OOIR: Observatory of International Research

Papers

(The TQCC of Lifetime Data Analysis is 3. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-08-01 to 2025-08-01.)

Article	Citations
Median regression models for clustered, interval-censored survival data - An application to prostate surgery study	61
On variable selection in a semiparametric AFT mixture cure model	36
Quantile forward regression for high-dimensional survival data	13
Phase-type models for competing risks, with emphasis on identifiability issues	12
A flexible parametric approach for analyzing arbitrarily censored data that are potentially subject to left truncation under the proportional hazards model	11
Evaluation of the natural history of disease by combining incident and prevalent cohorts: application to the Nun Study	9
The built-in selection bias of hazard ratios formalized using structural causal models	8
Conditional modeling of recurrent event data with terminal event	8
Analysis of interval censored survival data in sequential multiple assignment randomized trials	6
Longitudinal mediation analysis of time-to-event endpoints in the presence of competing risks	6
Right-censored models by the expectile method	6
Incorporating delayed entry into the joint frailty model for recurrent events and a terminal event	6
Estimation of separable direct and indirect effects in a continuous-time illness-death model	6
Semi-supervised approach to event time annotation using longitudinal electronic health records	6
Estimation and testing for clustered interval-censored bivariate survival data with application using the semi-parametric version of the Clayton–Oakes model	6
Privacy-preserving estimation of an optimal individualized treatment rule: a case study in maximizing time to severe depression-related outcomes	5
Call for papers for a special issue on survival analysis in artificial intelligence	5
Bias reduction for semi-competing risks frailty model with rare events: application to a chronic kidney disease cohort study in South Korea	5
Prognostic accuracy for predicting ordinal competing risk outcomes using ROC surfaces	5
Copula-based analysis of dependent current status data with semiparametric linear transformation model	5
Bias of the additive hazard model in the presence of causal effect heterogeneity	4
Lifetime analysis with monotonic degradation: a boosted first hitting time model based on a homogeneous gamma process	4
Semiparametric single-index models for optimal treatment regimens with censored outcomes	4
A general class of promotion time cure rate models with a new biological interpretation	4
A boosting first-hitting-time model for survival analysis in high-dimensional settings	4

Consistent and robust inference in hazard probability and odds models with discrete-time survival data	3
Regression models for censored time-to-event data using infinitesimal jack-knife pseudo-observations, with applications to left-truncation	3
Optimal survival analyses with prevalent and incident patients	3
Two-stage pseudo maximum likelihood estimation of semiparametric copula-based regression models for semi-competing risks data	3
Cox model inference for relative hazard and pure risk from stratified weight-calibrated case-cohort data	3
Bayesian semiparametric joint model of multivariate longitudinal and survival data with dependent censoring	3
A nonparametric instrumental approach to confounding in competing risks models	3
Sensitivity Analysis for Observational Studies with Recurrent Events	3
Sample size calculation for clustered survival data under subunit randomization	3
Semiparametric predictive inference for failure data using first-hitting-time threshold regression	3
Choice of time scale for analysis of recurrent events data	3