History-adjusted marginal structural models for estimating time-varying effect modification.
about
Observational data for comparative effectiveness research: an emulation of randomised trials of statins and primary prevention of coronary heart disease.Structural nested mean models for assessing time-varying effect moderationTime-varying effect moderation using the structural nested mean model: estimation using inverse-weighted regression with residuals.Matching methods for obtaining survival functions to estimate the effect of a time-dependent treatment.Retention in care among HIV-infected patients in resource-limited settings: emerging insights and new directions.Targeted Learning of the Mean Outcome under an Optimal Dynamic Treatment Rule.Using Big Data to Emulate a Target Trial When a Randomized Trial Is Not Available.Estimating the effects of multiple time-varying exposures using joint marginal structural models: alcohol consumption, injection drug use, and HIV acquisition.Individualized treatment rules: generating candidate clinical trials.Erythropoietin Dose and Mortality in Hemodialysis Patients: Marginal Structural Model to Examine Causality.Dynamic models for estimating the effect of HAART on CD4 in observational studies: Application to the Aquitaine Cohort and the Swiss HIV Cohort Study.The effect of salvage therapy on survival in a longitudinal study with treatment by indication.Petersen et al. Respond to "Effect Modification by Time-varying Covariates"Comparison of methods for estimating the effect of salvage therapy in prostate cancer when treatment is given by indication.On computing standard errors for marginal structural Cox models.Analysis of longitudinal studies with repeated outcome measures: adjusting for time-dependent confounding using conventional methods.Regret-regression for optimal dynamic treatment regimes.Targeted maximum likelihood estimation of the parameter of a marginal structural model.Statistical learning of origin-specific statically optimal individualized treatment rules.Estimating long-term treatment effects in observational data: A comparison of the performance of different methods under real-world uncertainty.
P2860
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P2860
History-adjusted marginal structural models for estimating time-varying effect modification.
description
2007 nî lūn-bûn
@nan
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
2007年论文
@zh
2007年论文
@zh-cn
name
History-adjusted marginal stru ...... e-varying effect modification.
@en
type
label
History-adjusted marginal stru ...... e-varying effect modification.
@en
prefLabel
History-adjusted marginal stru ...... e-varying effect modification.
@en
P2093
P2860
P356
P1476
History-adjusted marginal stru ...... e-varying effect modification.
@en
P2093
Jeffrey N Martin
Mark J van der Laan
Maya L Petersen
P2860
P304
P356
10.1093/AJE/KWM232
P407
P577
2007-09-17T00:00:00Z