Dear Members,
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On 20 Nov 2001, J. Peter Leeds wrote:
The problem actually breaks down to a rather simple analogy:
Imagine that a man has been sentenced by court to run a gauntlet
composed of four club-wielding executioners.
(ill-defined, and thus insoluble, problem omitted)
and Donald
I have complication rates for a given procedure. I was thinking of using
indirect standardization as a method of risk adjustment given that some
doctors see more complex patients. What I can't figure out is how I would
go about calculating a 95% CI after the risk adjustment. Any pointers would
At 08:35 AM 11/21/01 -0600, Scheltema, Karen wrote:
I have complication rates for a given procedure. I was thinking of using
indirect standardization as a method of risk adjustment given that some
doctors see more complex patients. What I can't figure out is how I would
go about calculating a
on this near holiday ... at least in the usa ... i wonder if you might
consider for a moment:
what is the SINGLE most valuable concept/procedure/skill (just one!) ...
that you would think is most important when it comes to passing along to
students studying inferential statistics
what i am
In article [EMAIL PROTECTED],
[EMAIL PROTECTED] (Dennis Roberts) wrote:
#on this near holiday ... at least in the usa ... i wonder if you might
#consider for a moment:
#
#what is the SINGLE most valuable concept/procedure/skill (just one!) ...
#that you would think is most important when it
At 12:49 PM 11/21/01 -0500, Ronny Richardson wrote:
As I understand it, the Central Limit Theorem (CLT) guarantees that the
distribution of sample means is normally distributed regardless of the
distribution of the underlying data as long as the sample size is large
enough and the population
Title: RE: When Can We Really Use CLT Student t
It has been a long time; so if I am wrong, please fan the flames gently.
The derivation of the t distribution is from the ratio of a Normal(0,1) over the square root of a ChiSquare divided by its degrees of freedom.
t = [(x-bar - mu)
On 21 Nov 2001, Ronny Richardson wrote:
As I understand it, the Central Limit Theorem (CLT) guarantees that the
distribution of sample means is normally distributed regardless of the
distribution of the underlying data as long as the sample size is large
enough and the population standard
Ronny Richardson wrote:
As I understand it, the Central Limit Theorem (CLT) guarantees that the
distribution of sample means is normally distributed regardless of the
distribution of the underlying data as long as the sample size is large
enough and the population standard deviation is
Dennis Roberts wrote:
on this near holiday ... at least in the usa ... i wonder if you might
consider for a moment:
what is the SINGLE most valuable concept/procedure/skill (just one!) ...
that you would think is most important when it comes to passing along to
students studying
Ronny Richardson wrote:
As I understand it, the Central Limit Theorem (CLT) guarantees that the
distribution of sample means is normally distributed regardless of the
distribution of the underlying data as long as the sample size is large
enough and the population standard deviation is
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On 21 Nov 2001 10:18:01 -0800, [EMAIL PROTECTED] (Ronny
Richardson) wrote:
As I understand it, the Central Limit Theorem (CLT) guarantees that the
distribution of sample means is normally distributed regardless of the
distribution of the underlying data as long as the sample size is large
On Wed, 21 Nov 2001 10:24:54 -0600, Bill Jefferys
[EMAIL PROTECTED] wrote:
In article [EMAIL PROTECTED],
[EMAIL PROTECTED] (Dennis Roberts) wrote:
#on this near holiday ... at least in the usa ... i wonder if you might
#consider for a moment:
#
#what is the SINGLE most valuable
Happy holiday, Dennis. I have two answers to this question - pick one!
First, the recognition that all of statistics, but particularly
inference, is about providing, and assessing the strength of, evidence -
in circumstances where some measurement(s) can sensibly be defined, and
these
Beth Clarkson [EMAIL PROTECTED] wrote in message
news:[EMAIL PROTECTED]...
I'm looking for some sources on how to compute survival rates and
remaining life determinations. In particular, I'd like to find
information on the Iowa type survivor curves and the retirement rate
method. This is
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