Re: [R] FDR analyses: minimum number of features

2005-09-23 Thread Dupont, William
Thanks. That is an excellent idea. Bill -Original Message- From: Spencer Graves [mailto:[EMAIL PROTECTED] Sent: Thursday, September 22, 2005 9:01 PM To: Dupont, William Cc: Kjetil Brinchmann Halvorsen; r-help@stat.math.ethz.ch Subject: Re: [R] FDR analyses: minimum number of features

Re: [R] FDR analyses: minimum number of features

2005-09-22 Thread Kjetil Brinchmann Halvorsen
Spencer Graves wrote: Two thoughts on this: 1. Your FDR (Not Franklin Delano Roosevelt) sounds like another name for Type I error rate. It is certainly not the same as type I error rate. Type I error rate is the proportion of true nulls which are rejected, while the FDR is

Re: [R] FDR analyses: minimum number of features

2005-09-22 Thread Dupont, William
: Dupont, William; r-help@stat.math.ethz.ch Subject: Re: [R] FDR analyses: minimum number of features Spencer Graves wrote: Two thoughts on this: 1. Your FDR (Not Franklin Delano Roosevelt) sounds like another name for Type I error rate. It is certainly not the same as type I

Re: [R] FDR analyses: minimum number of features

2005-09-22 Thread Spencer Graves
: Dupont, William; r-help@stat.math.ethz.ch Subject: Re: [R] FDR analyses: minimum number of features Spencer Graves wrote: Two thoughts on this: 1. Your FDR (Not Franklin Delano Roosevelt) sounds like another name for Type I error rate. It is certainly

Re: [R] FDR analyses: minimum number of features

2005-09-21 Thread Spencer Graves
Two thoughts on this: 1. Your FDR (Not Franklin Delano Roosevelt) sounds like another name for Type I error rate. The definition of reasonably reliable FDRs would seem to relate to the status of the literature on this issue among researchers in genotyping. As more

[R] FDR analyses: minimum number of features

2005-09-19 Thread Dupont, William
Dear List, We are planning a genotyping study to be analyzed using false discovery rates (FDRs) (See Storey and Tibshirani PNAS 2003; 100:9440-5). I am interested in learning if there is any consensus as to how many features (ie. how many P values) need to be studied before reasonably reliable