An Introduction to Epidemiology by Michael Alderson (auth.)

By Michael Alderson (auth.)

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1978). , 1980). Examination of the case fatality-rate for patients treated in hospital for a given condition, such as appendicitis, is a different example. Some hospitals, by virtue of their catchment area, may receive and treat a far higher proportion of emergency admissions; it is reasonable to expect that the cases treated as emergency ones have a higher case fatality-rate. Thus, one could either look at the case fatality-rate solely for the emergency cases in two different hospitals, or one could correct the overall mortality for the proportion of emergency and of routine cases that are treated.

Thus, with an average figure of twenty-five deaths the estimate of the standard error is five and twice the standard error is ten. One would expect, therefore, the number of deaths over a twenty-year period to fluctuate between the limits of fifteen and thirty-five with only two values beyond these. This gives a rough rule-of-thumb test that helps in interpreting some of the differences that occur from year to year. 1 sets out the method of calculation. Table 2. /25 = 15 to 35 When comparing the deaths in different populations one would not normally be looking at the number of deaths but at the death-rates, and similarly one can calculate a standard error of a death-rate.

This gives a rough rule-of-thumb test that helps in interpreting some of the differences that occur from year to year. 1 sets out the method of calculation. Table 2. /25 = 15 to 35 When comparing the deaths in different populations one would not normally be looking at the number of deaths but at the death-rates, and similarly one can calculate a standard error of a death-rate. This standard error is the death-rate divided by the square root of the number of deaths. Usually some indication of the range of chance difference between two local death-rates is required.

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