Search results for "predictive"
showing 10 items of 1373 documents
Predicting First-Year College Student Retention: Validation of the College Persistence Questionnaire in a Spanish Sample
2019
This paper analyzes the factorial and predictive validity of a Spanish adaptation of the College Persistence Questionnaire (SCPQ) on the retention of first year students (FYS) at university. The participants were 490 FYS from two public universities in Southern Europe (Spain). Factorial analysis of the SCPQ (&chi
Factores predictores del compromiso docente en escuelas públicas peruanas: un modelo estructural
2016
Teachers´ engagement in change processes is closely related to their attitudes and views on education. Therefore, any successful educational change demands that teachers reevaluate their profession, as personal and professional factors are clearly relevant. The goal of this study is to test a predictive statistical model of teacher´s engagement in educational change considering personality factors and self-evaluation. The random and representative sample of Peruvian teachers comprised of 888 subjects. Results show good model fit and a strong predictive power on educational changes. The study confirms that personality and selfconcept are strong predictors on teacher´s engagement with educati…
Long‐term molecular differences between resilient and susceptible mice after a single traumatic exposure
2022
Post-traumatic stress disorder (PTSD) is a heterogeneous disorder induced by trauma, resulting in severe long-term impairments of an individual's mental health. PTSD does not develop in every individual and, thus, some individuals are more resilient. However, the underlying molecular mechanisms are poorly understood. Here, we aimed to elucidate these processes.We used a single-trauma PTSD model in mice to induce long-term maladaptive behaviours and profiled the mice 4 weeks after trauma into resilient or susceptible individuals. The classification of phenotype was based on individual responses in different behavioural experiments. We analysed microbiome, circulating endocannabinoids, and lo…
Statistical inference in abstracts of 3 influential clinical pharmacology journals analysed using a text‐mining algorithm
2021
Aim To describe the trend in the prevalence of statistical inference in three influential clinical pharmacology journals METHODS: We applied a computer-based algorithm to abstracts of three clinical pharmacology journals published in 1976 to 2016 to identify statistical inference and its subtypes. Furthermore, we manually reviewed a random sample of 300 articles to access algorithm's performance in finding statistical inference in abstracts and as a screening tool for presence and absence of statistical inference in full text. Result The algorithm identified 59% (13,375/22,516 [mid p 95% CI, 59%-60%]) article abstracts with statistical inference. The percentage of abstracts with statistical…
Modelo predictivo preliminar para la identificación de pacientes con oportunidades de mejora farmacoterapéutica
2010
Objective: To develop a prediction model for identifying patients with the possibility of improving pharmacotherapy during the process of pharmaceutical validation of the prescription. Method: Cross-sectional study over two months, performed in the Internal Medicine and Infectious Disease divisions. Detecting opportunities for improving quality of pharmaco¬therapy is done by means of a pharmacist's validation of the prescription. Based on the information we obtained through this process, we performed a multivariate logistic regression analysis using as prognostic factors the demographic, pharmacotherapy and clinical variables related to identifying any drug-related problems (DRPs) in the pa…
Adverse events as potential predictive factors of activity in patients with advanced hepatocellular carcinoma treated with lenvatinib
2021
Background and Aim: Lenvatinib is a standard of care option in first-line therapy of advanced hepatocellular carcinoma (HCC). In the present study, we aim to identify, in patients with HCC treated with lenvatinib, a possible association between occurrence and grading of adverse events (AEs) and outcome. Methods: We performed a retrospective analysis of 606 Japanese and Italian patients treated with lenvatinib in first-line setting and investigated the possible correlation between the onset of AEs, toxicity grade (G) and outcome measures such as overall survival (OS) and progression-free survival (PFS). Results: The appearance of arterial hypertension G ≥ 2 independently predicted prolonged …
Predicting ACL Injury Using Machine Learning on Data From an Extensive Screening Test Battery of 880 Female Elite Athletes
2022
Background: Injury risk prediction is an emerging field in which more research is needed to recognize the best practices for accurate injury risk assessment. Important issues related to predictive machine learning need to be considered, for example, to avoid overinterpreting the observed prediction performance. Purpose: To carefully investigate the predictive potential of multiple predictive machine learning methods on a large set of risk factor data for anterior cruciate ligament (ACL) injury; the proposed approach takes into account the effect of chance and random variations in prediction performance. Study Design: Case-control study; Level of evidence, 3. Methods: The authors used 3-dime…
Formulation predictive dissolution (fPD) testing to advance oral drug product development: an introduction to the US FDA funded ‘21st Century BA/BE’ …
2018
Over the past decade, formulation predictive dissolution (fPD) testing has gained increasing attention. Another mindset is pushed forward where scientists in our field are more confident to explore the in vivo behavior of an oral drug product by performing predictive in vitro dissolution studies. Similarly, there is an increasing interest in the application of modern computational fluid dynamics (CFD) frameworks and high-performance computing platforms to study the local processes underlying absorption within the gastrointestinal (GI) tract. In that way, CFD and computing platforms both can inform future PBPK-based in silico frameworks and determine the GI-motility-driven hydrodynamic impac…
Influence of exercise loading on magnetic resonance image texture of thigh soft tissues.
2013
Adaptation to exercise training can affect bone marrow adiposity; muscle-fat distribution; and muscle volume, strength and architecture. The objective of this study was to identify exercise-load-associated differences in magnetic resonance image textures of thigh soft tissues between various athlete groups and non-athletes. Ninety female athletes representing five differently loading sport types (high impact, odd impact, high magnitude, repetitive low impact and repetitive non-impact), and 20 non-athletic clinically healthy female controls underwent magnetic resonance imaging. Five thigh muscles, subcutaneous fat and femoral bone marrow were analysed with co-occurrence matrix-based quantita…
Space-time Point Processes semi-parametric estimation with predictive measure information
2014
In this paper, we provide a method to estimate the space-time intensity of a branching-type point process by mixing nonparametric and parametric approaches. The method accounts simultaneously for the estimation of the different model components, applying a forward predictive likelihood estimation approach to semi-parametric models.