On Sep 30, 2012, at 5:34 AM, R. Michael Weylandt wrote:
> On Sun, Sep 30, 2012 at 10:51 AM, Salma Wafi wrote:
>> Dear All,
>> Thank you very much for your kind and response.
>>
>> Actually, S(t) = exp(b* F(t)) represent one of survival models, where F(t)
>> is known cumulative distribtion func
On Sun, Sep 30, 2012 at 10:51 AM, Salma Wafi wrote:
> Dear All,
> Thank you very much for your kind and response.
>
> Actually, S(t) = exp(b* F(t)) represent one of survival models, where F(t) is
> known cumulative distribtion function. So, that is why I need to generate the
> survival times T b
Dear All,
Thank you very much for your kind and response.
Actually, S(t) = exp(b* F(t)) represent one of survival models, where F(t) is
known cumulative distribtion function. So, that is why I need to generate the
survival times T based on this model. Then for generating time I have to invert
On Sep 29, 2012, at 10:23 AM, Salma Wafi wrote:
> Hello,
> I am trying to generate random survival times by inverting the function,
> S(t)= exp(b*F(t)),
This looks a bit confused.
S(t) = 1- exp( -integral( h(t)dt )
where h(t) is the instantaneous hazard. That integral is the cumulative hazar
On Sat, Sep 29, 2012 at 6:23 PM, Salma Wafi wrote:
> Hello,
> I am trying to generate random survival times by inverting the function,
> S(t)= exp(b*F(t)), where b is constant and F(t) is some cumulative
> distribution function, let say that F(t) is cdf of normal distribution or any
> others d
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