Colloquium, Trainings, and Events

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    STAT SPEAKS: Colloquium on the Statistical Sciences

    Last updated: Nov. 3, 2022, 1:55 p.m.

    Speaker: Engr. Xavier Javines Bilon

    Date: Nov. 17, 2022, 5 p.m.

    Venue: via Zoom

    Abstract: Community-led monitoring (CLM)—conducted by and for community members—complements traditional HIV program monitoring and evaluation (M&E) by centering their experiences as the basis of evidence-based advocacy and accountability-seeking toward more effective and transparent HIV responses. This study established a baseline inventory of community organizations working on HIV and HIV key populations, and identified their learning and development needs in relation to their capabilities, access, integration, and utilization of the CLM system. Guided by the CLM framework of UNAIDS, the study employed a multiphasic-mixed methods design that included three data collection phases, the results of which were triangulated and integrated: (1) key informant interviews; (2) a survey; and (3) a validation workshop. Taking the findings of these phases together, community organizations face six overarching barriers that prevent them from establishing and maintaining operational CLM systems. These include (1) systems and tools; (2) knowledge, awareness, attitudes, and values; (3) equipment and infrastructures; (4) skills and capabilities; (5) partnerships; and (6) training needs. Recommendations that may help enable community-led monitoring for HIV in the Philippines—and ultimately empower communities to advocate for reduced inequalities, better representation, and sustained improvements in the country’s HIV response—were presented.

    Capacitating Communities for Change: A National Baseline Study on Community-Led Monitoring for HIV in the Philippines

    November 17, 2022 (Thursday), 5:00 PM – 6:00 PM, via Zoom
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  • STAT SPEAKS: Colloquium on the Statistical Sciences

    Last updated: Nov. 23, 2022, 6:58 p.m.

    Speaker: Dr. Michael Daniel C. Lucagbo

    Date: Dec. 1, 2022, 5 p.m.

    Venue: via Zoom

    Abstract: In vitro dissolution has been shown to be correlated with drug absorption and is often used to assess the equivalence between a test and reference product. In practice, in vitro dissolution profile comparison is often used as a substitute for more costly in vivo bioequivalence studies. Comparison of the dissolution profiles of test and reference products is required by regulatory authorities. Various statistical methods have been developed to assess the equivalence of test profiles. Two of the most widely-used metrics are the difference factor and the similarity factor, denoted in literature as f1 and f2, respectively. In particular, the similarity factor, which was proposed by Moore and Flanner (1996), has generated considerable interest due to its simplicity and has been recommended for dissolution profile comparison by the US Food and Drug Administration (FDA). Regulatory agencies recommend that f2 values greater than 50 may be taken as evidence of equivalence of dissolution profiles. This study reviews some of the current approaches to compare dissolution profiles and develops a methodology to test for similarity between the reference and test profiles under a multivariate normal framework. The accuracy of the methodology shall be evaluated through simulated Type I error rates and powers.

    𝐈𝐧-𝐯𝐢𝐭𝐫𝐨 𝐃𝐢𝐬𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧 𝐏𝐫𝐨𝐟𝐢𝐥𝐞 𝐂𝐨𝐦𝐩𝐚𝐫𝐢𝐬𝐨𝐧
    by 𝘿𝙧. 𝙈𝙞𝙘𝙝𝙖𝙚𝙡 𝘿𝙖𝙣𝙞𝙚𝙡 𝘾. 𝙇𝙪𝙘𝙖𝙜𝙗𝙤

    December 1, 2022 (Thursday), 5:00 - 6:00 PM, via Zoom
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  • STAT SPEAKS: Colloquium on the Statistical Sciences

    Last updated: Nov. 7, 2022, 9 a.m.

    Speaker: Asian Development Bank

    Date: Nov. 21, 2022, 4:30 p.m.

    Venue: via Zoom

    Abstract: Asia and the Pacific has already posted a marked slowdown in achieving many of its Sustainable Development Goals, delaying the point when it reaches its targets for reduced poverty, narrowed social inequality, and improved social mobility, among others. Although many economies in the region reported stronger economic growth in 2021, there were hints of divergent growth paths. Representatives from the Asian Development Bank will present findings from the bank’s statistical flagship publication, Key Indicators for Asia and the Pacific 2022, focusing the impact on the impact of the pandemic on social mobility prospects of the most vulnerable population. Representatives from ADB will also discuss the foundations of natural language processing (NLP) and showcases two case studies on how NLP can support progress towards the Sustainable Development Goals (SDGs) by leveraging on social media posts.

    The UP School of Statistics, in collaboration with Asian Development Bank, present a special 𝗖𝗢𝗟𝗟𝗢𝗤𝗨𝗜𝗨𝗠 𝗢𝗡 𝗧𝗛𝗘 𝗦𝗧𝗔𝗧𝗜𝗦𝗧𝗜𝗖𝗔𝗟 𝗦𝗖𝗜𝗘𝗡𝗖𝗘𝗦 on the 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀 𝗼𝗳 𝗔𝗗𝗕'𝘀 𝗞𝗲𝘆 𝗜𝗻𝗱𝗶𝗰𝗮𝘁𝗼𝗿𝘀 𝗳𝗼𝗿 𝗔𝘀𝗶𝗮 𝗮𝗻𝗱 𝘁𝗵𝗲 𝗣𝗮𝗰𝗶𝗳𝗶𝗰 𝟮𝟬𝟮𝟮 on November 21, 2022 (Monday), 4:30 - 6:00 PM, via Zoom

    To register, kindly answer the form at