MAJOR-SMITH Daniel's profile
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MAJOR-SMITH DanielORCID_LOGO

  • Population Health Sciences; Bristol Medical School, University of Bristol, Bristol, United Kingdom
  • Life Sciences, Medical Sciences, Social sciences
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Areas of expertise
I originally trained as an Evolutionary Anthropologist where I conducted fieldwork among the Agta, a population of Filipino hunter-gatherers, using experimental games to explore evolutionary theories of cooperation. With my evolutionary hat on, I am also interested in wider Human Behavioural Ecology approaches, life history theory and cultural evolution. While still interested in evolutionary topics, more recently I have also worked as an Epidemiologist researching a range of topics, including: causal inference, selection bias (e.g., multiple imputation methods), life course epidemiology, mental health, religion and climate change. This work primarily uses secondary data from longitudinal population-based studies, particularly the Avon Longitudinal Study of Parents and Children (ALSPAC). Spanning these research areas, I also have an interest in meta-science issues, such as Open Science practices, preregistration/Registered Reports, ethical publishing, and the importance of sharing data and analysis code (including synthetic datasets, when raw data cannot be shared).
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MAJOR-SMITH DanielORCID_LOGO

  • Population Health Sciences; Bristol Medical School, University of Bristol, Bristol, United Kingdom
  • Life Sciences, Medical Sciences, Social sciences
  • recommender

Recommendations:  0

Reviews:  0

Areas of expertise
I originally trained as an Evolutionary Anthropologist where I conducted fieldwork among the Agta, a population of Filipino hunter-gatherers, using experimental games to explore evolutionary theories of cooperation. With my evolutionary hat on, I am also interested in wider Human Behavioural Ecology approaches, life history theory and cultural evolution. While still interested in evolutionary topics, more recently I have also worked as an Epidemiologist researching a range of topics, including: causal inference, selection bias (e.g., multiple imputation methods), life course epidemiology, mental health, religion and climate change. This work primarily uses secondary data from longitudinal population-based studies, particularly the Avon Longitudinal Study of Parents and Children (ALSPAC). Spanning these research areas, I also have an interest in meta-science issues, such as Open Science practices, preregistration/Registered Reports, ethical publishing, and the importance of sharing data and analysis code (including synthetic datasets, when raw data cannot be shared).