Pages that link to "Item:Q4960850"
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The following pages link to Estimating treatment effects in observational studies with both prevalent and incident cohorts (Q4960850):
Displaying 8 items.
- Estimation of the overall treatment effect in the presence of interference in cluster-randomized trials of infectious disease prevention (Q2001887) (← links)
- Identification and efficient estimation of the natural direct effect among the untreated (Q2846436) (← links)
- Measuring and Estimating Treatment Effect on Count Outcome in Randomized Trial and Observational Studies (Q5259114) (← links)
- A risk set adjustment for proportional hazards modeling of combined cohort data (Q5867705) (← links)
- Combining primary cohort data with external aggregate information without assuming comparability (Q6076514) (← links)
- Survival Modelling for Data From Combined Cohorts: Opening the Door to Meta Survival Analyses and Survival Analysis Using Electronic Health Records (Q6089879) (← links)
- A note on the partial likelihood estimator of the proportional hazards model for combined incident and prevalent cohort data (Q6159682) (← links)
- Determining sample sizes for combined incident and prevalent cohort studies with and without follow-up (Q6580636) (← links)