Efron-type measures of prediction error for survival analysis.
about
Prognostic value of three different methods of MGMT promoter methylation analysis in a prospective trial on newly diagnosed glioblastomaEvaluating microarray-based classifiers: an overviewTransforming RNA-Seq data to improve the performance of prognostic gene signatures.Explained variation for recurrent event data.Allowing for mandatory covariates in boosting estimation of sparse high-dimensional survival models.Flexible boosting of accelerated failure time models.The validation and assessment of machine learning: a game of prediction from high-dimensional data.Robust prediction of t-year survival with data from multiple studies.Cardiovascular risk associated with interactions among polymorphisms in genes from the renin-angiotensin, bradykinin, and fibrinolytic systemsMeasures of prediction error for survival data with longitudinal covariates.An overview of techniques for linking high-dimensional molecular data to time-to-event endpoints by risk prediction models.Comparison of procedures to assess non-linear and time-varying effects in multivariable models for survival data.Impact of genomic risk factors on outcome after hematopoietic stem cell transplantation for patients with chronic myeloid leukemia.Graph based fusion of miRNA and mRNA expression data improves clinical outcome prediction in prostate cancer.Joint latent class models for longitudinal and time-to-event data: a review.Choice of prognostic estimators in joint models by estimating differences of expected conditional Kullback-Leibler risks.Multicenter validation study of a prognostic index for portal vein tumor thrombosis in hepatocellular carcinoma.A systematic model specification procedure for an illness-death model without recovery.A strategy to build and validate a prognostic biomarker model based on RT-qPCR gene expression and clinical covariates.What variables are important in predicting bovine viral diarrhea virus? A random forest approach.Absolute risk regression for competing risks: interpretation, link functions, and predictionEvaluation of parametric models by the prediction error in colorectal cancer survival analysis.Integrating multiple molecular sources into a clinical risk prediction signature by extracting complementary information.Individualized dynamic prediction of prostate cancer recurrence with and without the initiation of a second treatment: Development and validationThe performance of risk prediction models.Prediction accuracy and variable selection for penalized cause-specific hazards models.Plasma DNA integrity as a biomarker for primary and metastatic breast cancer and potential marker for early diagnosis.Prognostic value of the seventh AJCC/UICC TNM classification of intestinal-type ethmoid adenocarcinoma: Systematic review and risk prediction model.A random forest approach for competing risks based on pseudo-values.Quantifying the predictive accuracy of time-to-event models in the presence of competing risks.Penalized estimation for competing risks regression with applications to high-dimensional covariates.A robust alternative to the schemper-henderson estimator of prediction error.Validation of the Risk Prediction Models STATE-Score and START-Strategy to Guide TACE Treatment in Patients with Hepatocellular Carcinoma.Impact of genomic risk factors on survival after haematopoietic stem cell transplantation for patients with acute leukaemia.Large-scale Radiomic Profiling of Recurrent Glioblastoma Identifies an Imaging Predictor for Stratifying Anti-Angiogenic Treatment Response.Evaluating Random Forests for Survival Analysis using Prediction Error Curves.Tailoring sparse multivariable regression techniques for prognostic single-nucleotide polymorphism signatures.A general, prediction error-based criterion for selecting model complexity for high-dimensional survival models.Probability estimation and machine learning--Editorial.Confidence scores for prediction models.
P2860
Q28731328-43549BCB-8812-433D-BF09-71B79BBE51A7Q28761774-F0F0BF0E-A6A0-4CB0-AE0B-BB6D90963D2EQ30731790-F08EA5FC-0723-46AA-9F30-0B33B9AF4AF0Q30938157-1049A65B-9BE5-442B-9BD3-C797C050F19DQ33314154-7C72C750-1FEC-434A-89CA-34D007974DDCQ33327417-BF3993E5-3274-4720-B76D-C6C073A51325Q33490146-8DC16FD8-062C-4243-992E-3F6F52D50429Q33644852-0F79A2C2-D5A5-467A-8F34-660179D7DE57Q33697706-4CE65C0A-84E6-4BD7-9258-E791BA829F84Q33817175-3FDC561B-A568-42E2-ADB7-AC25A6249435Q33822746-B04B5288-1FD6-49C1-9114-66B0E6D6C0F9Q33822751-57A134D8-BE82-449C-B798-898D13A748D7Q33886172-ADB03B66-02C5-4E63-A9CB-6597E484A002Q34107720-B2C7E4A4-0EF3-44C2-A2BD-0D805DDC9DCAQ34239886-A0D203C7-A037-49F6-AE81-16CE6E64FB80Q34266385-FA39C48B-90C2-492D-A8BF-CE821525174EQ34386046-3CC1AB7D-1FD6-462C-8A7A-72555FA0CBFEQ35392566-345C1F29-E669-4AC1-B64A-C4A36E5537EEQ35604022-FEC82DDC-E81C-44D5-AD2F-BBB4F8DE2DBFQ35886184-7D00A48C-EAFA-41C0-9517-D2E1BE331CBBQ35990465-2C807A4E-D100-448D-B0BD-147769C477BCQ36006130-B86B797A-3BE0-42B0-9C28-0D5F7BE5EED1Q36117938-BE3815E7-4598-405A-B7F4-8807AA29F1A9Q36365734-D9494604-826A-4281-8080-6CDD2E152925Q37229346-810FD049-6C28-47FF-9EEF-E70AAC932ACAQ38649812-58AACB15-30E6-4220-90F1-B9D601D6086FQ38993983-C20EEAC8-E247-4567-AB23-E9F25C784A38Q39031861-F0F910A7-6649-4F50-8A7E-5D0EB845020AQ39448874-B8CF1F9E-605F-409B-B4B4-AB6EA1CB9E51Q39790649-B18BC027-70B9-4D34-BD22-E3C6E65FFEC8Q39819043-FC7ED7F4-F42D-4BE0-881A-B082DC0D83ABQ39858883-C8279BE3-EBE1-4871-A3FB-4F481C2CD230Q40335863-BCE8BEF2-3D8D-44D2-8113-7CF7E3EEA987Q40464375-F13400E0-C8AC-40E3-B98E-0DE7350003BCQ40497804-90D1EB4E-5B15-4172-B0FC-3D2B85D308FCQ41897956-5EFBC67B-383A-4DE7-BEC3-8051066AD08BQ44826618-80E28D87-021F-4E5C-BA88-88BF72D38EF4Q44907837-09B680BE-62A1-4FCB-9EA1-5C2B552F9336Q45956789-6A12A51E-ABA8-4FED-A6FF-95BBB973B009Q51602282-E9698BE5-3A97-430F-88FB-D880D7C4D6EF
P2860
Efron-type measures of prediction error for survival analysis.
description
2007 nî lūn-bûn
@nan
2007年の論文
@ja
2007年学术文章
@wuu
2007年学术文章
@zh
2007年学术文章
@zh-cn
2007年学术文章
@zh-hans
2007年学术文章
@zh-my
2007年学术文章
@zh-sg
2007年學術文章
@yue
2007年學術文章
@zh-hant
name
Efron-type measures of prediction error for survival analysis.
@en
Efron-type measures of prediction error for survival analysis.
@nl
type
label
Efron-type measures of prediction error for survival analysis.
@en
Efron-type measures of prediction error for survival analysis.
@nl
prefLabel
Efron-type measures of prediction error for survival analysis.
@en
Efron-type measures of prediction error for survival analysis.
@nl
P2860
P1433
P1476
Efron-type measures of prediction error for survival analysis.
@en
P2093
Martin Schumacher
Thomas A Gerds
P2860
P304
P356
10.1111/J.1541-0420.2007.00832.X
P407
P577
2007-07-25T00:00:00Z