Semiparametric Regression in Testicular Germ Cell Data

Details Semiparametric Regression in Testicular Germ Cell Data Semiparametric Regression in Testicular Germ Cell Data

2010-05-30

arxiv.org/abs/1005.5494v1

Statistics

Methodology

24 pages

Scientific paper

It is possible to approach regression analysis with random covariates from a semiparametric perspective where information is combined from multiple multivariate sources. The approach assumes a semiparametric density ratio model where multivariate distributions are "regressed" on a reference distribution. Each multivariate distribution and a corresponding conditional expectation-regression-of interest is then estimated from the combined data from all sources. Graphical and quantitative diagnostic tools are suggested to assess model validity. The method is applied in quantifying the effect of age on weight of germ cell testicular cancer patients. Comparisons are made with both multiple regression and nonparametric kernel regression.

Affiliated with

Also associated with

No associations

Rating

Semiparametric Regression in Testicular Germ Cell Data does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Semiparametric Regression in Testicular Germ Cell Data, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Semiparametric Regression in Testicular Germ Cell Data will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-161268