Pages that link to "Q36924003"

The following pages link to History-adjusted marginal structural models for estimating time-varying effect modification (Q36924003):

Displaying 24 items.

• Observational data for comparative effectiveness research: an emulation of randomised trials of statins and primary prevention of coronary heart disease (Q30538243) (← links)
• Structural nested mean models for assessing time-varying effect moderation (Q33435580) (← links)
• Time-varying effect moderation using the structural nested mean model: estimation using inverse-weighted regression with residuals (Q33561112) (← links)
• Matching methods for obtaining survival functions to estimate the effect of a time-dependent treatment (Q34300972) (← links)
• Retention in care among HIV-infected patients in resource-limited settings: emerging insights and new directions (Q34495138) (← links)
• Targeted Learning of the Mean Outcome under an Optimal Dynamic Treatment Rule (Q35896316) (← links)
• Using Big Data to Emulate a Target Trial When a Randomized Trial Is Not Available (Q35963563) (← links)
• Estimating the effects of multiple time-varying exposures using joint marginal structural models: alcohol consumption, injection drug use, and HIV acquisition (Q36007753) (← links)
• Individualized treatment rules: generating candidate clinical trials (Q36740878) (← links)
• Erythropoietin Dose and Mortality in Hemodialysis Patients: Marginal Structural Model to Examine Causality (Q36958826) (← links)
• Dynamic models for estimating the effect of HAART on CD4 in observational studies: Application to the Aquitaine Cohort and the Swiss HIV Cohort Study (Q40598638) (← links)
• The effect of salvage therapy on survival in a longitudinal study with treatment by indication (Q41924380) (← links)
• Petersen et al. Respond to "Effect Modification by Time-varying Covariates" (Q42248262) (← links)
• Comparison of methods for estimating the effect of salvage therapy in prostate cancer when treatment is given by indication (Q42790749) (← links)
• On computing standard errors for marginal structural Cox models. (Q45901282) (← links)
• Analysis of longitudinal studies with repeated outcome measures: adjusting for time-dependent confounding using conventional methods (Q47654503) (← links)
• Regret-regression for optimal dynamic treatment regimes (Q48241212) (← links)
• Targeted maximum likelihood estimation of the parameter of a marginal structural model (Q51760256) (← links)
• Statistical learning of origin-specific statically optimal individualized treatment rules. (Q55111421) (← links)
• Estimating long-term treatment effects in observational data: A comparison of the performance of different methods under real-world uncertainty. (Q55220208) (← links)
• The impact of unmeasured baseline effect modification on estimates from an inverse probability of treatment weighted logistic model (Q57234440) (← links)
• Marginal Structural Models with Counterfactual Effect Modifiers (Q89042235) (← links)
• Super-Learning of an Optimal Dynamic Treatment Rule (Q89291972) (← links)
• Double robust estimation for multiple unordered treatments and clustered observations: Evaluating drug-eluting coronary artery stents (Q90029120) (← links)