Choosing prediction over explanation in psychology: Lessons from machine learning
Psychology has historically been concerned, first and foremost, with explaining the causal
mechanisms that give rise to behavior. Randomized, tightly controlled experiments are …
mechanisms that give rise to behavior. Randomized, tightly controlled experiments are …
Anxiety and resilience in the face of natural disasters associated with climate change: A review and methodological critique
In the past two decades, climate change-related natural disasters, such as hurricanes,
floods, and droughts have become increasingly frequent and severe, impacting the …
floods, and droughts have become increasingly frequent and severe, impacting the …
Extending the minority stress model to understand mental health problems experienced by the autistic population
Research into autism and mental health has traditionally associated poor mental health and
autism as inevitably linked. Other possible explanations for mental health problems among …
autism as inevitably linked. Other possible explanations for mental health problems among …
Lung adenocarcinoma and lung squamous cell carcinoma cancer classification, biomarker identification, and gene expression analysis using overlap** feature …
JW Chen, J Dhahbi - Scientific reports, 2021 - nature.com
Lung cancer is one of the deadliest cancers in the world. Two of the most common subtypes,
lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC), have drastically …
lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC), have drastically …
The impact of social distancing during COVID-19: A conditional process model of negative emotions, alienation, affective disorders, and post-traumatic stress disorder
Y Zhu, L Zhang, X Zhou, C Li, D Yang - Journal of affective disorders, 2021 - Elsevier
Background The social distancing during COVID-19 is likely to cause a feeling of alienation,
which may pose a threat to the public's mental health. Our research aims to examine the …
which may pose a threat to the public's mental health. Our research aims to examine the …
[PDF][PDF] Risk prediction models for post‐operative mortality in patients with cirrhosis
Background and Aims Patients with cirrhosis are at increased risk of postoperative mortality.
Currently available tools to predict postoperative risk are suboptimally calibrated and do not …
Currently available tools to predict postoperative risk are suboptimally calibrated and do not …
Identifying predictors of university students' wellbeing during the COVID-19 pandemic—a data-driven approach
Background: The COVID-19 pandemic has posed risks to public mental health worldwide.
University students, who are already recognised as a vulnerable population, are at elevated …
University students, who are already recognised as a vulnerable population, are at elevated …
Social and moral psychology of COVID-19 across 69 countries
The COVID-19 pandemic has affected all domains of human life, including the economic
and social fabric of societies. One of the central strategies for managing public health …
and social fabric of societies. One of the central strategies for managing public health …
Back to the basics: Rethinking partial correlation network methodology
The Gaussian graphical model (GGM) is an increasingly popular technique used in
psychology to characterize relationships among observed variables. These relationships are …
psychology to characterize relationships among observed variables. These relationships are …
Cross-validation: A method every psychologist should know
Cross-validation is a statistical procedure that every psychologist should know. Most are
possibly familiar with the procedure in a global way but have not used it for the analysis of …
possibly familiar with the procedure in a global way but have not used it for the analysis of …