dear list! i have run several glm analysises to estimate a mean rate of dung decay for independent trials. i would like to compare these results statistically but can't find any solution. the glm calls are: dung.glm1<-glm(STATE~DAYS, data=o_cov, family="binomial(link="logit")) dung.glm2<-glm(STATE~DAYS, data=o_cov_T12, family="binomial(link="logit")) as all the trials have different sample sizes (around 20 each), anova(dung.glm1, dung.glm2) is not applicable. has anyone an idea? thanks in advance! ps: my advisor urges me to use the z-test (the common test statistic in my field of research), but i reject that due to the small sample size.
dear list! i have run several glm analysises to estimate a mean rate of dung decay for independent trials. i would like to compare these results statistically but can't find any solution. the glm calls are: dung.glm1<-glm(STATE~DAYS, data=o_cov, family="binomial(link="logit")) dung.glm2<-glm(STATE~DAYS, data=o_cov_T12, family="binomial(link="logit")) as all the trials have different sample sizes (around 20 each), anova(dung.glm1, dung.glm2) is not applicable. has anyone an idea? thanks in advance! ps: my advisor urges me to use the z-test (the common test statistic in my field of research), but i reject that due to the small sample size.
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