Principal stratification designs to estimate input data missing due to death.
about
Are all biases missing data problems?Sensitivity analyses comparing time-to-event outcomes only existing in a subset selected postrandomization and relaxing monotonicityLongitudinal Data with Follow-up Truncated by Death: Match the Analysis Method to Research AimsRacial differences on association of depressive symptoms with combined basic and instrumental activities of daily living.Identifiability of causal effects for binary variables with baseline data missing due to death.A simple method for principal strata effects when the outcome has been truncated due to death.Inference for mutually exclusive competing events through a mixture of generalized gamma distributions.Semicompeting risks in aging research: methods, issues and needs.A proof of Bell's inequality in quantum mechanics using causal interactions.Causal inference with longitudinal outcomes and non-ignorable drop-out: Estimating the effect of living alone on cognitive decline.Observational studies analyzed like randomized experiments: an application to postmenopausal hormone therapy and coronary heart disease.On estimation of the survivor average causal effect in observational studies when important confounders are missing due to death.Effect of Demographic Risk Factors on the Change in Cognitive Function in the Presence of Non-Participation and Truncation due to Death.Estimating the efficacy of an interstitial cystitis/painful bladder syndrome medication in a randomized trial with both non-adherence and loss to follow-upRank-based principal stratum sensitivity analyses.Identification of causal effects in the presence of nonignorable missing outcome values.Causal analysis of ordinal treatments and binary outcomes under truncation by death.Identifiability of subgroup causal effects in randomized experiments with nonignorable missing covariates.Principal stratification--uses and limitations.
P2860
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P2860
Principal stratification designs to estimate input data missing due to death.
description
2007 nî lūn-bûn
@nan
2007 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2007 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
name
Principal stratification designs to estimate input data missing due to death.
@ast
Principal stratification designs to estimate input data missing due to death.
@en
type
label
Principal stratification designs to estimate input data missing due to death.
@ast
Principal stratification designs to estimate input data missing due to death.
@en
prefLabel
Principal stratification designs to estimate input data missing due to death.
@ast
Principal stratification designs to estimate input data missing due to death.
@en
P2093
P2860
P1433
P1476
Principal stratification designs to estimate input data missing due to death.
@en
P2093
Constantine E Frangakis
Donald B Rubin
Ellen MacKenzie
Ming-Wen An
P2860
P304
641-9; discussion 650-62
P356
10.1111/J.1541-0420.2007.00847_1.X
P407
P577
2007-09-01T00:00:00Z