In this podcast Dr Gareth Owen gives an overview of phenomenology in psychiatry, discussing some of the historical background to the development of the discipline, some of the problems and how it relates in comparison with other disciplines such as a biological or psychological approach to a psychiatric disorder. He also touches on how we can bring a phenomenological understanding into our daily practice.
"Are you finally ready to listen to me now? If so, here are my 10 timeless truths."
If you can't fix it, you don't own it.
Program that uses email to send encrypted chat messages.
Gardening tools and supplies.
Reducing hours without reducing pay would reignite an essential but long-forgotten moral project: making American life less about work.
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Visualise matrix multiplication
The awful white fluffy blight that destroys plants.
What happens in our brain when we make a decision? What triggers a neuron to send out a signal? What is the neural code? This textbook for advanced undergraduate and beginning graduate students provides a thorough and up-to-date introduction to the fields of computational and theoretical neuroscience.
Take me to a useless website please.
Among individuals hospitalised with depression, we found no evidence for a clinically significant increased risk for serious medical events with exposure to electroconvulsive therapy, and the risk of suicide was found to be significantly reduced, suggesting the benefits of electroconvulsive therapy for depression outcomes might outweigh its risks in this population.
"the car was not an object of emancipation but of servitude. I could do nothing without my car"
We discuss ten errors in randomized experiments from real-world examples from the literature and outline best practices for their avoidance. These ten errors include: representing nonrandom allocation as random, failing to adequately conceal allocation, not accounting for changing allocation ratios, replacing subjects in nonrandom ways, failing to account for non-independence, drawing inferences by comparing statistical significance from within-group comparisons instead of between-groups, pooling data and breaking the randomized design, failing to account for missing data, failing to report sufficient information to understand study methods, and failing to frame the causal question as testing the randomized assignment per se.