Re: st: Re: Is there a better way of allocating individuals into different categories based on the probability of an event?

[Gwinyai Masukume <parturitions@gmail.com>]

Dear Joseph,

Thank you.
Much more efficient.

Kind regards,
Gwinyai

On 3/23/13, Joseph Coveney <stajc2@gmail.com> wrote:
> Gwinyai Masukume wrote:
>
> Is there a better way of executing the code below which assigns
> individuals into the Non-smoker and Smoker categories based on the
> probability of smoking in pregnancy?
>
> ****0=Non-smoker, 1=Smoker***
> **** Assuming 84% of women do not smoke during pregnancy
> **** Johnston V, Thomas DP, McDonnell J, Andrews RM. Maternal smoking
> and smoking in the household during pregnancy and postpartum: findings
> from an Indigenous cohort in the Northern Territory. Med J Aust. 2011
> May 16;194(10):556-9.
> gen smoker1=int(1+(50000-1)*runiform())
> gen smoker=0 if smoker1 < 42000
> replace smoker=1 if smoker1 >= 42000
> label define smoker_label 0"Non-smoker" 1"Smoker"
> label values smoker smoker_label
> label variable smoker "Smoking status"
> drop smoker1
>
> --------------------------------------------------------------------------------
>
> How about the following?
>
>     generate byte smoker = runiform() > 0.84
>
> Or if you're maintaining left-to-right smaller-to-larger order of
> comparisons:*
>
>     generate byte smoker = 0.84 < runiform()
>
> Joseph Coveney
>
> P.S. Be sure to set the seed in order to assure reproducibility.
>
> *Recommended, as I recall, by Steve McConnell in his _Code Complete: A
> Practical
> Handbook of Software Construction_ Second Edition.  (Redmond, Wash.:
> Microsoft,
> 2004).
>
> *
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