Targeted maximum likelihood based estimation for longitudinal mediation analysis by Wang Zeyi, Laan Lars van der, Petersen Maya, Gerds Thomas, Kvist Kajsa, Laan Mark van der

“…To tackle causal and statistical challenges due to the complex longitudinal data structure with time-varying confounders, competing risks, and informative censoring, there exists a general desire to combine machine learning techniques and semiparametric theory. …”
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Plans, Progression and Post-Compulsory Education: Measuring the Success of a School–University Widening Participation Programme in Ireland by Eilís Ní Chorcora, Joanne Banks, Aibhín Bray

“…This paper investigates longitudinal data from 227 students in Dublin, Ireland, who were attending post-primary schools located in areas that have low progression to tertiary education. …”
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Psychiatric morbidity among women in Norwegian prisons, 2010–2019: a register-based study by Vegard G Svendsen, Marianne Riksheim Stavseth, Torbjørn Skardhamar, Anne Bukten

“…This study utilizes national registry data to describe demographic and psychiatric gender differences in Norwegian prisons, and to investigate comorbid psychiatric disorders and time trends in psychiatric morbidity among women. Methods Longitudinal data from the Norwegian Prison Release Study linked with the Norwegian Patient Registry and data from Statistics Norway provided information on health care utilization, socioeconomic status, and history of psychiatric disorders among all individuals (nwomen = 5,429; nmen = 45,432) who were incarcerated in a Norwegian prison between 2010 and 2019. …”
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Nonlinear mixed‐effects modeling as a method for causal inference to predict exposures under desired within‐subject dose titration schemes by Christian Bartels, Martina Scauda, Neva Coello, Thomas Dumortier, Björn Bornkamp, Giusi Moffa

“…Here, we evaluate nonlinear mixed‐effects modeling and simulation (NLME M&S) in the context of causal inference as a standardization method for longitudinal data in the presence of confounders. Standardization is a well‐known method in causal inference to correct for confounding by analyzing and combining results from subgroups of patients. …”
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Initial data analysis for longitudinal studies to build a solid foundation for reproducible analysis. by Lara Lusa, Cécile Proust-Lima, Carsten O Schmidt, Katherine J Lee, Saskia le Cessie, Mark Baillie, Frank Lawrence, Marianne Huebner, TG3 of the STRATOS Initiative

“…With our checklist and reproducible R code we provide data analysts a framework to work with longitudinal data in an informed way, enhancing the reproducibility and validity of their work.…”
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A regional program evaluation of the Stanford Chronic Pain Self-Management Program in Eastern Ontario, Canada by E. Hum, S. Karunananthan, A. Adil, I. Moroz, R. Davidson, C. Liddy

“…Among a sample of participants with available longitudinal data, the CPSMP demonstrated promising effectiveness at equipping participants with the knowledge, skills, and confidence to manage their pain. …”
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Comparing Project-Based Collaborative Networks for BIM Implementation in Public and Private Sectors: A Longitudinal Study in Hong Kong by Yixuan Tang, Guangbin Wang, Heng Li, Dongping Cao, Xiaoying Li

“…Using the social network perspective and a longitudinal data set on BIM-based construction projects in Hong Kong from 2002 to 2017, this study quantitatively characterizes how the structural characteristics of the project-based collaboration networks for BIM implementation in the public (PUCN) and private sectors (PRCN) evolve differently over time. …”
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Longitudinal Invariance Testing Of The Knee Injury Osteoarthritis Outcome Score For Joint Replacement Scale (KOOS-JR) by Alexandra Dluzniewski, Caleb Allred, Madeline P Casanova, Jonathan D Moore, Adam C Cady, Russell T Baker

“…. # Methods Longitudinal data extracted from the Surgical Outcome System (SOS) database of 13,470 knee pathology patients who completed the KOOS-JR at baseline, three-months, six- months, and one-year. …”
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Countries' progress towards Global Health Security (GHS) increased health systems resilience during the Coronavirus Disease-19 (COVID-19) pandemic: A difference-in-difference study... by Tyler Y Headley, Sooyoung Kim, Yesim Tozan

“…This study attempted to better characterize when and to what extent countries' progress towards Global Health Security (GHS) augments health systems resilience. We used longitudinal data from 191 countries and a difference-in-difference (DiD) causal inference strategy to quantify the effect of countries' GHS capacity as measured by the GHSI on their coverage rates for essential childhood immunizations, a previously established proxy for health systems resilience. …”
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Auditory steady state response can predict declining EF in healthy elderly individuals by Xiaopeng Mao, Xiaopeng Mao, Nelly Shenton, Sadasivan Puthusserypady, Martin Johannes Lauritzen, Krisztina Benedek

“…This study explores the association between gamma-band Auditory Steady-State Responses (ASSRs) and subclinical cognitive decline using longitudinal data from healthy volunteers in the Metropolit Birth Cohort (MBC).MethodsLongitudinal recordings of cognitive test results and ASSRs at 40 Hz stimulation were analyzed. …”
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Information quality and students’ academic performance: the mediating roles of perceived usefulness, entertainment and social media usage by Abdallah M. M. Badr, Badr Saleh Al-Abdi, Maged Rfeqallah, Rozilah Kasim, Faisal A. M. Ali

“…Therefore, the results of the investigation cannot be generalized as a whole, and cannot track respondents’ social media activity over time. Thus, longitudinal data may be used in future investigations. …”
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Interaction of Pubertal Development and Metabolic Control in Adolescents with Type 1 Diabetes Mellitus by M. Plamper, B. Gohlke, J. Woelfle, K. Konrad, T. Rohrer, S. Hofer, W. Bonfig, K. Fink, R. W. Holl

“…Using a large multicentre database, longitudinal data from 1294 patients were analysed. Inclusion criteria: complete records of height and HbA1c from the age of seven to 16 years. …”
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Modeling Dominant Height Growth in Planted Pinus pinea Stands in Northwest of Tunisia by Sghaier Tahar, Palahi Marc, Garchi Salah, Bonet José Antonio, Ammari Youssef, Pique Miriam

“…To take into account the inherent autocorrelation of the longitudinal data, a second-order continuous-time autoregressive error structure was used, which allows the models to be applied to irregularly spaced, unbalanced data. …”
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Association of Social Engagement with Brain Volumes Assessed by Structural MRI by Bryan D. James, Thomas A. Glass, Brian Caffo, Jennifer F. Bobb, Christos Davatzikos, David Yousem, Brian S. Schwartz

“…A voxel-wise analysis supported an association in temporal lobe GM. Using longitudinal data to discern temporal relations, change in ROI volumes over five years showed null associations with current social engagement. …”
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The Association Between the Onset and Ending of Volunteering on Loneliness and Perceived Social Isolation Among Older Adults: Longitudinal Evidence From the German Ageing Survey by Avery Richardson, Hans‐Helmut König, André Hajek

“…This study aims to assess whether engaging in volunteer work during retirement age is associated with changes in loneliness and social isolation. Methods Longitudinal data were obtained from Waves 5 (Year 2014) and 6 (Year 2017) of the German Ageing Survey, focusing on middle‐aged and older adults. …”
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Functional connectivity-based compensation in the brains of non-demented older adults and the influence of lifestyle: A longitudinal 7-year study by Pascal Frédéric Deschwanden, Isabel Hotz, Susan Mérillat, Lutz Jäncke

“…Can lifestyle predict the strength of this functional compensation? Methods: Using longitudinal data from 228 cognitively healthy older adults, we analyzed five measurement points over 7 years. …”
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Associations of physical activity and sedentary time with cognitive skills in preschoolers: a longitudinal study from preschool to first grade of school by Kirkke Reisberg, Eva-Maria Riso, Liina Animägi, Jaak Jürimäe

“…Abstract Backround Low physical activity and high sedentary behaviour is a concern already during preschool period with potential impacts on children’s future cognitive health in school. However, longitudinal data regarding the associations of physical activity, sedentary time and cognition at young age are limited, thus the aim of this study was to investigate whether objectively monitored moderate-to-vigorous physical activity (MVPA) and sedentary time at preschool age are related to cognitive skills in the first grade of school among boys and girls. …”
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Continuing exposure to disadvantageous material and perceived economic factors on self-rated health in different life stages: fixed effects analyses with data from the German Socio... by Tobias Rähse, Matthias Richter, Anja Knöchelmann

“…Methods All analyses are based on longitudinal data from the German Socio-Economic Panel (SOEP) from 1994 to 2017. …”
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Elevated Anthropometric and Metabolic Indicators among Young Adult Offspring of Mothers with Pregestational Diabetes: Early Results from the Transgenerational Effect on Adult Morbi... by Katherine Bowers, Shelley Ehrlich, Lawrence M. Dolan, Resmi Gupta, Mekibib Altaye, Nicholas J. Ollberding, Rhonda Szczesniak, Patrick Catalano, Emily Smith, Jane C. Khoury

“…Among a subset of TEAM participants, we compared the metabolic outcomes across maternal glucose profiles using a longitudinal data clustering technique that characterizes level and variability, in maternal glucose across pregnancy. …”
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Dynamics of perceived threat and media exposure during the COVID-19 pandemic by Talia Morstead, Nancy L. Sin, Anita DeLongis

“…In this study, we used longitudinal data from 3189 primarily North American participants, collected monthly from June 2020 through January 2021 to examine reciprocal associations among media exposure, COVID-19 thought frequency, and perceived threat of COVID-19 at the within-person level of analysis. …”
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