… class analysis was used to identify patient subgroups with distinct symptom experiences based
on self-report data on symptom … based on an observed response pattern.22, 23 To have a …

… who have different symptom patterns at the time of the initial oncology visit and identify which
clinical and socio-demographic differences are associated the different symptom patterns. …

… to validate depressive symptoms using latent class analysis for … class (severe depression
group) with high statistical significance. Latent class analysis also demonstrated a patient class …

… compared to Class 4 (ie, the most healthy class), only Class 1 … latent class analysis that
examined the symptom patterns of … confirm their unique patterns of symptom endorsement. Our …

… of symptoms nearly every day; and third, the symptoms of … The strategy was to assess
symptoms of depression, anxiety, … AD and analyze the results using the latent class analysis (LCA) …

… The aims of this study were to identify patterns of symptoms and signs of HF, based on …
to predict the pattern membership; and to evaluate the diagnostic value of different patterns. …

… Like class 1, class 3 (2% of total NCS participants) was characterized by many … symptoms,
and 100% of this class met criteria for major depression; however, the symptom pattern was …

… patterns of symptoms prior to FEP diagnosis were identified using latent class analysis. …
Importantly, many patients already had these symptom patterns several years before a FEP …

… symptom within 14 days prior to answering the questionnaire. We used latent class analysis
to identify the somatic symptom … symptom patterns, ie, identifying different somatic symptom …

… to Class 5 by our latent class analysis (2.8% of the total sample) reported that they had a
multitude of bodily symptoms (… the two clustering patterns of somatic symptoms: single-symptom/…