Hi,
I am checking the effect of temperature on kidney disease hospital admissions with NO2(an air pollutant). In other words, how the effect of daily temperature on Kidney disease admissions modifies with changing levels of NO2 in air.
I got the significant result with as follows:
Estimate Std. Error z value Pr(>|z|)
templg0:no2lg0 -0.0004774 0.0001964 -2.431 0.015068
if I interpret it as:
An increase in level of No2 is significantly associated with a decrease in the effect of temperature on respiratory admissions.
OR
The effect of temperature on hospital admissions decreases as NO2 concentration increases.
Is that the right interpretation or any changes required. Please give your suggestions.
Best,
Correct. The statistical analysis cannot elucidate the biological mechanism. A negative interaction term could mean either that the effect of temperature on admissions is less at higher NO2 levels OR that the effect of NO2 on admissions is less at higher temperatures.
The interpretation of interaction is in another form. Interaction is interpreted when the value of one of the variables is considered to be a fix.
Would you like to cite the variables of your study more clearly? Are there two or three variables? In the case of quantitative variables, it could more simply be a problem of correlation between two variables or between two variables taking into account a third one.
Otherwise, the types of interaction encountered in medical
research may be a multiplicative interaction
or an additive interaction.
Multiplicative interaction is measured by relative risk or
odds ratio. The observed effect may be a multiplicative
synergy or a multiplicative antagonism.
Additive interaction is measured by the difference in risk.
the observed effect may be additive synergy or additive antagonism
- Badges
- Science topic
- Similar topics
- Mathematics
- Statistics