A comprehensive statistical model for the correct evaluation of contraception effectiveness is developed with two goals in mind: first, to help statisticians better understand the general subject of inference by using an interesting specific example, and second, to assist clinical practitioners when dealing with human contraception. The pregnant woman rate and the pregnancy rate are defined and computed using the chance of a woman conceiving in a single cycle while taking some form of contraception. This is used to estimate the values of these rates from experimental trials, taking into account the number of followed women and the length of time they are followed for, as well as the types of events that may be counted in the trials, such as pregnant women or pregnancies. Computing pregnancies, on the other hand, can bias trial results because conceiving women, who are supposedly at a higher risk of pregnancy, should be replaced in the sample with new ones, whereas computing pregnant women allows for more objectivity because those pregnant women stay in the sample until the trial ends. As a result, the investigation yielded a more realistic efficacy rate.
Author (S) Details
José Maria Minguez
Dpto. Física Aplicada II, Universidad de Bilbao, Spain.
View Book :- https://stm.bookpi.org/CTMCS-V11/article/view/3981
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