network profile
| bio | website | |
|---|---|---|
| location | ||
| age | ||
| visits | member for | 11 months |
| seen | Oct 18 '12 at 13:17 | |
| stats | profile views | 95 |
|
Oct 18 |
accepted | Is it possible to have a variable that acts as both an effect modifier and a confounder? |
|
Oct 5 |
awarded | Nice Question |
|
Sep 30 |
comment |
Possible projects for Data Analysis course? My two cents: as it stands this question is way too open for a reasonably definitive answer. Second, unlike certain other subjective, non-definitive questions, I doubt this qualifies for community wiki. |
|
Sep 30 |
revised |
Is it possible to have a variable that acts as both an effect modifier and a confounder? added 46 characters in body |
|
Sep 30 |
asked | Is it possible to have a variable that acts as both an effect modifier and a confounder? |
|
Sep 10 |
suggested | suggested edit on How do I test a nonlinear association? |
|
Sep 10 |
comment |
How do I test a nonlinear association? @Macro and Michael to me fitting a model of the relation between $x$ and $y$ in a semi/non-parametric way is one way of testing the association between the two. Such a test could be extended by measuring the extent of association with the different ways you've each suggested. I think both answers and the follow-up here have been quite useful to me, sans the ad hominem. However, since my question did include how we could "label its nature", which could be interpreted as model-fitting, I'm going to stick with Macro's answer. |
|
Sep 9 |
accepted | Test whether (x,y) of one set of data points is significantly greater than the (x,y) of another set of data points |
|
Sep 9 |
awarded | Commentator |
|
Sep 9 |
comment |
Test whether (x,y) of one set of data points is significantly greater than the (x,y) of another set of data points Is there some way of implementing a 2D KS test (any variation) in R? Package? |
|
Sep 9 |
accepted | How do I test a nonlinear association? |
|
Sep 9 |
comment |
How do I test a nonlinear association? I prefer this approach to the two separate rank correlations either side of $x=a$ because it examines the relation as whole. It's also better than the parametric model, so I've accepted this instead. |
|
Sep 8 |
awarded | Supporter |
|
Sep 8 |
comment |
How do I test a nonlinear association? Essentially, I'd be splitting the x~y relation into two parts. Below x=a, the correlation by Spearman's rho is positive. Above x=a, the correlation by Spearman's rho is negative. I like this approach. However, is there also some way of parametrically testing whether the relationship between x and y fits an inverse parabola, i.e. $y = ax^2 + bx + c$, where $a$ is negative. Perhaps, this requires a custom statistical test? |
|
Sep 8 |
comment |
Test whether (x,y) of one set of data points is significantly greater than the (x,y) of another set of data points @MichaelChernick this question is independent of my previous post although that doesn't discount the possibility of overlap in answers. |
|
Sep 8 |
revised |
Test whether (x,y) of one set of data points is significantly greater than the (x,y) of another set of data points added 308 characters in body |
|
Sep 8 |
comment |
Test whether (x,y) of one set of data points is significantly greater than the (x,y) of another set of data points @MichaelChernick that's correct. I want to compare two curves based on two-dimensional points. However, I've rephrased my question to reflect the fact that basically I want to know whether the distribution of the (x,y) coordinates of the blue points is significantly different from the distribution of the (x,y) coordinates of the red points. I'd also want to know the directionality of this difference. |
|
Sep 7 |
asked | Test whether (x,y) of one set of data points is significantly greater than the (x,y) of another set of data points |
|
Sep 7 |
asked | How do I test a nonlinear association? |
|
Jul 12 |
accepted | Whether to stratify or do a simple random sampling from a set of papers to be compared? |
