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I am a biostatistician at the Lankenau Institute for Medical Research where I work on lab experiments, clinical trials and other medical research. I have a PhD in Statistics from Stanford University. I have published books on bootstrap and biostatistics and have written or coauthored many articles in statistics, mathematics and medical journals. I am an ASA Fellow and am also a member of ENAR, the IMS, the Bernoulli Society and the Royal Statistical Society. I like teaching and mentoring and playing chess with my son (who usually beats me).


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Oct
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reviewed Approve suggested edit on Famous statistician quotes
Oct
12
comment Selecting the best indicator of disease progression
Nothing works perfectly.
Oct
11
comment Periods in history of statistics
MCMC started the Bayesian revolution of the 1990s with the rediscovery the Metropolis-Hastings algorithm/Gibbs Sampling.
Oct
11
comment Periods in history of statistics
There are a number of books on the history of statistics and some probably divide it in the way you would like. Aside from what has already been recommended consider Stephen Stigler's book and the book by Hald. The Kotz and Johnson three volume series on breakthroughs in statistics may also help point to significant papers that mark the beginning of a new point. You may find that periods should be shorter now because of the advances in computing. The 1980s introduced the idea of computer-intensive methods after Efron's 1979 paper.
Oct
11
revised Effect of sample size in t test?
added 8 characters in body
Oct
11
answered Effect of sample size in t test?
Oct
11
comment Had statisticians predicted 2008 financial crisis?
Many statisticians think that even with limited test data the risk of O-ring failure at low temperature could be determined to be too high to risk on a cold weather launch of Challenger. This is an issue of sharing good information and weighing the risk benifits and not one where copulas are going to somehow be the magic answer.
Oct
11
comment Had statisticians predicted 2008 financial crisis?
Some things are very hard to predict. This is one of the events that Taleb called "Black Swans" that made his first book that claimed statisticians can't predict financial events a New York Times best seller. Ability to predict is based on adequacy of the model and available information. At the time of 9/11/2001 there was intelligence information that al Qaeda was planning a major attack on the US in that time frame. The same terrorists had bombed the World Trade Center previously. Getting the intelligence information to the analysts and then the decisionmakers is what matters.
Oct
11
comment Is it true that any continuous probability distribution gives probability zero to any single element in the sample space?
These questions keep coming up. I think this question has been asked before on CV or on both CV and Mathematics.
Oct
11
comment What is $s_x$ in Pearson correlation?
Sorry @BlainWaan s$_x$$_y$ as the OP found it is a sample estimate for the covariance. The other two formulae that address the OPs question are correct.
Oct
11
comment Selecting the best indicator of disease progression
I think you and probably Peter Ellis are trying to find a neat statistical solution to a problem that in reality would be more complex and require a series of studies on cell, animals and humans with statistical analysis at each stage.