Regression Analysis

Linear regression, linear models, nonlinear regression
F
Calculate multiple regression with canonical correlation analysis
Replies
0
Views
138
Fizz
P
Questions regarding cox regression
Replies
2
Views
198
perhexilline
B
Testing variables for confounding
Replies
4
Views
215
hlsmith
G
distance from expected in terms of standard deviations
Replies
0
Views
151
GQElvie
S
Is it necessary to check for multicollinearity of explanatory variables in logistic regression?
Replies
8
Views
425
Zaylo
L
Results interpretation 3 or more dummy variable
Replies
5
Views
232
noetsi
L
Gaussian process and Gaussian regression
Replies
1
Views
177
noetsi
spunky
Heterodastic thread on heteroskedasticity
Replies
6
Views
308
spunky
P
Multinomial Logistic Regression
Replies
3
Views
228
obh
H
Comparing the performance of various Cox models on a given data set
Replies
0
Views
89
HueyFreeman
T
Adequate subsample size to represent sample regression
Replies
0
Views
152
toasapre
D
Odds ratio
Replies
1
Views
163
Dason
S
Excel 95 % confidence interval
Replies
2
Views
325
Dason
I
Comparing change with quadratic term in regression.
Replies
0
Views
179
IzaacAU
J
Converting linear regression estimates to percentages?
Replies
3
Views
139
obh
B
Difference between Mann-Kendall and Pearsons Correlation to obtain p-value
Replies
1
Views
162
luchins
W
Multinomial Logistic Regression
Replies
0
Views
176
wawii
W
Linear regression in genetics, interactions
Replies
0
Views
181
weter700
O
Multinomial Logistic Regression - when to exclude predictor
Replies
5
Views
291
obh
J
Understanding the significance of my logistic regression model
Replies
3
Views
281
ondansetron
W
Asking simple linear regression testing
Replies
1
Views
195
obh
A
Logistic regression
Replies
4
Views
434
obh
D
WLS Confidence interval
Replies
4
Views
3,303
JohnTaccos
L
What is the difference between R-squared and Pearson correlation coefficient?
Replies
1
Views
188
GretaGarbo
Y
F test not significant but coefficients are
Replies
15
Views
553
obh
B
Simple regression between 2 variables using an average
Replies
0
Views
107
batman1
C
Using change scores in the independent variable in quadratic regression
Replies
0
Views
152
Catherine
G
spatial regression with (partly) overlapping areas
Replies
2
Views
263
GIS_User
noetsi
Overdispersion/ unobserved heterogenity in logistic regression.
Replies
11
Views
355
noetsi
hlsmith
Continous (Ordinal) Outcome with Middle Group as Target
Replies
5
Views
267
hlsmith
B
How to continue raw data for Forcasting ~ Holts-Winter
Replies
0
Views
178
Bre
S
Regression and ANOVA
Replies
1
Views
207
Karabiner
E
Regression coefficient and SE = 0
Replies
7
Views
286
GretaGarbo
J
Logistics Regression and Decision Tree produced Different results
Replies
1
Views
176
hlsmith
E
Analysis for a Cluster RCT
Replies
0
Views
119
Epi and Stats
T
Very High P Values in Neurofeedback
Replies
4
Views
335
hlsmith
A
Variance of indivudial variables in multiple regression
Replies
2
Views
521
noetsi
0
Comparing categories of a independent variable in logistic regression
Replies
0
Views
176
0.05
N
The deriviation of liu estimator
Replies
0
Views
192
nano
S
Difference in differences estimation using a regression
Replies
3
Views
393
BenedictT
kiton
Modeling cancer incidence rates
Replies
9
Views
514
ondansetron
H
Help about PCA in SPSS
Replies
0
Views
173
HBHB
T
High values for independent variables
Replies
4
Views
270
hlsmith
N
principal component two parameter estimator
Replies
0
Views
185
nano
A
General questions related to statistics
Replies
0
Views
283
alia123
R
Using logit with linear regression analysis
Replies
0
Views
154
rkfischer
S
Two-way interactions in Three-way interactions model?
Replies
0
Views
160
sjminn
S
linear model of the relationship between two quantitative variables in which the slope coefficient is non-zero.
Replies
1
Views
254
Erika_Hammerl246
S
What all variables should be scaled while doing multiple regression?
Replies
0
Views
204
shivam.verma
S
Basic doubt - dummy code vs. hierarchical model
Replies
0
Views
224
santoshbs
You must log in or register to post here.