Pages that link to "Item:Q6617441"
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The following pages link to Formulating causal questions and principled statistical answers (Q6617441):
Displaying 10 items.
- Differentially private outcome-weighted learning for optimal dynamic treatment regime estimation (Q6548911) (← links)
- Evaluating cancer screening programs using survival analysis (Q6572294) (← links)
- On ``Reflections on the concept of optimality of single decision point treatment regimes'' (Q6595111) (← links)
- Do machine learning methods lead to similar individualized treatment rules? A comparison study on real data (Q6618495) (← links)
- Introduction to computational causal inference using reproducible Stata, R, and Python code: a tutorial (Q6622245) (← links)
- A comparison of full model specification and backward elimination of potential confounders when estimating marginal and conditional causal effects on binary outcomes from observational data (Q6625330) (← links)
- Causal inference in the absence of positivity: the role of overlap weights (Q6625475) (← links)
- Analysis of time-to-event for observational studies: guidance to the use of intensity models (Q6627876) (← links)
- A tutorial on individualized treatment effect prediction from randomized trials with a binary endpoint (Q6628296) (← links)
- Causal inference for oncology: past developments and current challenges (Q6636227) (← links)
