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From |
"Carlo Lazzaro" <carlo.lazzaro@tiscalinet.it> |

To |
<statalist@hsphsun2.harvard.edu> |

Subject |
st: R: Gene-incidence question/simulation |

Date |
Sun, 22 Mar 2009 17:02:55 +0100 |

Dear Moleps, at a very first glance, this seems a job for a bayesian statistician. A hopefully useful refeence might be: Parmigiani G. Modelling in Medical Decision Making. A Bayesian Approach. Chichester: Wiley, 2002. Sorry I cannot be more helpful as far as Stata codes are concerned. Kind Regards, Carlo -----Messaggio originale----- Da: owner-statalist@hsphsun2.harvard.edu [mailto:owner-statalist@hsphsun2.harvard.edu] Per conto di moleps islon Inviato: domenica 22 marzo 2009 15.37 A: statalist@hsphsun2.harvard.edu Oggetto: st: Gene-incidence question/simulation Dear statalisters, I'm studying a tumor A that has a probability (x) of a being linked to a genetic mutation (B) that also predisposes (penetrance approx 65%(y) by 70 years) to condition Z. Now I've got 217 cases of A that resulted in 11 cases of Z over 8534 years of followup years (among the 217 cases). I need to determine the number of patients with B given that there is also a background incidence of 6/100000 for Z.We know that x<<y. Besides running a simulation is there a more analytical way of estimating x and y given my data??? Best wishes, Moleps * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/ * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**Re: st: R: Gene-incidence question/simulation***From:*Neil Shephard <nshephard@gmail.com>

**References**:**st: Gene-incidence question/simulation***From:*moleps islon <moleps2@gmail.com>

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