Skip to main content

Questions tagged [regression]

Techniques for analyzing the relationship between one (or more) "dependent" variables and "independent" variables.

3 votes
1 answer
24 views

I am using Ordinal Semiparametric Regression (Frank Harrell's rms package) to model overall survival in patients with brain tumor. My training data is from the SEER database (covering years 2004 to ...
Çağan Kaplan's user avatar
2 votes
1 answer
26 views

I have a system measuring several outputs by sub-sensors and the total input to the sub-sensors is measured from a main sensor. The above chart shows the error between the sum of sub-sensor readings ...
mpcengineer's user avatar
6 votes
2 answers
208 views

I'm performing an IPD meta-analysis, and need to fit my models with study-specific variances (which is why I need to fit with nlme::gls instead of ...
slammaster's user avatar
7 votes
2 answers
275 views

I have fit interaction models of the form: phenotype ~ genotype * environment, based on theory. I am assigning environment (GFR, in this case) as the moderator. I have three scenarios: A: Non-parallel ...
Mubita 's user avatar
  • 191
7 votes
2 answers
261 views

I am working on a multiple regression model examining the effects of several predictors on morphological traits to make interspecific comparisons across many species: Length ~ Height + Average Weight +...
Groundfall's user avatar
0 votes
0 answers
26 views

I am looking to fit experimental data to a line that predicts whether a circular pad will slip. This is done considering the shear force and the moment applied on the pad. I would also like to get a ...
user avatar
6 votes
2 answers
252 views

In a multivariable logistic regression model, some continuous predictors are modeled using spline transformations to allow for nonlinear effects, while other continuous predictors are entered as ...
Konstantinos Gkirgkiris's user avatar
1 vote
0 answers
41 views

I have $n$ data points $(x_i, y_i)$ and I am looking for two coefficients $(a, b)$ such that $$\forall i,\quad y_i \approx a x_i + b.$$ I define the mean square error function $$L(a, b) = \sum_i (y_i -...
Stef's user avatar
  • 499
5 votes
1 answer
132 views

I am seeking guidance on how to properly account for survey weights in a nested (multilevel) regression analysis. Context: I have categorized countries into three groups based on country-level ...
Olestan's user avatar
  • 121
6 votes
1 answer
137 views

I've encountered two different formulae to compute $R^2$ (explained variance, coefficient of multiple correlation, or coefficient of determination). The first, $$R^2 = b_{yx}^T R^{-1}_{xx} b_{yx},$$ I'...
ambiguditi's user avatar
3 votes
1 answer
140 views

In one computational biology paper, the authors was performing a reduced rank regression of the form $$ \vec y= B\vec x+ \vec \epsilon $$ where $\vec y$ is the response variable, $\vec x$ is the ...
Asigan's user avatar
  • 337
3 votes
3 answers
244 views

I’m fitting a regression model with several continuous predictors, and I suspect some of them may have nonlinear effects (yeah, yeah, Box-Tidwell may answer that). Is it reasonable to use AIC to ...
Konstantinos Gkirgkiris's user avatar
1 vote
1 answer
86 views

I have multiple groups. Each group has a response variable and 7 predictors. I fit a separate regression model to each group. I calculate the percent of predictors in each group that have ...
shellshocker's user avatar
1 vote
2 answers
74 views

I have measured the concentration of 76 pesticides (acttive ingredients) at three time points during freeze‑drying (6 h, 24 h, 76 h), with three replicates per time point. For each pesticide, I also ...
hiz's user avatar
  • 91
0 votes
0 answers
51 views

I need to build a statistical model to analyse discounts. For every sale, I know both the net price and the list price. Let the discount be: $$discount := \frac{net \; price}{list \; price}-1$$ For ...
John M's user avatar
  • 2,201

15 30 50 per page
1
2 3 4 5
2054