6,183 reputation
1229
bio website integrativestatistics.com
location Boston, MA
age
visits member for 3 years, 8 months
seen 15 mins ago

10h
answered Survey Method on Personal Isues
2d
comment How useful is Minitab in the real world?
Of the statistician/analyst/programmer-analyst job openings I've seen, I'd guess 10-15% either require or prefer SAS skills. For Minitab, it's <1%. Then there are those that say something like "experience in a statistical program such as SAS, SPSS, or R" and few of these mention Minitab.
Sep
12
comment Data imputation for meta analysis using mice package in R
I agree about adding information - random variables don't qualify.
Sep
11
comment How to select a control / comparison group?
Imagine a world in which it was necessary to rule out the placebo effect on cancer! :D
Sep
11
comment Data imputation for meta analysis using mice package in R
Why not also use for imputation some variables beyond those planned for the model?
Sep
11
comment Single-Imputation on Age Needed?
Terrific answer.
Sep
3
comment What type of analysis
There is no silver bullet of a statistical technique that will allow you to make sound comparisons between two things that, as you've demonstrated, are not comparable.
Aug
31
comment what is the difference between collinearity and interaction?
An answer suitable for beginners is at www.integrativestatistics.com/partial.htm
Aug
25
awarded  Good Question
Aug
23
revised Combining categorical and continuous variables to calculate a factor
added 597 characters in body
Aug
23
revised Combining categorical and continuous variables to calculate a factor
avoid ambiguity.
Aug
23
answered Combining categorical and continuous variables to calculate a factor
Aug
23
comment Seemingly unrelated regressions and difference in coefficients across groups
Hello - could you define/explain 'seemingly unrelated'? Typically differences in coeff. by group would be tested using interaction terms.
Aug
20
comment Call Centre Models
The revisions look helpful and hopefully someone will have more to say to answer you.
Aug
19
comment Use of factor analysis + regression
Not a good one. Any such guide would have to simplify so much that it would use a lot of methodologically suspect shortcuts such as "Tom Swift's Electric Factor Analysis Machine" or the notoriously risky stepwise regression algorithms. I'm afraid you've entered an area that requires long hours of study if you are looking for sound results and/or an understanding of causal relationships. Welcome!
Aug
19
comment Call Centre Models
It would help if you would be clearer about what needs to be predicted. Otherwise some fool will answer, "I don't need methods. I hereby predict calls at a call center" and he/she will be right.
Aug
19
comment High Standard Deviation for Leave one out cross-validation?
The 0.5 doesn't sound wrong, but I don't see why standard deviation is informative in this case. Also, are you sure the "high variance" concern doesn't apply to prediction accuracy as measured by something other than this binary variable?
Aug
17
comment piloting a multinomial logistic regression model
Several points will need clarification. "Multinational" = multinomial? Your output doesn't seem to fit a multinomial model: if it did you would have obtained three lists of coefficients since your dependent variable has 4 levels. Perhaps you could show your code (the commands you used)...If "farmers mark" was continuous, what did it mean and why did you categorize it into groups?
Aug
17
comment How to interpret if my sample statistic is way out in the tail of the bootstrap distribution
Thank you for pointing that out.
Aug
16
comment small sample size, large number of variables (most categorical) - how to proceed?
I upvoted the question as well-considered and well-written. Still, I think ultimately you'll want to have an in-depth conversation with a mentor or consultant rather than rely on Q&A here. That way the person could consider your goals, the audience for your analysis, the level of rigor you want to maintain, the amount of time you have to devote, and your level of expertise with different methods.