Model-informed approach to estimate treatment effect in placebo-controlled clinical trials using an artificial intelligence-based propensity weighting methodology to account for non-specific responses to treatment

Related articles

1. Does Socially Desirable Responding Change After an Intervention? Implications for Estimating Treatment Effects

   This article has 2 authors:

   1. Jim Soland
   2. Joshua Gilbert

2. Item-Level Heterogeneous Treatment Effects in Instrumental Variables Regression

   This article has 5 authors:

   1. Sanford R Student
   2. Joshua Gilbert
   3. Jesse Uzochukwu Eze
   4. William Young
   5. Benjamin Domingue

3. Heterogeneous Treatment Effect Estimation with Instrumental Variable Methods

   This article has 3 authors:

   1. Amir Aamodt Kazemi
   2. Joseph Sexton
   3. Inge Christoffer Olsen