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1 alysis to account for informative censoring (cohort analysis).
2 e interval, 0.11-0.79; P = 0.016 in combined cohorts analysis).
3 ogic outcomes were analyzed in retrospective cohort analysis.
4 ECMO using a propensity score-matched (1:1) cohort analysis.
5 ng kidney-only transplant in a retrospective cohort analysis.
6 along with 4032 subcohort members in a case-cohort analysis.
7 ransplant outcome in a uni- and multilateral cohort analysis.
8 to 2004 were included in this retrospective cohort analysis.
9 The study was a retrospective cohort analysis.
10 xaminations were included in a retrospective cohort analysis.
11 udy and deemed eligible for inclusionin this cohort analysis.
12 Poisson regression modeling in an age-period-cohort analysis.
13 traumatic brain injury in this observational cohort analysis.
14 ed and 407 unvaccinated women in the matched cohort analysis.
15 hild's third birthday, were included in this cohort analysis.
16 , VKA-ICH and NOAC-ICH in this observational cohort analysis.
17 pean patients, to conduct a population-level cohort analysis.
18 stigated albeit critical parameter for large-cohort analysis.
19 C or TMT by using a propensity score matched-cohort analysis.
20 Retrospective, longitudinal cohort analysis.
21 Sample to conduct a retrospective nationwide cohort analysis.
22 comparison women were identified for a case-cohort analysis.
25 ways: firstly replicating the trial reported cohort analysis acknowledging pairing of observations, b
27 ly, was 65% (61-68%) vs. 37% (31-43%) in the cohort analysis and 77% (67-84%) vs. 46% (25-61%) in the
30 ease (CVD) were included in this prospective cohort analysis and followed for an average of 6.7 years
31 ectional retrospective study with age-period-cohort analysis and incidence projection modeling using
34 This propensity score-matched retrospective cohort analysis assessed 2127 children and adolescents,
36 tional analysis (genomics) and retrospective cohort analysis (audiological measures) were conducted f
42 ETTING, AND PARTICIPANTS: This retrospective cohort analysis, conducted from September 1, 2022, throu
44 AND PARTICIPANTS: In this single-institution cohort analysis, data were collected from patients with
45 nsistent with these observations, human GWAS cohort analysis demonstrated a significant association b
51 ING, AND PARTICIPANTS: This was a preplanned cohort analysis from the Multi-Arm Optimization of Strok
54 ING, AND PARTICIPANTS: This population-based cohort analysis identified adults (age >=16 years) who w
55 infants were eligible for this retrospective cohort analysis if enrolled at <18 months at 198 clinics
57 ducted a single-center retrospective matched-cohort analysis in adult patients with Enterobacteriacea
61 13 of 61; 23%), we performed a retrospective cohort analysis in which patients with CF and PTLD were
62 ETTING, AND PARTICIPANTS: This retrospective cohort analysis included 105 785 patients with cutaneous
64 After propensity score matching, the main cohort analysis included 7496 patients, of whom 3748 had
65 ETTING, AND PARTICIPANTS: This retrospective cohort analysis included adult patients admitted to gene
66 ETTING, AND PARTICIPANTS: This retrospective cohort analysis included adult patients in the intensive
67 ETTING, AND PARTICIPANTS: This retrospective cohort analysis included patient records from the Nation
68 ETTING, AND PARTICIPANTS: This retrospective cohort analysis included patients diagnosed with RCC fro
69 ND PARTICIPANTS: This retrospective database cohort analysis included patients in 2 access programs a
70 ETTING, AND PARTICIPANTS: This retrospective cohort analysis included privately insured patients aged
72 , AND PARTICIPANTS: This was a retrospective cohort analysis including patients 70 years or older at
75 ith somewhat lower cognitive scores in whole-cohort analysis (mean difference comparing offspring exp
77 es the possibility of how genotype-phenotype cohort analysis might facilitate precision medicine in t
79 c women were sampled for inclusion in a case-cohort analysis (n=564 comprising the subcohort, n=479 e
80 RTICIPANTS: This population-based age-period-cohort analysis obtained OPC incidence data from the Sur
85 adult patients, we conducted a retrospective cohort analysis of 1286 patients aged >/=18 years who un
90 lity, and hospitalization in a retrospective cohort analysis of 1671 incident hemodialysis patients w
95 NG, AND PARTICIPANTS: This was a prospective cohort analysis of 22 398 self-reported nonexercising ad
99 DESIGN, SETTING, AND PATIENTS: Retrospective cohort analysis of 317,643 patients (n = 579,504 admissi
100 dence of type 2 diabetes (T2D).A prospective cohort analysis of 3349 individuals who were free of dia
101 TTING, AND PARTICIPANTS: In this prospective cohort analysis of 3412 older adults without diabetes fr
106 DESIGN, SETTING, AND PATIENTS: Retrospective cohort analysis of 52,791 pediatric admissions to 54 U.S
107 Health Study (1980-2004); and a prospective cohort analysis of 69,693 participants without prior car
109 , SETTING, AND PARTICIPANTS: A retrospective cohort analysis of 701 patients with locally advanced NS
110 GN, SETTING, AND PARTICIPANTS: Retrospective cohort analysis of 748 090 adults aged 18 to 55 years in
117 TING, AND PARTICIPANTS: This was a secondary cohort analysis of a single-arm clinical study including
126 METHODS AND We performed a retrospective cohort analysis of claims data for Medicaid beneficiarie
131 G, AND PARTICIPANTS: This is a retrospective cohort analysis of data from the National Health and Nut
135 to find reliable effects, we present a multi-cohort analysis of dMRI metrics across 3047 individuals
136 of this study was to perform a case-matched cohort analysis of dual kidney transplantation (DKT) fro
142 , AND PARTICIPANTS: This was a retrospective cohort analysis of longitudinal electronic health record
146 GN, SETTING, AND PARTICIPANTS: Retrospective cohort analysis of neonates with HIE who underwent thera
153 To assess the impact of DOX, a contemporary cohort analysis of patients treated from 1975 to 1990 wa
154 To assess the impact of IF, a contemporary cohort analysis of patients treated from 1990 to 2003 wa
157 rope, Asia, and Australia) and a multicenter cohort analysis of patients with advanced HCC treated wi
160 uate such steroid avoidance, a retrospective cohort analysis of pediatric kidney transplant recipient
162 G, AND PARTICIPANTS: This is a retrospective cohort analysis of primary care practitioner (PCP) visit
163 ESIGN, SETTING, AND PARTICIPANTS: This was a cohort analysis of retrospectively collected longitudina
164 ucted two types of analysis: 1) a historical cohort analysis of singleton live births in New Jersey h
165 hma complicating pregnancy, using historical cohort analysis of singleton live deliveries in New Jers
168 SIGN, SETTING, AND PARTICIPANTS: Exploratory cohort analysis of the Hypoglycaemia Prevention With Ora
170 , SETTING, AND PARTICIPANTS: A retrospective cohort analysis of the largest multi-institutional elect
171 AND PARTICIPANTS: This study was a post hoc cohort analysis of the Preterm Erythropoietin Neuroprote
177 Survivor Study, we performed a retrospective cohort analysis of validated cases of congenital anomali
178 , SETTING, AND PARTICIPANTS: A retrospective cohort analysis of women aged 18 years or older diagnose
180 To validate associations, we performed a kin-cohort analysis on the 14 704 first-degree relatives of
182 of baseline-matched subgroups concurred with cohort analysis (P = .009 for comparison of peginterfero
185 his prospective nonrandomized interventional cohort analysis performed at a tertiary referral center
192 ETTING, AND PARTICIPANTS: This retrospective cohort analysis reviewed the medical records for materna
197 ncer (OnCoRe) was a propensity-score matched cohort analysis study, that included patients of all age
201 Wade Hampton Frost developed methods for cohort analysis that formed the early basis for adjustme
202 es, as well as in a propensity score-matched cohort analysis that further assessed the impact of resi
205 The authors identified 1 large, matched cohort analysis that reported greater weight loss with s
216 e used both family-based and cross-sectional cohort analysis to test for interactions between CD14 ge
220 ETTING, AND PARTICIPANTS: This retrospective cohort analysis used a 20% nationally representative sam
221 ETTING, AND PARTICIPANTS: This retrospective cohort analysis used a difference-in-differences study d
222 ETTING, AND PARTICIPANTS: This retrospective cohort analysis used data collected from January 1, 2007
223 ETTING, AND PARTICIPANTS: This retrospective cohort analysis used data from 2 large cohorts of young
224 ETTING, AND PARTICIPANTS: This retrospective cohort analysis used data from the GWTG-AFIB registry, a
225 ETTING, AND PARTICIPANTS: This retrospective cohort analysis used data from the satellite office of a
226 ETTING, AND PARTICIPANTS: This retrospective cohort analysis used data from the Symphony Health claim
227 DESIGN, SETTING, AND PARTICIPANTS: This cohort analysis used data from the Treatment of Preserve
228 ETTING, AND PARTICIPANTS: This retrospective cohort analysis used mortality data of young adults aged
229 DESIGN, SETTING, AND PARTICIPANTS: This cohort analysis used the large and still enrolling HeadS
233 conducted a population-based, retrospective cohort analysis using data from all primiparous women wh
235 TS: A prospective, multicenter, longitudinal cohort analysis using HRQOL data from the PROST-QA and R
242 ETTING, AND PARTICIPANTS: This retrospective cohort analysis was conducted among a subset of patients
243 pective, population-based, season-stratified cohort analysis was conducted among children who were bo
245 , SETTING, AND PARTICIPANTS: A retrospective cohort analysis was conducted from September 1, 2019, to
247 , SETTING, AND PARTICIPANTS: A retrospective cohort analysis was conducted of 566 patients with MF/SS
248 , SETTING, AND PARTICIPANTS: A retrospective cohort analysis was conducted of a 5% nationally random
255 , SETTING, AND PARTICIPANTS: A retrospective cohort analysis was conducted using electronic health re
256 CIPANTS: This retrospective population-level cohort analysis was conducted using the TriNetX Research
274 The aim of this contemporary population-cohort analysis was to explore the effect of donor-recip
279 onmental Influences on Child Health Outcomes cohort; analysis was conducted from July to October 2023
289 population-based, self-matched, longitudinal cohort analysis, we studied 8815 adults from Ontario, Ca
296 ETTING, AND PARTICIPANTS: This retrospective cohort analysis with exact and propensity score-matched
298 A one-to-one propensity-matched matched cohort analysis with multivariate analysis of effects wa
299 NG, AND PARTICIPANTS: This was a prospective cohort analysis within the Vitamin D and Omega-3 Trial (