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Showing 1 to 15 of 46 results Save | Export
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Sebastião Quintas; Mathieu Balaguer; Julie Mauclair; Virginie Woisard; Julien Pinquier – International Journal of Language & Communication Disorders, 2024
Background: Perceptual measures such as speech intelligibility are known to be biased, variant and subjective, to which an automatic approach has been seen as a more reliable alternative. On the other hand, automatic approaches tend to lack explainability, an aspect that can prevent the widespread usage of these technologies clinically. Aims: In…
Descriptors: Speech Communication, Cancer, Human Body, Intelligibility
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Daly, Caitlin H.; Maconachie, Ross; Ades, A. E.; Welton, Nicky J. – Research Synthesis Methods, 2022
Randomised controlled trials of cancer treatments typically report progression free survival (PFS) and overall survival (OS) outcomes. Existing methods to synthesise evidence on PFS and OS either rely on the proportional hazards assumption or make parametric assumptions which may not capture the diverse survival curve shapes across studies and…
Descriptors: Nonparametric Statistics, Randomized Controlled Trials, Evidence, Networks
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Forbes-Lorman, Robin; Korb, Michele; Moser, Amy; Franzen, Margaret A.; Harris, Michelle A. – Journal of College Science Teaching, 2022
Physical and life science disciplines emphasize how basic structural units influence function, yet it is challenging for students to understand structure-function relationships, particularly at molecular scales. Undergraduates in our biology capstone course struggled to connect mutations in a gene encoding a key protein in a cell development…
Descriptors: Formative Evaluation, Science Education, Undergraduate Students, Summative Evaluation
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Cope, Shannon; Chan, Keith; Jansen, Jeroen P. – Research Synthesis Methods, 2020
Background: Network meta-analysis (NMA) of survival data with a multidimensional treatment effect has been introduced as an alternative to NMA based on the proportional hazards assumption. However, these flexible models have some limitations, such as the use of an approximate likelihood based on discrete hazards, rather than a likelihood for…
Descriptors: Multivariate Analysis, Meta Analysis, Network Analysis, Models
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Henderson, Alesha; Miller, Carrie A.; Sutton, Arnethea L.; Guidry, Jeanine P. D. – Health Education & Behavior, 2021
Little is known about how triple negative breast cancer (TNBC) is discussed on the visual social media platform, Instagram. A greater understanding of the experiences of TNBC survivors that are documented on this platform may inform us of how this group of survivors cope with this rare, but aggressive form of breast cancer. This study analyzed a…
Descriptors: Social Media, Cancer, Clinical Diagnosis, Content Analysis
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Maropo, Lidia; de Carvalho, Raiana; Jorge, Ana – Global Studies of Childhood, 2021
This article looks at the social and cultural contexts of children's experiences of illness, through a particular focus on the context of the Global South and the role of the social media platform YouTube in children's culture. It takes a socio-constructivist approach to discuss the case of "CarecaTV" (BaldTV), a Brazilian YouTube…
Descriptors: Children, Cancer, Personal Narratives, Cultural Context
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Freeman, Suzanne C.; Carpenter, James R. – Research Synthesis Methods, 2017
Network meta-analysis (NMA) combines direct and indirect evidence from trials to calculate and rank treatment estimates. While modelling approaches for continuous and binary outcomes are relatively well developed, less work has been done with time-to-event outcomes. Such outcomes are usually analysed using Cox proportional hazard (PH) models.…
Descriptors: Bayesian Statistics, Network Analysis, Meta Analysis, Data
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Freeman, S. C.; Fisher, D.; Tierney, J. F.; Carpenter, J. R. – Research Synthesis Methods, 2018
Background: Stratified medicine seeks to identify patients most likely to respond to treatment. Individual participant data (IPD) network meta-analysis (NMA) models have greater power than individual trials to identify treatment-covariate interactions (TCIs). Treatment-covariate interactions contain "within" and "across" trial…
Descriptors: Medical Research, Patients, Outcomes of Treatment, Meta Analysis
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Fagan, Jesse; Eddens, Katherine S.; Dolly, Jennifer; Vanderford, Nathan L.; Weiss, Heidi; Levens, Justin S. – Journal of Research Administration, 2018
Interdisciplinary research collaboration is needed to perform transformative science and accelerate innovation. The Science of Team Science strives to investigate, evaluate, and foster team science, including institutional policies that may promote or hinder collaborative interdisciplinary research and the resources and infrastructure needed to…
Descriptors: Authors, Network Analysis, Social Networks, Interdisciplinary Approach
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Heuckmann, Benedikt; Hammann, Marcus; Asshoff, Roman – Education Sciences, 2019
Teachers' beliefs about science teaching vary greatly. To analyze the relationships between teachers' beliefs and other variables related to teaching and learning, researchers can use the following two options: single item belief models or belief scales. In this study, we compared both models in the context of teachers' beliefs regarding teaching…
Descriptors: Science Instruction, Teacher Attitudes, Models, Cancer
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Amuta, Ann Oyare; Chen, Xuewei; Mkuu, Rahma – American Journal of Health Education, 2017
Background: Information seeking is crucial in the health behavior context. Cancer information seeking may play a key role in individuals' perceptions and subsequent health behaviors. Purpose: The purpose of this study is to investigate the influence of cancer information seeking on perceptions of cancer worry, fatalism and risk. Methods: Data from…
Descriptors: Cancer, Risk, Anxiety, Information Seeking
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Hester, C. M.; Born, W. K.; Yeh, H. W.; Young, K. L.; James, A. S.; Daley, C. M.; Greiner, K. A. – Health Education Research, 2015
Colorectal cancer (CRC) screening uptake among minorities and those with lower incomes is suboptimal. Behavioral interventions specifically tailored to these populations can increase screening rates and save lives. The Precaution Adoption Process Model (PAPM) allows assignment of a decisional stage for adoption of a behavior such as CRC screening.…
Descriptors: Cancer, Screening Tests, Low Income Groups, Minority Groups
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Checton, Maria G.; Magsamen-Conrad, Kate; Venetis, Maria K.; Greene, Kathryn – Health Education & Behavior, 2015
The purpose of the present study was to apply Berg and Upchurch's developmental-conceptual model toward a better understanding of how couples cope with chronic illness. Specifically, a model was hypothesized in which proximal factors (relational quality), dyadic appraisal (illness interference), and dyadic coping (partner support) influence…
Descriptors: Coping, Chronic Illness, Models, Interpersonal Relationship
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Thompson, Amy; Jordan, Timothy R.; Brookins-Fisher, Jodi; Karmaker, Monita; Evans, Natasha – Health Educator, 2018
The increase of chronic disease in the United States has created a strong demand for health education specialists (HESs) who are trained to facilitate behavioral, environmental and policy changes through program implementation and evaluation. However, it is difficult for colleges and universities to prepare future health educators to be competent…
Descriptors: Urban Universities, Chronic Illness, Health Education, Teaching Methods
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Shelton, Rachel C.; Dunston, Sheba King; Leoce, Nicole; Jandorf, Lina; Thompson, Hayley S.; Erwin, Deborah O. – Health Education & Behavior, 2017
Lay Health Advisor (LHA) programs hold tremendous promise for reducing health disparities and addressing social determinants of health in medically underserved communities, including African American populations. Very little is understood about the capacity of LHAs in these roles and the broader contributions they make to their communities. This…
Descriptors: African Americans, Females, Social Differences, Cancer
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