Table 2.
Linear regression after log transformation: factors influencing lesion size (continuous) (abscess) (n = 121)
| Dominant model | Recessive model | ||||
|---|---|---|---|---|---|
| Variable | Estimate (SE) | p value | Estimate (S.E.) | p value | |
| Intercept | 2.595 (0.706) | 3.157 (1.218) | |||
| Age | − 0.023 (0.010) | .020 | − 0.024 (0.009) | .011 | |
| Gender – Female | 0.683 (0.265) | .011 | 0.656 (0.269) | .016 | |
| BMI | 0.060 (0.022) | .007 | 0.062 (0.022) | .006 | |
| Comorbidities | 1 or 2 | 1.035 (0.308) | .001 | 1.134 (0.304) | < .001 |
| More than 2 | 1.871 (0.522) | .001 | 2.025 (0.514) | < .001 | |
| TLR6 P249S—het/homo (D)—WT/het (R) | − 0.509 (0.236) | .033 | 0.997 (0.438) | .025 | |
| TLR1 R80T—het/homo (D)—WT/het (R) | ns | ns | − 1.830 (0.764) | .018 | |
SE, standard error; BMI, body mass index; het/homo, heterozygous and homozygous; WT/het, wild-type and heterozygous; (D), dominant model analysis; (R), recessive model analysis; ns, not significant