On the use of survival analysis techniques to estimate medical care costs

Article Abstract:

Survival analysis techniques are inappropriate methods in estimating the cost of health care. The use of the technique can result in dependent censoring that will increase the cost estimates derived by the Kaplan-Meier method and prejudice the figures used in multivariate Cox regressions. Survival analysis, which tends to make Kaplan-Meier-derived costing hard to interpret when survival is over the maximal censoring time, could also violate basic assumptions in proportional hazards with the use of Cox regression models on medical cost data.

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The irrelevance of inference: a decision-making approach to the stochastic evaluation of healthcare technologies

Article Abstract:

It is time to replace the old method of statistical inference with an entirely Bayesian decision theoretic method in evaluating health care technologies. Decisions on the adoption of new health care technologies should be solely based on mean net benefit regardless of its statistical significance. It is argued that inference, whether Bayesian or frequentist, is a redundant method that is inconsistent with the goals of any logical health care system.

Usage, Bayesian statistical decision theory, Bayesian analysis, Inference

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