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Showing 1 to 15 of 56 results Save | Export
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Landan Zhang; Sylwia Bujkiewicz; Dan Jackson – Research Synthesis Methods, 2024
Simulated treatment comparison (STC) is an established method for performing population adjustment for the indirect comparison of two treatments, where individual patient data (IPD) are available for one trial but only aggregate level information is available for the other. The most commonly used method is what we call 'standard STC'. Here we fit…
Descriptors: Simulation, Patients, Outcomes of Treatment, Comparative Analysis
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Galende-Domínguez, Inés; Rivero-Lezcano, Octavio M. – Research Ethics, 2023
Progress in precision medicine is being achieved through the design of clinical trials that use genetic biomarkers to guide stratification of patients and assignation to treatment or control groups. Genetic analysis of biomarkers is, therefore, essential to complete their objectives, and this involves the study of biological samples from donor…
Descriptors: Genetics, Medical Research, Patients, Ethics
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Cheng, David; Tchetgen, Eric Tchetgen; Signorovitch, James – Research Synthesis Methods, 2023
Matching-adjusted indirect comparison (MAIC) enables indirect comparisons of interventions across separate studies when individual patient-level data (IPD) are available for only one study. Due to its similarity with propensity score weighting, it has been speculated that MAIC can be combined with outcome regression models in the spirit of…
Descriptors: Comparative Analysis, Robustness (Statistics), Intervention, Patients
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Shijie Ren; Sa Ren; Nicky J. Welton; Mark Strong – Research Synthesis Methods, 2024
Population-adjusted indirect comparisons, developed in the 2010s, enable comparisons between two treatments in different studies by balancing patient characteristics in the case where individual patient-level data (IPD) are available for only one study. Health technology assessment (HTA) bodies increasingly rely on these methods to inform funding…
Descriptors: Medical Research, Outcomes of Treatment, Standards, Safety
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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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Sapfo Lignou; Mark Sheehan; Ilina Singh – Research Ethics, 2024
Many research institutions and funders have recently stated their commitment to actively support and promote 'Equality, Diversity and Inclusion' (EDI) in various aspects of health research including Patient and Public Involvement (PPI). However, translating this commitment into specific research projects presents significant challenges that…
Descriptors: Foreign Countries, Medical Research, Patients, Inclusion
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Siemens, Waldemar; Meerpohl, Joerg J.; Rohe, Miriam S.; Buroh, Sabine; Schwarzer, Guido; Becker, Gerhild – Research Synthesis Methods, 2022
Using the Hartung-Knapp method and 95% prediction intervals (PIs) in random-effects meta-analyses is recommended by experts but rarely applied. Therefore, we aimed to reevaluate statistically significant meta-analyses using the Hartung-Knapp method and 95% PIs. In this methodological study, three databases were searched from January 2010 to July…
Descriptors: Cancer, Meta Analysis, Medical Research, Patients
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Daniels, Benjamin; Boffa, Jody; Kwan, Ada; Moyo, Sizulu – Research Ethics, 2023
Simulated standardized patients (SPs) are trained individuals who pose incognito as people seeking treatment in a health care setting. With the method's increasing use and popularity, we propose some standards to adapt the method to contextual considerations of feasibility, and we discuss current issues with the SP method and the experience of…
Descriptors: Deception, Informed Consent, Simulation, Patients
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Remiro-Azócar, Antonio; Heath, Anna; Baio, Gianluca – Research Synthesis Methods, 2022
Population adjustment methods such as matching-adjusted indirect comparison (MAIC) are increasingly used to compare marginal treatment effects when there are cross-trial differences in effect modifiers and limited patient-level data. MAIC is based on propensity score weighting, which is sensitive to poor covariate overlap and cannot extrapolate…
Descriptors: Patients, Medical Research, Comparative Analysis, Outcomes of Treatment
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Larsen, Deirdre; Ikuma, Takeshi; Neubig, Luisa; Kist, Andreas M.; Leonard, Rebecca; McWhorter, Andrew J.; Kunduk, Melda – Journal of Speech, Language, and Hearing Research, 2023
Purpose: This research note illustrates the effects of video data with nonsquare pixels on the pixel-based measures obtained from videofluoroscopic swallow studies (VFSS). Method: Six pixel-based distance and area measures were obtained from two different videoflouroscopic study units; both yielding videos with nonsquare pixels with different…
Descriptors: Video Technology, Measurement, Physiology, Effect Size
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Rost, Michael; Nast, Rebecca; Elger, Bernice S.; Shaw, David – Research Ethics, 2021
This paper addresses psychological factors that might interfere with informed consent on the part of stable patients as potential early-phase clinical trial participants. Thirty-six semistructured interviews with patients who had either diabetes or gout were conducted. We investigated stable patients' attitudes towards participating in a…
Descriptors: Patients, Medical Research, Informed Consent, Psychological Patterns
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Ranieri, V.; Stynes, H.; Kennedy, E. – Research Ethics, 2021
The Confidentiality Advisory Group (CAG) is a specialised body that advises the Health Research Authority (HRA) and the Secretary of State for Health on requests for access to confidential information, in the absence of informed consent from its owners. Its primary role is to oversee the safe use of such information and to counsel the governing…
Descriptors: Foreign Countries, Advisory Committees, Confidentiality, Access to Information
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Abrams, Ruth; Park, Sophie; Wong, Geoff; Rastogi, Juhi; Boylan, Anne-Marie; Tierney, Stephanie; Petrova, Mila; Dawson, Shoba; Roberts, Nia – Research Synthesis Methods, 2021
The involvement of non-researcher contributors (eg, stakeholders, patients and the public, decision and policy makers, experts, lay contributors) has taken a variety of forms within evidence syntheses. Realist reviews are a form of evidence synthesis that involves non-researcher contributors yet this practice has received little attention. In…
Descriptors: Medical Research, Evidence, Patients, Public Opinion
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Proctor, Tanja; Zimmermann, Samuel; Seide, Svenja; Kieser, Meinhard – Research Synthesis Methods, 2022
During drug development, a biomarker is sometimes identified as separating a patient population into those with more and those with less benefit from evaluated treatments. Consequently, later studies might be targeted, while earlier ones are performed in mixed patient populations. This poses a challenge in evidence synthesis, especially if only…
Descriptors: Comparative Analysis, Meta Analysis, Patients, Medical Research
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Devendra Kumar Singh Varshney; Manju Agrawal; Rakesh Kumar Tripathi – Journal of Applied Research on Children, 2022
Background: Dissociative Trance Disorder (DTD), is a complex psychological condition characterized by abrupt trance-like states and altered consciousness, commonly seen in young women throughout various regions of India. Currently, there is a lack of research on the experiences of Indian adolescent girls with DTD and how inaccurate medical…
Descriptors: Foreign Countries, Adolescents, Females, Mental Disorders
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