search for: biomet

Hello, I was searching online to find more info about Biometics and I came across your information. Can you tell me, are you still involved with Biometics? If you are, how are things going for you? Please let me know. Sincerely, Will Hammack

http://biomet.oxfordjournals.org/cgi/reprint/86/3/677 biometrika1999 http://biomet.oxfordjournals.org/cgi/reprint/94/4/1006 biometrika2000 Hi All: I just want to try some luck. I am currenly working on my project,one part of my project is to reanalysis the kenward cattle data by using the method in Mohse...

R Users, The d/p/q/r functions for the bridge distribution are now available in bridgedist. When a random intercept follows the bridge distribution, as detailed in Wang and Louis (2003) <doi:10.1093/biomet/90.4.765 <http://dx.doi.org/10.1093/biomet/90.4.765>>, a marginalized random-intercept logistic regression will still be a logistic regression with marginal coefficients that are scalar multiples of the conditional regression's coefficients. Another way to state the result is that the...

...illustrate the benefits of using it for sparse data. I am happy to give more details if needed. David Fletcher Department of Mathematics and Statistics University of Otago Dunedin New Zealand D.J. Fletcher (2012) Estimating overdispersion when fitting a generalized linear model to sparse data. Biometrika 99:230?237 (http://biomet.oxfordjournals.org/content/99/1/230.abstract?etoc)

...ng a new method to `p.adjust` ("Adjust P-values for Multiple Comparisons", https://stat.ethz.ch/R-manual/R-devel/library/stats/html/p.adjust.html). This new method is published in Benjamini, Krieger, Yekutieli 2016 Adaptive linear step-up procedures that control the false discovery rate (Biometrika). https://doi.org/10.1093/biomet/93.3.491 This paper described multiple methods for adjusting p-values, where the "TST" method (Definition 6) performed the best when test statistics are positively correlated, per my interpretation. This method can be labeled as "BKY", for t...

...there a way to know if the process is going to produce something useful after all this time or if it's hanging on some kind of problem? [1]: https://stats.stackexchange.com/questions/11109/how-to-deal-with-perfect-separation-in-logistic-regression#68917 [2]: https://academic.oup.com/biomet/article-abstract/80/1/27/228364/Bias-reduction-of-maximum-likelihood-estimates -- Men occasionally stumble over the truth, but most of them pick themselves up and hurry off as if nothing had happened. -- Winston Churchill

...l after all this time or if it's hanging on some kind >> of problem? >> >> >> [1]: >> https://stats.stackexchange.com/questions/11109/how-to-deal-with-perfect-separation-in-logistic-regression#68917 >> >> [2]: >> https://academic.oup.com/biomet/article-abstract/80/1/27/228364/Bias-reduction-of-maximum-likelihood-estimates >> >> >> > -- Men occasionally stumble over the truth, but most of them pick themselves up and hurry off as if nothing had happened. -- Winston Churchill

...ng to produce something useful after all > this time or if it's hanging on some kind of problem? > > > [1]: > https://stats.stackexchange.com/questions/11109/how-to-deal-with-perfect-separation-in-logistic-regression#68917 > > [2]: > https://academic.oup.com/biomet/article-abstract/80/1/27/228364/Bias-reduction-of-maximum-likelihood-estimates > > >

...produce something useful after all this time or if it's hanging on some kind of problem? >>> >>> >>> [1]: https://stats.stackexchange.com/questions/11109/how-to-deal-with-perfect-separation-in-logistic-regression#68917 >>> [2]: https://academic.oup.com/biomet/article-abstract/80/1/27/228364/Bias-reduction-of-maximum-likelihood-estimates >>> >>> >>

...ng useful after all this time or if it's hanging on some kind of problem? >>>> >>>> >>>> [1]:https://stats.stackexchange.com/questions/11109/how-to-deal-with-perfect-separation-in-logistic-regression#68917 >>>> [2]:https://academic.oup.com/biomet/article-abstract/80/1/27/228364/Bias-reduction-of-maximum-likelihood-estimates >>>> >>>> -- Men occasionally stumble over the truth, but most of them pick themselves up and hurry off as if nothing had happened. -- Winston Churchill

...most a couple of lines of code. The reference below gives details regarding its asymptotic properties, as well as simulation results that illustrate the benefits of using it for sparse data. D.J. Fletcher (2012) Estimating overdispersion when fitting a generalized linear model to sparse data. Biometrika 99:230?237 (http://biomet.oxfordjournals.org/content/99/1/230.abstract?etoc)

If you mean this paper by Fahrmeir: http://biomet.oxfordjournals.org/cgi/content/abstract/81/2/317 I would recommend BayesX: http://www.stat.uni-muenchen.de/~bayesx/. BayesX interfaces with R and estimates discrete (and continuous) time survival data with penalized regression methods. If you are looking for a bona fide Bayesian survival analysis...

Good morning I am learning about NLME and LME4, using Pinheiro and Bates and other materials from Douglas Bates, but I have not seen anything on how to do variable selection sensibly in this type of model. In OLS regression, I frequently use the lasso, but googling did not reveal a method for lasso with mixed models. Most of the material I've seen on these packages is about models with very