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Yin Bun Cheung

As seen in: Color Research & Application, Nature, Wiley Online Library, MDPI, JAMA Network, The Lancet, Pediatrics, American Journal of Obstetrics and Gynecology, Journal of Clinical Epidemiology, Health Policy
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Articles

Modeling time-varying efficacy of RTS,S/AS01 malaria vaccine across trial settings

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By Ziwei Zhao, Paul Milligan Verified, Yin Bun Cheung
| Nature Verified
Abstract Correctly evaluating how vaccine efficacy (VE) changes over time is important for understanding long-term protection and guiding vaccination strategies. Using the 18-month pre-booster data from the multi-center RTS,S/AS01 malaria vaccine trial, we examined how different approaches of modeling time-varying VE affect the interpretation of vaccine protection.
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Infant Growth After Mass Administration of Azithromycin : Secondary Outcomes of a Cluster Randomized Clinical Trial

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By Laura Adubra, Juho Luoma, Yue-Mei Fan, Fadima Cheick Haidara, Lotta Hallamaa, Owen Martell, Camilla Ducker, Dagmar Alber, Per Ashorn, Yin Bun Cheung, Ulla Ashorn, Oumar Samaké, Rikhard Ihamuotila, Kaisa Ylikruuvi
| JAMA Network Verified
Supplement 1. Trial Protocol and Statistical Analysis Plan Supplement 2. eTable 1. Distribution of Azithromycin Doses Received Prior to Each Growth Assessment eTable 2. Anthropometric Outcomes by Treatment Group Among Children Aged 6–8 and 12–14 Months, Non-Adjusted Analysis eTable 3. Prevalence of Underweight, Stunting, and Wasting by Treatment Group and Age Group, Non-Adjusted Analysis eTable 4.
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Flexible and Interpretable Modeling of Overlapping Exposure Risks in Self-Controlled Case Series Analysis

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By Xuezhixing Zhang, Paul Milligan, Yin Bun Cheung
| Wiley Online Library Verified
1 Introduction The self-controlled case series (SCCS) method is frequently employed to evaluate the relationship between transient exposures and subsequent health events, utilizing data from individuals who have experienced the event of interest at least once [1]. The method was first introduced in 1995 for the study of vaccine safety, and has since been applied to a wide range of epidemiological studies [2, 3].
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