Relevant bibliographies by topics / Meta-analysis

Academic literature on the topic 'Meta-analysis'

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Published: 4 June 2021
Last updated: 30 July 2024

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Journal articles on the topic "Meta-analysis"

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Pour, Marzieh Ghobadi. "What is Meta-Analysis?" Paripex - Indian Journal Of Research 2, no. 2 (January 15, 2012): 94–95. http://dx.doi.org/10.15373/22501991/feb2013/30.

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Polat, Seyat, and Osman Ay. "Meta-synthesis: A Conceptual Analysis." Journal of Qualitative Research in Education 4, no. 2 (July 29, 2016): 1–25. http://dx.doi.org/10.14689/issn.2148-2624.1.4c2s3m.

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Meghisan, Georgeta-Madalina, and Thierry Burger-Helmchen. "Meta-analysis in marketing research." Innovative Marketing 13, no. 1 (May 12, 2017): 6–10. http://dx.doi.org/10.21511/im.13(1).2017.01.

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Meta-analysis is a method that allows us to accomplish such a work by combining the results of several studies in order to make an objective synthesis following precise stages. With the help of meta-analysis, we can quantify a global result for the entire studies taken into consideration and obtain a more precise response and a more acceptable generalization. This paper focuses on the steps of meta-analysis on resumed data, which are used more frequently, because they can easily tend towards exhaustiveness. The synthesis work has to be standardized. It consists in four stages: studies’ research, selection, data extraction and analysis. Its feasibility is linked to the existence of a sufficient number of studies that can be included in this meta-analysis. This method has been used in research since 1970 and it became irreplaceable for making recommendations. Its application field is only limited to that of existent studies.
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Kostis, John B. "Meta-Analysis, Meta-Regression, and Meta-Physics." Journal of Clinical Hypertension 5, no. 1 (January 2003): 64–75. http://dx.doi.org/10.1111/j.1524-6175.2003.01487.x.

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Lukviarman, Niki, and Arief Prima Johan. "Meta-analysis of corporate governance in Asia." Investment Management and Financial Innovations 15, no. 2 (June 19, 2018): 267–80. http://dx.doi.org/10.21511/imfi.15(2).2018.24.

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Research on corporate governance has been conducted extensively over the past few decades. However, the result of various studies failed to produce conclusive insight. This study is aimed at identifying, classifying, analyzing and interpreting previous research on corporate governance in Asia by using meta-analytical approach. By using the HOMA (Hedges-Olkin Meta-Analytical) procedures, the current study collected eighty articles from journals ranging from 1999 until 2017. Data were gathered from empirical scientific papers. Through rigorous research process, the current study found that most previous research on corporate governance in Asia observed the patterns of influence of various types of ownership structure and board characteristics on corporate performance. Ownership by family, government, and management tend to have a negative impact on performance, whilst institutional ownership and foreign ownership show positive effect on performance. The study reveals inconsistent result for frequency of board meetings, existence of family members on board, outside director, and board independence towards performance. Similar finding appeared for the relationship of performance to women on board and CEO duality. CGPI as the Corporate Governance Perception index and board size were found to have a positive consistency on performance. Apart from limitations of the study, the result suggests that there exists institutional and environmental specificity in the study of corporate governance in Asia that may be different from other context of study so that future researcher need to take a precaution of this matter.
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Lumley, Thomas, and Anthony Keech. "Meta-meta-analysis with confidence." Lancet 346, no. 8974 (August 1995): 576–77. http://dx.doi.org/10.1016/s0140-6736(95)91413-7.

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Rapuano, Christopher J. "META-ANALYSIS." Evidence-Based Ophthalmology 12, no. 2 (April 2011): 72–73. http://dx.doi.org/10.1097/ieb.0b013e3182126b1b.

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Chadwick, Jeremy, and Frederic M. Wolf. "Meta-Analysis." Statistician 36, no. 1 (1987): 62. http://dx.doi.org/10.2307/2988279.

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Gibaldi, Milo. "Meta-Analysis." Drugs 46, no. 5 (November 1993): 805–18. http://dx.doi.org/10.2165/00003495-199346050-00002.

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Lee, Juneyoung. "Meta-analysis." Journal of Korean Endocrine Society 23, no. 6 (2008): 361. http://dx.doi.org/10.3803/jkes.2008.23.6.361.

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Dissertations / Theses on the topic "Meta-analysis"

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COLAGROSSI, MARCO. "META-ANALYSIS AND META-REGRESSION ANALYSIS IN ECONOMICS: METHODOLOGY AND APPLICATIONS." Doctoral thesis, Università Cattolica del Sacro Cuore, 2017. http://hdl.handle.net/10280/19697.

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A partire dagli anni ’80, la diffusione dei metodi statistici, abbinata ai progressi nelle capacità computazionali dei personal computers, ha progressivamente facilitato i ricercatori nel testare empiricamente le proprie teorie. Gli economisti sono diventati in grado di eseguire milioni di regressioni prima di pranzo senza abbandonare le proprie scrivanie. Purtroppo, ciò ha portato ad un accumulo di evidenze spesso eterogenee, quando non contradditorie se non esplicitamente in conflitto. Per affrontare il problema, questa tesi fornirà una panoramica dei metodi meta-analitici disponibili in economia. Nella prima parte verranno introdotte le intuizioni alla base dei modelli gerarchici a fattori fissi e casuali capaci di risolvere le problematicità derivanti dalla presenza di osservazioni non indipendenti. Verrà inoltre affrontato il tema dell’errore sistematico di pubblicazione in presenza di elevata eterogeneità tra gli studi. La metodologia verrà successivamente applicata, nella seconda e terza parte, a due diverse aree della letteratura economica: l’impatto del rapporto banca-impresa sulle prestazioni aziendali e il dibattito sulla relazione fra democrazia e crescita. Mentre nel primo caso la correlazione negativa non è influenzata da fattori specifici ai singoli paesi, il contrario è vero per spiegare l’impatto (statisticamente non significativo) delle istituzioni democratiche sullo sviluppo economico. Quali siano questi fattori è però meno chiaro; gli studiosi non hanno ancora individuato le co-variate – o la corretta misurazione di esse – capaci di spiegare questa discussa relazione.
Starting in the late 1980s, improved computing performances and spread knowledge of statistical methods allowed researchers to put their theories to test. Formerly constrained economists became able [to] run millions of regressions before lunch without leaving their desks. Unfortunately, this led to an accumulation of often conflicting evidences. To address such issue, this thesis will provide an overview of the meta-analysis methods available in economics. The first paper will explain the intuitions behind fixed and random effects models in such a framework. It will then detail how multilevel modelling can help overcome hierarchical dependence issues. Finally, it will address the problem of publication bias in presence of high between-studies heterogeneity. Such methods will be then applied, in the second and third papers, to two different areas of the economics literature: the effect of relationship banking on firm performances and the democracy and growth conundrum. Results are far-reaching. While in the first case the documented negative relation is not driven by country-specific characteristics the opposite is true for the (statistically insignificant) impact of democratic institutions on economic growth. What these characteristics are is, however, less clear. Scholars have not yet found the covariates - or their suitable proxies - that matter to explain such much-debated relationship.
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COLAGROSSI, MARCO. "META-ANALYSIS AND META-REGRESSION ANALYSIS IN ECONOMICS: METHODOLOGY AND APPLICATIONS." Doctoral thesis, Università Cattolica del Sacro Cuore, 2017. http://hdl.handle.net/10280/19697.

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A partire dagli anni ’80, la diffusione dei metodi statistici, abbinata ai progressi nelle capacità computazionali dei personal computers, ha progressivamente facilitato i ricercatori nel testare empiricamente le proprie teorie. Gli economisti sono diventati in grado di eseguire milioni di regressioni prima di pranzo senza abbandonare le proprie scrivanie. Purtroppo, ciò ha portato ad un accumulo di evidenze spesso eterogenee, quando non contradditorie se non esplicitamente in conflitto. Per affrontare il problema, questa tesi fornirà una panoramica dei metodi meta-analitici disponibili in economia. Nella prima parte verranno introdotte le intuizioni alla base dei modelli gerarchici a fattori fissi e casuali capaci di risolvere le problematicità derivanti dalla presenza di osservazioni non indipendenti. Verrà inoltre affrontato il tema dell’errore sistematico di pubblicazione in presenza di elevata eterogeneità tra gli studi. La metodologia verrà successivamente applicata, nella seconda e terza parte, a due diverse aree della letteratura economica: l’impatto del rapporto banca-impresa sulle prestazioni aziendali e il dibattito sulla relazione fra democrazia e crescita. Mentre nel primo caso la correlazione negativa non è influenzata da fattori specifici ai singoli paesi, il contrario è vero per spiegare l’impatto (statisticamente non significativo) delle istituzioni democratiche sullo sviluppo economico. Quali siano questi fattori è però meno chiaro; gli studiosi non hanno ancora individuato le co-variate – o la corretta misurazione di esse – capaci di spiegare questa discussa relazione.
Starting in the late 1980s, improved computing performances and spread knowledge of statistical methods allowed researchers to put their theories to test. Formerly constrained economists became able [to] run millions of regressions before lunch without leaving their desks. Unfortunately, this led to an accumulation of often conflicting evidences. To address such issue, this thesis will provide an overview of the meta-analysis methods available in economics. The first paper will explain the intuitions behind fixed and random effects models in such a framework. It will then detail how multilevel modelling can help overcome hierarchical dependence issues. Finally, it will address the problem of publication bias in presence of high between-studies heterogeneity. Such methods will be then applied, in the second and third papers, to two different areas of the economics literature: the effect of relationship banking on firm performances and the democracy and growth conundrum. Results are far-reaching. While in the first case the documented negative relation is not driven by country-specific characteristics the opposite is true for the (statistically insignificant) impact of democratic institutions on economic growth. What these characteristics are is, however, less clear. Scholars have not yet found the covariates - or their suitable proxies - that matter to explain such much-debated relationship.
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Pan, Jingwen. "Labyrinthulomycetes diversity meta-analysis." Thesis, University of British Columbia, 2016. http://hdl.handle.net/2429/56302.

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Labyrinthulomycetes are a group of ubiquitous stramenopiles that inhabit a wide range of habitats and play important ecological roles as nutrient recyclers and sometimes disease causing agents. Even though they have had a long history of being studied, their diversity has not yet been fully explored. The lack of a comprehensive reference database with up-to-date phylogeny also hinders any pursuits in understanding the ecological distribution of this group. This study was designed with the purpose of constructing a curated reference database and a phylogenetic tree based on existing 18S rDNA data, and then using this database to uncover any hidden diversity and novelty among Labyrinthulomycetes and provide a reference guidance for future identification. Using the newly-created reference database, I also analyzed high-throughput environmental sequencing data from two databases. My results reveal extensive diversity within the Labyrinthulomycetes, and recover many previously unknown environmental sequences, greatly expanding our knowledge of the ecological distribution of this group. The high-throughput environmental sequencing data analysis also shows some of the newly identified environmental clades to be particularly abundant in the ocean. The phylogenetic framework I have provided in this study, together with the metadata I have compiled, will serve as a useful tool for future ecological and evolutionary studies of this widespread lineage.
Science, Faculty of
Botany, Department of
Graduate
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Boykova, Alla. "An introduction to meta analysis." Manhattan, Kan. : Kansas State University, 2008. http://hdl.handle.net/2097/605.

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Jamain, Adrien. "Meta-analysis of classification methods." Thesis, Imperial College London, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.413686.

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Gandini, Sara. "Meta-analysis in cancer epidemiology." Thesis, University of Birmingham, 2004. http://etheses.bham.ac.uk//id/eprint/251/.

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A published meta-analysis on breast cancer and vegetables and fruit consumption was described to present a methodology used on meta-analysis in Epidemiology. Meta-analysis confirmed the association between intake of vegetables (RR=0.74; 95%CI 0.65-0.84) and, to a lesser extent, fruit and breast cancer risk (RR=0.93; 95%CI 0.79-1.09). Using this methodology, present in a peer-reviewed journal, a systematic meta-analysis on melanoma was conducted extracting RRs from published studies. Fully adjusted estimates were obtained from those studies, when available; RRs adjusted for confounders not related to sun exposure, such as naevi, were considered for sun exposure and sunburns pooled estimates. Pooled estimates were obtained for all main risk factors for melanoma: sun exposure (total, intermittent and chronic), sunburns (in childhood and in adulthood), indicators of actinic damage, family history of melanoma and phenotype characteristics. Investigation of biases and inconsistencies among studies was one of the key phases of the meta-analysis to look for patterns among studies that might explain discrepant findings. The analyses on pigmented lesions and sun exposure showed that the choice of sources of cases and controls influenced significantly the estimate. An indication of a protective effect of chronic sun exposure came from studies that did not include subjects with dermatological problems (significantly different from the other studies: p=0.01). Publication year was an important factor for total sun exposure (p=0.005). Latitude of the study seemed to be an important factor for sunburns (p=0.002) and for high density of freckles (p=0.04). Estimates for hair colour and eye colour adjusted for phenotype and/or photo-type were significantly lower than unadjusted ones (p=0.06 and p=0.06, respectively). This study highlighted how several features of study design, type of analysis, categorization of exposures, study location and populations significantly explained between-study heterogeneity.
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Paterson, Chris Edward. "Progressive relaxation : a meta-analysis /." The Ohio State University, 1987. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487332636477408.

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Wise, Joan Catherine. "Bereavement interventions a meta-analysis /." Online full text .pdf document, available to Fuller patrons only, 2003. http://www.tren.com.

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Gen, Sheldon. "Meta-Analysis of Environmental Valuation Studies." Diss., Georgia Institute of Technology, 2004. http://hdl.handle.net/1853/4843.

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Cost-benefit analysis has long been a dominant method of policy analysis. When applied to policies affecting the environment, however, it faced a serious problem. Many policies exert environmental impacts that are external to market transactions, so the values of these impacts resist monetary measurement. This shortcoming in cost-benefit analysis led some researchers to develop indirect and nonmarket methods of valuing environmental goods monetarily. They include the travel cost method, hedonic pricing, and contingent valuation. The popularity of these methods has grown since their inceptions, but so have controversies over their use. Economists and others have taken all sides of the debate over the validity of the methods and their normative implications. These methods popularity and controversies necessitate their critical evaluation. This research fills this need through an extensive meta-analysis of 228 existing environmental valuation studies representing the contemporary practices in each method, and capturing varieties of environmental goods and settings. The analysis tested the convergent validity of the three valuation methods, and measured the moderating effects of select variables. The results show that effect sizes of the hedonic pricing and travel cost methods converge, but contingent valuation produces effect sizes that average 40% to 55% less than the other two methods. This difference varies significantly with the environment good being valued. Other significant moderating variables include the magnitude of the environmental change, the description of the change, and the location of the study. The year of study does not significantly moderate effect sizes. These results supplement descriptive and normative frameworks for environmental valuation described by Barbier (1994), Navrud and Pruckner (1997), and Norton (1995). When the evidence and these frameworks are considered together, the defensible uses of these three valuation methods become very limited. Valuation efforts should focus on multiple dimensions of environmental value, besides economic dimensions, that reflect ecological health and public concerns for the environment.
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Nell, Christopher Warren. "Automating meta-algorithmic analysis and design." Thesis, University of British Columbia, 2011. http://hdl.handle.net/2429/38247.

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Sophisticated empirical methods based upon automated experimental analysis techniques drive the development of high-performance solvers for an increasing range of problems from industry and academia. However, tools implementing these methods are often difficult to develop and to use. This thesis describes work towards addressing this issue. First, we develop a formal description of meta-algorithmic problems, and use it as the basis for a framework supporting the development and application of a broad class of automated algorithm analysis and design techniques. Second, we describe the High-performance Algorithm Laboratory (HAL), an extensible software implementation of this framework that provides developers and users of automated empirical techniques with support for distributed execution, remote monitoring, data management, and statistical analysis of results. We use HAL to construct a suite of interoperable tools that implement a variety of automated empirical techniques, and demonstrate our approach by conducting a sequence of increasingly complex analysis and design tasks on state-of-the-art solvers for Boolean satisfiability and mixed-integer programming problems.
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Books on the topic "Meta-analysis"

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Khan, Shahjahan. Meta-Analysis. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5032-4.

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Cheung, Mike W. L. Meta-Analysis. Chichester, UK: John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118957813.

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Wolf, Fredric. Meta-Analysis. 2455 Teller Road, Newbury Park California 91320 United States of America: SAGE Publications, Inc., 1986. http://dx.doi.org/10.4135/9781412984980.

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Cleophas, Ton J., and Aeilko H. Zwinderman. Modern Meta-Analysis. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55895-0.

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Biondi-Zoccai, Giuseppe, ed. Diagnostic Meta-Analysis. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-78966-8.

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1961-, Wilson David B., ed. Practical meta-analysis. Thousand Oaks, Calif: Sage Publications, 2001.

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Mullen, Brian. Advanced BASIC meta-analysis. 2nd ed. Mahwah, NJ: Lawrence Erlbaum, 2003.

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Schmid, Christopher H., Theo Stijnen, and Ian R. White. Handbook of Meta-Analysis. Edited by Christopher H. Schmid, Theo Stijnen, and Ian White. First edition. | Boca Raton : Taylor and Francis, [2020] | Series: Chapman & Hall/CRC handbooks of modern statistical methods: Chapman and Hall/CRC, 2020. http://dx.doi.org/10.1201/9781315119403.

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Schwarzer, Guido, James R. Carpenter, and Gerta Rücker. Meta-Analysis with R. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21416-0.

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Pigott, Terri D. Advances in Meta-Analysis. Boston, MA: Springer US, 2012. http://dx.doi.org/10.1007/978-1-4614-2278-5.

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Book chapters on the topic "Meta-analysis"

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Cleophas, Ton J., and Aeilko H. Zwinderman. "Meta-Meta-analysis." In Modern Meta-Analysis, 135–43. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55895-0_11.

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Cleophas, Ton J., Aeilko H. Zwinderman, and Toine F. Cleophas. "Meta-Analysis." In Statistics Applied to Clinical Trials, 68–79. Dordrecht: Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-015-9508-7_9.

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Wicherts, Jelte. "Meta-analysis." In Encyclopedia of Personality and Individual Differences, 2859–60. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-24612-3_1326.

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Levesque, Roger J. R. "Meta-Analysis." In Encyclopedia of Adolescence, 1729–30. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-1695-2_568.

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Hedges, Larry V., and Elizabeth Tipton. "Meta-analysis." In Handbook of Behavioral Medicine, 909–21. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-0-387-09488-5_58.

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Herzog, Michael H., Gregory Francis, and Aaron Clarke. "Meta-analysis." In Understanding Statistics and Experimental Design, 105–10. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-03499-3_9.

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Franzen, Michael D. "Meta-Analysis." In Encyclopedia of Clinical Neuropsychology, 1578. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-0-387-79948-3_1215.

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Turner, J. Rick. "Meta-analysis." In Encyclopedia of Behavioral Medicine, 1374–76. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39903-0_1038.

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Khanfer, Riyad, John Ryan, Howard Aizenstein, Seema Mutti, David Busse, Ilona S. Yim, J. Rick Turner, et al. "Meta-Analysis." In Encyclopedia of Behavioral Medicine, 1228–29. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1005-9_1038.

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Nahler, Gerhard. "meta-analysis." In Dictionary of Pharmaceutical Medicine, 113. Vienna: Springer Vienna, 2009. http://dx.doi.org/10.1007/978-3-211-89836-9_851.

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Conference papers on the topic "Meta-analysis"

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Aka, Kukuh Andri, Bagus Amirul Mukmin, and Icha Biassari. "Meta-Analysis." In 2nd Annual Conference on Social Science and Humanities (ANCOSH 2020). Paris, France: Atlantis Press, 2021. http://dx.doi.org/10.2991/assehr.k.210413.020.

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Cosma, Alexandru Cristian, and Rodica Potolea. "Meta-NEAT, meta-analysis of neuroevolving topologies." In iiWAS '16: 18th International Conference on Information Integration and Web-based Applications and Services. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/3011141.3011166.

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Miao, Liu, and Wang Xuehua. "Analysis Based on Meta-analysis of Emergency Analysis Based on Meta-analysis of Emergency Management." In Annual International Conference on Computer Science Education: Innovation & Technology CSEIT 2010 & Annual International Conference on Software Engineering SE 2010. Global Science and Technology Forum, 2010. http://dx.doi.org/10.5176/978-981-08-7466-7_itcse-39.

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Wang, Zenan, Xuan Yin, Tianbo Li, and Liangjie Hong. "Causal Meta-Mediation Analysis." In KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3394486.3403313.

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Simbrunner, Philipp, and Bodo B. Schlegelmilch. "MORALITY IN DECISION MAKING: A META-ANALYSIS AND META-REGRESSION." In Bridging Asia and the World: Global Platform for Interface between Marketing and Management. Global Alliance of Marketing & Management Associations, 2016. http://dx.doi.org/10.15444/gmc2016.08.06.01.

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Stein, Benno, Nedim Lipka, and Sven Meyer zu Eissen. "Meta Analysis within Authorship Verification." In 2008 19th International Conference on Database and Expert Systems Applications (DEXA). IEEE, 2008. http://dx.doi.org/10.1109/dexa.2008.20.

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Yang, Xu, Haijing Tang, Xiaonan Dongye, and Guo Chen. "Exploration of meta analysis automation." In 2018 International Conference on Network Infrastructure and Digital Content (IC-NIDC). IEEE, 2018. http://dx.doi.org/10.1109/icnidc.2018.8525710.

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Lyulov, Oleksii, Tetyana Pimonenko, Aleksy Кwilinski, Yana Us, and Bogdan Moskalenko. "Countries’ investment attractiveness: Meta-analysis." In PROCEEDINGS OF THE 2ND INTERNATIONAL INTERDISCIPLINARY SCIENTIFIC CONFERENCE “DIGITALIZATION AND SUSTAINABILITY FOR DEVELOPMENT MANAGEMENT: ECONOMIC, SOCIAL, AND ENVIRONMENTAL ASPECTS”. AIP Publishing, 2024. http://dx.doi.org/10.1063/5.0188474.

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Lederer, F., S. Mühlig, C. Rockstuhl, and C. Menzel. "Multipole analysis of meta-atoms." In Frontiers in Optics. Washington, D.C.: OSA, 2012. http://dx.doi.org/10.1364/fio.2012.fth2a.1.

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Musmar, Basel, Jihad Abdelgadir, Samantha Spellicy, Nimer Adeeb, Pascal Jabbour, and David Hasan. "Antithrombotic Therapy in Cerebral Cavernous Malformations: A Systematic Review, Meta-Analysis, and Network Meta-Analysis." In 33rd Annual Meeting North American Skull Base Society. Georg Thieme Verlag KG, 2024. http://dx.doi.org/10.1055/s-0044-1780019.

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Reports on the topic "Meta-analysis"

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Moeyaert, Mariola. Advanced Meta-Analysis. Instats Inc., 2023. http://dx.doi.org/10.61700/ttn9i9ntp8uvj469.

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This seminar will introduce you to advanced meta-analytic methods. Commonly encountered meta-analytic topics and issues will be covered, including meta-regression models, methods for handling multiple effect sizes per study (i.e., dependent effect sizes), missing data, publication bias, meta-analysis SEM, and single-case experiments meta-analysis. During this seminar, participants will learn how to use RStudio to model these commonly encountered complexities. Hands-on exercises will be incorporated throughout the seminar. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, each seminar offers 2 ECTS Equivalent points.
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Moeyaert, Mariola. Advanced Meta-Analysis. Instats Inc., 2023. http://dx.doi.org/10.61700/k4me5g0k92l56469.

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This seminar will introduce you to advanced meta-analytic methods. Commonly encountered meta-analytic topics and issues will be covered, including meta-regression models, methods for handling multiple effect sizes per study (i.e., dependent effect sizes), missing data, publication bias, meta-analysis SEM, and single-case experiments meta-analysis. During this seminar, participants will learn how to use RStudio to model these commonly encountered complexities. Hands-on exercises will be incorporated throughout the seminar. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, each seminar offers 2 ECTS Equivalent points.
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3

Moeyaert, Mariola. Introduction to Meta-Analysis. Instats Inc., 2023. http://dx.doi.org/10.61700/9egp6tqy3koga469.

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This seminar provides hands-on instruction covering the process of conducting a meta-analysis, from the planning stage through the selection of appropriate statistical techniques, the issues involved in analyzing data, and the interpretation of results. During the seminar you will learn how to use meta-analytic techniques to combine evidence across different research studies; integrate multiple studies into a single statistical framework; obtain precise and generalizable estimates of effect sizes; and explain differences arising from conflicting study results. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, each seminar offers 2 ECTS Equivalent points.
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4

Moeyaert, Mariola. Introduction to Meta-Analysis. Instats Inc., 2023. http://dx.doi.org/10.61700/z1ui6nlaom67q469.

Full text
Abstract:
This seminar provides hands-on instruction covering the process of conducting a meta-analysis, from the planning stage through the selection of appropriate statistical techniques, the issues involved in analyzing data, and the interpretation of results. During the seminar you will learn how to use meta-analytic techniques to combine evidence across different research studies; integrate multiple studies into a single statistical framework; obtain precise and generalizable estimates of effect sizes; and explain differences arising from conflicting study results. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, each seminar offers 2 ECTS Equivalent points.
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5

Manski, Charles. Meta-Analysis for Medical Decisions. Cambridge, MA: National Bureau of Economic Research, January 2019. http://dx.doi.org/10.3386/w25504.

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Banzhaf, H. Spencer. The Value of Statistical Life: A Meta-analysis of Meta-analyses. Cambridge, MA: National Bureau of Economic Research, August 2021. http://dx.doi.org/10.3386/w29185.

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Capcha, Estefani. Overdentures: an overview of meta-analysis. INPLASY - International Platform of Registered Systematic Review Protocols, April 2020. http://dx.doi.org/10.37766/inplasy2020.4.0059.

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Kelley, George. Exercise and Bone Density: Meta-Analysis. Fort Belvoir, VA: Defense Technical Information Center, September 1999. http://dx.doi.org/10.21236/ada371961.

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Phillips, P. Jonathon, and Elaine M. Newton. Meta-analysis of face recognition algorithms. Gaithersburg, MD: National Institute of Standards and Technology, 2001. http://dx.doi.org/10.6028/nist.ir.6719.

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Kelley, George A. Exercise and Bone Density: Meta-Analysis. Fort Belvoir, VA: Defense Technical Information Center, October 2003. http://dx.doi.org/10.21236/ada419310.

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