Loretta Gasparini
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Quantifying the role of rhythm in infants' language discrimination abilities: A meta-analysis
L Gasparini, A Langus, S Tsuji, N Boll-Avetisyan
Cognition 213, 104757, 2021
Using machine‐learning methods to identify early‐life predictors of 11‐year language outcome
L Gasparini, DA Shepherd, EL Bavin, P Eadie, S Reilly, AT Morgan, ...
Journal of Child Psychology and Psychiatry 64 (8), 1242-1252, 2023
Ten easy steps to conducting transparent, reproducible meta‐analyses for infant researchers
L Gasparini, S Tsuji, C Bergmann
Infancy 27 (4), 736-764, 2022
Synthesizing Core Outcome Sets for outcomes research in cohort studies: a systematic review
E Musgrove, L Gasparini, K McBain, SA Clifford, SA Carter, H Teede, ...
Pediatric Research 92 (4), 936-945, 2022
How to create accessible research summaries for the Developmental Language Disorder community
L Gasparini, S Ziegenfusz, N Turner, S Leitão, MC St, EJ Clair
OSF, 2024
Estimating the accuracy of early life predictors of 11-year language outcome: A replication study
L Gasparini, DA Shepherd, J Wang, M Wake, AT Morgan
Society for Research in Child Development (SRCD) Biennial Meeting, Salt Lake …, 2023
Identifying early language predictors: A replication study confirming applicability in a general population cohort
L Gasparini, D Shepherd, J Wang, M Wake, AT Morgan
PsyArXiv, 2023
MetaLab and metalabR: Facilitating dynamic meta-analyses in developmental psychology
L Gasparini, E Iverson, S El-Shawa, S Tsuji, MC Frank, C Bergmann
Research Synthesis & Big Data, 2021, online, 2021
Introducing metalabR: A package to facilitate living meta-analyses and dynamic meta-analytic visualizations
L Gasparini, E Iverson, S El-Shawa, S Tsuji, MC Frank, C Bergmann
Evidence Synthesis & Meta-Analysis in R Conference, 2021
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