 131-155 Firth adjusted score function for monotone likelihood in the mixture cure fraction model
by Frederico Machado Almeida & Enrico Antônio Colosimo & Vinícius Diniz Mayrink - 156-176 A dependent Dirichlet process model for survival data with competing risks
by Yushu Shi & Purushottam Laud & Joan Neuner - 177-194 Semi-parametric survival analysis via Dirichlet process mixtures of the First Hitting Time model
by Jonathan A. Race & Michael L. Pennell
October 2020, Volume 26, Issue 4
- 639-658 Cumulative risk regression in case–cohort studies using pseudo-observations
by Erik T. Parner & Per K. Andersen & Morten Overgaard - 659-684 Semiparametric regression and risk prediction with competing risks data under missing cause of failure
by Giorgos Bakoyannis & Ying Zhang & Constantin T. Yiannoutsos - 685-707 Estimation of treatment effects and model diagnostics with two-way time-varying treatment switching: an application to a head and neck study
by Qingxia Chen & Fan Zhang & Ming-Hui Chen & Xiuyu Julie Cong - 708-730 Semiparametric efficient estimation for additive hazards regression with case II interval-censored survival data
by Baihua He & Yanyan Liu & Yuanshan Wu & Xingqiu Zhao - 731-760 Analysis of the time-varying Cox model for the cause-specific hazard functions with missing causes
by Fei Heng & Yanqing Sun & Seunggeun Hyun & Peter B. Gilbert - 761-788 Nonparametric and semiparametric estimators of restricted mean survival time under length-biased sampling
by Yifan He & Yong Zhou - 789-819 Generalized mean residual life models for case-cohort and nested case-control studies
by Peng Jin & Anne Zeleniuch-Jacquotte & Mengling Liu - 820-832 Statistical analysis of clustered mixed recurrent-event data with application to a cancer survivor study
by Liang Zhu & Sangbum Choi & Yimei Li & Xuelin Huang & Jianguo Sun & Leslie L. Robison - 833-855 Subtleties in the interpretation of hazard contrasts
by Torben Martinussen & Stijn Vansteelandt & Per Kragh Andersen - 856-871 Measuring the temporal prognostic utility of a baseline risk score
by Sean M. Devlin & Mithat Gönen & Glenn Heller - 872-892 Extensions of the absolute standardized hazard ratio and connections with measures of explained variation and variable importance
by Michael R. Crager - 893-894 Correction to: Nonparametric estimators of survival function under the mixed case interval-censored model with left truncation
by Pao-Sheng Shen
July 2020, Volume 26, Issue 3
- 421-450 Semiparametric methods for survival data with measurement error under additive hazards cure rate models
by Sandip Barui & Grace Y. Yi - 451-470 Prognostic score matching methods for estimating the average effect of a non-reversible binary time-dependent treatment on the survival function
by Kevin He & Yun Li & Panduranga S. Rao & Randall S. Sung & Douglas E. Schaubel - 471-492 A semiparametric additive rates model for the weighted composite endpoint of recurrent and terminal events
by Xiaowei Sun & Jieli Ding & Liuquan Sun - 493-517 Bootstrap and permutation rank tests for proportional hazards under right censoring
by Marc Ditzhaus & Arnold Janssen - 518-544 Varying coefficient transformation cure models for failure time data
by Man-Hua Chen & Xingwei Tong - 545-572 Tree-based modeling of time-varying coefficients in discrete time-to-event models
by Marie-Therese Puth & Gerhard Tutz & Nils Heim & Eva Münster & Matthias Schmid & Moritz Berger - 573-602 Multiple event times in the presence of informative censoring: modeling and analysis by copulas
by Dongdong Li & X. Joan Hu & Mary L. McBride & John J. Spinelli - 603-623 Group sequential tests for treatment effect on survival and cumulative incidence at a fixed time point
by Michael J. Martens & Brent R. Logan - 624-637 Nonparametric estimators of survival function under the mixed case interval-censored model with left truncation
by Pao-Sheng Shen
April 2020, Volume 26, Issue 2
- 221-244 A new long-term survival model with dispersion induced by discrete frailty
by Vicente G. Cancho & Márcia A. C. Macera & Adriano K. Suzuki & Francisco Louzada & Katherine E. C. Zavaleta - 245-265 Assessing the value of a censored surrogate outcome
by Layla Parast & Lu Tian & Tianxi Cai - 266-291 Group-sequential logrank methods for trial designs using bivariate non-competing event-time outcomes
by Tomoyuki Sugimoto & Toshimitsu Hamasaki & Scott R. Evans & Susan Halabi - 292-314 Penalized full likelihood approach to variable selection for Cox’s regression model under nested case–control sampling
by Jie-Huei Wang & Chun-Hao Pan & I-Shou Chang & Chao Agnes Hsiung - 315-338 Semiparametric regression analysis of doubly censored failure time data from cohort studies
by Shuwei Li & Jianguo Sun & Tian Tian & Xia Cui - 339-368 Quantile regression-based Bayesian joint modeling analysis of longitudinal–survival data, with application to an AIDS cohort study
by Hanze Zhang & Yangxin Huang - 369-388 Parametric and semiparametric estimation methods for survival data under a flexible class of models
by Wenqing He & Grace Y. Yi - 389-401 Parametric modelling of prevalent cohort data with uncertainty in the measurement of the initial onset date
by J. H. McVittie & D. B. Wolfson & D. A. Stephens - 402-420 A Bayesian approach for semiparametric regression analysis of panel count data
by Jianhong Wang & Xiaoyan Lin
January 2020, Volume 26, Issue 1
- 1-20 Estimation for an accelerated failure time model with intermediate states as auxiliary information
by Ritesh Ramchandani & Dianne M. Finkelstein & David A. Schoenfeld - 21-44 Nested exposure case-control sampling: a sampling scheme to analyze rare time-dependent exposures
by Jan Feifel & Madlen Gebauer & Martin Schumacher & Jan Beyersmann - 45-64 Confidence intervals for the cumulative incidence function via constrained NPMLE
by Paul Blanche - 65-84 Robust estimation for panel count data with informative observation times and censoring times
by Hangjin Jiang & Wen Su & Xingqiu Zhao - 85-108 Semiparametric inference for a two-stage outcome-dependent sampling design with interval-censored failure time data
by Qingning Zhou & Jianwen Cai & Haibo Zhou - 109-133 Frailty modelling approaches for semi-competing risks data
by Il Do Ha & Liming Xiang & Mengjiao Peng & Jong-Hyeon Jeong & Youngjo Lee - 134-157 Multiplicative rates model for recurrent events in case-cohort studies
by Poulami Maitra & Leila D. A. F. Amorim & Jianwen Cai - 158-182 An extended proportional hazards model for interval-censored data subject to instantaneous failures
by Prabhashi W. Withana Gamage & Monica Chaudari & Christopher S. McMahan & Edwin H. Kim & Michael R. Kosorok - 183-213 Function-based hypothesis testing in censored two-sample location-scale models
by Sundarraman Subramanian - 214-220 Correction to: Improved precision in the analysis of randomized trials with survival outcomes, without assuming proportional hazards
by Iván Díaz & Elizabeth Colantuoni & Daniel F. Hanley & Michael Rosenblum
October 2019, Volume 25, Issue 4
- 587-592 Special issue dedicated to Odd O. Aalen
by Ørnulf Borgan & Håkon K. Gjessing - 593-610 Defining causal mediation with a longitudinal mediator and a survival outcome
by Vanessa Didelez - 611-638 The additive hazard estimator is consistent for continuous-time marginal structural models
by Pål C. Ryalen & Mats J. Stensrud & Kjetil Røysland - 639-659 A causal proportional hazards estimator under homogeneous or heterogeneous selection in an IV setting
by Ditte Nørbo Sørensen & Torben Martinussen & Eric Tchetgen Tchetgen - 660-680 Landmark estimation of transition probabilities in non-Markov multi-state models with covariates
by Rune Hoff & Hein Putter & Ingrid Sivesind Mehlum & Jon Michael Gran - 681-695 Modeling marginal features in studies of recurrent events in the presence of a terminal event
by Per Kragh Andersen & Jules Angst & Henrik Ravn - 696-711 Partially hidden multi-state modelling of a prolonged disease state defined by a composite outcome
by Vernon T. Farewell & Li Su & Christopher Jackson - 712-738 Prevalent cohort studies and unobserved heterogeneity
by Niels Keiding & Katrine Lykke Albertsen & Helene Charlotte Rytgaard & Anne Lyngholm Sørensen - 739-756 A dual frailty model for lifetime analysis in maritime transportation
by Robin Henderson & Ralitsa Mihaylova & Paul Oman - 757-780 Extending Bayesian back-calculation to estimate age and time specific HIV incidence
by Francesco Brizzi & Paul J. Birrell & Martyn T. Plummer & Peter Kirwan & Alison E. Brown & Valerie C. Delpech & O. Noel Gill & Daniela Angelis
July 2019, Volume 25, Issue 3
- 381-405 Dealing with death when studying disease or physiological marker: the stochastic system approach to causality
by Daniel Commenges - 406-438 What price semiparametric Cox regression?
by Martin Jullum & Nils Lid Hjort - 439-468 Improved precision in the analysis of randomized trials with survival outcomes, without assuming proportional hazards
by Iván Díaz & Elizabeth Colantuoni & Daniel F. Hanley & Michael Rosenblum - 469-479 Weighted estimation for multivariate shared frailty models for complex surveys
by Jing Wang - 480-506 Proportional cross-ratio model
by Tianle Hu & Bin Nan & Xihong Lin - 507-528 Semiparametric sieve maximum likelihood estimation under cure model with partly interval censored and left truncated data for application to spontaneous abortion
by Yuan Wu & Christina D. Chambers & Ronghui Xu - 529-545 Hidden three-state survival model for bivariate longitudinal count data
by Ardo Hout & Graciela Muniz-Terrera - 546-568 Copula-based score test for bivariate time-to-event data, with application to a genetic study of AMD progression
by Tao Sun & Yi Liu & Richard J. Cook & Wei Chen & Ying Ding - 569-585 An improved variable selection procedure for adaptive Lasso in high-dimensional survival analysis
by Kevin He & Yue Wang & Xiang Zhou & Han Xu & Can Huang
April 2019, Volume 25, Issue 2
- 189-205 Goodness of fit tests for estimating equations based on pseudo-observations
by Klemen Pavlič & Torben Martinussen & Per Kragh Andersen - 206-228 Testing for center effects on survival and competing risks outcomes using pseudo-value regression
by Yanzhi Wang & Brent R. Logan - 229-258 New approaches for censored longitudinal data in joint modelling of longitudinal and survival data, with application to HIV vaccine studies
by Tingting Yu & Lang Wu & Peter Gilbert - 259-279 Parametric estimation of association in bivariate failure-time data subject to competing risks: sensitivity to underlying assumptions
by Jeongyong Kim & Karen Bandeen-Roche - 280-300 The effect of omitted covariates in marginal and partially conditional recurrent event analyses
by Yujie Zhong & Richard J. Cook - 301-321 Nonparametric change point estimation for survival distributions with a partially constant hazard rate
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