Causal inference on human behaviour

DH Bailey, AJ Jung, AM Beltz, MI Eronen… - Nature human …, 2024 - nature.com
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 …

[HTML][HTML] Modeling psychopathology: From data models to formal theories.

J Haslbeck, O Ryan, DJ Robinaugh… - Psychological …, 2022 - psycnet.apa.org
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 …

Comorbidity between depression and anxiety: assessing the role of bridge mental states in dynamic psychological networks

RN Groen, O Ryan, JTW Wigman, H Riese… - BMC medicine, 2020 - Springer
Background Comorbidity between depressive and anxiety disorders is common. A
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 …

Map** the timescale of suicidal thinking

DDL Coppersmith, O Ryan… - Proceedings of the …, 2023 - National Acad Sciences
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 …

These are not the effects you are looking for: causality and the within-/between-persons distinction in longitudinal data analysis

JM Rohrer, K Murayama - Advances in methods and …, 2023 - journals.sagepub.com
In psychological science, researchers often pay particular attention to the distinction
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?

DG Jordan, ES Winer, T Salem - Journal of clinical psychology, 2020 - Wiley Online Library
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 …

So you want to do ESM? 10 essential topics for implementing the experience-sampling method

J Fritz, ML Piccirillo, ZD Cohen… - … in Methods and …, 2024 - journals.sagepub.com
The experience-sampling method (ESM) captures psychological experiences over time and
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

J Burger, DC van der Veen, DJ Robinaugh, R Quax… - BMC medicine, 2020 - Springer
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 …

The future is dynamic: A call for intensive longitudinal data in immunopsychiatry

DP Moriarity, GM Slavich - Brain, behavior, and immunity, 2023 - Elsevier
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 …