22 papers · ranked by Valyu relevance
Daniel Grossoehme, Ellen Lipstein
Background Longitudinal qualitative research methods can add depth and understanding to health care research, especially on topics such as chronic conditions, adherence and changing health policies. In this manuscript we describe when and how to undertake two different applied approaches to analyzing longitudinal…
Samuel W. Hawes, Andrew K. Littlefield, Daniel A. Lopez, Kenneth J. Sher + 22 more
'Kenneth J. Sher' 'Erin L. Thompson' 'Raul Gonzalez' 'Laika Aguinaldo' 'Ashley R. Adams' 'Mohammadreza Bayat' 'Amy L. Byrd' 'Luis FS Castro-de-Araujo' 'Anthony Dick' 'Steven F. Heeringa' 'Christine M. Kaiver' 'Sarah M. Lehman' 'Lin Li' 'Janosch Linkersdörfer' 'Thomas J. Maullin-Sapey' 'Michael C. Neale' 'Thomas E.…
Gang Chen, Tiffany A. Nash, Katherine M. Reding, Philip D. Kohn + 6 more
The ubiquitous adoption of linearity for quantitative explanatory variables in statistical modeling is likely attributable to its advantages of straightforward interpretation and computational feasibility. The linearity assumption may be a reasonable approximation especially when the variable is confined within a…
Ariel I. Mundo, John R. Tipton, Timothy J. Muldoon
In biomedical research, the outcome of longitudinal studies has been traditionally analyzed using the repeated measures analysis of variance (rm-ANOVA) or more recently, linear mixed models (LMEMs). Although LMEMs are less restrictive than rm-ANOVA in terms of correlation and missing observations, both methodologies…
Davide Fucci, Simone Romano, María Teresa Baldassarre, Danilo Caivano + 3 more
'Danilo Caivano' 'Giuseppe Scanniello' 'Burak Thuran' 'Natália Juristo'] Results: The use of TDD has a statistically significant effect neither on the external quality of software products nor on the developers' productivity. However, we observed that participants using TDD produced significantly more tests than those…
Nazanin Zounemat-Kermani, Matthew Richardson, Alen Faiz, Siyao Wang + 12 more
Many longitudinal omics studies contain only a small number of repeated measurements collected before, during, or after an intervention. Existing approaches, including mixed-effects models and generalized additive models, estimate temporal effects but do not generally provide a discrete representation of trajectory…
Ethan M. McCormick
Longitudinal models have become increasingly popular in recent years because of their power to test theoretically derived hypotheses by modeling within-person processes with repeated measures. Growth models constitute a flexible framework for modeling a range of complex trajectories across time in outcomes of interest…
Martha Abshire, Victor D. Dinglas, Maan Isabella A. Cajita, Michelle N. Eakin + 2 more
'Michelle N. Eakin' 'Dale M. Needham' 'Cheryl Dennison Himmelfarb'] Background There is a need for improving cohort retention in longitudinal studies. Our objective was to identify cohort retention strategies and implementation approaches used in studies with high retention rates. Methods Longitudinal studies with ≥200…
Long, Tao, Wang, Sitong + 30 more
UIST researchers develop tools to address user challenges. However, user interactions with AI evolve over time through learning, adaptation, and repurposing—making one-time evaluations insufficient. Capturing these dynamics requires longer-term studies, but challenges in deployment, evaluation design, and data…
Vincent A. Viblanc, Elise Huchard, Gilles Pinay, Elena Ormeño + 14 more
Vincent A Viblanc 1 , Élise Huchard 2 , Gilles Pinay 1 , Elena Ormeno 3 , Céline Teplitsky 4 , François Criscuolo 1 , Dominique Joly 1 , David Renault 5 , Cécile Callou 1 , Françoise Gourmelon 1 , Sandrine Anquetin 6 , Bénédicte Augeard 7 , Fabienne Aujard 1 , Sophie Ayrault 6 , Philippe Grandcolas 1 , Agathe Euzen 1 …
Madan G. Kundu, Jaroslaw Harezlak
While studying response trajectory, often the population of interest may be diverse enough to exist distinct subgroups within it and the longitudinal change in response may not be uniform in these subgroups. That is, the timeslope and/or influence of covariates in longitudinal profile may vary among these different…
Jack Cuzick
As good health is a lifetime issue, long-term follow up is an important part of evaluating any medical condition or treatment. This is well appreciated in epidemiologic studies where exposure to a harmful substance is often long-term, and its impact on health can appear many years after first occurrence. Examples…
Mehmet Burcu, Cyntia B. Manzano-Salgado, Anne M. Butler, Jennifer B. Christian
Understanding the long-term benefits and risks of treatments, devices, and vaccines is critically important for individual- and population-level healthcare decision-making. Extension studies, or ‘roll-over studies,’ are studies that allow for patients participating in a parent clinical trial to ‘roll-over’ into a…
Paul A. Smith, Wesley Yung
Business surveys are not generally considered to be longitudinal by design. However, the largest businesses are almost always included in each wave of recurrent surveys because they are essential for producing good estimates; and short‐period business surveys frequently make use of rotating panel designs to improve the…
Alessandro Gasparini, Keith R. Abrams, Jessica Barrett, Rupert Major + 3 more
'Michael Sweeting' 'Nigel J. Brunskill' 'Michael J. Crowther'] Electronic health records are being increasingly used in medical research to answer more relevant and detailed clinical questions; however, they pose new and significant methodological challenges. For instance, observation times are likely correlated with…
Satoshi Usami, Naoya Todo, Kou Murayama
Longitudinal designs provide a strong inferential basis for uncovering reciprocal effects or causality between variables. For this analytic purpose, a cross-lagged panel model (CLPM) has been widely used in medical research, but the use of the CLPM has recently been criticized in methodological literature because…
Authors not listed
Asthma, a chronic respiratory disorder, poses a significant and growing public health burden in Africa, driven by diverse environmental exposures, limited healthcare access, and demographic shifts such as urbanization. This seminar examines the epidemiological profile of asthma across the continent, detailing its…
Dunia Alarkawi, M Sanni Ali, Dana Bliuc, Jacqueline R Center + 1 more
'Daniel Prieto‐Alhambra'] Title: ABSTRACT Pharmacoepidemiology is used extensively in osteoporosis research and involves the study of the use and effects of drugs in large numbers of people. Randomized controlled trials are considered the gold standard in assessing treatment efficacy and safety. However, their results…
PETER CARDEW, Keith Gregory, Adam Lechmere
In order to meet the EU requirement of compliance with the 10 µg/l lead standard utility companies in England and Wales implemented a large-scale plumbosolvency treatment programme based around the addition of orthophosphate. This was largely delivered by the end of 2003. This solution has resulted in a major…
Jennifer A. Ailshire, Eileen M. Crimmins
Recent growth in the number of adults surviving to advanced ages raises questions about the quality of life associated with increased longevity. Psychosocial factors have received relatively little attention in research on quality of life among the oldest-old. This study uses nationally representative data on older US…
Seyma Alcicek, Piotr Put, Adam Kubrak, Fatih Celal Alcicek + 4 more
NMR relaxometry is an analytical method that provides information about the molecular environment, including even NMR “silent” molecules (spin-0), by analyzing the properties of NMR signals versus the magnitude of the longitudinal field. Conventionally, this technique has been performed at fields much higher than…
Authors not listed
The proper quantitative NMR (qNMR) setup requires efficient relaxation of all active nuclei between scans. To achieve this, the spectroscopist has to know the longitudinal relaxation constant (T1) for each nucleus involved in the experiment and set the interscan delay to at least five times the longest T1. The T1 is…