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Randomized consent design is the design at first introduced to overcome some of the perceived ethical problems facing clinicians entering patients in the clinical trials including random allotment. After the patient's eligibility is established the patient is randomized to one of the two treatments A and B. Patients randomized to the treatment A are approached for patient consent. The patients are asked if they are willing to receive the therapy A for their illness. All the potential risks, benefits and treatment options are discussed. If patient agrees for it, treatment A is given. If the patient does not agree, the patient receives treatment B or some other alternative treatment. Those patients who are randomly assigned to group B are similarly asked about the treatment B, and transferred to the alternative treatment if consent is not provided.
Chain-binomial models : Models arising in mathematical theory of the quite infectious diseases, which postulate that at any stage in the epidemic there are a certain number of the
Two-phase sampling is the sampling scheme including two distinct phases, in the first of which the information about the particular variables of interest is collected on all the m
Partial least squares is an alternative to the multiple regressions which, in spite of using the original q explanatory variables directly, constructs the new set of k regressor v
Historical controls : The group of patients treated in the past with the standard therapy, taken in use as the control group for evaluating the new treatment on the present patient
Non-identified response is a term used to signify censored observations in survival data, which are not independent of the endpoint of the interest. Such observations can happen f
The computer programs designed to mimic the role of the expert human consultant. This type of systems are capable to cope with the complex problems of the medical decision makin
Multimodal distribution is the probability distribution or frequency distribution with number of modes. Multimodality is frequently taken as an indication which the observed di
Non linear mapping (NLM ) is a technique for obtaining a low-dimensional representation of the set of multivariate data, which operates by minimizing a function of the differences
Hill-climbing algorithm is an algorithm which is made in use in those techniques of cluster analysis which seek to find the partition of n individuals into g clusters by optimizin
wat iz z difference b/n logistic regression and multiple regression analysis /
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