From 91774ee7bd7899e2bab4730b51dc2a52aa4424b1 Mon Sep 17 00:00:00 2001 From: Silvia Montagna Date: Tue, 9 Jul 2024 18:04:08 +0200 Subject: [PATCH] Update index.md --- content/publication/StatScience/index.md | 10 ++-------- 1 file changed, 2 insertions(+), 8 deletions(-) diff --git a/content/publication/StatScience/index.md b/content/publication/StatScience/index.md index 9091d34..8539391 100644 --- a/content/publication/StatScience/index.md +++ b/content/publication/StatScience/index.md @@ -10,7 +10,7 @@ date: "2017-11-01T00:00:00Z" doi: "10.1214/17-STS624" # Schedule page publish date (NOT publication's date). -publishDate: "2017-11-01T00:00:00Z" +# publishDate: "2017-11-01T00:00:00Z" # Publication type. # Legend: 0 = Uncategorized; 1 = Conference paper; 2 = Journal article; @@ -22,13 +22,7 @@ publication_types: ["2"] publication: "In *Statistical Science*" publication_short: "" -abstract: Neuroimaging meta-analysis is an area of growing interest in -statistics. The special characteristics of neuroimaging data render classical -meta-analysis methods inapplicable and therefore new methods have been -developed. We review existing methodologies, explaining the benefits and -drawbacks of each. A demonstration on a real dataset of emotion studies is -included. We discuss some still-open problems in the field to highlight the -need for future research. +abstract: Neuroimaging meta-analysis is an area of growing interest in statistics. The special characteristics of neuroimaging data render classical meta-analysis methods inapplicable and therefore new methods have been developed. We review existing methodologies, explaining the benefits and drawbacks of each. A demonstration on a real dataset of emotion studies is included. We discuss some still-open problems in the field to highlight the need for future research. # Summary. An optional shortened abstract. # summary: