Background: In observational studies of time-varying exposure and confounders, the use of propensity score (PS) is limited to assigning weights as in marginal structural models (MSMs). Stratification and conditioning on time-varying cofounders which are also intermediates can induce collider-stratification bias and adjust-away the (indirect) effect of exposure. Similar bias could be expected when one conditions on time-dependent PS. Objectives: We explored collider-stratification and confounding bias due to conditioning or stratifying on timedependent PS in a clinical example on the effect of inhaled short and long-acting beta2-agonist use (SABA and LABA, respectively) on coronary heart disease (CHD). Methods: A cohort of patients with an i...
Purpose: Instrumental variable (IV) analysis with physician's prescribing preference (PPP) as IV is ...
Background: Results from multiple observational studies on inhaled long-acting beta-2-agonists (LABA...
Propensity scores (PS) are an increasingly popular method to adjust for confounding in observational...
Background: In observational studies of time-varying exposure and confounders, the use of propensity...
PURPOSE: Propensity score (PS) methods aim to control for confounding by balancing confounders betwe...
Purpose Propensity score (PS) methods aim to control for confounding by balancing confounders betwee...
Background: Instrumental variable (IV) analysis with physician's prescribing preference (PPP) as an ...
Background: Unobserved confounding may impair the validity of observational research. Instrumental v...
Although randomization provides a gold-standard method of assessing causal relationships, it is not ...
Purpose: Results from observational studies on inhaled long-acting beta-2-agonists (LABA) and acute ...
Purpose: Results from observational studies on inhaled long-acting beta-2-agonists (LABA) and acute ...
BACKGROUND: The Risk of Bias (RoB) tool is used to assess internal validity of randomized controlled...
When studying the causal effect of drug use in observational data, marginal structural modeling (MSM...
Background/Aims: Treatment effects from observational studies may be biased since the patients were ...
Inferences about intended effects of treatments are ideally investigated using randomized control tr...
Purpose: Instrumental variable (IV) analysis with physician's prescribing preference (PPP) as IV is ...
Background: Results from multiple observational studies on inhaled long-acting beta-2-agonists (LABA...
Propensity scores (PS) are an increasingly popular method to adjust for confounding in observational...
Background: In observational studies of time-varying exposure and confounders, the use of propensity...
PURPOSE: Propensity score (PS) methods aim to control for confounding by balancing confounders betwe...
Purpose Propensity score (PS) methods aim to control for confounding by balancing confounders betwee...
Background: Instrumental variable (IV) analysis with physician's prescribing preference (PPP) as an ...
Background: Unobserved confounding may impair the validity of observational research. Instrumental v...
Although randomization provides a gold-standard method of assessing causal relationships, it is not ...
Purpose: Results from observational studies on inhaled long-acting beta-2-agonists (LABA) and acute ...
Purpose: Results from observational studies on inhaled long-acting beta-2-agonists (LABA) and acute ...
BACKGROUND: The Risk of Bias (RoB) tool is used to assess internal validity of randomized controlled...
When studying the causal effect of drug use in observational data, marginal structural modeling (MSM...
Background/Aims: Treatment effects from observational studies may be biased since the patients were ...
Inferences about intended effects of treatments are ideally investigated using randomized control tr...
Purpose: Instrumental variable (IV) analysis with physician's prescribing preference (PPP) as IV is ...
Background: Results from multiple observational studies on inhaled long-acting beta-2-agonists (LABA...
Propensity scores (PS) are an increasingly popular method to adjust for confounding in observational...