rosser

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Psychiatrist, Trickcyclist, Marathoner

	811 reputation	bio	website		visits	member for	1 year, 7 months
412 badges		location	Dublin, Ireland		seen	Mar 5 at 2:13

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Jan 9	asked	How do I report error from imbalanced data in a random forest algorithm?
Jan 9	comment	How do I derive principal components taking account of repeated measures? Sorry - away due to illness - yes you are correct in your assumptions. Thanks for any help.
Dec 15	asked	How do I derive principal components taking account of repeated measures?
Dec 4	comment	Why the infrequent use of machine learning techniques in translational biomedicine? Yeah, I think I got that. However, from my point of view statistical methods are neither pure nor dirty, just the application of logic to data. If you want a pill to cure something, then you need to understand the interrelationships and take that to the molecular biology lab. However, If you just want to make a prediction using black box (NN/RF) or decision (CART) methods, what's the problem? You might even gain insight. Is it any deeper than snobbery?
Dec 4	comment	Building background for machine learning for CS student Also, for an exceedingly gentle "ramp" see the current video lectures on machine learning by Andrew Ng at Stanford. They provide a fairly sound introduction to Hastie or Bishop. ml-class.org/course/class/index
Dec 4	comment	Neural network model to predict treatment outcome Reposted the followup question as I had it written here with minor tweaks.
Dec 4	asked	Why the infrequent use of machine learning techniques in translational biomedicine?
Dec 4	revised	Neural network model to predict treatment outcome deleted 1210 characters in body; edited title
Dec 4	accepted	How to make a randomForest algorithm cost-sensitive?
Dec 4	accepted	Neural network model to predict treatment outcome
Dec 4	revised	Neural network model to predict treatment outcome Edited to update question
Nov 25	comment	How to make a randomForest algorithm cost-sensitive? biomedcentral.com/content/pdf/1471-2105-10-S1-S22.pdf Using random forest for reliable classification and cost-sensitive learning for medical diagnosis
Nov 25	comment	How to make a randomForest algorithm cost-sensitive? Looks like the bst package in R will accept weights for false positive and false negatives. I'm going to leave the question open though, It might be useful to others.
Nov 25	revised	How to make a randomForest algorithm cost-sensitive? deleted 353 characters in body; edited title
Nov 25	asked	How to make a randomForest algorithm cost-sensitive?
Nov 20	asked	Neural network model to predict treatment outcome
Nov 11	accepted	How do I analyse data with a ceiling effect?
Nov 10	comment	How do I analyse data with a ceiling effect? censReg package with plm.data looks promising
Nov 10	comment	How do I analyse data with a ceiling effect? I wonder is there a way to combine these ... there doesn't seem to be an established way to do a repeated measures Tobit model in the package VGAM. That would seem to be the most elegant solution. Previously, the (awful) literature has used raw change scores across 2 timepoints, with presumably significant insensitivity due to regression to the mean.
Nov 10	comment	How do I analyse data with a ceiling effect? However, at baseline there's quite a spread below 30, so it is detecting "disability", however, when people return to "normal" functioning after treatment, they all arrive at 28-30 or thereabouts.