From: Milano, Michael [Michael_Milano@URMC.Rochester.edu] Sent: Wednesday, January 12, 2011 4:50 PM To: Wei Hou Subject: RE: abstract submitted to ENAR conference Wei I have not updated to database in a long while. The PFS columns indicate progression free survival: Column BU- DF/LF indicates if patient had DF or LF (distant or local failure) Column BY and BZ - time to progression or last f/u in months or days Column CA: DFLFX - indicates if patient had DF or LF. In this column (vs BU) if patient had a LF that was salvaged with surgery or radiation, it is not scored as failure (i.e. ultimate LF) and i if patient had a DF that was salvaged with surgery or radiation, it is not scored as failure (i.e. ultimate DF). Patients who underwent salvage therapy but then failed were scored at the time of failure after salvage Column CC and CD - time to 'ultimate' progression (i.e. accounting for salvage) or last f/u in months or days Hope this helps Mike -----Original Message----- From: Wei Hou [mailto:whou@biostat.ufl.edu] Sent: Wednesday, January 12, 2011 4:42 PM To: Milano, Michael Subject: RE: abstract submitted to ENAR conference Michael, Happy new year! I am working on the abstract and stat method for the data. Here attached is the data file I have. I am writing this email to check with you: 1. Is there any update for new data? 2. Is there any information about disease status (such as relapse or not ...) for the last follow up of each patient? If so, which column? Thank you very much, Wei -----Original Message----- From: Milano, Michael [mailto:Michael_Milano@URMC.Rochester.edu] Sent: Tuesday, November 16, 2010 11:18 AM To: Wei Hou Subject: RE: abstract submitted to ENAR conference They were mixed patients with various types of cancer with 1-5 radiographically apparent metastases Mike -----Original Message----- From: Wei Hou [mailto:whou@biostat.ufl.edu] Sent: Tuesday, November 16, 2010 10:53 AM To: Milano, Michael Subject: RE: abstract submitted to ENAR conference Milano, What is the name of the cancer? I just have the data file from Myron. Thanks a lot, Wei -----Original Message----- From: Milano, Michael [mailto:Michael_Milano@URMC.Rochester.edu] Sent: Monday, November 15, 2010 4:49 PM To: Keith E. Muller; Wei Hou Cc: Keith E. Muller; pokunieff@ufl.edu; Myron N. Chang Subject: RE: abstract submitted to ENAR conference Thank you for including me. I am happy to accept. I don't have any edits. Mike -----Original Message----- From: Keith Muller [mailto:kem@biostat.ufl.edu] Sent: Monday, November 15, 2010 4:46 PM To: Wei Hou Cc: Keith E. Muller; pokunieff@ufl.edu; Milano, Michael; Myron N. Chang Subject: Re: abstract submitted to ENAR conference 1) I just spoke to Wei, and he indicated that a) he simply failed to make it clear hes email was an invitation to particpate (which I gladly accept) and b) the deadline is midnight tonight, so you have a short time to accept or excuse yourself. 3) I have attached a revised version of the text. The ENAR/Biometric Society will allow us to edit the abstract text (and authorship) for a few weeks, before locking it down. This is not peer reviewed. Wei--what about a poster by preference? Keith On 11/15/2010 4:02 PM, Wei Hou wrote: > Dear Colleagues, > > > We are submitting an abstract to the International Biometric Society > conference to be held in Miami in March 2011. Your comments and > suggestions are highly appreciated. > > Thanks, > > Wei and Myron > > ------------------------------------- > > Modeling Cure Rates Using the Survival Distribution of the General > Population > > Hou W, Muller K, Milano M, Okunieff P and Chang M > > In clinical trials, it is often observed that a certain percentage of > subjects are cured following treatment. Most of the models for cure > rate are parametric and of a mixture type. It is usually assumed that > the population is divided into two subpopulations so that a subject is > either cured with probability p or is not cured with probability (1-p). > Farewell (1982) proposed that the probability p is a logistic function > of some prognostic factors and treatment arms and the survival of > non-cured subjects follow a Weibull distribution. In the mixture > model, it is usually assumed that cured subjects will never die. We > believe that this kind of definition of being cured is unrealistic. In > the proposed research, we redefine a cured subject by a subject who > completely gets rid of the disease and therefore, its survival follows > the survival function of the general population. Our simulation > studies show that the proposed method reduces the bias of the > estimated cure rate. > -- Keith E. Muller, Ph.D. Professor, Health Outcomes and Policy (COM) Head, Statistics & Data Core, Assoc. Dir. SE Ctr for Research to Reduce Disparities in Oral Health 1329 SW 16th Street Room 5125, PO Box 100177 Gainesville, FL 32610-0177 Tel: 352-265-0111 ext. 86331 fax 352-265-8047 website http://www.health-outcomes-policy.ufl.edu/muller/ email: Keith.Muller@biostat.ufl.edu Assistant Cherrie Bell tel 352-265-0111 ext. 86331 email:cmbell@ichp.ufl.edu