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We use modern statistical methods such as Bayesian multilevel modeling to conduct comparative phylogenetic analyses and meta-analyses on a variety of topics. Specific studies have meta-analyzed food sharing, male status, life-history priming, or maternal effects on the HPA-axis. Recent phylogenetic analyses focus on the global ethnographic record using new supertrees of human populations, and topics such as marriage, food sharing, or allomaternal care. We have also developed new methods for phylogenetic comparative analyses, for modeling phenotypic integration, and for evolutionary quantitative genetics