Update IJMPR reference (#1488)

Author: erikcs

README.md

@@ -162,8 +162,10 @@ Imke Mayer, Erik Sverdrup, Tobias Gauss, Jean-Denis Moyer, Stefan Wager and Juli
 <a href="https://arxiv.org/pdf/1910.10624.pdf">arxiv</a>]
 
 Erik Sverdrup, Maria Petukhova, and Stefan Wager.
-<b>Estimating Treatment Effect Heterogeneity in Psychiatry: A Review and Tutorial with Causal Forests.</b> 2024.
-[<a href="https://arxiv.org/abs/2409.01578">arxiv</a>]
+<b>Estimating Treatment Effect Heterogeneity in Psychiatry: A Review and Tutorial with Causal Forests.</b>
+<i>International Journal of Methods in Psychiatric Research</i>, 34(2), 2025.
+[<a href="https://doi.org/10.1002/mpr.70015">paper</a>,
+<a href="https://arxiv.org/abs/2409.01578">arxiv</a>]
 
 Stefan Wager.
 <b>Causal Inference: A Statistical Learning Approach.</b> 2024.

experiments/README.md

@@ -12,7 +12,7 @@ This directory contains replication code for
 
 * Mayer, Sverdrup, Gauss, Moyer, Wager, and Josse (2020): This is available at https://github.com/imkemayer/causal-inference-missing
 
-* Sverdrup, Petukhova, and Wager (2024): `ijmpr`
+* Sverdrup, Petukhova, and Wager (2025): `ijmpr`
 
 * Wager and Athey (2018): This paper is not based on GRF, but on the deprecated `causalForest`. For replication code see https://github.com/swager/causalForest
 
@@ -49,8 +49,10 @@ Imke Mayer, Erik Sverdrup, Tobias Gauss, Jean-Denis Moyer, Stefan Wager and Juli
 <a href="https://arxiv.org/pdf/1910.10624.pdf">arxiv</a>]
 
 Erik Sverdrup, Maria Petukhova, and Stefan Wager.
-<b>Estimating Treatment Effect Heterogeneity in Psychiatry: A Review and Tutorial with Causal Forests.</b> 2024.
-[<a href="https://arxiv.org/abs/2409.01578">arxiv</a>]
+<b>Estimating Treatment Effect Heterogeneity in Psychiatry: A Review and Tutorial with Causal Forests.</b>
+<i>International Journal of Methods in Psychiatric Research</i>, 34(2), 2025.
+[<a href="https://doi.org/10.1002/mpr.70015">paper</a>,
+<a href="https://arxiv.org/abs/2409.01578">arxiv</a>]
 
 Stefan Wager and Susan Athey.
 <b>Estimation and Inference of Heterogeneous Treatment Effects using Random Forests.</b>

r-package/grf/vignettes/grf_guide.Rmd

@@ -409,6 +409,10 @@ qini.age
 
 * [Causal Inference: A Statistical Learning Approach](https://web.stanford.edu/~swager/causal_inf_book.pdf) (textbook)
 
+* [Estimating Treatment Effects with Causal Forests: An Application](https://arxiv.org/abs/1902.07409) (tutorial paper)
+
+* [Estimating Treatment Effect Heterogeneity in Psychiatry: A Review and Tutorial with Causal Forests](https://doi.org/10.1002/mpr.70015) (tutorial paper)
+
 <center><img src="https://raw.githubusercontent.com/grf-labs/grf/master/images/logo/grf_leaf_green.png" height="64"></center>
 
 ## References