Sample attrition analysis in a prospective cohort study of medical graduates in China

Table 4 Results of three outcome variables of career development before and after multiple imputation

Variables	CSP (N=1233)			NCSP (N=947)
Variables	Before imputation	After imputation	P-value^#	Before imputation	After imputation	P-value^#
Income of current job	4022.8 (3868.9)	4065.3 (3555.9)	0.104	6456.1 (5267.2)	6420.9 (4269.9)	0.714
Missing	301	36		547	61
Whether passing the NMLE
No	59 (6.2%)	80 (6.7%)	0.148	51 (9.3%)	91 (10.1%)	0.329
Yes	893 (93.8%)	1110 (93.3%)		496 (90.7%)	809 (89.9%)
Missing	271	33		400	47
Whether obtained a professional title
No	362 (38.0%)	456 (38.3%)	0.676	322 (58.9%)	527 (58.6%)	0.814
Yes	590 (62.0%)	734 (61.7%)		225 (41.1%)	373 (41.4%)
Missing	271	33		400	47

Notes: (1) Source: Compulsory Services Program 2015-2017 wave; (2) Mean and standard deviation are reported for income; N and column % are reported for categorical variables; (3) The P-value was obtained by comparing data before imputation and the imputed data, not with the total data after imputation. T-test was used to examine the differences of “income of current job”, and Chi-square test was used for “whether passing the NMLE” and “whether obtained a professional title”; (4) NMLE China National Medical Licensing Examination; CSP compulsory services program, NCSP non-compulsory services program

ISSN: 1471-2288