Results were analyzed using a full factorial ANOVA with isolate and temperature as main effects (data from 25°C were excluded from this analysis because PX174 did not reproduce at this temperature).
A two-factor ANOVA showed a main effect of data type (real data vs. optimised data, F1,42 = 7.22, P < 0.05).
The main effect of data collection round (P < 0.05) on all weight, BMI and BMI/A Z-score values as well as on one W/A Z-score (6-year-old boys) and some H/A Z-score (7-year-old boys and 9-year-old girls) values were statistically significant.
Moreover, sensitivity analyses using different smoking exposure definitions (that is, defining exposure alternatively as 1) current, past, or never smoker, and 2) current or past/never smoker) did not reveal any further confounding of smoking on the main effect estimate (data not shown).
Since interactions were found to be statistically significant (results not shown) thus rendering the interpretation of main effects problematic, data was pooled across MOIs within each day.
The HHIP region was previously highlighted in the GWAS of FEV1/FVC focus on gene main effect using FHS data.
The main effect for type of data showed that there were differences among the observed and predicted responses, F 2, 4544) = 13.02, p < .0001.0001
In contrast, a significant spatial cuing main effect was observed when data were collapsed across orientation validity, F 1, 26) = 7.053, p =.013, η =.213.
Subgroup analysis of the effects of cardiac risk, heart failure grade and type of surgery showed no evidence of interaction with the main effect of the intervention (data not shown).
This occurred due to the strong main effect of APOE in the data, and the alternative hypothesis of nonrandom association for MDR and MDR-PDT, rather than interaction.
