Causal inference on human behaviour
Making causal inferences regarding human behaviour is difficult given the complex interplay
between countless contributors to behaviour, including factors in the external world and our …
between countless contributors to behaviour, including factors in the external world and our …
[HTML][HTML] Modeling psychopathology: From data models to formal theories.
Over the past decade, there has been a surge of empirical research investigating mental
disorders as complex systems. In this article, we investigate how to best make use of this …
disorders as complex systems. In this article, we investigate how to best make use of this …
Comorbidity between depression and anxiety: assessing the role of bridge mental states in dynamic psychological networks
Background Comorbidity between depressive and anxiety disorders is common. A
hypothesis of the network perspective on psychopathology is that comorbidity arises due to …
hypothesis of the network perspective on psychopathology is that comorbidity arises due to …
[HTML][HTML] Person-specific networks in psychopathology: Past, present, and future
LF Bringmann - Current opinion in psychology, 2021 - Elsevier
In the psychological network approach, mental disorders such as major depressive disorder
are conceptualized as networks. The network approach focuses on the symptom structure or …
are conceptualized as networks. The network approach focuses on the symptom structure or …
Map** the timescale of suicidal thinking
This study aims to identify the timescale of suicidal thinking, leveraging real-time monitoring
data and a number of different analytic approaches. Participants were 105 adults with past …
data and a number of different analytic approaches. Participants were 105 adults with past …
These are not the effects you are looking for: causality and the within-/between-persons distinction in longitudinal data analysis
In psychological science, researchers often pay particular attention to the distinction
between within-and between-persons relationships in longitudinal data analysis. Here, we …
between within-and between-persons relationships in longitudinal data analysis. Here, we …
The current status of temporal network analysis for clinical science: Considerations as the paradigm shifts?
Objective Network analysis in psychology has ushered in a potentially revolutionary way of
analyzing clinical data. One novel methodology is in the construction of temporal networks …
analyzing clinical data. One novel methodology is in the construction of temporal networks …
So you want to do ESM? 10 essential topics for implementing the experience-sampling method
The experience-sampling method (ESM) captures psychological experiences over time and
in everyday contexts, thereby offering exciting potential for collecting more temporally fine …
in everyday contexts, thereby offering exciting potential for collecting more temporally fine …
Bridging the gap between complexity science and clinical practice by formalizing idiographic theories: a computational model of functional analysis
Background The past decades of research have seen an increase in statistical tools to
explore the complex dynamics of mental health from patient data, yet the application of these …
explore the complex dynamics of mental health from patient data, yet the application of these …
The future is dynamic: A call for intensive longitudinal data in immunopsychiatry
The long-term value of immunopsychiatry will be based on its ability to translate basic
science into effective clinical interventions. In this article, we discuss a key obstacle to …
science into effective clinical interventions. In this article, we discuss a key obstacle to …