A relative survival regression model using B-spline functions to model non-proportional hazards.
about
Estimating and modeling the cure fraction in population-based cancer survival analysisA multilevel excess hazard model to estimate net survival on hierarchical data allowing for non-linear and non-proportional effects of covariates.Doubly robust estimator for net survival rate in analyses of cancer registry data.Regression splines in the time-dependent coefficient rates model for recurrent event data.The performance of multiple imputation for missing covariate data within the context of regression relative survival analysis.Estimation of age- and stage-specific Catalan breast cancer survival functions using US and Catalan survival dataOn comparison of net survival curvesCompeting risk models to estimate the excess mortality and the first recurrent-event hazardsModeling survival in colon cancer: a methodological reviewA class of transformation covariate regression models for estimating the excess hazard in relative survival analysisDynamic regression hazards models for relative survival.The impact of additional life-table variables on excess mortality estimates.Performance of two formal tests based on martingales residuals to check the proportional hazard assumption and the functional form of the prognostic factors in flexible parametric excess hazard models.A log-rank-type test to compare net survival distributions.A multistate additive relative survival semi-Markov model.Relative survival multistate Markov model.A model combining excess and relative mortality for population-based studies.Reply to Letter to the Editor by Remontet et al.Trends in excess mortality in follicular lymphoma at a population level.Explained variation of excess hazard models.Estimating net survival: the importance of allowing for informative censoring.A Threshold Hazard Model for Estimating Serious Infection Risk Following Anti-Tumor Necrosis Factor Therapy in Rheumatoid Arthritis PatientsFlexible modeling of the effects of continuous prognostic factors in relative survival
P2860
Q29041007-B6DF9F49-7DDD-4100-B2F8-0856952F9445Q31049883-0800C39D-4837-44E5-904D-FA6C95237C05Q31118875-9CBF1EA1-AAFC-4B48-9F7C-881DB16EE5BBQ31171240-341B8C0F-9F26-4041-A67C-08541B4DB716Q33385717-EC51E9DC-C28C-4292-A68F-2A42BEAD025CQ33424050-55FF5EE2-03F5-45AA-8CA7-CA57B20D03F2Q33630656-573B28D9-2AED-42D7-AA06-843988C85C0DQ33911799-AB95BAD1-F26B-4340-92DE-A957B51BA66BQ36734137-30C17184-719B-4273-979F-D4F80A857154Q36880138-FF0EACCD-68C7-4977-B90D-755A361013ECQ37331488-CD78899E-3F35-4FC1-BFEF-FA655691CE88Q38431412-8BB4F106-BF52-41D3-989B-5C5EBC485442Q38882675-BB21B19E-80AD-4828-8F12-06199A8708B4Q40047978-656FC252-FB65-46F0-938A-CE3C815FB09DQ40856427-0FB6DB6E-E3D6-4CE0-9918-4FA9D81D8399Q43884401-190D4F5F-E952-4FF6-937F-A8910DC40755Q44774657-1E7C2604-F250-474E-914C-A1B2978B4941Q45896579-A470A3D1-3654-4683-8D11-8BC485ADA201Q48072671-C462977D-4E09-4DB2-8B8A-2C0296A17F51Q52327080-2CA0C1A2-E4FD-4061-ABB5-657330F24CEFQ53094822-E5DC7E16-D600-4B60-AB42-711F78CC58CBQ56969649-165EE50F-41A4-474B-A7AB-BE69F9AC540BQ58160413-4D296BBF-C593-442C-B58F-5498E20B6AB6
P2860
A relative survival regression model using B-spline functions to model non-proportional hazards.
description
2003 nî lūn-bûn
@nan
2003年の論文
@ja
2003年学术文章
@wuu
2003年学术文章
@zh
2003年学术文章
@zh-cn
2003年学术文章
@zh-hans
2003年学术文章
@zh-my
2003年学术文章
@zh-sg
2003年學術文章
@yue
2003年學術文章
@zh-hant
name
A relative survival regression ...... odel non-proportional hazards.
@en
A relative survival regression ...... odel non-proportional hazards.
@nl
type
label
A relative survival regression ...... odel non-proportional hazards.
@en
A relative survival regression ...... odel non-proportional hazards.
@nl
prefLabel
A relative survival regression ...... odel non-proportional hazards.
@en
A relative survival regression ...... odel non-proportional hazards.
@nl
P2093
P50
P356
P1476
A relative survival regression ...... odel non-proportional hazards.
@en
P2093
Jacques Esteve
Jean Faivre
Joanny Gouvernet
Philippe Bolard
P304
P356
10.1002/SIM.1484
P407
P577
2003-09-01T00:00:00Z