Pages that link to "Item:Q849902"
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The following pages link to Dynamic path analysis -- a new approach to analyzing time-dependent covariates (Q849902):
Displaying 19 items.
- A general definition of influence between stochastic processes (Q746002) (← links)
- Dynamic path analysis for event time data: large sample properties and inference (Q746009) (← links)
- Longitudinal perspectives on event history analysis (Q746011) (← links)
- Evidence synthesis through a degradation model applied to myocardial infarction (Q746402) (← links)
- Interview with Anja Sattelmacher: between viewing and touching -- models and their materiality (Q2101901) (← links)
- Integrative genomics with mediation analysis in a survival context (Q2262177) (← links)
- Dealing with death when studying disease or physiological marker: the stochastic system approach to causality (Q2274687) (← links)
- Special issue dedicated to Odd O. Aalen (Q2305778) (← links)
- Defining causal mediation with a longitudinal mediator and a survival outcome (Q2305779) (← links)
- Estimation of Direct Effects for Survival Data by using the Aalen Additive Hazards Model (Q3107203) (← links)
- A dynamic approach for reconstructing missing longitudinal data using the linear increments model (Q3303558) (← links)
- (Q3397659) (← links)
- Dynamic Analysis of Multivariate Failure Time Data (Q3445304) (← links)
- Feedback and Mediation in Causal Inference Illustrated by Stochastic Process Models (Q4637091) (← links)
- What can Statistics Contribute to a Causal Understanding? (Q5430605) (← links)
- (sfi)\(^2\) statistics for innovation -- the experience of the Oslo centre in industrial statistics (Q6574691) (← links)
- Explained variation under the additive hazards model (Q6627868) (← links)
- Mediation analysis of time-to-event endpoints accounting for repeatedly measured mediators subject to time-varying confounding (Q6628743) (← links)
- Dynamic path analysis for exploring treatment effect mediation processes in clinical trials with time-to-event endpoints (Q6652628) (← links)