Multiple Endpoints
Streszczenie
In ANOVA we are mainly based on inter-treatment comparisons. Another
common problems arising in biometric studies (especially in biomedical studies) is that of
comparing two groups of patients (treatment and a control group) based on multiple response
(called multiple endpoints).
In this paper we present the continuos and discrete approaches to multiple endpoints. In
the case of continuous multiple endpoints we have common assumption in that the covariance
matrices in group of the control and observation are equal. Let ρ be the correlation coefficient
between Y₁, and Yj endpoints and ρ₁, be the raw ρ-value obtained using some tests statistics
for the i-th endpoints.
We can also proposed a general bootstrap approach which can be used to estimate the
ρ-value without making any parametric and distributional or correctional assumptions.
Binary outcomes are common in medical studies. We present the modified Bonfferroni
procedures and permutational procedures and we compare these procedures to each other.
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