Quantitative professional with expertise in econometrics, statistics, risk management. For past few years have been engaged in developing and testing econometrics models related to bank's stress testing.

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revised Is fecal occult blood test (EZ Detect) effective if urine is in the toilet bowl?
Incorporated findings regarding protocol of the test obtained from Biomerica the distributor of the test.
Feb
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answered Is fecal occult blood test (EZ Detect) effective if urine is in the toilet bowl?
Feb
1
revised Is fecal occult blood test (EZ Detect) effective if urine is in the toilet bowl?
deleted 152 characters in body
Jan
31
comment Is fecal occult blood test (EZ Detect) effective if urine is in the toilet bowl?
No, it did not.
Jan
31
asked Is fecal occult blood test (EZ Detect) effective if urine is in the toilet bowl?
Jan
26
comment Does the Granger Causality test in the "vars" package make sense?
Regis, thanks that's a pretty good answer. I am not entirely comfortable with the Granger causality framework as depicted. It would seem way too noisy. I actually really like your suggestion of using granger test () within the lmtest package. That most probably implements Granger causality in a well established fashion.
Jan
26
accepted Does the Granger Causality test in the "vars" package make sense?
Jan
2
comment What are side effects frequencies based on?
Thanks for the clarification and your generosity:). Given all that you may also select me for best answer. That's a small extra step, and it is an informational signal to the relevant audience.
Jan
1
comment What are side effects frequencies based on?
Thanks for your consideration, at other Stack Exchange site the bounty, I think, is automatically awarded to the one answer that has the most points.
Dec
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comment Outliers with robust regression in R
I take issue with Roland. Robust Regression is designed to identify outliers in a more precise way as OLS. Within OLS some outliers can be masked because of their influence on the regression coefficients (they tilt the regression trendline in their direction. So, the outliers are already mutted somewhat). Robust Regression by underweighting the outliers cause them to have a lesser impact on the regression trend line. And, thus be further away from it. So, they show up more distinctly than in OLS.
Dec
29
comment What are side effects frequencies based on?
@drFayyaz. Don't take this personally. This forum somehow is far more officious than any other one you will participate in within Stack Exchange. I personally feel like they push the "reference" policy way too far; and end up discouraging people from exchanging valuable information. On the other hand, it is hard to argue that health answers that are readily interpreted as health advice (whether they should or not) are inherently a lot more dangerous in terms of their implications than other answers. So, the "reference" bit is not a bad safeguard after all.
Dec
29
answered Using EViews, running a Robust Least Square Regression, I can't do an MM-estimation?
Dec
29
revised Using EViews, running a Robust Least Square Regression, I can't do an MM-estimation?
deleted 136 characters in body
Dec
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revised Using EViews, running a Robust Least Square Regression, I can't do an MM-estimation?
added 1477 characters in body; edited tags
Dec
28
awarded Editor
Dec
28
revised Using EViews, running a Robust Least Square Regression, I can't do an MM-estimation?
Added feedback regarding this question I uncovered at the EViews forum where someone experienced the exact same problem.
Dec
28
asked Using EViews, running a Robust Least Square Regression, I can't do an MM-estimation?
Dec
27
awarded Teacher
Dec
27
answered Is writing a R package equivalent to a journal paper or PhD thesis chapter?
Dec
27
awarded Autobiographer
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