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Remiro-Azócar, Antonio; Heath, Anna; Baio, Gianluca – Research Synthesis Methods, 2023
We examine four important considerations in the development of covariate adjustment methodologies for indirect treatment comparisons. First, we consider potential advantages of weighting versus outcome modeling, placing focus on bias-robustness. Second, we outline why model-based extrapolation may be required and useful, in the specific context of…
Descriptors: Medical Research, Outcomes of Treatment, Comparative Analysis, Barriers
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Yoneoka, Daisuke; Omae, Katsuhiro; Henmi, Masayuki; Eguchi, Shinto – Research Synthesis Methods, 2023
The number of clinical prediction models sharing the same prediction task has increased in the medical literature. However, evidence synthesis methodologies that use the results of these prediction models have not been sufficiently studied, particularly in the context of meta-analysis settings where only summary statistics are available. In…
Descriptors: Prediction, Task Analysis, Medical Research, Outcomes of Treatment
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Balmer, Dorene F.; Richards, Boyd F. – Advances in Health Sciences Education, 2022
This paper explores the use of theory in longitudinal qualitative research, an approach to research which explores lived experiences as they unfold. The authors illustrate how the complexity of conducting qualitative research through time drives an understanding and use of theory that differs from other research approaches. Longitudinal…
Descriptors: Qualitative Research, Longitudinal Studies, Theories, Models
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Konstantina Chalkou; Tasnim Hamza; Pascal Benkert; Jens Kuhle; Chiara Zecca; Gabrielle Simoneau; Fabio Pellegrini; Andrea Manca; Matthias Egger; Georgia Salanti – Research Synthesis Methods, 2024
Some patients benefit from a treatment while others may do so less or do not benefit at all. We have previously developed a two-stage network meta-regression prediction model that synthesized randomized trials and evaluates how treatment effects vary across patient characteristics. In this article, we extended this model to combine different…
Descriptors: Medical Research, Outcomes of Treatment, Risk, Randomized Controlled Trials
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Siegel, Lianne; Chu, Haitao – Research Synthesis Methods, 2023
Reference intervals, or reference ranges, aid medical decision-making by containing a pre-specified proportion (e.g., 95%) of the measurements in a representative healthy population. We recently proposed three approaches for estimating a reference interval from a meta-analysis based on a random effects model: a frequentist approach, a Bayesian…
Descriptors: Bayesian Statistics, Meta Analysis, Intervals, Decision Making
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Waring, Justin; Jenelle, Clarke; Vickers, Rob – Evidence & Policy: A Journal of Research, Debate and Practice, 2021
Background: Knowledge brokers facilitate the creation, sharing and use of knowledge among different research, policy and practice communities. This paper examines the way collective knowledge brokering can address the syntactic, semantic and pragmatic boundaries that separate research and practice communities. Methods: A comparative ethnographic…
Descriptors: Ethnography, Health Services, Medical Research, Facilitators (Individuals)
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Deirdre M. McCarthy; Thomas J. Spencer; Pradeep G. Bhide – Journal of Attention Disorders, 2024
Objective: We offer an overview of ADHD research using mouse models of nicotine exposure. Method: Nicotine exposure of C57BL/6 or Swiss Webster mice occurred during prenatal period only or during the prenatal and the preweaning periods. Behavioral, neuroanatomical and neurotransmitter assays were used to investigate neurobiological mechanisms of…
Descriptors: Models, Attention Deficit Hyperactivity Disorder, Smoking, Animals
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Troy, Jesse D.; Neely, Megan L.; Grambow, Steven C.; Samsa, Gregory P. – Journal of Curriculum and Teaching, 2021
Biostatisticians apply statistical methods to solve problems in the biological sciences. Successful practioners of biostatistics have advanced technical knowledge, are skilled communicators, and can seamlesslessly integrate with interdisciplinary scientific teams. Despite the breadth of skills required for success in this field, most biostatistics…
Descriptors: Biomedicine, Medical Research, Medical Education, Statistics
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Wang, Qianying; Liao, Jing; Lapata, Mirella; Macleod, Malcolm – Research Synthesis Methods, 2022
We sought to apply natural language processing to the task of automatic risk of bias assessment in preclinical literature, which could speed the process of systematic review, provide information to guide research improvement activity, and support translation from preclinical to clinical research. We use 7840 full-text publications describing…
Descriptors: Risk, Natural Language Processing, Medical Research, Networks