Survival analysis refers to statistical techniques which have been designed to circumvent the issues arising out of incomplete information regarding the time until which a desired event or endpoint occurs. The reasons for this may be manifold, for example, lost to follow-up, dropouts from the study, lack of sufficient research budget, and short follow-up period. It is one of the common but complicated analysis done in trials. The current article provides a step-wise guide toward understanding survival functions and performing it.
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Santam Chakraborty (2018) studied this question.
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