Outcomes Prediction in Longitudinal Data: Study Designs Evaluation, use case in ICU Acquired Sepsis

Abstract The application of openness and transparency principles is challenging when using existing or ongoing long-term longitudinal data. One technique that promotes replicability and also is consistent with openness and transparency principles is coordinated analysis. Such analyses, especially when done with a large number of extant longitudinal datasets, tend to draw upon values of data sharing, revelation of code and scripts, and pre-registration. Thus coordinated analyses often provide good examples of how multiple transparency and openness values can come together. We will demonstrate this by presenting two recent large-scale coordinated analyses. One was a 15-study investigation of personality and mortality risk (Graham et al., 2017). The second is a new 16-study investigation of personality trajectories (Graham et al., under revision). We show how multi-study designs are congruent with open science and transparency ideas in the context of longitudinal and other secondary data.

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LonGP: an additive Gaussian process regression model for longitudinal study designs

10.1101/259564 ◽

2018 ◽

Author(s):

Lu Cheng ◽

Siddharth Ramchandran ◽

Tommi Vatanen ◽

Niina Lietzen ◽

Riitta Lahesmaa ◽

...

Keyword(s):

Longitudinal Study ◽

Longitudinal Data ◽

Regression Model ◽

Gaussian Process ◽

Gaussian Process Regression ◽

Parametric Modelling ◽

Time Varying ◽

Mixed Effect ◽

Study Designs ◽

Time Varying Covariates

AbstractMotivationBiomedical research typically involves longitudinal study designs where samples from individuals are measured repeatedly over time and the goal is to identify risk factors (covariates) that are associated with an outcome value. General linear mixed effect models have become the standard workhorse for statistical analysis of data from longitudinal study designs. However, analysis of longitudinal data can be complicated for both practical and theoretical reasons, including difficulties in modelling, correlated outcome values, functional (time-varying) covariates, nonlinear effects, and model inference.ResultsWe present LonGP, an additive Gaussian process regression model for analysis of experimental data from longitudinal study designs. LonGP implements a flexible, non-parametric modelling framework that solves commonly faced challenges in longitudinal data analysis. In addition to inheriting all standard features of Gaussian processes, LonGP can model time-varying random effects and non-stationary signals, incorporate multiple kernel learning, and provide interpretable results for the effects of individual covariates and their interactions. We develop an accurate Bayesian inference and model selection method, and implement an efficient model search algorithm for our additive Gaussian process model. We demonstrate LonGP’s performance and accuracy by analysing various simulated and real longitudinal -omics datasets. Our work is accompanied by a versatile software implementation.AvailabilityLonGP software tool is available athttp://research.cs.aalto.fi/csb/software/longp/[email protected],[email protected]

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Reliabilities of Intraindividual Variability Indicators with Autocorrelated Longitudinal Data: Implications for Longitudinal Study Designs

Multivariate Behavioral Research ◽

10.1080/00273171.2018.1457939 ◽

2018 ◽

Vol 53 (4) ◽

pp. 502-520 ◽

Cited By ~ 8

Author(s):

Han Du ◽

Lijuan Wang

Keyword(s):

Longitudinal Study ◽

Longitudinal Data ◽

Intraindividual Variability ◽

Study Designs

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Effect of pomegranate fruit supplementation on performance and various markers in athletes and active subjects: a systematic review

International Journal for Vitamin and Nutrition Research ◽

10.1024/0300-9831/a000601 ◽

2019 ◽

pp. 1-15

Author(s):

Alicja Urbaniak ◽

Anna Skarpańska-Stejnborn

Keyword(s):

Vessel Diameter ◽

Whole Body ◽

Double Blind Study ◽

Double Blind ◽

Physically Active ◽

Highly Active ◽

Body Strength ◽

Rate Of Increase ◽

Study Designs ◽

Pomegranate Fruit

Abstract. The aim of the study was to review recent findings on the use of POM supplements in athletes of various disciplines and physically active participants. Eleven articles published between 2010 and 2018 were included, where the total number of investigated subjects was 176. Male participants constituted the majority of the group (n = 155), as compared to females (n = 21). 45% of research described was conducted on athletes, whereas the remaining studies were based on highly active participants. Randomised, crossover, double-blind study designs constituted the majority of the experimental designs used. POM supplementation varied in terms of form (pills/juice), dosage (50 ml–500 ml) and time of intervention (7 days–2 months) between studies. Among the reviewed articles, POM supplementation had an effect on the improvement of the following: whole body strength; feeling of vitality; acute and delayed muscle fatigue and soreness; increase in vessel diameter; blood flow and serum level of TAC; reduction in the rate of increase for HR, SBP, CK and LDH; support in the recovery of post-training CK, LDH, CRP and ASAT to their baseline levels; reduction of MMP2, MMP9, hsCRP and MDA; and increased activity of antioxidant enzymes (glutathione peroxidase and superoxide dismutase). In the majority of reviewed articles POM supplementation had a positive effect on a variety of parameters studied and the authors recommended it as a supplement for athletes and physically active bodies.

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Patientenbezogene Komplexität in der Pflege – Kollektive Case Studies im Akutspital

Pflege ◽

10.1024/1012-5302/a000626 ◽

2018 ◽

Vol 31 (5) ◽

pp. 237-244 ◽

Cited By ~ 3

Author(s):

Caroline Gurtner ◽

Rebecca Spirig ◽

Diana Staudacher ◽

Evelyn Huber

Keyword(s):

Case Studies ◽

Study Designs

Zusammenfassung. Hintergrund: Die patientenbezogene Komplexität der Pflege ist durch die Merkmale „Instabilität“, „Unsicherheit“ und „Variabilität“ definiert. Aufgrund der reduzierten Aufenthaltsdauer und der steigenden Zahl chronisch und mehrfach erkrankter Personen erhöht sich die Komplexität der Pflege. Ziel: In dieser Studie untersuchten wir das Phänomen patientenbezogener Komplexität aus Sicht von Pflegefachpersonen und Pflegeexpertinnen im Akutspital. Methode: Im Rahmen eines kollektiven Case-Study-Designs schätzten Pflegefachpersonen und Pflegeexpertinnen die Komplexität von Pflegesituationen mit einem Fragebogen ein. Danach befragten wir sie in Einzelinterviews zu ihrer Einschätzung. Mittels Within-Case-Analyse verdichteten wir die Daten induktiv zu Fallgeschichten. In der Cross-Case-Analyse verglichen wir die Fallgeschichten hinsichtlich deduktiv abgeleiteter Merkmale. Ergebnisse: Die Ausprägung der Komplexität hing in den vier Cases im Wesentlichen davon ab, ob klinische Probleme kontrollierbar und prognostizierbar waren. Je nach individuellen Ressourcen der Patientinnen und Patienten stieg bzw. sank die Komplexität. Schlussfolgerungen: Komplexe Patientensituationen fordern von Pflegefachpersonen Fachwissen, Erfahrung, kommunikative Kompetenzen sowie die Fähigkeit zur Reflexion. Berufsanfänger und Berufsanfängerinnen werden zur Entwicklung dieser Fähigkeiten idealerweise durch erfahrene Berufskolleginnen oder -kollegen unterstützt und beraten.

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