- 行動計量学 (ISSN:03855481)
- vol.44, no.2, pp.199-207, 2017 (Released:2018-04-26)
Experimental study with random allocation of treatments is regarded as the gold standard for estimation of causal parameters in statistical causal inference. However, when non-compliance among participants exists in the experiment it is likely to result in biased estimates of the parameters of interest. This paper discusses a sensitivity analysis in the estimation of causal parameters under apparent non-compliance. A motivating example is shown that concerns students' performance in university lectures. A procedure of sensitivity analysis for the estimates of causal parameters is presented that incorporates existence of apparent non-compliers, who are genuine compliers but act as non-compliers. An example of such procedure is shown for the case considered.