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About David J. David J. H David J.
He has published scientific papers and 25 books: his next book, The Improbability Principle, is due out in February He has broad research interests in areas including classification, data mining, anomaly detection, and the foundations of statistics. His applications interests include psychology, physics, and the retail credit industry - he and his research group won the Credit Collections and Risk Award for Contributions to the Credit Industry.
I thought it would be instructive to do the calculation from first principles. The effect of 1 mg of methadone may not be of interest because doses vary by several mg. In fact the standard deviation is What's the effect on the hazard of increasing the dose by one standard deviation?
A Social Work Research Guide
The coefficient indicates that the hazard is 3. The value is small enough that it can be interpreted directly as a percent.
A dose increase of one standard deviation or Compare this specification with the linear term in part b in terms of parsimony and goodness of fit. The model treating dose as a discrete factor has a slightly higher log-likelihood but according to Akaike, the improvement in fit is not worth the loss of parsimony incurred by adding two parameters. I will do the calculation from first principles. Because the effect of clinic 1 is not proportional we need to add it separately for each year:.
A prison record affects the hazard at every duration proportionally, so the calculation is simple. There are fairly substantial survival differences among these groups.
A handbook of small data sets
With an average dose of methadone and no prison record, we estimate that more than half the addicts in clinic 2 would still be under treatment after three years, compared to just about one percent of those in clinic 1, a figure that is further reduced to less than one-fifth of one percent for addicts in clinic 1 and with a prison record. Software Stata R Markstat. How to Use Statistics.
Steve Lakin. How to Lie with Statistics.
Darrell Huff. Medical Statistics from Scratch.
David Bowers. New Cambridge Statistical Tables. Dennis V. Principles of Statistics.
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