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Weibull parametric model for survival analysis in women with endometrial cancer using clinical and T2-weighted MRI radiomic features
BackgroundSemiparametric survival analysis such as the Cox proportional hazards (CPH) regression model is commonly employed in endometrial cancer...
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SurvInt: a simple tool to obtain precise parametric survival extrapolations
BackgroundEconomic evaluation of emerging health technologies is mandated by agencies such as the National Institute for Health and Care Excellence...
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Bayesian parametric models for survival prediction in medical applications
BackgroundEvidence-based treatment decisions in medicine are made founded on population-level evidence obtained during randomized clinical trials. In...
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Survival among children under-five in India: a parametric multilevel survival approach
BackgroundMany studies have been conducted on under-five mortality in India and most of them focused on the associations between individual-level...
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Post-surgery survival and associated factors for cardiac patients in Ethiopia: applications of machine learning, semi-parametric and parametric modelling
IntroductionLiving in poverty, especially in low-income countries, are more affected by cardiovascular disease. Unlike the developed countries, it...
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Modelling multiple time-scales with flexible parametric survival models
BackgroundThere are situations when we need to model multiple time-scales in survival analysis. A usual approach in this setting would involve...
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Analysis of the survival time of patients with heart failure with reduced ejection fraction: a Bayesian approach via a competing risk parametric model
PurposeHeart failure (HF) is a widespread ailment and is a primary contributor to hospital admissions. The focus of this study was to identify...
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Extrapolating empirical long-term survival data: the impact of updated follow-up data and parametric extrapolation methods on survival estimates in multiple myeloma
BackgroundIn economic evaluations, survival is often extrapolated to smooth out the Kaplan-Meier estimate and because the available data (e.g., from...
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A parametric additive hazard model for time-to-event analysis
BackgroundIn recent years, the use of non- and semi-parametric models which estimate hazard ratios for analysing time-to-event outcomes is...
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Informed Bayesian survival analysis
BackgroundWe provide an overview of Bayesian estimation, hypothesis testing, and model-averaging and illustrate how they benefit parametric survival...
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Structured expert elicitation to inform long-term survival extrapolations using alternative parametric distributions: a case study of CAR T therapy for relapsed/ refractory multiple myeloma
BackgroundOur aim was to extend traditional parametric models used to extrapolate survival in cost-effectiveness analyses (CEAs) by integrating...
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Improved nonparametric survival prediction using CoxPH, Random Survival Forest & DeepHit Neural Network
In recent times, time-to-event data such as time to failure or death is routinely collected alongside high-throughput covariates. These...
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Survival analysis under imperfect record linkage using historic census data
BackgroundAdvancements in linking publicly available census records with vital and administrative records have enabled novel investigations in...
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Drug Survival of IL-17 and IL-23 Inhibitors for Psoriasis: A Systematic Review and Meta-Analysis
Background and ObjectiveThe most recently approved biologics for moderate-to-severe psoriasis are the interleukin (IL)-17 and IL-23 inhibitors. Drug...
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Prevalence and associated factors of teenage childbearing among Ethiopian women using semi-parametric and parametric proportional hazard and accelerated failure time models
BackgroundTeenage childbearing is a common issue for young people’s sexual and reproductive health in the world, particularly in low-income...
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INES: Interactive tool for construction and extrapolation of partitioned survival models
BackgroundINES (INteractive model for Extrapolation of Survival and cost) provides an open-access tool powered by R that implements three-state...
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Whole-tumor histogram analysis of multi-parametric MRI for differentiating brain metastases histological subtypes in lung cancers: relationship with the Ki-67 proliferation index
This study aims to investigate the predictive value of preoperative whole-tumor histogram analysis of multi-parametric MRI for histological subtypes...
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survextrap: a package for flexible and transparent survival extrapolation
BackgroundHealth policy decisions are often informed by estimates of long-term survival based primarily on short-term data. A range of methods are...
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Modeling time to death for under-five children in Malawi using 2015/16 Demographic and Health Survey: a survival analysis
BackgroundMalawi has one of the highest under-five mortality rates in Sub Sahara Africa. Understanding the factors that contribute to child mortality...
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Flexible parametric methods for calculating life expectancy in small populations
BackgroundLife expectancy is a simple measure of assessing health differences between two or more populations but current life expectancy...
