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Journal articles on the topic 'Meta-analysis'

To see the other types of publications on this topic, follow the link: Meta-analysis.

Author: Grafiati

Published: 4 June 2021

Last updated: 30 July 2024

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1

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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2

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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3

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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4

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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5

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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6

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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7

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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8

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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9

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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10

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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11

Chalmers, Thomas C. "Meta-Analysis." Science 243, no. 4889 (January 20, 1989): 283–84. http://dx.doi.org/10.1126/science.243.4889.283.f.

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12

Hagger, Martin. "Meta-analysis." International Review of Sport and Exercise Psychology 15, no. 1 (January 18, 2022): 120–51. http://dx.doi.org/10.1080/1750984x.2021.1966824.

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13

Nouthe, Brice, Jean Jacques Noubiap, and Valery S. Effoe. "Meta-Analysis." JACC: Cardiovascular Interventions 14, no. 10 (May 2021): 1157. http://dx.doi.org/10.1016/j.jcin.2021.03.001.

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14

NEFF, SAMUEL. "Meta-Analysis." Annals of Internal Medicine 107, no. 5 (November 1, 1987): 791. http://dx.doi.org/10.7326/0003-4819-107-5-791_1.

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15

Choi, Bernard. "Meta-Analysis." Annals of Internal Medicine 109, no. 1 (July 1, 1988): 83. http://dx.doi.org/10.7326/0003-4819-109-1-83_1.

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16

Goodwin, Peter. "Meta-Analysis." Oncology Times 35, no. 23 (December 2013): 33. http://dx.doi.org/10.1097/01.cot.0000440857.64917.89.

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17

Hysong, Sylvia J. "Meta-Analysis." Medical Care 47, no. 3 (March 2009): 356–63. http://dx.doi.org/10.1097/mlr.0b013e3181893f6b.

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18

Cleophas, Ton J., and Aeilko H. Zwinderman. "Meta-Analysis." Circulation 115, no. 22 (June 5, 2007): 2870–75. http://dx.doi.org/10.1161/circulationaha.105.594960.

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19

CHALMERS, T. C. "Meta-Analysis." Science 243, no. 4889 (January 20, 1989): 283–84. http://dx.doi.org/10.1126/science.243.4889.283-e.

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20

Lago, Josilene Nascimento do, Cosmo de Sousa Costa, Larissa Emily de Carvalho Moraes, Raissa Ribeiro da Silva, Gleiciane Moraes Gonçalves, Thainar Stefanie Barbosa de Oliveira, Tatiane Roseli Alves Castro, et al. "Meta-analysis." International Journal for Innovation Education and Research 8, no. 8 (August 6, 2020): 73–87. http://dx.doi.org/10.31686/ijier.vol8.iss8.2493.

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Objective: identify and analyse the evidences about the use of hydroxychloroquine with or without azithromycin in covid-19. Methods: This is a systematic review with meta-analysis using posted articles in December 2019 until May 2020. The research was formulated by a question structured using PICO strategy, in these data bases: BVS, PUBMED, MEDLINE, LILACS, BDENF e SCIELO. Results and discussion: Resulted in 9 articles founded by the PRISMA, approaching 4182 patients. PICO strategy selected and analysed 5 articles projected in Forest plots. Resulting in tree clinical trials (RR: 1.15; IC95%, 0.76 a 1.73), which did not found big differences in the outcome in the groups of patients who used HCQ with or without AZT, comparing with the control group. Two studies analysed the number of deaths/intubations in comparative group, experimental group and control (RR:1.86; IC: 95%, 1.54 a 2.26) resulting in more chance of death /intubation in patients who used HCQ. Conclusion: It was found that is not possible to prove the efficacy of these drugs, due to the limited number of randomized and controlled clinical trials. Therefore, the encourage of scientific production about the HCQ and AZT against Covid-19 is more than necessary.

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21

Feuer, David J., and Julian P. T. Higgins. "Meta-analysis." Palliative Medicine 13, no. 5 (July 1999): 433–37. http://dx.doi.org/10.1191/026921699666884611.

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22

Böhning, D. "Meta-Analysis." Methods of Information in Medicine 44, no. 01 (2005): 127–35. http://dx.doi.org/10.1055/s-0038-1633931.

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Summary Objectives: This contribution provides a unifying concept for meta-analysis integrating the handling of unobserved heterogeneity, study covariates, publication bias and study quality. It is important to consider these issues simultaneously to avoid the occurrence of artifacts, and a method for doing so is suggested here. Methods: The approach is based upon the meta-likelihood in combination with a general linear nonparametric mixed model, which lays the ground for all inferential conclusions suggested here. Results: The concept is illustrated at hand of a meta-analysis investigating the relationship of hormone replacement therapy and breast cancer. The phenomenon of interest has been investigated in many studies for a considerable time and different results were reported. In 1992 a meta-analysis by Sillero-Arenas et al. [1] concluded a small, but significant overall effect of 1.06 on the relative risk scale. Using the meta-likelihood approach it is demonstrated here that this meta-analysis is due to considerable unobserved heterogeneity. Furthermore, it is shown that new methods are available to model this heterogeneity successfully. It is argued further to include available study covariates to explain this heterogeneity in the meta-analysis at hand. Conclusions: The topic of HRT and breast cancer has again very recently become an issue of public debate, when results of a large trial investigating the health effects of hormone replacement therapy were published indicating an increased risk for breast cancer (risk ratio of 1.26). Using an adequate regression model in the previously published meta-analysis an adjusted estimate of effect of 1.14 can be given which is considerably higher than the one published in the meta-analysis of Sillero-Arenas et al. [1]. In summary, it is hoped that the method suggested here contributes further to a good meta-analytic practice in public health and clinical disciplines.

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23

Yee, Brittany E., Nghia H. Nguyen, Bing Zhang, Philip Vutien, Carrie R. Wong, Glen A. Lutchman, and Mindie H. Nguyen. "Meta-analysis." European Journal of Gastroenterology & Hepatology 26, no. 11 (November 2014): 1189–201. http://dx.doi.org/10.1097/meg.0000000000000147.

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24

LYNN, MARY R. "Meta-Analysis." Nursing Research 38, no. 5 (September 1989): 302???305. http://dx.doi.org/10.1097/00006199-198909000-00018.

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25

Haselkom, Jodie K., Judith A. Turner, Paula K. Diehr, Marcia A. Ciol, and Richard A. Deyo. "Meta-analysis." Spine 19, Supplement (September 1994): 2076S—2082S. http://dx.doi.org/10.1097/00007632-199409151-00010.

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26

Tallant, Steven H. "Meta-Analysis." Social Work With Groups 9, no. 3 (February 26, 1987): 43–54. http://dx.doi.org/10.1300/j009v09n03_06.

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27

Allen, Mike. "Meta-Analysis." Communication Monographs 76, no. 4 (December 2009): 398–407. http://dx.doi.org/10.1080/03637750903310386.

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28

Ilfeld, Brian M., and Christopher L. Wu. "Meta-Analysis." Regional Anesthesia and Pain Medicine 37, no. 6 (2012): 571–73. http://dx.doi.org/10.1097/aap.0b013e318270f467.

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29

Lu, Yi, and Hong Jiang. "Meta-analysis." European Journal of Anaesthesiology 29, no. 6 (June 2012): 300. http://dx.doi.org/10.1097/eja.0b013e32834f5edc.

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30

&NA;. "Meta-analysis." Inpharma Weekly &NA;, no. 832 (April 1992): 2–3. http://dx.doi.org/10.2165/00128413-199208320-00002.

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31

Fuerst, Mark. "Meta-analysis." Oncology Times 34, no. 4 (February 2012): 36–37. http://dx.doi.org/10.1097/01.cot.0000413016.77680.b2.

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32

Rhodes, William. "Meta-Analysis." Evaluation Review 36, no. 1 (February 2012): 24–71. http://dx.doi.org/10.1177/0193841x12442673.

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33

Schmidt, Frank. "Meta-Analysis." Organizational Research Methods 11, no. 1 (July 23, 2007): 96–113. http://dx.doi.org/10.1177/1094428107303161.

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34

Kale-Pradhan, Pramodini B., Nicholas P. Mariani, Sheila M. Wilhelm, and Leonard B. Johnson. "Meta-Analysis." Journal of Pharmacy Technology 32, no. 2 (October 9, 2015): 65–70. http://dx.doi.org/10.1177/8755122515610125.

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35

Mulqueen, Jilian M., Christine A. Bartley, and Michael H. Bloch. "Meta-Analysis." Journal of Attention Disorders 19, no. 2 (September 26, 2013): 118–24. http://dx.doi.org/10.1177/1087054713504135.

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36

Rosendaal, F. R., and P. H. Reitsma. "Meta-analysis." Journal of Thrombosis and Haemostasis 12, no. 7 (June 19, 2014): 1009. http://dx.doi.org/10.1111/jth.12616.

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37

Capurso, Gabriele, Lucia Cocomello, Umberto Benedetto, Carlo Cammà, and Gianfranco Delle Fave. "Meta-analysis." Pancreas 41, no. 7 (October 2012): 1125–31. http://dx.doi.org/10.1097/mpa.0b013e318249ce93.

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38

Lin, Jin-Feng, Jin-Min Chen, Jun-Hua Zuo, Allen Yu, Zhu-Jun Xiao, Fei-Hong Deng, Biao Nie, and Bo Jiang. "Meta-analysis." Inflammatory Bowel Diseases 20, no. 8 (August 2014): 1407–15. http://dx.doi.org/10.1097/mib.0000000000000057.

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39

Fallik, Dawn. "Meta-Analysis." Neurology Today 18, no. 23 (December 2018): 12–13. http://dx.doi.org/10.1097/01.nt.0000550488.57951.eb.

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40

Goodman, N. W. "Meta-Analysis." Anaesthesia 52, no. 8 (July 1997): 723–25. http://dx.doi.org/10.1111/j.1365-2044.1997.tb15185.x.

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41

Bulpitt, ChristopherJ. "META-ANALYSIS." Lancet 332, no. 8602 (July 1988): 93–94. http://dx.doi.org/10.1016/s0140-6736(88)90017-7.

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42

Chalmers, ThomasC. "META-ANALYSIS." Lancet 329, no. 8548 (June 1987): 1492. http://dx.doi.org/10.1016/s0140-6736(87)92239-2.

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43

Yusuf, Salim, and Janice Pogue. "Meta-analysis." Lancet 351, no. 9120 (June 1998): 1960. http://dx.doi.org/10.1016/s0140-6736(05)78646-3.

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44

Wang, Xin, Hui Jin Tian, Hu Ke Yang, Pingping Wanyan, and Ye Ji Peng. "Meta-analysis." European Journal of Gastroenterology & Hepatology 23, no. 10 (October 2011): 876–80. http://dx.doi.org/10.1097/meg.0b013e328349de81.

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45

Lin, Ziwei, Yu Bai, and Ping Zheng. "Meta-analysis." European Journal of Gastroenterology & Hepatology 23, no. 12 (November 2011): 1100–1110. http://dx.doi.org/10.1097/meg.0b013e32834b9544.

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46

Lee, Hyun-Ki, Chun-Sick Eom, Young Min Kwon, Jeong Soo Ahn, Sarah Kim, and Sang Min Park. "Meta-analysis." European Journal of Gastroenterology & Hepatology 24, no. 10 (October 2012): 1153–57. http://dx.doi.org/10.1097/meg.0b013e328355e289.

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47

Lomangino, Kevin. "Meta-Analysis." Clinical Nutrition INSIGHT 39, no. 12 (December 2013): 5. http://dx.doi.org/10.1097/01.nmd.0000441193.72765.bb.

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48

&NA;. "Meta-Analysis." Clinical Drug Investigation 10, no. 3 (September 1995): 188–90. http://dx.doi.org/10.2165/00044011-199510030-00009.

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49

Fitzmaurice, Garrett. "Meta-analysis." Nutrition 15, no. 2 (February 1999): 174–76. http://dx.doi.org/10.1016/s0899-9007(98)00161-0.

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50

DeMaria, Anthony N. "Meta-Analysis." Journal of the American College of Cardiology 52, no. 3 (July 2008): 237–38. http://dx.doi.org/10.1016/j.jacc.2008.06.006.

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