Table 1_Higher oxidative balance score is associated with a decreased risk of infertility: an analysis of NHANES 2013–2020.docx by Mingjun Ma (11518765)

AL scores at baseline and follow-ups. by Eric Priedemann (21175492)

Subjects:

Predicted^* value of age at school entry (in years), by level of height-for-age. by Rabi Joël Gansaonré (20416803)

Subjects: “…demographic surveillance system…”

Maternal group B <i>Streptococcus</i> decreases infant length and alters the early-life microbiome: a prospective cohort study by Shanshan Li (114847)

“…</p> <p>GBS-exposed infants exhibited lower length-for-age z-scores (LAZ) than GBS-unexposed infants, especially at 2 months. …”

Predicted^* value of age at school entry by height-for-age z-score and child’s sex. by Rabi Joël Gansaonré (20416803)

Subjects: “…demographic surveillance system…”

Predicted^* value of age at school entry by height-for-age z-score and mother’s education. by Rabi Joël Gansaonré (20416803)

Subjects: “…demographic surveillance system…”

Predicted^* value of age at school entry by height-for-age z-score and place of residence. by Rabi Joël Gansaonré (20416803)

Subjects: “…demographic surveillance system…”

Predicted^* value of age at school entry by height-for-age z-score and household socioeconomic status. by Rabi Joël Gansaonré (20416803)

Subjects: “…demographic surveillance system…”

Factors associated with AL score (multivariable regression analyses for the third follow-up). by Eric Priedemann (21175492)

Subjects:

Change^a in years of age at school entry according to a one-unit change in the initial value of the height-for-age z-score. by Rabi Joël Gansaonré (20416803)

Subjects: “…demographic surveillance system…”

Predicted^* incidence of repetition by level of height-for-age. by Rabi Joël Gansaonré (20416803)

Subjects: “…demographic surveillance system…”

Predicted^* incidence of dropout by level of height-for-age. by Rabi Joël Gansaonré (20416803)

Subjects: “…demographic surveillance system…”

Additional file 7 of Decreased complement 4 and interleukin-10 as biomarkers in aqueous humour for non-exudative age-related macular degeneration: a case control study by Juliane Schikora (20871169)

Additional file 11 of Decreased complement 4 and interleukin-10 as biomarkers in aqueous humour for non-exudative age-related macular degeneration: a case control study by Juliane Schikora (20871169)

Additional file 10 of Decreased complement 4 and interleukin-10 as biomarkers in aqueous humour for non-exudative age-related macular degeneration: a case control study by Juliane Schikora (20871169)

Additional file 3 of Decreased complement 4 and interleukin-10 as biomarkers in aqueous humour for non-exudative age-related macular degeneration: a case control study by Juliane Schikora (20871169)

Change^a in age at school entry [95% confidence interval]. by Rabi Joël Gansaonré (20416803)

Subjects: “…demographic surveillance system…”

Age at school entry, incidence of grade repetition, incidence of dropout, and baseline characteristics of participants. by Rabi Joël Gansaonré (20416803)

Subjects: “…demographic surveillance system…”

Middle cerebral artery mean flow velocity at three time points. by Marco Carbonara (11483575)

Subjects:

Annual treatment frequencies in all eyes. by Yasuyuki Sotani (20114144)

“…<p>The number of anti-VEGF treatments, STTA, MA-PC, PPV, and total treatments (mean ± SD) significantly decreased from 2.6 ± 1.6, 0.3 ± 0.8, 0.6 ± 0.8, 0.1 ± 0.3, and 3.7 ± 1.7 preoperatively to 0.8 ± 1.9, 0.0 ± 0.2, 0.3 ± 1.0, 0.0, and 1.2 ± 2.2; at year 2 to 0.7 ± 2.0, 0.1 ± 0.6, 0.0 ± 0.2, 0.0 ± 0.2, and 1.0 ± 2.1; and at year 3 to 0.9 ± 2.2, 0.0, 0.2 ± 1.0, 0.0 ± 0.2, and 1.1 ± 3.1 (Kruskal–Wallis test, P < 0.001; Dunn’s test, **P < 0.01). …”