1 oefficients obtained from mean square displacement (D(MSD))
data were 20-100% larger for the two uncharged PDIs compared
2 Data were analysed thematically using deductive and inductive
3 Qualitative
data were analysed using content analysis techniques.
4 HD-EEG
data were analysed using independent component analyses, sour
5 ked using days of therapy (DOT) per 1,000 patient-days, and
data were analyzed by an interrupted time series.
6 ll randomized study eyes in HARBOR with both FFA and SD OCT
data were analyzed for (1) evidence of CNV activity on SD OCT
7 pregnant women, administrative and electronic health record
data were analyzed from retrospective cohorts of pregnant wom
8 Structural magnetic resonance imaging
data were available for 250 participants.
9 Serial
data were available for analysis from 70 patients (LLL <0.5 m
10 synodontis cf. batesii and Mochokiella paynei, for which no
data were available.
11 Model comparison revealed that, for both tasks, the
data were best accounted for by a variant of the drift diffus
12 Data were collated descriptively.
13 Demographic, clinical, treatment, and outcome
data were collected and descriptive statistics were performed
14 Data were collected between July 2006 and February 2016.
15 Data were collected for communicable diseases commonly screen
16 Data were collected for those >=70 years of age, and particip
17 Movement
data were collected from > 200 episodes and 18 different type
18 In this retrospective, single-center study, T1 mapping
data were collected from 48 healthy pediatric patients (14 ye
19 Data were collected from the digital patient records of all a
20 d., Glasgow, United Kingdom) worn continuously over 7 days;
data were collected in 2016-2018.
21 Clinical and genetic
data were collected on 107 patients with pathogenic DSP mutat
22 Data were collected on baseline demographics, systemic and oc
23 Demographic and clinical
data were collected, including data on clinical management, r
24 factor (PARAFAC) analysis where absorption and fluorescence
data were combined.
25 The group
data were contrasted.
26 Survival
data were correlated with histopathologic findings.
27 ed in a sensitivity analysis in which neonates with missing
data were counted as having had a primary outcome event in th
28 Data were cross-checked and any discrepancy discussed.
29 Data were entered retrospectively into a multicenter registry
30 regression of TS energy, were carried out and the obtained
data were found to be in good agreement with experimental fin
31 Data were grouped according to the eye and the medication so
32 ore and 14 713 additional variants supported by linked-read
data were identified.
33 Data were linked with national registers for hospital admissi
34 Patient-level
data were matched to county-level County Health Ranking data
35 all tested modeling approaches when metabolite time course
data were missing, but found these effects to be smaller for
36 stability of the relapse-free survival benefit, longer-term
data were needed.
37 Improved cross-section
data were obtained by exploiting the negligible cosmic-ray ba
38 procedures were obtained from the literature, and frequency
data were obtained from commercial, governmental, and profess
39 Data were obtained from the National Alzheimer's Coordinating
40 Funding
data were obtained from the National Cancer Institute (NCI).
41 PET amyloid
data were obtained with 18F-flutemetamol (Vizamyl(R)) at base
42 y and equity, validation, and liability, as well as how its
data were obtained.
43 nes identified using public genome-wide association studies
data were particularly enriched in lesional macrophages, endo
44 knee pain, and socio-demographic, laboratory, and clinical
data were recorded for all study participants.
45 The MD
data were subsequently used to calculate time evolution of th
46 Fourteen site years of
data were used from two different trials, namely Regional Cor
47 HIV surveillance
data were used to assess demographic, clinical, and behaviora
48 Genotype-Tissue Expression Project (GTEx) RNA-seq
data were used to construct the top 10% specifically expresse
49 Telemetry
data were used to identify spring activity dates for 48 indiv
50 The in-vivo metabolic
data were validated by mitochondrial respirometry, enzyme act