Lifetime Data Analysis最新文献_第8页

A nonparametric instrumental approach to confounding in competing risks models. 竞争风险模型中混淆的非参数工具方法。

IF 1.3 3区数学

Lifetime Data Analysis Pub Date : 2023-10-01 Epub Date: 2023-05-09 DOI: 10.1007/s10985-023-09599-3

Jad Beyhum, Jean-Pierre Florens, Ingrid Van Keilegom

引用次数: 0

Quantile forward regression for high-dimensional survival data. 高维生存数据的分位数前向回归。

IF 1.2 3区数学

Lifetime Data Analysis Pub Date : 2023-10-01 Epub Date: 2023-07-02 DOI: 10.1007/s10985-023-09603-w

Eun Ryung Lee, Seyoung Park, Sang Kyu Lee, Hyokyoung G Hong

引用次数: 0

Investigating non-inferiority or equivalence in time-to-event data under non-proportional hazards. 调查非比例风险下时间事件数据的非劣效性或等效性。

IF 1.3 3区数学

Lifetime Data Analysis Pub Date : 2023-07-01 DOI: 10.1007/s10985-023-09589-5

Kathrin Möllenhoff, Achim Tresch

{"title":"Investigating non-inferiority or equivalence in time-to-event data under non-proportional hazards.","authors":"Kathrin Möllenhoff, Achim Tresch","doi":"10.1007/s10985-023-09589-5","DOIUrl":"https://doi.org/10.1007/s10985-023-09589-5","url":null,"abstract":"The classical approach to analyze time-to-event data, e.g. in clinical trials, is to fit Kaplan-Meier curves yielding the treatment effect as the hazard ratio between treatment groups. Afterwards, a log-rank test is commonly performed to investigate whether there is a difference in survival or, depending on additional covariates, a Cox proportional hazard model is used. However, in numerous trials these approaches fail due to the presence of non-proportional hazards, resulting in difficulties of interpreting the hazard ratio and a loss of power. When considering equivalence or non-inferiority trials, the commonly performed log-rank based tests are similarly affected by a violation of this assumption. Here we propose a parametric framework to assess equivalence or non-inferiority for survival data. We derive pointwise confidence bands for both, the hazard ratio and the difference of the survival curves. Further we propose a test procedure addressing non-inferiority and equivalence by directly comparing the survival functions at certain time points or over an entire range of time. Once the model's suitability is proven the method provides a noticeable power benefit, irrespectively of the shape of the hazard ratio. On the other hand, model selection should be carried out carefully as misspecification may cause type I error inflation in some situations. We investigate the robustness and demonstrate the advantages and disadvantages of the proposed methods by means of a simulation study. Finally, we demonstrate the validity of the methods by a clinical trial example.","PeriodicalId":49908,"journal":{"name":"Lifetime Data Analysis","volume":"29 3","pages":"483-507"},"PeriodicalIF":1.3,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10258187/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9624247","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: 2

Incorporating delayed entry into the joint frailty model for recurrent events and a terminal event. 将延迟进入纳入复发事件和最终事件的联合脆弱性模型。

IF 1.3 3区数学

Lifetime Data Analysis Pub Date : 2023-07-01 DOI: 10.1007/s10985-022-09587-z

Marie Böhnstedt, Jutta Gampe, Monique A A Caljouw, Hein Putter

{"title":"Incorporating delayed entry into the joint frailty model for recurrent events and a terminal event.","authors":"Marie Böhnstedt, Jutta Gampe, Monique A A Caljouw, Hein Putter","doi":"10.1007/s10985-022-09587-z","DOIUrl":"https://doi.org/10.1007/s10985-022-09587-z","url":null,"abstract":"In studies of recurrent events, joint modeling approaches are often needed to allow for potential dependent censoring by a terminal event such as death. Joint frailty models for recurrent events and death with an additional dependence parameter have been studied for cases in which individuals are observed from the start of the event processes. However, samples are often selected at a later time, which results in delayed entry so that only individuals who have not yet experienced the terminal event will be included. In joint frailty models such left truncation has effects on the frailty distribution that need to be accounted for in both the recurrence process and the terminal event process, if the two are associated. We demonstrate, in a comprehensive simulation study, the effects that not adjusting for late entry can have and derive the correctly adjusted marginal likelihood, which can be expressed as a ratio of two integrals over the frailty distribution. We extend the estimation method of Liu and Huang (Stat Med 27:2665-2683, 2008. https://doi.org/10.1002/sim.3077 ) to include potential left truncation. Numerical integration is performed by Gaussian quadrature, the baseline intensities are specified as piecewise constant functions, potential covariates are assumed to have multiplicative effects on the intensities. We apply the method to estimate age-specific intensities of recurrent urinary tract infections and mortality in an older population.","PeriodicalId":49908,"journal":{"name":"Lifetime Data Analysis","volume":"29 3","pages":"585-607"},"PeriodicalIF":1.3,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9615411","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

On a simple estimation of the proportional odds model under right truncation. 右截断下比例赔率模型的简单估计。

IF 1.3 3区数学

Lifetime Data Analysis Pub Date : 2023-07-01 DOI: 10.1007/s10985-022-09584-2

Peng Liu, Kwun Chuen Gary Chan, Ying Qing Chen

引用次数: 0

A semi-parametric weighted likelihood approach for regression analysis of bivariate interval-censored outcomes from case-cohort studies. 半参数加权似然方法对病例队列研究的双变量区间审查结果进行回归分析。

IF 1.3 3区数学

Lifetime Data Analysis Pub Date : 2023-07-01 DOI: 10.1007/s10985-023-09593-9

Yichen Lou, Peijie Wang, Jianguo Sun

引用次数: 0

Regression models for censored time-to-event data using infinitesimal jack-knife pseudo-observations, with applications to left-truncation. 使用无限小锯齿伪观测的截尾时间到事件数据的回归模型，以及左截断的应用。

IF 1.3 3区数学

Lifetime Data Analysis Pub Date : 2023-07-01 DOI: 10.1007/s10985-023-09597-5

Erik T Parner, Per K Andersen, Morten Overgaard

{"title":"Regression models for censored time-to-event data using infinitesimal jack-knife pseudo-observations, with applications to left-truncation.","authors":"Erik T Parner, Per K Andersen, Morten Overgaard","doi":"10.1007/s10985-023-09597-5","DOIUrl":"https://doi.org/10.1007/s10985-023-09597-5","url":null,"abstract":"Jack-knife pseudo-observations have in recent decades gained popularity in regression analysis for various aspects of time-to-event data. A limitation of the jack-knife pseudo-observations is that their computation is time consuming, as the base estimate needs to be recalculated when leaving out each observation. We show that jack-knife pseudo-observations can be closely approximated using the idea of the infinitesimal jack-knife residuals. The infinitesimal jack-knife pseudo-observations are much faster to compute than jack-knife pseudo-observations. A key assumption of the unbiasedness of the jack-knife pseudo-observation approach is on the influence function of the base estimate. We reiterate why the condition on the influence function is needed for unbiased inference and show that the condition is not satisfied for the Kaplan-Meier base estimate in a left-truncated cohort. We present a modification of the infinitesimal jack-knife pseudo-observations that provide unbiased estimates in a left-truncated cohort. The computational speed and medium and large sample properties of the jack-knife pseudo-observations and infinitesimal jack-knife pseudo-observation are compared and we present an application of the modified infinitesimal jack-knife pseudo-observations in a left-truncated cohort of Danish patients with diabetes.","PeriodicalId":49908,"journal":{"name":"Lifetime Data Analysis","volume":"29 3","pages":"654-671"},"PeriodicalIF":1.3,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10258172/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9622679","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

Consistent and robust inference in hazard probability and odds models with discrete-time survival data. 具有离散时间生存数据的风险概率和几率模型的一致和稳健推断。

IF 1.3 3区数学

Lifetime Data Analysis Pub Date : 2023-07-01 DOI: 10.1007/s10985-022-09585-1

Zhiqiang Tan

{"title":"Consistent and robust inference in hazard probability and odds models with discrete-time survival data.","authors":"Zhiqiang Tan","doi":"10.1007/s10985-022-09585-1","DOIUrl":"https://doi.org/10.1007/s10985-022-09585-1","url":null,"abstract":"For discrete-time survival data, conditional likelihood inference in Cox's hazard odds model is theoretically desirable but exact calculation is numerical intractable with a moderate to large number of tied events. Unconditional maximum likelihood estimation over both regression coefficients and baseline hazard probabilities can be problematic with a large number of time intervals. We develop new methods and theory using numerically simple estimating functions, along with model-based and model-robust variance estimation, in hazard probability and odds models. For the probability hazard model, we derive as a consistent estimator the Breslow-Peto estimator, previously known as an approximation to the conditional likelihood estimator in the hazard odds model. For the hazard odds model, we propose a weighted Mantel-Haenszel estimator, which satisfies conditional unbiasedness given the numbers of events in addition to the risk sets and covariates, similarly to the conditional likelihood estimator. Our methods are expected to perform satisfactorily in a broad range of settings, with small or large numbers of tied events corresponding to a large or small number of time intervals. The methods are implemented in the R package dSurvival.","PeriodicalId":49908,"journal":{"name":"Lifetime Data Analysis","volume":"29 3","pages":"555-584"},"PeriodicalIF":1.3,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9613466","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: 1

Combined estimating equation approaches for the additive hazards model with left-truncated and interval-censored data. 左截距和区间截距数据加性危害模型的联合估计方程方法。

IF 1.3 3区数学

Lifetime Data Analysis Pub Date : 2023-07-01 DOI: 10.1007/s10985-023-09596-6

Tianyi Lu, Shuwei Li, Liuquan Sun

{"title":"Combined estimating equation approaches for the additive hazards model with left-truncated and interval-censored data.","authors":"Tianyi Lu, Shuwei Li, Liuquan Sun","doi":"10.1007/s10985-023-09596-6","DOIUrl":"https://doi.org/10.1007/s10985-023-09596-6","url":null,"abstract":"Interval-censored failure time data arise commonly in various scientific studies where the failure time of interest is only known to lie in a certain time interval rather than observed exactly. In addition, left truncation on the failure event may occur and can greatly complicate the statistical analysis. In this paper, we investigate regression analysis of left-truncated and interval-censored data with the commonly used additive hazards model. Specifically, we propose a conditional estimating equation approach for the estimation, and further improve its estimation efficiency by combining the conditional estimating equation and the pairwise pseudo-score-based estimating equation that can eliminate the nuisance functions from the marginal likelihood of the truncation times. Asymptotic properties of the proposed estimators are discussed including the consistency and asymptotic normality. Extensive simulation studies are conducted to evaluate the empirical performance of the proposed methods, and suggest that the combined estimating equation approach is obviously more efficient than the conditional estimating equation approach. We then apply the proposed methods to a set of real data for illustration.","PeriodicalId":49908,"journal":{"name":"Lifetime Data Analysis","volume":"29 3","pages":"672-697"},"PeriodicalIF":1.3,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9670548","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: 2

Latency function estimation under the mixture cure model when the cure status is available. 在可获得治愈状态的混合治愈模型下的延迟函数估计。

IF 1.2 3区数学

Lifetime Data Analysis Pub Date : 2023-07-01 Epub Date: 2023-03-08 DOI: 10.1007/s10985-023-09591-x

Wende Clarence Safari, Ignacio López-de-Ullibarri, María Amalia Jácome

引用次数: 0