Table S1.

Model fit statistics for latent class models with 1–15 classes based on data on 19 self-reported symptoms

Number of classes	LL	BICLL	CAICLL	Classification error
1	−121,722	243,664	243,685
2	−107,331	215,093	215,134	0.044
3	−106,073	212,786	212,847	0.068
4	−104,923	210,697	210,778	0.087
5	−104,298	209,655	209,756	0.095
6	−104,080	209,430	209,551	0.099
7	−103,926	209,331	209,472	0.111
8	−103,790	209,270	209,431	0.119
9	−103,657	209,214	209,395	0.123
10	−103,541	209,191	209,392	0.127
11	−103,466	209,252	209,473	0.132
12	−103,409	209,347	209,588	0.144
13	−103,354	209,448	209,709	0.139
14	−103,309	209,567	209,848	0.149
15	−103,260	209,680	209,981	0.140

Note: The model includes direct effects between rapid heartbeat and chest pain and between urinary incontinence and urinary retention.

Abbreviations: BIC, Bayesian Information Criterion; CAIC, Consistent Akaike’s Information Criterion; LL, log likelihood statistics.