Cargando…

Cancer Survival Estimates Due to Non-Uniform Loss to Follow-Up and Non-Proportional Hazards

BACKGROUND: Cancer survival depends on loss to follow-up (LFU) and non-proportional hazards (non-PH). If LFU is high, survival will be over-estimated. If hazard is non-PH, rank tests will provide biased inference and Cox-model will provide biased hazard-ratio. We assessed the bias due to LFU and non...

Descripción completa

Detalles Bibliográficos
Autores principales:	K M, Jagathnath Krishna, Mathew, Aleyamma, George, Preethi Sara
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	West Asia Organization for Cancer Prevention 2017
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6373822/ https://www.ncbi.nlm.nih.gov/pubmed/28669157 http://dx.doi.org/10.22034/APJCP.2017.18.6.1493

Ejemplares similares

Cancer Incidence and Mortality: District Cancer Registry, Trivandrum, South India
por: Mathew, Aleyamma, et al.
Publicado: (2017)

Survival analysis: coping with non proportional hazards in randomized trials
por: Royston, Patrick, et al.
Publicado: (2011)

Analysis of survival data from trials with non-proportional hazards: an empirical comparison of methods
por: Royston, Patrick, et al.
Publicado: (2013)

On hazard ratio estimators by proportional hazards models in matched-pair cohort studies
por: Shinozaki, Tomohiro, et al.
Publicado: (2017)

Biased proportional hazard regression estimator in the existence of collinearity
por: Sirohi, Anu, et al.
Publicado: (2023)

Proportional hazards regression
por: O'Quigley, John
Publicado: (2006)

Investigating non-inferiority or equivalence in time-to-event data under non-proportional hazards
por: Möllenhoff, Kathrin, et al.
Publicado: (2023)

Educational Status, Cancer Stage, and Survival in South India: A Population-Based Study
por: Mathew, Aleyamma, et al.
Publicado: (2020)

Extension of Cox Proportional Hazard Model for Estimation of Interrelated Age-Period-Cohort Effects on Cancer Survival
por: Mdzinarishvili, Tengiz, et al.
Publicado: (2011)

Application of random survival forests in understanding the determinants of under-five child mortality in Uganda in the presence of covariates that satisfy the proportional and non-proportional hazards assumption
por: Nasejje, Justine B., et al.
Publicado: (2017)

An approach to trial design and analysis in the era of non-proportional hazards of the treatment effect
por: Royston, Patrick, et al.
Publicado: (2014)

Analysis techniques in the presence of non-proportional hazards (PH); application to an ovarian cancer RCT with long-term follow-up
por: Morden, James, et al.
Publicado: (2015)

Do younger women with non-metastatic and non-inflammatory breast carcinoma have poor prognosis?
por: Mathew, Aleyamma, et al.
Publicado: (2004)

Survival Prediction Based on Compound Covariate under Cox Proportional Hazard Models
por: Emura, Takeshi, et al.
Publicado: (2012)

Non-uniform lattices on uniform trees
por: Carbone, Lisa
Publicado: (2001)

Testing the proportional hazards assumption in cox regression and dealing with possible non-proportionality in total joint arthroplasty research: methodological perspectives and review
por: Kuitunen, Ilari, et al.
Publicado: (2021)

Addressing Loss of Efficiency Due to Misclassification Error in Enriched Clinical Trials for the Evaluation of Targeted Therapies Based on the Cox Proportional Hazards Model
por: Tsai, Chen-An, et al.
Publicado: (2016)

Generating survival times to simulate Cox proportional hazards models with time-varying covariates
por: Austin, Peter C
Publicado: (2012)

Mediation Analysis with Survival Outcomes: Accelerated Failure Time vs. Proportional Hazards Models
por: Gelfand, Lois A., et al.
Publicado: (2016)

Survival time prediction by integrating cox proportional hazards network and distribution function network
por: Baek, Eu-Tteum, et al.
Publicado: (2021)

Tests for the proportional hazards assumption in the Cox model
por: Reiersølmoen, L, et al.
Publicado: (2001)

Investigation of the affective factors on the survival rate of patients with laryngeal cancer using Cox proportional hazards and Lin -Ying’s additive hazards models
por: Zarei, Masoud, et al.
Publicado: (2021)

Estimating the epidemic risk using non-uniformly sampled contact data
por: Fournet, Julie, et al.
Publicado: (2017)

Trapped sweat in basketball uniforms and the effect on sweat loss estimates
por: Baker, Lindsay B., et al.
Publicado: (2017)

Augmenting the logrank test in the design of clinical trials in which non-proportional hazards of the treatment effect may be anticipated
por: Royston, Patrick, et al.
Publicado: (2016)

Testing the proportional hazards assumption in case-cohort analysis
por: Xue, Xiaonan, et al.
Publicado: (2013)

The use of non-uniform drowning terminology: a follow-up study
por: Schmidt, Andrew C., et al.
Publicado: (2017)

Cracking in Reinforced Concrete Cross-Sections Due to Non-Uniformly Distributed Corrosion
por: German, Magdalena, et al.
Publicado: (2023)

Active Cloaking of a Non-Uniform Scatterer
por: Ang, Paris, et al.
Publicado: (2020)

Serum Free Light Chain Assay as a Prognostic Marker in Patients with Aggressive B-Cell Non-Hodgkin's Lymphoma: Impact on Survival Outcome
por: Anoop, T.M., et al.
Publicado: (2022)

Isospectrals of non-uniform Rayleigh beams with respect to their uniform counterparts
por: Bhat K, Srivatsa, et al.
Publicado: (2018)

Empirical study of correlated survival times for recurrent events with proportional hazards margins and the effect of correlation and censoring
por: Villegas, Rodrigo, et al.
Publicado: (2013)

A Flexible Alternative to the Cox Proportional Hazards Model for Assessing the Prognostic Accuracy of Hospice Patient Survival
por: Miladinovic, Branko, et al.
Publicado: (2012)

Generating Survival Times Using Cox Proportional Hazards Models with Cyclic and Piecewise Time-Varying Covariates
por: Huang, Yunda, et al.
Publicado: (2020)

Moving beyond the Cox proportional hazards model in survival data analysis: a cervical cancer study
por: Li, Lixian, et al.
Publicado: (2020)

Survival prediction for patients with glioblastoma multiforme using a Cox proportional hazards denoising autoencoder network
por: Yan, Ting, et al.
Publicado: (2023)

Non-uniformity of lead plates and gaps: Analytical estimates of the shower averaging effect
por: Mansoulié, B
Publicado: (1998)

State Estimation for a Class of Non-Uniform Sampling Systems with Missing Measurements
por: Lin, Honglei, et al.
Publicado: (2016)

Non-uniform polar tagging
por: Moayed, Vesal, et al.
Publicado: (2014)

Life expectancy difference and life expectancy ratio: two measures of treatment effects in randomised trials with non-proportional hazards
por: Dehbi, Hakim-Moulay, et al.
Publicado: (2017)

Cannot write session to /tmp/vufind_sessions/sess_lc2gcfq5h53kp2m1k6a3e3b4q3