The contribution of depressive 'disorder characteristics' to determinations of prognosis for adults with depression: an individual patient data meta-analysis
BackgroundThis study aimed to investigate general factors associated with prognosis
regardless of the type of treatment received, for adults with depression in primary care …
regardless of the type of treatment received, for adults with depression in primary care …
[HTML][HTML] Better together: advancing life course research through multi-cohort analytic approaches
Longitudinal cohorts can provide timely and cost-efficient evidence about the best points of
health service and preventive interventions over the life course. Working systematically …
health service and preventive interventions over the life course. Working systematically …
Using imputation to provide harmonized longitudinal measures of cognition across AIBL and ADNI
To improve understanding of Alzheimer's disease, large observational studies are needed to
increase power for more nuanced analyses. Combining data across existing observational …
increase power for more nuanced analyses. Combining data across existing observational …
A comparison of one‐stage vs two‐stage individual patient data meta‐analysis methods: A simulation study
E Kontopantelis - Research synthesis methods, 2018 - Wiley Online Library
Background Individual patient data (IPD) meta‐analysis allows for the exploration of
heterogeneity and can identify subgroups that most benefit from an intervention (or …
heterogeneity and can identify subgroups that most benefit from an intervention (or …
Psychosis symptom trajectories across childhood and adolescence in three longitudinal studies: An integrative data analysis with mixture modeling
Psychotic-like experiences (PLEs) are common throughout childhood, and the presence of
these experiences is a significant risk factor for poor mental health later in development …
these experiences is a significant risk factor for poor mental health later in development …
Translating RDoC to real-world impact in developmental psychopathology: A neurodevelopmental framework for application of mental health risk calculators
The National Institute of Mental Health's Research Domain Criteria (RDoC) framework has
prompted a paradigm shift from categorical psychiatric disorders to considering multiple …
prompted a paradigm shift from categorical psychiatric disorders to considering multiple …
Expanding the role of justice in secondary research using digital psychological data.
J Herington, K Li, AR Pisani - American Psychologist, 2024 - psycnet.apa.org
Secondary analysis of digital psychological data (DPD) is an increasingly popular method
for behavioral health research. Under current practices, secondary research does not …
for behavioral health research. Under current practices, secondary research does not …
[HTML][HTML] EEG/ERP as a pragmatic method to expand the reach of infant-toddler neuroimaging in HBCD: Promises and challenges
Though electrophysiological measures (EEG and ERP) offer complementary information to
MRI and a variety of advantages for studying infants and young children, these measures …
MRI and a variety of advantages for studying infants and young children, these measures …
Investigating the stratified efficacy and safety of pharmacological blood pressure-lowering: an overall protocol for individual patient-level data meta-analyses of over …
K Rahimi, D Canoy, M Nazarzadeh… - BMJ open, 2019 - bmjopen.bmj.com
Introduction Previous research from the Blood Pressure Lowering Treatment Trialists'
Collaboration (BPLTTC) and others has shown that pharmacological blood pressure (BP) …
Collaboration (BPLTTC) and others has shown that pharmacological blood pressure (BP) …
Addressing methodologic challenges and minimizing threats to validity in synthesizing findings from individual-level data across longitudinal randomized trials
Abstract Integrative Data Analysis (IDA) encompasses a collection of methods for data
synthesis that pools participant-level data across multiple studies. Compared with single …
synthesis that pools participant-level data across multiple studies. Compared with single …