Table 2. Unconditional and conditional logistic regression analysis of the number of oocytes retrieved.

Variable		Clinical pregnancy Model						Live birth Model
		OddsRatio1	P-value1	OddsRatio2	P-value2	OddsRatio3	P-value3	OddsRatio1	P-value1	OddsRatio2	P-value2	OddsRatio3	P-value3
Oocytes retrieved			<0.0001a		0.968a		0.693a		<0.0001		0.666a		0.396a
	≤6	0.59[0.47–0.73]	<0.0001	1.03[0.80–1.34]	0.809	1.10[0.85–1.44]	0.439	0.64[0.51–0.79]	<0.0001	1.09[0.85–1.42]	0.495	1.12[0.89–1.56]	0.183
	7–14	0.95[0.81–1.12]	0.562	1.02[0.86–1.20]	0.861	1.05[0.90–1.25]	0.509	0.92[0.78–1.09]	0.328	0.98[0.83–1.16]	0.804	1.02[0.86–1.21]	0.754
	≥15	1		1		1		1		1		1

¹Unconditional logistic regression model with only the number of oocytes retrieved included.

²Conditional logistic regression model with the number of oocytes retrieved included, stratified by the number of good-quality embryos transferred and the number of embryos transferred.

³Conditional logistic regression model with the number of oocytes included, stratified by the number of good-quality embryos transferred and the number of embryos transferred and maternal age (<35, ≥35).

^ap-value for testing overall effects of number of oocytes retrieved.