Vaccine safety

Probability Level pending

Fact

A certain medical condition X X is very rare, such that within a group of N N people the expected number of people that gets condition X X within a period of 14 days is exactly one. N N is a very large number.

Null hypothesis

A certain vaccine is widely used. The null hypothesis H 0 H_0 is as follows:

H 0 H_0 : The vaccine has no actual influence on the incidence of condition X.

Observations

A group of N N people are vaccinated and followed for the next 14 days. In 7 out of these N N people, condition X is observed to occur.

Question

If H 0 H_0 is true, what is the probability P ( c 7 ) P_{(c\ge 7)} to observe 7 or more cases of condition X within 14 days after vaccination?

For the limiting case where N N \rightarrow \infty submit 1 0 8 P ( c 7 ) \lfloor10^8 P_{(c\ge 7)} \rfloor as the answer.

Details and assumptions

  • Assume that the groups under Facts and Observations are drawn from the same population.
  • Assume that after 14 days there can be no influence of the vaccine on the occurrence of condition X

Further questions

  • Should the null hypothesis be rejected or not?
  • If N is very large, what can be said about to the risk to contract the condition due to vaccination?


The answer is 8324.

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1 solution

K T
Mar 21, 2021

In a period of 14 days the probability for any random individual to get condition X is 1 N \frac{1}{N} so the probability to get exactly k cases is P ( c = k ) = ( 1 1 N ) N k ( 1 N ) k ( N k ) P_{(c=k)}=(1-\frac{1}{N})^{N-k}\cdot(\frac{1}{N})^k\cdot {N \choose k}

Since lim N ( 1 1 N ) N = 1 / e \lim_{N \rightarrow \infty} (1-\frac{1}{N})^N=1/e , for very large N N and k < < N k << N , ( N k ) = N ! ( N k ) ! k ! N k k ! {N \choose k}=\frac{N!}{(N-k)!k!}\approx \frac{N^{k}}{k!} , this can be well approached by P ( c = k ) 1 e k ! P_{(c=k)}\approx \frac{1}{ek!} So that when N N \rightarrow \infty : P ( c 6 ) = 1 e ( 1 0 ! + 1 1 ! + 1 2 ! + 1 3 ! + 1 4 ! + 1 5 ! + 1 6 ! ) = 1957 720 e = 0.999916758... P_{(c \le 6)} = \frac{1}{e}(\frac{1}{0!}+\frac{1}{1!}+\frac{1}{2!}+\frac{1}{3!}+\frac{1}{4!}+\frac{1}{5!}+\frac{1}{6!})=\frac{1957}{720 \cdot e}=0.999916758... Hence P ( c 7 ) = 1 P ( c 6 ) = 0.000083241.... P_{(c \ge 7)} = 1- P_{(c \le 6)} = 0.000083241.... And 1 0 8 P ( c 7 ) = 8324 \lfloor 10^8 P_{(c \ge 7)}\rfloor =8324

Some values for finite N N : For N = 1000 , P ( c 7 ) = 8.197 × 1 0 5 N=1000, P_{(c \ge 7)}=8.197×10^{-5} , for N = 10000 , P ( c 7 ) = 8.311 × 1 0 5 N=10000, P_{(c \ge 7)}=8.311×10^{-5} , for N = 100000 , P ( c 7 ) = 8.323 × 1 0 5 N=100000, P_{(c \ge 7)}=8.323×10^{-5} and for N = 1000000 , P ( c 7 ) = 8.324 × 1 0 5 N=1000000, P_{(c \ge 7)}=8.324×10^{-5} .

The probability is very, very low that the null hypothesis is true, and it can be rejected. This implies that there is an effect of the vaccine on the possibility of developing condition X. This does not mean that the vaccine is not safe. For the average person, the risk of developing condition X after vaccination is about the same as the risk to develop it spontaneously during any period of about 100 days. If the vaccine protects against a real health risk, the benefit is much, much more important than the drawback.

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