. 2015 Dec 19;18(6):881–887. doi: 10.1093/neuonc/nov302

Table 5.

Propensity score analysis of endocrine outcomes according to RT type

Outcome	Model	PRT vs XRT Odds Ratio (95% CI) or Parameter Estimate (95% CI)	P
Hypothyroidism	PS adjusted	0.13 (0.04–0.42)	<.001
	IPTW	0.13 (0.05–0.38)	<.001
	1:1 Matching	0.07 (0.01–0.54)	.011
Sex hormone deficiency	PS adjusted	0.07 (0.01–0.73)	.026
	IPTW	0.07 (0.01–0.70)	.023
	1:1 Matching	N/A^a
Endocrine replacement therapy	PS adjusted	0.36 (0.12–1.08)	.068
	IPTW	0.35 (0.13–0.93)	.036
	1:1 Matching	0.25 (0.05–1.18)	.080
Height SDS^b	PS adjusted	0.82 (0.13–1.51)	.020
	IPTW	0.82 (0.18–1.46)	.012
	1:1 Matching	0.86 (0.15–1.56)	.017

Abbreviations: PS, propensity score; IPTW, inverse probability of treatment weighting.

The propensity score of being treated with PRT (vs XRT) was estimated using a multivariable logistic regression model including gender, date of diagnosis, histology, location of RT boost, CSI dose, and age at diagnosis.

Forty-six observations were used for 1:1 matching, 77 observations for other models.

^aDue to poor fit caused by a quite small number of events in the matched sample.

^bFor analysis of height SDS, 39 observations were used for 1:1 matching and 59 observations for other models; values are parameter estimate (95% CI).