Who can do multivariate survival analysis in STATA?
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Multivariate survival analysis (MVA) is an important statistical method in biomedical research, in particular for studying survival curves of patients undergoing treatment or drug therapy. In general, the survival curves are plotted on a logarithmic scale, so the multivariate survival analysis can use the Cox proportional hazards model. However, many MVA tasks can be solved using the built-in STATA function survival(). Survival analysis is commonly used in medical research, to evaluate the effectiveness of healthcare interventions. It helps
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Who can do multivariate survival analysis in STATA? The answer is, it’s not possible to do it on your own in STATA, at least not with the statistical power you need. You must hire a competent statistician who knows STATA and how to use the survival analysis model properly. You may also seek help from research organizations or industry experts with STATA, but be careful, many of them are scammers who charge exorbitant fees for something as basic as a STATA analysis. There are some
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“For instance, one can use multivariate survival analysis in STATA to investigate the effects of an interaction between two covariates on the outcomes of a continuous variable and a binary response variable. If the interactions between covariates are important, then this multivariate survival analysis can help reveal that connection between them. Another example could be testing whether the strength of an effect on one covariate predicts the outcome on another, such as if the strength of the effects of a covariate on an outcome predicts the effects of another covariate on that outcome