Computation of sample size for vaccine trials of diseases with low incidence

Satagopan, M.C.; Radhakrishna, S. and Kishore Kumar, B. (1988) Computation of sample size for vaccine trials of diseases with low incidence. Indian Journal of Tuberculosis, 35 (4). pp. 191-194.

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Abstract

Conventional methods for computing sample size to compare two proportions arc assessed in relation to a method (based on a 2-sample Poisson test) specifically suited for use in vaccine trials of diseases with low incidence. All the conventional methods studied tend to over-estimate the required sample size, but the bias is least with Arc sine method with the continuity correction. Use of the specific Poisson-based method leads to appreciable savings in sample size when the disease incidence is low, and is recommended.

EPrint Type:Article
Uncontrolled Keywords:Computing, Sample Size, Low Incidence Diseases, Vaccination, Incidence, Poisson-based Method
Subjects:Investigative Techniques > Epidemiologic Methods > Data Collection > Vital Statistics > Morbidity > Incidence
Environment and Public Health > Public Health > Epidemiologic Methods > Data Collection > Health Surveys
Investigative Techniques > Methods
Natural Sciences > Mathematics
Investigative Techniques > Epidemiologic Methods
Therapeutics > Biological Therapy > Immunotherapy > Immunization > Immunotherapy, Active > Vaccination
Health Care Quality, Access, and Evaluation > Quality of Health Care
Health Care Quality, Access, and Evaluation > Quality of Health Care > Health Care Evaluation Mechanisms > Statistics
Health Services Administration > Quality of Health Care
Environment and Public Health > Public Health > Epidemiologic Methods
-Journal Repositories > Indian Journal of Tuberculosis
ID Code:3194
Deposited By:Mrs Naina Pandita
Deposited On:07 January 2009

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