Computation of sample size for vaccine trials of diseases with low incidence
Satagopan, M.C.; Radhakrishna, S. and Kishore Kumar, B.
Computation of sample size for vaccine trials of diseases with low incidence.
Indian Journal of Tuberculosis, 35 (4).
Full text available as:
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.
|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
|Deposited By:||Mrs Naina Pandita|
|Deposited On:||07 January 2009|
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