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Suzanne C. Freeman; Alex J. Sutton; Nicola J. Cooper; Alessandro Gasparini; Michael J. Crowther; Neil Hawkins – Research Synthesis Methods, 2024
Background: Traditionally, meta-analysis of time-to-event outcomes reports a single pooled hazard ratio assuming proportional hazards (PH). For health technology assessment evaluations, hazard ratios are frequently extrapolated across a lifetime horizon. However, when treatment effects vary over time, an assumption of PH is not always valid. The…
Descriptors: Cancer, Medical Research, Bayesian Statistics, Meta Analysis
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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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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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Qi, Xinyue; Zhou, Shouhao; Wang, Yucai; Peterson, Christine – Research Synthesis Methods, 2022
Meta-analysis allows researchers to combine evidence from multiple studies, making it a powerful tool for synthesizing information on the safety profiles of new medical interventions. There is a critical need to identify subgroups at high risk of experiencing treatment-related toxicities. However, this remains quite challenging from a statistical…
Descriptors: Bayesian Statistics, Identification, Meta Analysis, Data Analysis
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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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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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Fong, Carlton J.; Murphy, Kathleen M.; Westbrook, John D.; Markle, Minda M. – Research on Social Work Practice, 2018
Purpose: The objective was to examine experimental and quasi-experimental studies about interventions that (i) included behavioral, psychological, educational, or vocational components; (ii) involved cancer survivors aged 18 years or older; and (iii) assessed employment outcomes. Methods: The aims were both to describe the variety of interventions…
Descriptors: Social Work, Meta Analysis, Cancer, Intervention
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Harrison, Sean; Jones, Hayley E.; Martin, Richard M.; Lewis, Sarah J.; Higgins, Julian P. T. – Research Synthesis Methods, 2017
Meta-analyses combine the results of multiple studies of a common question. Approaches based on effect size estimates from each study are generally regarded as the most informative. However, these methods can only be used if comparable effect sizes can be computed from each study, and this may not be the case due to variation in how the studies…
Descriptors: Meta Analysis, Sample Size, Effect Size, Comparative Analysis
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Gibbs, Alison L.; Goossens, Emery T. – Journal of Statistics Education, 2013
Recent approval of HPV vaccines and their widespread provision to young women provide an interesting context to gain experience with the application of statistical methods in current research. We demonstrate how we have used data extracted from a meta-analysis examining the efficacy of HPV vaccines in clinical trials with students in applied…
Descriptors: Cancer, Immunization Programs, Classification, Outcomes of Treatment
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Piet, Jacob; Wurtzen, Hanne; Zachariae, Robert – Journal of Consulting and Clinical Psychology, 2012
Objective: The use of mindfulness-based therapy (MBT) in oncology settings has become increasingly popular, and research in the field has rapidly expanded. The objective was by means of a systematic review and meta-analysis to evaluate the current evidence for the effect of MBT on symptoms of anxiety and depression in adult cancer patients and…
Descriptors: Evidence, Therapy, Anxiety, Depression (Psychology)
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Masters, Kevin S.; Hooker, Stephanie A. – Journal of Consulting and Clinical Psychology, 2013
Objective: Recently, behavioral scientists have developed greater interest in understanding the relations between religiousness and spirituality (R/S) and health. Our objectives were to (a) provide an overview of the R/S and health literature specific to cardiovascular disease (CVD) and cancer, (b) discuss the importance of religious culture…
Descriptors: Health Promotion, Risk, Well Being, Behavioral Sciences
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Kangas, Maria; Bovbjerg, Dana H.; Montgomery, Guy H. – Psychological Bulletin, 2009
Reports an error in "Cancer-related fatigue: A systematic and meta-analytic review of non-pharmacological therapies for cancer patients" by Maria Kangas, Dana H. Bovbjerg and Guy H. Montgomery (Psychological Bulletin, 2008[Sep], Vol 134[5], 700-741). The URL to the Supplemental Materials for the article is listed incorrectly in two places in the…
Descriptors: Fatigue (Biology), Cancer, Patients, Psychology
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Hagedoorn, Mariet; Sanderman, Robbert; Bolks, Hilde N.; Tuinstra, Jolanda; Coyne, James C. – Psychological Bulletin, 2008
Research concerning distress in couples coping with cancer was integrated using meta-analysis and narrative critical appraisal. Individual levels of distress were determined more by gender than by the role of being the person with cancer versus that person's partner. That is, women reported consistently more distress than men regardless of their…
Descriptors: Cancer, Coping, Psychological Patterns, Stress Management
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Kangas, Maria; Bovbjerg, Dana H.; Montgomery, Guy H. – Psychological Bulletin, 2008
Cancer-related fatigue (CRF) is a significant clinical problem for more than 10 million adults diagnosed with cancer each year worldwide. No "gold standard" treatment presently exists for CRF. To provide a guide for future research to improve the treatment of CRF, the authors conducted the most comprehensive combined systematic and meta-analytic…
Descriptors: Fatigue (Biology), Cancer, Patients, Therapy
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