Thank you,
I'm trying to run the joint probabilty:
C(N,k)*p^k*(1-p)^(N-k)*C(k,m)*q^m*(1-q)^(k-m)
and get the error: Error in C(N, k) : object not interpretable as a factor
so I tried the long way:
gamma(N+1)/(gamma(k+1)*(gamma(N-k)))
and the same with k, and got the error:
1: value out of range in 'gammafn' in: gamma(N + 1)
2: value out of range in 'gammafn' in: gamma(N - k) ....
Do you know why it's not working?
Thanks again,
Sigalit.
On 8/14/07, Moshe Olshansky <[EMAIL PROTECTED]> wrote:
>
> As I understand this,
> P(T+ | D-)=1-P(T+ | D+)=0.05
> is the probability not to detect desease for a person
> at ICU who has the desease. Correct?
>
> What I asked was whether it is possible to mistakenly
> detect the desease for a person who does not have it?
>
> Assuming that this is impossible the formula is below:
>
> If there are N patients, each has a probability p to
> have the desease (p=0.6 in your case) and q is the
> probability to detect the desease for a person who has
> it (q = 0.95 for ICU and q = 0.8 for a regular unit),
> then
>
> P(k have the desease AND m are detected) =
> P(k have the desease)*P(m are detected / k have the
> desease) =
> C(N,k)*p^k*(1-p)^(N-k)*C(k,m)*q^m*(1-q)^(k-m)
> where C(a,b) is the Binomial coefficient "a above b" -
> the number of ways to choose b items out of a (when
> the order does not matter). You of course must assume
> that N >= k >= m >= 0 (otherwise the probability is
> 0).
>
> To generate such pairs (k infected and m detected) you
> can do the following:
>
> k <- rbinom(N,1,p)
> m <- rbinom(k,1,q)
>
> Regards,
>
> Moshe.
>
> --- sigalit mangut-leiba <[EMAIL PROTECTED]> wrote:
>
> > Hi,
> > The probability of false detection is: P(T+ |
> > D-)=1-P(T+ | D+)=0.05.
> > and I want to find the joint probability
> > P(T+,D+)=P(T+|D+)*P(D+)
> > Thank you for your reply,
> > Sigalit.
> >
> >
> > On 8/13/07, Moshe Olshansky <[EMAIL PROTECTED]>
> > wrote:
> > >
> > > Hi Sigalit,
> > >
> > > Do you want to find the probability P(T+ = t AND
> > D+ =
> > > d) for all the combinations of t and d (for ICU
> > and
> > > Reg.)?
> > > Is the probability of false detection (when there
> > is
> > > no disease) always 0?
> > >
> > > Regards,
> > >
> > > Moshe.
> > >
> > > --- sigalit mangut-leiba <[EMAIL PROTECTED]>
> > wrote:
> > >
> > > > hello,
> > > > I asked about this simulation a few days ago,
> > but
> > > > still i can't get what i
> > > > need.
> > > > I have 2 units: icu and regular. from icu I want
> > to
> > > > take 200 observations
> > > > from binomial distribution, when probability for
> > > > disease is: p=0.6.
> > > > from regular I want to take 300 observation with
> > the
> > > > same probability: p=0.6
> > > > .
> > > > the distribution to detect disease when disease
> > > > occurred- *for someone from
> > > > icu* - is: p(T+ | D+)=0.95.
> > > > the distribution to detect disease when disease
> > > > occurred- *for someone from
> > > > reg.unit* - is: p(T+ | D+)=0.8.
> > > > I want to compute the joint distribution for
> > each
> > > > unit: p(T+,D+) for icu,
> > > > and the same for reg.
> > > > I tried:
> > > >
> > > > pdeti <- 0
> > > >
> > > > pdetr <- 0
> > > >
> > > > picu <- pdeti*.6
> > > >
> > > > preg <- pdetr*.6
> > > >
> > > > dept <- c("icu","reg")
> > > >
> > > > icu <- rbinom(200, 1, .6)
> > > >
> > > > reg <- rbinom(300, 1, .6)
> > > >
> > > > for(i in 1:300) {
> > > >
> > > > if(dept=="icu") pdeti==0.95
> > > >
> > > > if (dept=="reg") pdetr== 0.80
> > > >
> > > > }
> > > >
> > > > print(picu)
> > > >
> > > > print(preg)
> > > >
> > > > and got 50 warnings:
> > > >
> > > > the condition has length > 1 and only the first
> > > > element will be used in: if
> > > > (dept == "icu") pdeti == 0.95
> > > > the condition has length > 1 and only the first
> > > > element will be used in: if
> > > > (dept == "reg") pdetr == 0.8
> > > >
> > > > I would appreciate any suggestions,
> > > >
> > > > thank you,
> > > >
> > > > Sigalit.
> > > >
> > > > [[alternative HTML version deleted]]
> > > >
> > > > ______________________________________________
> > > > R-help@stat.math.ethz.ch mailing list
> > > > https://stat.ethz.ch/mailman/listinfo/r-help
> > > > PLEASE do read the posting guide
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> > > > and provide commented, minimal, self-contained,
> > > > reproducible code.
> > > >
> > >
> > >
> >
> > [[alternative HTML version deleted]]
> >
> > ______________________________________________
> > R-help@stat.math.ethz.ch mailing list
> > https://stat.ethz.ch/mailman/listinfo/r-help
> > PLEASE do read the posting guide
> > http://www.R-project.org/posting-guide.html<http://www.r-project.org/posting-guide.html>
> > and provide commented, minimal, self-contained,
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> >
>
>
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