Assessing treatment-selection markers using a potential outcomes framework.
about
Analyzing longitudinal data to characterize the accuracy of markers used to select treatmentIncreasing efficiency for estimating treatment-biomarker interactions with historical data.Tutorial in biostatistics: data-driven subgroup identification and analysis in clinical trials.Evaluating marker-guided treatment selection strategies.Evaluating surrogate endpoints, prognostic markers, and predictive markers: Some simple themes.Sensitivity, Specificity, PPV, and NPV for Predictive Biomarkers.The Fundamental Difficulty With Evaluating the Accuracy of Biomarkers for Guiding TreatmentDesigning a study to evaluate the benefit of a biomarker for selecting patient treatment.Surrogate Endpoint Evaluation: Principal Stratification Criteria and the Prentice Definition.The Use of Covariates and Random Effects in Evaluating Predictive Biomarkers Under a Potential Outcome Framework.Comparing and combining biomarkers as principle surrogates for time-to-event clinical endpoints.Personalized Evaluation of Biomarker Value: A Cost-Benefit Perspective.Single index methods for evaluation of marker-guided treatment rules based on multivariate marker panels.Identification of predicted individual treatment effects in randomized clinical trials.Characterizing expected benefits of biomarkers in treatment selection.Assessing the heterogeneity of treatment effects via potential outcomes of individual patients.Case-only approach to identifying markers predicting treatment effects on the relative risk scale.Evaluation of biomarkers for treatment selection using individual participant data from multiple clinical trials.Identification of subpopulations with distinct treatment benefit rate using the Bayesian tree.
P2860
Q30776465-5672ABBC-6BE8-4743-A76D-44B5429397A0Q30826349-50F12E34-1BE8-4E20-9CD9-EAB614A39A37Q31119441-DC2C0097-3A76-4EE4-82D5-57B42D3D1D03Q34422281-84A4E2D6-5B94-4348-B5D9-A6B25FF11DA1Q35672166-68808528-1360-497C-9E14-A058490F8744Q36173506-30AAAEAD-63D0-4F03-96E5-8F943C86E1CDQ36173510-2E1D42C8-FB60-491F-8F70-FF4DF218A9F9Q36225623-5EBFB80E-A9EC-454A-BB28-B988E2514EEAQ36407392-75238DAE-962A-43BE-B030-8BD3AA519F43Q36467574-7E67C5B9-4931-418A-8870-0CD05D6CD91CQ36711209-9B6D3BCF-69CF-4F0D-BAEA-74CB163DA5D0Q37079999-3B71095B-086C-48DE-BB76-289104BDD3BCQ38636775-8DCF57F3-A765-4B50-BE7F-F84134011641Q38893573-7271DB1C-7A8F-4A12-8B56-BCCD7E95CE56Q38914707-70BD713B-DCB9-44DD-8B09-3E9854A92BEDQ41691841-34C405E7-2034-4C9E-AF9E-2B8A0324CEFEQ41993145-DB2C6DB0-2BF1-49E9-A7AB-A16B1C9D4F0DQ49996939-64ED8F0E-0BCA-461B-B869-F30A5395E9BBQ50555961-0168DF69-6A82-4043-A8D0-7D045BD3FE7F
P2860
Assessing treatment-selection markers using a potential outcomes framework.
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
2012年论文
@zh
2012年论文
@zh-cn
name
Assessing treatment-selection markers using a potential outcomes framework.
@ast
Assessing treatment-selection markers using a potential outcomes framework.
@en
type
label
Assessing treatment-selection markers using a potential outcomes framework.
@ast
Assessing treatment-selection markers using a potential outcomes framework.
@en
prefLabel
Assessing treatment-selection markers using a potential outcomes framework.
@ast
Assessing treatment-selection markers using a potential outcomes framework.
@en
P2860
P1433
P1476
Assessing treatment-selection markers using a potential outcomes framework.
@en
P2093
Peter B Gilbert
Ying Huang
P2860
P304
P356
10.1111/J.1541-0420.2011.01722.X
P407
P50
P577
2012-02-02T00:00:00Z