Hi Silvano,
this is FAQ 7.17 http://cran.r-project.org/doc/FAQ/R-FAQ.html#Why-does-the-output-from-anova_0028_0029-depend-on-the-order-of-factors-in-the-model_003f

hth.

Silvano schrieb:
Hi,

I have a dichotomous variable (Q1) whose answers are Yes or No.
Also I have 2 categorical explanatory variables (V1 and V2) with two levels each.

I used logistic regression to determine whether there is an effect of V1, V2 or an interaction between them.

I used the R and SAS, just for the conference. It happens that there is disagreement about the effect of the explanatory variables between the two softwares.

R:
q1 = glm(Q1~grau*genero, family=binomial, data=dados)
anova(q1, test="Chisq")

           Df Deviance Resid. Df Resid. Dev P(>|Chi|)
NULL                          202     277.82
grau         1   4.3537       201     273.46   0.03693 *
genero       1   1.4775       200     271.99   0.22417
grau:genero  1   0.0001       199     271.99   0.99031

SAS:
proc logistic data=psico;
class genero (param=ref ref='0') grau (param=ref ref='0');
model Q1 = grau genero grau*genero / expb;
run;
                                  Type 3 Analysis of Effects
                                                     Wald
                        Effect           DF    Chi-Square Pr > ChiSq

                        grau              1        1.6835 0.1945
                        genero            1        0.7789 0.3775
                        genero*grau       1        0.0002 0.9902

The parameters estimates are the same for both.
Coefficients:
            Estimate Std. Error z value Pr(>|z|)
(Intercept)  0.191055   0.310016   0.616    0.538
grau         0.562717   0.433615   1.298    0.194
genero      -0.355358   0.402650  -0.883    0.377
grau:genero  0.007052   0.580837   0.012    0.990

What am I doing wrong?

Thanks,

--------------------------------------
Silvano Cesar da Costa
Departamento de Estatística
Universidade Estadual de Londrina
Fone: 3371-4346

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