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1 m a clinical archive were used and data were deidentified.
2                 The model is estimated using deidentified activity data on 1.1 million browsing and w
3 oard approval was obtained for this study of deidentified aggregate administrative data.
4                              All images were deidentified and randomized, and TA was scored with the
5 n-based range of CK in newborns using 30,547 deidentified anonymous dried blood spot samples.
6 cause all study patients had been previously deidentified by the Cancer Genome Atlas (TCGA), a public
7 ening algorithms, test performance data, and deidentified clinical and laboratory information regardi
8                                              Deidentified clinical data were analyzed to determine th
9                                    Access to deidentified clinical information relating genetic varia
10                                              Deidentified clinical information was collected.
11               In our study, 116 consecutive, deidentified, clinical nasopharyngeal swab samples were
12                                              Deidentified clinician-reported data from all respondent
13  review board permission was obtained to use deidentified CT colonography data for this prospective r
14     The Dose Imaging Registry (DIR) collects deidentified CT data, including examination type and dos
15 modifications, level of difficulty obtaining deidentified data and waivers, experiences with multisit
16                                Retrospective deidentified data collected between 2005 and 2013 were e
17                            We used anonymous/deidentified data collected between January 1, 1995, and
18                    Retrospective study using deidentified data for the 1994-1999 national cohort of 9
19 trospective cohort study was conducted using deidentified data from a national commercial insurance d
20 October 1, 2011, and July 25, 2015, based on deidentified data from phase 3, multicenter, randomized
21                                  We obtained deidentified data from the Australia and New Zealand Dia
22                                              Deidentified data from the remote monitoring Merlin.net
23 d a retrospective, observational study using deidentified data obtained from all consecutive patients
24                                 We collected deidentified data on adult patients (> 18 yr) receiving
25          The study and use of anonymized and deidentified data received approval from the MedStar-Geo
26 sing multiple cross-sectional analyses and a deidentified data set, we analyzed data from infants wit
27           DESIGN, SETTING, AND PARTICIPANTS: Deidentified data were obtained from a nationally repres
28                                              Deidentified data were obtained from United Network for
29                                        Using deidentified data, we examined how 10.1 million U.S. Fac
30  a 14-year period where 171 ICUs contributed deidentified data.
31               We retrospectively queried the deidentified database of patients hospitalized between J
32 aminations from 1997 through 2008 by using a deidentified database.
33 small area estimation models were applied to deidentified death records from the National Center for
34                                              Deidentified death records from the National Center for
35                                              Deidentified death records from the National Center for
36                                              Deidentified demographic and clinical data were used to
37                                  We analyzed deidentified ES data from 6,517 participants (2,204 Afri
38 m January 2013 to March 2015 using archived, deidentified, formalin-fixed, paraffin-embedded GCA-nega
39                                              Deidentified German patient data were used for a retrosp
40 n = 70-698) and controls (n = 808-3818) from deidentified health records.
41 ling algorithm with retrospectively obtained deidentified HIPAA-compliant data.
42                   Materials and Methods Four deidentified HIPAA-compliant datasets were used in this
43                    Data were captured from a deidentified, HIPAA-compliant data warehouse.
44                           Publicly available deidentified hospital claim data for all surgical proced
45 tudy were derived from publicly available or deidentified human subject data.
46  cohort study, with external validation in a deidentified ICU database.
47 ver performance study was performed by using deidentified images acquired between 2008 and 2011 with
48 approval and informed consent for the use of deidentified images were obtained.
49 approval because the 10 image data sets were deidentified in the Osteoarthritis Initiative database,
50 s with concomitant catheterization data, and deidentified individual and group results were shared at
51                                              Deidentified individual participant data from GlaxoSmith
52                                              Deidentified individual-level data from participants (15
53                      Comfort with the use of deidentified information from medical records varied by
54                       The database contained deidentified information pertaining to a cohort of 61107
55 s an anonymous, self-reported, confidential, deidentified, internet-accessible medication error repor
56 radiologists independently interpreted twice deidentified mammograms obtained in 153 women (age range
57 led measure of comfort with secondary use of deidentified medical information and evaluated its corre
58 oratory queries, and billing code queries of deidentified medical record data.
59  board-approved retrospective data set of 84 deidentified, multi-institutional breast MR examinations
60 solated from the dried blood spots of 36,124 deidentified newborn males.
61                              Sites assembled deidentified packets, including physician notes and elec
62 l was obtained for retrospective analysis of deidentified patient images.
63  levels and lipids, we analyzed 4.06 million deidentified patient laboratory test results from Septem
64           This retrospective analysis pooled deidentified patient-level data from 10 academic institu
65 ed Network for Organ Sharing (UNOS) provided deidentified patient-level data.
66 ted Network of Organ Sharing (UNOS) provided deidentified patient-level data.
67                                      Sharing deidentified patient-level research data presents immens
68                 Surgical discard tissue from deidentified patients and samples of normal skin from he
69                                              Deidentified peripheral blood (n = 33) and cord blood (n
70                                      Herein, deidentified plasma was collected from sepsis patients (
71                  Retrospective analysis of a deidentified private insurance database from 2007 throug
72 tability Act-compliant secondary analysis of deidentified prospectively acquired PET/CT test-retest d
73 tability Act-compliant secondary analysis of deidentified prospectively acquired PET/CT test-retest d
74                                              Deidentified records of all cases of melanoma among Quee
75                                              Deidentified records were obtained of all Queensland res
76                                  Two hundred deidentified remnant diarrheal stool specimens were test
77                                        Fifty deidentified serum samples collected from 1986 to 1992 f
78                   A total of 2,410 unformed, deidentified stool specimens were collected.
79                                            A deidentified summary of clinical and radiological record
80 MA Combo 2 tests was assessed using unlinked/deidentified surplus clinical specimens previously analy
81 US population were obtained from 1.4 billion deidentified tax records between 1999 and 2014.
82  in clinical blood plasma samples taken from deidentified TBI patients.
83                      Data were automatically deidentified to comply with Health Insurance Portability
84 search assistants independently coded all 30 deidentified transcripts and resolved discrepancies (kap
85 s in evaluating over 130000 images that were deidentified with respect to age, sex, and race/ethnicit

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