Lifetime Data Analysis最新文献_第2页

Integrative analysis of high-dimensional RCT and RWD subject to censoring and hidden confounding. 高维RCT与RWD的综合分析。

IF 1.2 3区数学

Lifetime Data Analysis Pub Date : 2025-04-29 DOI: 10.1007/s10985-025-09654-1

Xin Ye, Shu Yang, Xiaofei Wang, Yanyan Liu

{"title":"Integrative analysis of high-dimensional RCT and RWD subject to censoring and hidden confounding.","authors":"Xin Ye, Shu Yang, Xiaofei Wang, Yanyan Liu","doi":"10.1007/s10985-025-09654-1","DOIUrl":"10.1007/s10985-025-09654-1","url":null,"abstract":"In this study, we focus on estimating the heterogeneous treatment effect (HTE) for survival outcome. The outcome is subject to censoring and the number of covariates is high-dimensional. We utilize data from both the randomized controlled trial (RCT), considered as the gold standard, and real-world data (RWD), possibly affected by hidden confounding factors. To achieve a more efficient HTE estimate, such integrative analysis requires great insight into the data generation mechanism, particularly the accurate characterization of unmeasured confounding effects/bias. With this aim, we propose a penalized-regression-based integrative approach that allows for the simultaneous estimation of parameters, selection of variables, and identification of the existence of unmeasured confounding effects. The consistency, asymptotic normality, and efficiency gains are rigorously established for the proposed estimate. Finally, we apply the proposed method to estimate the HTE of lobar/sublobar resection on the survival of lung cancer patients. The RCT is a multicenter non-inferiority randomized phase 3 trial, and the RWD comes from a clinical oncology cancer registry in the United States. The analysis reveals that the unmeasured confounding exists and the integrative approach does enhance the efficiency for the HTE estimation.","PeriodicalId":49908,"journal":{"name":"Lifetime Data Analysis","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144003384","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Quantile regression under dependent censoring with unknown association. 关联未知的相关审查下的分位数回归。

IF 1.2 3区数学

Lifetime Data Analysis Pub Date : 2025-04-01 Epub Date: 2025-03-16 DOI: 10.1007/s10985-025-09647-0

Myrthe D'Haen, Ingrid Van Keilegom, Anneleen Verhasselt

{"title":"Quantile regression under dependent censoring with unknown association.","authors":"Myrthe D'Haen, Ingrid Van Keilegom, Anneleen Verhasselt","doi":"10.1007/s10985-025-09647-0","DOIUrl":"10.1007/s10985-025-09647-0","url":null,"abstract":"The study of survival data often requires taking proper care of the censoring mechanism that prohibits complete observation of the data. Under right censoring, only the first occurring event is observed: either the event of interest, or a competing event like withdrawal of a subject from the study. The corresponding identifiability difficulties led many authors to imposing (conditional) independence or a fully known dependence between survival and censoring times, both of which are not always realistic. However, recent results in survival literature showed that parametric copula models allow identification of all model parameters, including the association parameter, under appropriately chosen marginal distributions. The present paper is the first one to apply such models in a quantile regression context, hence benefiting from its well-known advantages in terms of e.g. robustness and richer inference results. The parametric copula is supplemented with a likewise parametric, yet flexible, enriched asymmetric Laplace distribution for the survival times conditional on the covariates. Its asymmetric Laplace basis provides its close connection to quantiles, while the extension with Laguerre orthogonal polynomials ensures sufficient flexibility for increasing polynomial degrees. The distributional flavour of the quantile regression presented, comes with advantages of both theoretical and computational nature. All model parameters are proven to be identifiable, consistent, and asymptotically normal. Finally, performance of the model and of the proposed estimation procedure is assessed through extensive simulation studies as well as an application on liver transplant data.","PeriodicalId":49908,"journal":{"name":"Lifetime Data Analysis","volume":" ","pages":"253-299"},"PeriodicalIF":1.2,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143639770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Lifetime analysis with monotonic degradation: a boosted first hitting time model based on a homogeneous gamma process. 具有单调退化的寿命分析：一种基于均匀伽马过程的改进的首次撞击时间模型。

IF 1.2 3区数学

Lifetime Data Analysis Pub Date : 2025-04-01 Epub Date: 2025-04-05 DOI: 10.1007/s10985-025-09648-z

Clara Bertinelli Salucci, Azzeddine Bakdi, Ingrid Kristine Glad, Bo Henry Lindqvist, Erik Vanem, Riccardo De Bin

引用次数: 0

Total time on test-based goodness-of-fit statistics for the reciprocal property in fatigue-life models. 疲劳寿命模型中互反特性的基于试验的拟合优度统计的总时间。

IF 1.2 3区数学

Lifetime Data Analysis Pub Date : 2025-04-01 Epub Date: 2025-04-26 DOI: 10.1007/s10985-025-09653-2

Cecilia Castro, Marta Azevedo, Víctor Leiva, Luís Meira-Machado

{"title":"Total time on test-based goodness-of-fit statistics for the reciprocal property in fatigue-life models.","authors":"Cecilia Castro, Marta Azevedo, Víctor Leiva, Luís Meira-Machado","doi":"10.1007/s10985-025-09653-2","DOIUrl":"https://doi.org/10.1007/s10985-025-09653-2","url":null,"abstract":"We propose a new goodness-of-fit procedure designed to verify the reciprocal property that characterizes the fatigue-life or Birnbaum-Saunders (BS) distribution. Under this property, scaling a random variable that takes positive values by its median results in the same distribution as its reciprocal, a feature frequently encountered in reliability and survival studies. Our procedure employs total time on test (TTT) curves to compare the behavior of the observed data and its reciprocal counterpart, capturing both local and global discrepancies through supremum- and area-based statistics. We establish the theoretical validity of these statistics under mild assumptions, showing that they deliver accurate inference for moderate to large samples. Simulation evidence indicates that our TTT-based procedures are sensitive to subtle departures from log-symmetry, particularly when the distribution underlying the data has heavier or lighter tails than the assumed one. Illustrative real data examples further reveal how overlooking deviations from the reciprocal property can distort reliability estimates and predictions of failure times, showing the practical importance of the new goodness-of-fit procedure. Overall, our findings strengthen the BS framework and provide robust tools for model validation and selection when log-symmetric modeling assumptions are in place.","PeriodicalId":49908,"journal":{"name":"Lifetime Data Analysis","volume":"31 2","pages":"422-441"},"PeriodicalIF":1.2,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144054576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A pairwise pseudo-likelihood approach for regression analysis of doubly truncated data. 双截断数据回归分析的两两伪似然方法。

IF 1.2 3区数学

Lifetime Data Analysis Pub Date : 2025-04-01 Epub Date: 2025-03-31 DOI: 10.1007/s10985-025-09649-y

Cunjin Zhao, Peijie Wang, Jianguo Sun

引用次数: 0

Goodness-of-fit testing in the presence of cured data: IPCW approach. 存在固化数据的拟合优度检验：IPCW方法。

IF 1.2 3区数学

Lifetime Data Analysis Pub Date : 2025-04-01 Epub Date: 2025-03-04 DOI: 10.1007/s10985-025-09646-1

Marija Cuparić, Bojana Milošević

引用次数: 0

A flexible Bayesian g-formula for causal survival analyses with time-dependent confounding. 一个灵活的贝叶斯g公式的因果生存分析与时间相关的混淆。

IF 1.2 3区数学

Lifetime Data Analysis Pub Date : 2025-04-01 Epub Date: 2025-04-14 DOI: 10.1007/s10985-025-09652-3

Xinyuan Chen, Liangyuan Hu, Fan Li

引用次数: 0

Robust inverse probability weighted estimators for doubly truncated Cox regression with closed-form standard errors. 具有封闭标准误差的双截断Cox回归的鲁棒逆概率加权估计。

IF 1.2 3区数学

Lifetime Data Analysis Pub Date : 2025-04-01 Epub Date: 2025-04-15 DOI: 10.1007/s10985-025-09650-5

Omar Vazquez, Sharon X Xie

{"title":"Robust inverse probability weighted estimators for doubly truncated Cox regression with closed-form standard errors.","authors":"Omar Vazquez, Sharon X Xie","doi":"10.1007/s10985-025-09650-5","DOIUrl":"10.1007/s10985-025-09650-5","url":null,"abstract":"Survival data is doubly truncated when only participants who experience an event during a random interval are included in the sample. Existing methods typically correct for double truncation bias in Cox regression through inverse probability weighting via the nonparametric maximum likelihood estimate (NPMLE) of the selection probabilities. This approach relies on two key assumptions, quasi-independent truncation and positivity of the sampling probabilities, yet there are no methods available to thoroughly assess these assumptions in the regression context. Furthermore, these estimators can be particularly sensitive to extreme event times. Finally, current double truncation methods rely on bootstrapping for variance estimation. Aside from the unnecessary computational burden, there are often identifiability issues with the NPMLE during bootstrap resampling. To address these limitations of current methods, we propose a class of robust Cox regression coefficient estimators with time-varying inverse probability weights and extend these estimators to conduct sensitivity analysis regarding possible non-positivity of the sampling probabilities. Also, we develop a nonparametric test and graphical diagnostic for verifying the quasi-independent truncation assumption. Finally, we provide closed-form standard errors for the NPMLE as well as for the proposed estimators. The proposed estimators are evaluated through extensive simulations and illustrated using an AIDS study.","PeriodicalId":49908,"journal":{"name":"Lifetime Data Analysis","volume":"31 2","pages":"364-393"},"PeriodicalIF":1.2,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12043752/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144049810","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Author correction to: "causal survival analysis under competing risks using longitudinal modified treatment policies". 作者更正：“使用纵向修正治疗政策的竞争风险下的因果生存分析”。

IF 1.2 3区数学

Lifetime Data Analysis Pub Date : 2025-04-01 Epub Date: 2025-04-14 DOI: 10.1007/s10985-025-09651-4

Iván Díaz, Nicholas Williams, Katherine L Hoffman, Nima S Hejazi

{"title":"Author correction to: \"causal survival analysis under competing risks using longitudinal modified treatment policies\".","authors":"Iván Díaz, Nicholas Williams, Katherine L Hoffman, Nima S Hejazi","doi":"10.1007/s10985-025-09651-4","DOIUrl":"https://doi.org/10.1007/s10985-025-09651-4","url":null,"abstract":"The published version of the manuscript (D´iaz, Hoffman, Hejazi Lifetime Data Anal 30, 213-236, 2024) contained an error (We would like to thank Kara Rudolph for pointing out an issue that led to uncovering the error)) in the definition of the outcome that had cascading effects and created errors in the definition of multiple objects in the paper. We correct those errors here. For completeness, we reproduce the entire manuscript, underlining places where we made a correction.Longitudinal modified treatment policies (LMTP) have been recently developed as a novel method to define and estimate causal parameters that depend on the natural value of treatment. LMTPs represent an important advancement in causal inference for longitudinal studies as they allow the non-parametric definition and estimation of the joint effect of multiple categorical, ordinal, or continuous treatments measured at several time points. We extend the LMTP methodology to problems in which the outcome is a time-to-event variable subject to a competing event that precludes observation of the event of interest. We present identification results and non-parametric locally efficient estimators that use flexible data-adaptive regression techniques to alleviate model misspecification bias, while retaining important asymptotic properties such as <math><msqrt><mi>n</mi></msqrt> </math> -consistency. We present an application to the estimation of the effect of the time-to-intubation on acute kidney injury amongst COVID- 19 hospitalized patients, where death by other causes is taken to be the competing event.","PeriodicalId":49908,"journal":{"name":"Lifetime Data Analysis","volume":"31 2","pages":"442-471"},"PeriodicalIF":1.2,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144025067","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Two-stage pseudo maximum likelihood estimation of semiparametric copula-based regression models for semi-competing risks data. 针对半竞争风险数据的半参数 copula 回归模型的两阶段伪极大似然估计。

IF 1.2 3区数学

Lifetime Data Analysis Pub Date : 2025-01-01 Epub Date: 2024-10-23 DOI: 10.1007/s10985-024-09640-z

Sakie J Arachchige, Xinyuan Chen, Qian M Zhou

{"title":"Two-stage pseudo maximum likelihood estimation of semiparametric copula-based regression models for semi-competing risks data.","authors":"Sakie J Arachchige, Xinyuan Chen, Qian M Zhou","doi":"10.1007/s10985-024-09640-z","DOIUrl":"10.1007/s10985-024-09640-z","url":null,"abstract":"We propose a two-stage estimation procedure for a copula-based model with semi-competing risks data, where the non-terminal event is subject to dependent censoring by the terminal event, and both events are subject to independent censoring. With a copula-based model, the marginal survival functions of individual event times are specified by semiparametric transformation models, and the dependence between the bivariate event times is specified by a parametric copula function. For the estimation procedure, in the first stage, the parameters associated with the marginal of the terminal event are estimated using only the corresponding observed outcomes, and in the second stage, the marginal parameters for the non-terminal event time and the copula parameter are estimated together via maximizing a pseudo-likelihood function based on the joint distribution of the bivariate event times. We derived the asymptotic properties of the proposed estimator and provided an analytic variance estimator for inference. Through simulation studies, we showed that our approach leads to consistent estimates with less computational cost and more robustness than the one-stage procedure developed in Chen YH (Lifetime Data Anal 18:36-57, 2012), where all parameters were estimated simultaneously. In addition, our approach demonstrates more desirable finite-sample performances over another existing two-stage estimation method proposed in Zhu H et al., (Commu Statistics-Theory Methods 51(22):7830-7845, 2021) . An R package PMLE4SCR is developed to implement our proposed method.","PeriodicalId":49908,"journal":{"name":"Lifetime Data Analysis","volume":" ","pages":"52-75"},"PeriodicalIF":1.2,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142511911","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0