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SaveUsing machine learning to understand age and gender classification based on infant temperament (vol 17, e0266026, 2022)
Gartstein, Maria A.; Seamon, D. Erich; Mattera, Jennifer A.; Enlow, Michelle Bosquet; Wright, Rosalind J.; Perez-Edgar, Koraly; Buss, Kristin A.; Lobue, Vanessa; Bell, Martha Ann; Goodman, Sherryl H.; Spieker, Susan; Bridgett, David J.; Salisbury, Amy L.; Gunnar, Megan R.; Mliner, Shanna B.; Muzik, Maria; Stifter, Cynthia A.; Planalp, Elizabeth M.; Mehr, Samuel A.; Spelke, Elizabeth S.; Lukowski, Angela F.; Groh, Ashley M.; Lickenbrock, Diane M.; Santelli, Rebecca; Schudlich, Tina Du Rocher; Anzman-Frasca, Stephanie; Thrasher, Catherine; Diaz, Anjolii; Dayton, Carolyn; Moding, Kameron J.; Jordan, Evan M.
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SaveLinking specific biological signatures to different childhood adversities: findings from the HERO project
de Mendonca Filho, Euclides Jose; Pokhvisneva, Irina; Maalouf, Christina Maria; Parent, Carine; Mliner, Shanna B.; Slopen, Natalie; Williams, David R.; Bush, Nicole R.; Boyce, William Thomas; Levitt, Pat; Nelson, Charles A.; Gunnar, Megan R.; Meaney, Michael J.; Shonkoff, Jack P.; Silveira, Patricia Pelufo
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SaveHousehold Income, Cortisol, and Obesity During Early Childhood A Prospective Longitudinal Study
Kunin-Batson, Alicia S.; Crain, A. Lauren; Gunnar, Megan R.; Kelly, Aaron S.; Kharbanda, Elyse O.; Haapala, Jacob; Seburg, Elisabeth M.; Sherwood, Nancy E.; French, Simone A.
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