Aug 28 2014
Date: September 4, 2014 (Thursday)
Time: 12:45 p.m. to 1:45 p.m.
Venue: Lecture Theatre II, G/F, The Prince Philip Dental Hospital
Presenter: Ms. Zhuang Longfei, PhD Candidate (12:45 p.m. to 1:15 p.m.)
Title: Periodontal and peri-implant microbiota in subjects with healthy and inflamed tissues
Abstract: Bacteria, in the form of biofilm, has been shown to play a critical role in the etiology and pathogenesis of periodontal and peri-implant infectious diseases. Studies have shown that distinctively different dental plaque is commonly found in healthy versus inflamed gingivae and mucosa. It should be noted, however, that in most of these studies, the healthy and diseased plaque samples were collected from different individuals. To address this important issue, subjects who were periodontally involved and/or had inflamed peri-implant tissues, and also had equivalent healthy control sites were recruited in my studies. The results indicated that there were larger differences in the composition of the microbial communities found in different individuals, than the differences in microbial composition found between the two sites with different probing depths in the same individual. The putative periodontal pathogens were identified both in healthy and inflamed tissues within the same subjects.
Presenter: Mr. Yau Tak Wai David, MPhil Candidate (1:15 p.m. to 1:45 p.m.)
Title: Bayesian Longitudinal Polytomous Item Response Models for Child Perception Questionnaire
Abstract: Traditional approach to measuring latent constructs is simple yet involving unrealistic assumptions. The item response theory (IRT) not only can circumvent the unrealistic assumptions, useful item and test properties can also be revealed. CPQ11-14 is a pioneer and widely adopted oral health-related quality of life (OHRQoL) instrument for children aged 11 to 14. This study aims to explore the CPQ11-14 psychometric properties by IRT and investigate factors affecting changes in OHRQoL over time. Of particular interests are the identification of potentially biased items, investigation of the reliability under the IRT framework and item discriminatory power.
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