preventive-medicine-2018-posters-abstracts

Preventive Medicine 2018

Journal of Preventive Medicine

ISSN: 2572-5483

Page 71

July 16-17, 2018

London, UK

Edition of International Conference on

Preventive Medicine

& Public Health

ombination vaccines have been extensively used for decades

and bring together the issue of intersection-union. To make

up for the reduction in statistical power at the study level,

researchers have to increase the study sample size. In view of

the nature of immunogenicity variables, we use the geometric

mean concentration of immune response after vaccination as

immunologic endpoint and compare three sample size calculation

methods: the inflation factors method, the incrementing method

and the Bonferroni correction method when there are multiple

continuous co-primary endpoints. The parameters are set

according to the actual situation of combination vaccines and

the simulation results were used as reference. The present study

demonstrates that the incrementing method, the Bonferroni

corrected method and the inflation factors method are all

available when the effect size of each endpoint is comparable

and there is no or weak correlation between each endpoint. When

there is a valid difference of effect sizes among endpoints, the

incrementing method performs better.

Comparison of three sample size estimation methods for non-

inferiority vaccine trials with multiple continuous co-primary

endpoints

Jiaying Yang

, Jingxin Li, Shiyuan Wang, Li Luo

and

Pei Liu

Southeast University, China

J Prev Med 2018, Volume 3

DOI: 10.21767/2572-5483-C1-003