Lifetime Data Analysis最新文献_第8页

A series of two-sample non-parametric tests for quantile residual life time. 量子残差寿命的一系列双样本非参数检验。

IF 1.3 3区数学

Lifetime Data Analysis Pub Date : 2023-01-01 Epub Date: 2023-01-02 DOI: 10.1007/s10985-022-09580-6

Yimeng Liu, Liwen Wu, Gong Tang, Abdus S Wahed

{"title":"A series of two-sample non-parametric tests for quantile residual life time.","authors":"Yimeng Liu, Liwen Wu, Gong Tang, Abdus S Wahed","doi":"10.1007/s10985-022-09580-6","DOIUrl":"10.1007/s10985-022-09580-6","url":null,"abstract":"Quantile residual lifetime (QRL) is of significant interest in many clinical studies as an easily interpretable quantity compared to other summary measures of survival distributions. In cancer or other chronic diseases, treatments are often compared based on the distributions or quantiles of the residual lifetime. Thus a common problem of interest is to test the equality of the QRL between two populations. In this paper, we propose two classes of tests to compare two QRLs; one class is based on the difference between two estimated QRLs, and the other is based on the estimating function of the QRL, where the estimated QRL from one sample is plugged into the QRL-estimating-function of the other sample. We outline the asymptotic properties of these test statistics. Simulation studies demonstrate that the proposed tests produced Type I errors closer to the nominal level and are superior to some existing tests based on both Type I error and power. Our proposed test statistics are also computationally less intensive and more straightforward compared to tests based on the confidence intervals. We applied the proposed methods to a randomized multicenter phase III trial for breast cancer patients.","PeriodicalId":49908,"journal":{"name":"Lifetime Data Analysis","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10642537","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

Semiparametric regression analysis of doubly-censored data with applications to incubation period estimation. 双截尾数据的半参数回归分析及其在潜伏期估计中的应用。

IF 1.3 3区数学

Lifetime Data Analysis Pub Date : 2023-01-01 DOI: 10.1007/s10985-022-09567-3

Kin Yau Wong, Qingning Zhou, Tao Hu

引用次数: 3

A uniformisation-driven algorithm for inference-related estimation of a phase-type ageing model. 相位型老化模型推理相关估计的均匀化驱动算法。

IF 1.3 3区数学

Lifetime Data Analysis Pub Date : 2023-01-01 DOI: 10.1007/s10985-022-09577-1

Boquan Cheng, Rogemar Mamon

引用次数: 1

Joint modeling of generalized scale-change models for recurrent event and failure time data. 重复事件与失效时间数据的广义尺度变化模型联合建模。

IF 1.3 3区数学

Lifetime Data Analysis Pub Date : 2023-01-01 DOI: 10.1007/s10985-022-09573-5

Xiaoyu Wang, Liuquan Sun

引用次数: 0

Flexible two-piece distributions for right censored survival data. 右截尾生存数据的灵活的两件式分布。

IF 1.3 3区数学

Lifetime Data Analysis Pub Date : 2023-01-01 DOI: 10.1007/s10985-022-09574-4

Worku B Ewnetu, Irène Gijbels, Anneleen Verhasselt

{"title":"Flexible two-piece distributions for right censored survival data.","authors":"Worku B Ewnetu, Irène Gijbels, Anneleen Verhasselt","doi":"10.1007/s10985-022-09574-4","DOIUrl":"https://doi.org/10.1007/s10985-022-09574-4","url":null,"abstract":"An important complexity in censored data is that only partial information on the variables of interest is observed. In recent years, a large family of asymmetric distributions and maximum likelihood estimation for the parameters in that family has been studied, in the complete data case. In this paper, we exploit the appealing family of quantile-based asymmetric distributions to obtain flexible distributions for modelling right censored survival data. The flexible distributions can be generated using a variety of symmetric distributions and monotonic link functions. The interesting feature of this family is that the location parameter coincides with an index-parameter quantile of the distribution. This family is also suitable to characterize different shapes of the hazard function (constant, increasing, decreasing, bathtub and upside-down bathtub or unimodal shapes). Statistical inference is done for the whole family of distributions. The parameter estimation is carried out by optimizing a non-differentiable likelihood function. The asymptotic properties of the estimators are established. The finite-sample performance of the proposed method and the impact of censorship are investigated via simulations. Finally, the methodology is illustrated on two real data examples (times to weaning in breast-fed data and German Breast Cancer data).","PeriodicalId":49908,"journal":{"name":"Lifetime Data Analysis","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9196524","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

Special issue dedicated to David Oakes. 大卫·奥克斯的特刊。

IF 1.3 3区数学

Lifetime Data Analysis Pub Date : 2022-10-01 DOI: 10.1007/s10985-022-09572-6

Jong H Jeong, Amita K Manatunga

引用次数: 0

Choice of time scale for analysis of recurrent events data. 重复事件数据分析的时间尺度选择。

IF 1.3 3区数学

Lifetime Data Analysis Pub Date : 2022-10-01 Epub Date: 2022-08-15 DOI: 10.1007/s10985-022-09569-1

Philip Hougaard

引用次数: 0

Inference for transition probabilities in non-Markov multi-state models. 非马尔可夫多状态模型中转移概率的推断。

IF 1.3 3区数学

Lifetime Data Analysis Pub Date : 2022-10-01 Epub Date: 2022-06-28 DOI: 10.1007/s10985-022-09560-w

Per Kragh Andersen, Eva Nina Sparre Wandall, Maja Pohar Perme

引用次数: 1

On the targets of inference with multivariate failure time data. 多变量失效时间数据的推理目标。

IF 1.3 3区数学

Lifetime Data Analysis Pub Date : 2022-10-01 Epub Date: 2022-06-21 DOI: 10.1007/s10985-022-09558-4

Ross L Prentice

引用次数: 0

Semiparametric single-index models for optimal treatment regimens with censored outcomes. 具有审查结果的最佳治疗方案的半参数单指标模型。

IF 1.3 3区数学

Lifetime Data Analysis Pub Date : 2022-10-01 DOI: 10.1007/s10985-022-09566-4

Jin Wang, Donglin Zeng, D Y Lin

{"title":"Semiparametric single-index models for optimal treatment regimens with censored outcomes.","authors":"Jin Wang, Donglin Zeng, D Y Lin","doi":"10.1007/s10985-022-09566-4","DOIUrl":"https://doi.org/10.1007/s10985-022-09566-4","url":null,"abstract":"There is a growing interest in precision medicine, where a potentially censored survival time is often the most important outcome of interest. To discover optimal treatment regimens for such an outcome, we propose a semiparametric proportional hazards model by incorporating the interaction between treatment and a single index of covariates through an unknown monotone link function. This model is flexible enough to allow non-linear treatment-covariate interactions and yet provides a clinically interpretable linear rule for treatment decision. We propose a sieve maximum likelihood estimation approach, under which the baseline hazard function is estimated nonparametrically and the unknown link function is estimated via monotone quadratic B-splines. We show that the resulting estimators are consistent and asymptotically normal with a covariance matrix that attains the semiparametric efficiency bound. The optimal treatment rule follows naturally as a linear combination of the maximum likelihood estimators of the model parameters. Through extensive simulation studies and an application to an AIDS clinical trial, we demonstrate that the treatment rule derived from the single-index model outperforms the treatment rule under the standard Cox proportional hazards model.","PeriodicalId":49908,"journal":{"name":"Lifetime Data Analysis","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10349573/pdf/nihms-1913037.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9775484","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