Pages that link to "Item:Q5128776"
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The following pages link to A Bayesian approach to joint modeling of matrix‐valued imaging data and treatment outcome with applications to depression studies (Q5128776):
Displaying 6 items.
- Latent class modeling using matrix covariates with application to identifying early placebo responders based on EEG signals (Q1684233) (← links)
- A Bayesian Method for Estimating the Accuracy of Recalled Depression (Q3435813) (← links)
- Balancing Inferential Integrity and Disclosure Risk Via Model Targeted Masking and Multiple Imputation (Q5881057) (← links)
- Discussion of “Statistical disease mapping for heterogeneous neuroimaging studies” (Q6059485) (← links)
- Statistical inference on the significance of rows and columns for matrix-valued data in an additive model (Q6064232) (← links)
- Low-rank latent matrix-factor prediction modeling for generalized high-dimensional matrix-variate regression (Q6626885) (← links)
