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Showing 1 to 12 of 118 entries
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The Missing Medians: Exclusion of Ordinal Data from Meta-Analyses.

PloS one

Cumming TB, Churilov L, Sena ES.
PMID: 26697876
PLoS One. 2015 Dec 23;10(12):e0145580. doi: 10.1371/journal.pone.0145580. eCollection 2015.

BACKGROUND: Meta-analyses are considered the gold standard of evidence-based health care, and are used to guide clinical decisions and health policy. A major limitation of current meta-analysis techniques is their inability to pool ordinal data. Our objectives were to...

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Cumming TB, Churilov L, Sena ES. The Missing Medians: Exclusion of Ordinal Data from Meta-Analyses. PLoS One. 2015;10(12):e0145580doi: 10.1371/journal.pone.0145580.
Cumming, T. B., Churilov, L., & Sena, E. S. (2015). The Missing Medians: Exclusion of Ordinal Data from Meta-Analyses. PloS one, 10(12), e0145580. https://doi.org/10.1371/journal.pone.0145580
Cumming, Toby B, et al. "The Missing Medians: Exclusion of Ordinal Data from Meta-Analyses." PloS one vol. 10,12 (2015): e0145580. doi: https://doi.org/10.1371/journal.pone.0145580
Cumming TB, Churilov L, Sena ES. The Missing Medians: Exclusion of Ordinal Data from Meta-Analyses. PLoS One. 2015 Dec 23;10(12):e0145580. doi: 10.1371/journal.pone.0145580. eCollection 2015. PMID: 26697876; PMCID: PMC4689383.
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The Many Flavors of Model-Based Meta-Analysis: Part I-Introduction and Landmark Data.

CPT: pharmacometrics & systems pharmacology

Boucher M, Bennetts M.
PMID: 26933516
CPT Pharmacometrics Syst Pharmacol. 2016 Feb;5(2):54-64. doi: 10.1002/psp4.12041. Epub 2016 Feb 13.

Meta-analysis is an increasingly important aspect of drug development as companies look to benchmark their own compounds with the competition. There is scope to carry out a wide range of analyses addressing key research questions from preclinical through to...

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Boucher M, Bennetts M. The Many Flavors of Model-Based Meta-Analysis: Part I-Introduction and Landmark Data. CPT Pharmacometrics Syst Pharmacol. 2016;5(2):54-64doi: 10.1002/psp4.12041.
Boucher, M., & Bennetts, M. (2016). The Many Flavors of Model-Based Meta-Analysis: Part I-Introduction and Landmark Data. CPT: pharmacometrics & systems pharmacology, 5(2), 54-64. https://doi.org/10.1002/psp4.12041
Boucher, M, and Bennetts, M. "The Many Flavors of Model-Based Meta-Analysis: Part I-Introduction and Landmark Data." CPT: pharmacometrics & systems pharmacology vol. 5,2 (2016): 54-64. doi: https://doi.org/10.1002/psp4.12041
Boucher M, Bennetts M. The Many Flavors of Model-Based Meta-Analysis: Part I-Introduction and Landmark Data. CPT Pharmacometrics Syst Pharmacol. 2016 Feb;5(2):54-64. doi: 10.1002/psp4.12041. Epub 2016 Feb 13. PMID: 26933516; PMCID: PMC4761229.
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A practical guide to systematic literature reviews and meta-analyses in infection prevention: Planning, challenges, and execution.

American journal of infection control

Schweizer ML, Nair R.
PMID: 28918302
Am J Infect Control. 2017 Nov 01;45(11):1292-1294. doi: 10.1016/j.ajic.2017.08.004. Epub 2017 Sep 13.

Systematic literature reviews and meta-analyses are important research designs used to summarize and derive conclusions about the collective evidence on a focused research question in a structured, reproducible manner. The goal of this Methodology Minute is to describe how...

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Schweizer ML, Nair R. A practical guide to systematic literature reviews and meta-analyses in infection prevention: Planning, challenges, and execution. Am J Infect Control. 2017;45(11):1292-1294doi: 10.1016/j.ajic.2017.08.004.
Schweizer, M. L., & Nair, R. (2017). A practical guide to systematic literature reviews and meta-analyses in infection prevention: Planning, challenges, and execution. American journal of infection control, 45(11), 1292-1294. https://doi.org/10.1016/j.ajic.2017.08.004
Schweizer, Marin L, and Nair, Rajeshwari. "A practical guide to systematic literature reviews and meta-analyses in infection prevention: Planning, challenges, and execution." American journal of infection control vol. 45,11 (2017): 1292-1294. doi: https://doi.org/10.1016/j.ajic.2017.08.004
Schweizer ML, Nair R. A practical guide to systematic literature reviews and meta-analyses in infection prevention: Planning, challenges, and execution. Am J Infect Control. 2017 Nov 01;45(11):1292-1294. doi: 10.1016/j.ajic.2017.08.004. Epub 2017 Sep 13. PMID: 28918302.
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Improving the quality of the evidence - The necessity to lead by example.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia

Simons M, Busch K, Avolio A, Kiat H, Davidson A.
PMID: 28974392
J Clin Neurosci. 2017 Dec;46:165-166. doi: 10.1016/j.jocn.2017.09.004. Epub 2017 Sep 30.

Published systematic reviews and meta-analyses should comply with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses, or PRISMA checklist. Variable reporting of systematic reviews has recently led to a number of publications demonstrating a lack of compliance with...

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Simons M, Busch K, Avolio A, et al. Improving the quality of the evidence - The necessity to lead by example. J Clin Neurosci. 2017;46:165-166doi: 10.1016/j.jocn.2017.09.004.
Simons, M., Busch, K., Avolio, A., Kiat, H., & Davidson, A. (2017). Improving the quality of the evidence - The necessity to lead by example. Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia, 46165-166. https://doi.org/10.1016/j.jocn.2017.09.004
Simons, Mary, et al. "Improving the quality of the evidence - The necessity to lead by example." Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia vol. 46 (2017): 165-166. doi: https://doi.org/10.1016/j.jocn.2017.09.004
Simons M, Busch K, Avolio A, Kiat H, Davidson A. Improving the quality of the evidence - The necessity to lead by example. J Clin Neurosci. 2017 Dec;46:165-166. doi: 10.1016/j.jocn.2017.09.004. Epub 2017 Sep 30. PMID: 28974392.
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Standardized mean differences cause funnel plot distortion in publication bias assessments.

eLife

Zwetsloot PP, Van Der Naald M, Sena ES, Howells DW, IntHout J, De Groot JA, Chamuleau SA, MacLeod MR, Wever KE.
PMID: 28884685
Elife. 2017 Sep 08;6. doi: 10.7554/eLife.24260.

Meta-analyses are increasingly used for synthesis of evidence from biomedical research, and often include an assessment of publication bias based on visual or analytical detection of asymmetry in funnel plots. We studied the influence of different normalisation approaches, sample...

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Zwetsloot PP, Van Der Naald M, Sena ES, et al. Standardized mean differences cause funnel plot distortion in publication bias assessments. Elife. 2017;6doi: 10.7554/eLife.24260.
Zwetsloot, P. P., Van Der Naald, M., Sena, E. S., Howells, D. W., IntHout, J., De Groot, J. A., Chamuleau, S. A., MacLeod, M. R., & Wever, K. E. (2017). Standardized mean differences cause funnel plot distortion in publication bias assessments. eLife, 6. https://doi.org/10.7554/eLife.24260
Zwetsloot, Peter-Paul, et al. "Standardized mean differences cause funnel plot distortion in publication bias assessments." eLife vol. 6 (2017). doi: https://doi.org/10.7554/eLife.24260
Zwetsloot PP, Van Der Naald M, Sena ES, Howells DW, IntHout J, De Groot JA, Chamuleau SA, MacLeod MR, Wever KE. Standardized mean differences cause funnel plot distortion in publication bias assessments. Elife. 2017 Sep 08;6. doi: 10.7554/eLife.24260. PMID: 28884685; PMCID: PMC5621838.
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Restrictive or responsive? Outcome classification and unplanned sub-group analyses in meta-analyses.

Anaesthesia

Heesen M, Klimek M, Hoeks SE.
PMID: 28975601
Anaesthesia. 2018 Mar;73(3):279-283. doi: 10.1111/anae.14078. Epub 2017 Oct 04.

No abstract available.

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Heesen M, Klimek M, Hoeks SE. Restrictive or responsive? Outcome classification and unplanned sub-group analyses in meta-analyses. Anaesthesia. 2017;73(3):279-283doi: 10.1111/anae.14078.
Heesen, M., Klimek, M., & Hoeks, S. E. (2018). Restrictive or responsive? Outcome classification and unplanned sub-group analyses in meta-analyses. Anaesthesia, 73(3), 279-283. https://doi.org/10.1111/anae.14078
Heesen, M, et al. "Restrictive or responsive? Outcome classification and unplanned sub-group analyses in meta-analyses." Anaesthesia vol. 73,3 (2018): 279-283. doi: https://doi.org/10.1111/anae.14078
Heesen M, Klimek M, Hoeks SE. Restrictive or responsive? Outcome classification and unplanned sub-group analyses in meta-analyses. Anaesthesia. 2018 Mar;73(3):279-283. doi: 10.1111/anae.14078. Epub 2017 Oct 04. PMID: 28975601.
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Advancing meta-analysis beyond simple parameter estimation.

Journal of evolutionary biology

Scheiner SM.
PMID: 27397636
J Evol Biol. 2016 Oct;29(10):1912-1913. doi: 10.1111/jeb.12944.

No abstract available.

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Scheiner SM. Advancing meta-analysis beyond simple parameter estimation. J Evol Biol. 2016;29(10):1912-1913doi: 10.1111/jeb.12944.
Scheiner, S. M. (2016). Advancing meta-analysis beyond simple parameter estimation. Journal of evolutionary biology, 29(10), 1912-1913. https://doi.org/10.1111/jeb.12944
Scheiner, S M. "Advancing meta-analysis beyond simple parameter estimation." Journal of evolutionary biology vol. 29,10 (2016): 1912-1913. doi: https://doi.org/10.1111/jeb.12944
Scheiner SM. Advancing meta-analysis beyond simple parameter estimation. J Evol Biol. 2016 Oct;29(10):1912-1913. doi: 10.1111/jeb.12944. PMID: 27397636.
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Quantifying differences between conditions in single-case designs: Possible analysis and meta-analysis.

Developmental neurorehabilitation

Manolov R, Solanas A.
PMID: 26809851
Dev Neurorehabil. 2018 May;21(4):238-252. doi: 10.3109/17518423.2015.1100688. Epub 2016 Jan 25.

The current paper is a call for and illustration of a way of closing the gap between basic research and professional practice in the field of neurorehabilitation. Methodologically, single-case experimental designs and the guidelines created regarding their conduct are...

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Manolov R, Solanas A. Quantifying differences between conditions in single-case designs: Possible analysis and meta-analysis. Dev Neurorehabil. 2016;21(4):238-252doi: 10.3109/17518423.2015.1100688.
Manolov, R., & Solanas, A. (2018). Quantifying differences between conditions in single-case designs: Possible analysis and meta-analysis. Developmental neurorehabilitation, 21(4), 238-252. https://doi.org/10.3109/17518423.2015.1100688
Manolov, Rumen, and Solanas, Antonio. "Quantifying differences between conditions in single-case designs: Possible analysis and meta-analysis." Developmental neurorehabilitation vol. 21,4 (2018): 238-252. doi: https://doi.org/10.3109/17518423.2015.1100688
Manolov R, Solanas A. Quantifying differences between conditions in single-case designs: Possible analysis and meta-analysis. Dev Neurorehabil. 2018 May;21(4):238-252. doi: 10.3109/17518423.2015.1100688. Epub 2016 Jan 25. PMID: 26809851.
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[Application of Stata software to test heterogeneity in meta-analysis method].

Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi

Wang D, Mou ZY, Zhai JX, Zong HX, Zhao XD.
PMID: 19031771
Zhonghua Liu Xing Bing Xue Za Zhi. 2008 Jul;29(7):726-9.

To introduce the application of Stata software to heterogeneity test in meta-analysis. A data set was set up according to the example in the study, and the corresponding commands of the methods in Stata 9 software were applied to...

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Wang D, Mou ZY, Zhai JX, et al. [Application of Stata software to test heterogeneity in meta-analysis method]. Zhonghua Liu Xing Bing Xue Za Zhi. 2008;29(7):726-9
Wang, D., Mou, Z. Y., Zhai, J. X., Zong, H. X., & Zhao, X. D. (2008). [Application of Stata software to test heterogeneity in meta-analysis method]. Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi, 29(7), 726-9.
Wang, Dan, et al. "[Application of Stata software to test heterogeneity in meta-analysis method]." Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi vol. 29,7 (2008): 726-9.
Wang D, Mou ZY, Zhai JX, Zong HX, Zhao XD. [Application of Stata software to test heterogeneity in meta-analysis method]. Zhonghua Liu Xing Bing Xue Za Zhi. 2008 Jul;29(7):726-9. Chinese. PMID: 19031771.
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Building a knowledge base on genetic variation and cancer risk through field synopses.

Journal of the National Cancer Institute

Yesupriya A, Gwinn M, Khoury MJ.
PMID: 19116390
J Natl Cancer Inst. 2009 Jan 07;101(1):4-5. doi: 10.1093/jnci/djn452. Epub 2008 Dec 30.

No abstract available.

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Yesupriya A, Gwinn M, Khoury MJ. Building a knowledge base on genetic variation and cancer risk through field synopses. J Natl Cancer Inst. 2008;101(1):4-5doi: 10.1093/jnci/djn452.
Yesupriya, A., Gwinn, M., & Khoury, M. J. (2009). Building a knowledge base on genetic variation and cancer risk through field synopses. Journal of the National Cancer Institute, 101(1), 4-5. https://doi.org/10.1093/jnci/djn452
Yesupriya, Ajay, et al. "Building a knowledge base on genetic variation and cancer risk through field synopses." Journal of the National Cancer Institute vol. 101,1 (2009): 4-5. doi: https://doi.org/10.1093/jnci/djn452
Yesupriya A, Gwinn M, Khoury MJ. Building a knowledge base on genetic variation and cancer risk through field synopses. J Natl Cancer Inst. 2009 Jan 07;101(1):4-5. doi: 10.1093/jnci/djn452. Epub 2008 Dec 30. PMID: 19116390.
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Dobutamine stress echocardiography: single center studies vs. meta-analysis vs. the real world.

Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography

Armstrong WF.
PMID: 19883872
J Am Soc Echocardiogr. 2009 Nov;22(11):1209-11. doi: 10.1016/j.echo.2009.09.018.

No abstract available.

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Armstrong WF. Dobutamine stress echocardiography: single center studies vs. meta-analysis vs. the real world. J Am Soc Echocardiogr. 2009;22(11):1209-11doi: 10.1016/j.echo.2009.09.018.
Armstrong, W. F. (2009). Dobutamine stress echocardiography: single center studies vs. meta-analysis vs. the real world. Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography, 22(11), 1209-11. https://doi.org/10.1016/j.echo.2009.09.018
Armstrong, William F. "Dobutamine stress echocardiography: single center studies vs. meta-analysis vs. the real world." Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography vol. 22,11 (2009): 1209-11. doi: https://doi.org/10.1016/j.echo.2009.09.018
Armstrong WF. Dobutamine stress echocardiography: single center studies vs. meta-analysis vs. the real world. J Am Soc Echocardiogr. 2009 Nov;22(11):1209-11. doi: 10.1016/j.echo.2009.09.018. PMID: 19883872.
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Refining the relationship between personality and subjective well-being.

Psychological bulletin

Steel P, Schmidt J, Shultz J.
PMID: 18193998
Psychol Bull. 2008 Jan;134(1):138-61. doi: 10.1037/0033-2909.134.1.138.

Understanding subjective well-being (SWB) has historically been a core human endeavor and presently spans fields from management to mental health. Previous meta-analyses have indicated that personality traits are one of the best predictors. Still, these past results indicate only...

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Steel P, Schmidt J, Shultz J. Refining the relationship between personality and subjective well-being. Psychol Bull. 2008;134(1):138-61doi: 10.1037/0033-2909.134.1.138.
Steel, P., Schmidt, J., & Shultz, J. (2008). Refining the relationship between personality and subjective well-being. Psychological bulletin, 134(1), 138-61. https://doi.org/10.1037/0033-2909.134.1.138
Steel, Piers, et al. "Refining the relationship between personality and subjective well-being." Psychological bulletin vol. 134,1 (2008): 138-61. doi: https://doi.org/10.1037/0033-2909.134.1.138
Steel P, Schmidt J, Shultz J. Refining the relationship between personality and subjective well-being. Psychol Bull. 2008 Jan;134(1):138-61. doi: 10.1037/0033-2909.134.1.138. PMID: 18193998.
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Showing 1 to 12 of 118 entries