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1,308 results on '"Griffith, Lauren"'

27. Modelling Complex Survey Data Using R, SAS, SPSS and Stata: A Comparison Using CLSA Datasets

Author

So, Hon Yiu, Oz, Urun Erbas, Griffith, Lauren, Kirkland, Susan, Ma, Jinhua, Raina, Parminder, Sohel, Nazmul, Thompson, Mary E., Wolfson, Christina, and Wu, Changbao

Subjects
Statistics - Computation, 62-04 (Primary), 62D05 (secondary)
Abstract

The R software has become popular among researchers due to its flexibility and open-source nature. However, researchers in the fields of public health and epidemiological studies are more customary to commercial statistical softwares such as SAS, SPSS and Stata. This paper provides a comprehensive comparison on analysis of health survey data using the R survey package, SAS, SPSS and Stata. We describe detailed R codes and procedures for other software packages on commonly encountered statistical analyses, such as estimation of population means and regression analysis, using datasets from the Canadian Longitudinal Study on Aging (CLSA). It is hoped that the paper stimulates interest among health science researchers to carry data analysis using R and also serves as a cookbook for statistical analysis using different software packages., Comment: There is a data usage issue with the paper and it is requested by the data owner (CLSA) to withdraw the paper at this time

Published
2020

35. Protocol for a living evidence synthesis on variants of concern and COVID-19 vaccine effectiveness

Author

Shaver, Nicole, Katz, Melanie, Darko Asamoah, Gideon, Linkins, Lori-Ann, Abdelkader, Wael, Beck, Andrew, Bennett, Alexandria, Hughes, Sarah E, Smith, Maureen, Begin, Mpho, Coyle, Doug, Piggott, Thomas, Kagina, Benjamin M., Welch, Vivian, Colijn, Caroline, Earn, David J.D., El Emam, Khaled, Heffernan, Jane, O'Brien, Sheila F., Wilson, Kumanan, Collins, Erin, Navarro, Tamara, Beyene, Joseph, Boutron, Isabelle, Bowdish, Dawn, Cooper, Curtis, Costa, Andrew, Curran, Janet, Griffith, Lauren, Hsu, Amy, Grimshaw, Jeremy, Langlois, Marc-André, Li, Xiaoguang, Pham-Huy, Anne, Raina, Parminder, Rubini, Michele, Thabane, Lehana, Wang, Hui, Xu, Lan, Brouwers, Melissa, Horsley, Tanya, Lavis, John, Iorio, Alfonso, and Little, Julian

Published
2023
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36. Cartilage tissue engineering using human embryonic stem cells

Author

Griffith, Lauren Asha, Houghton, Franchesca, and Tare, Rahul

Subjects
616.7
Abstract

Osteoarthritis (OA) is the most prevalent joint disease and is a leading cause of disability, particularly amongst the elderly. OA is caused by articular cartilage degradation. Hyaline articular cartilage covers the ends of bones and enables the smooth articulation of joints by reducing friction and functioning as a shock absorber. Articular cartilage is susceptible to damage and due to its avascular phenotype, self-repair is limited. Current early intervention strategies, including autologous chondrocyte implantation, typically produce fibrous rather than hyaline cartilage and frequently fail to provide a long-term solution. Most patients ultimately require total joint replacement surgery, a late stage treatment option that carries appreciable risks. An alternative early intervention treatment that focusses on replacing damaged tissue with hyaline cartilage is required; tissue engineering provides a platform to move from cell- to tissue-based treatments and facilitates the in vitro generation of hyaline tissue for cartilage repair. Human embryonic stem cells (hESCs) are pluripotent and therefore have the potential todifferentiate into cells from all three germ layers. They can also proliferate indefinitely in vitro without showing signs of cellular senescence. hESCs therefore overcome many of the limitations associated with primary chondrocytes and adult stem cells. This study demonstrates the generation of a successful and highly reproducible protocol for the generation of hESC-derived cartilage. hESC-derived chondrocytes formed mechanically-stable hyaline-like cartilage in pellet culture that was able to repair a partial-thickness defect in ex-vivo organotypic culture. Furthermore, co-culture of hESC-derived cartilage pellets with native cartilage enabled the generation of previously unattainable volumes of healthy hyaline-like cartilage, exceeding 6mm in diameter. In conclusion, this thesis demonstrates the scaffold-free generation of healthy, hyaline tissue engineered cartilage on a scale that has not previously been demonstrated. Use of hESC-derived chondrocytes has overcome limitations of scale-up and has enabled the development of bioengineered cartilage of clinically relevant proportions. This work provides compelling evidence for the use of hESC-derived cartilage in the development of new treatments for cartilage damage.

Published
2020

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