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1 Cross-sectional, population-based epidemiologic study.
2 in In Neonates) is a descriptive prospective epidemiologic study.
3 gals, assess diagnostic tests, and undertake epidemiologic studies.
4 t target populations increases the impact of epidemiologic studies.
5 red the collection and use of the samples in epidemiologic studies.
6 sting required to support large clinical and epidemiologic studies.
7 sociation may be particularly informative in epidemiologic studies.
8 measurement of long-term exposure status in epidemiologic studies.
9 xposed should not routinely be excluded from epidemiologic studies.
10 iomarkers of diet in large-scale clinical or epidemiologic studies.
11 can be used for surveillance of PdD in large epidemiologic studies.
12 tes that the pipeline is suitable for use in epidemiologic studies.
13 tial implications for both clinical care and epidemiologic studies.
14 terious consequences, as reported by several epidemiologic studies.
15 timation problems would benefit all types of epidemiologic studies.
16 not generally considered in the analysis of epidemiologic studies.
17 confirm whether a patient has CLE for use in epidemiologic studies.
18 ing threat to the validity and efficiency of epidemiologic studies.
19 biome as either an exposure or an outcome in epidemiologic studies.
20 have been prohibitively expensive for large epidemiologic studies.
21 culosis is poorly characterized in molecular epidemiologic studies.
22 ociated with serious health impacts in human epidemiologic studies.
23 cancer screening, which may induce a bias in epidemiologic studies.
24 ng programs in estimates of association from epidemiologic studies.
25 with increased risk of pancreatic cancer in epidemiologic studies.
26 s been associated with lower birth weight in epidemiologic studies.
27 of retinol (s-retinol) have been observed in epidemiologic studies.
28 nd estimates of PFAS-outcome associations in epidemiologic studies.
29 sk remains elusive despite a large number of epidemiologic studies.
30 ype II diabetes (T2D) and obesity in several epidemiologic studies.
31 ture and ozone on mortality observed in some epidemiologic studies.
32 sessments of dietary exposure in nutritional epidemiologic studies.
33 e interest as clinical biomarkers in diverse epidemiologic studies.
34 promising alternative asthma definitions for epidemiologic studies.
35 determine the potential for metabolomics in epidemiologic studies.
36 tal epigenetic effects in future large-scale epidemiologic studies.
37 er risk have been shown in many, but not all epidemiologic studies.
38 erred measurement method in clinic-based and epidemiologic studies.
39 ex-specific patterns, across two independent epidemiologic studies.
40 terature is retrospective, population based, epidemiologic studies.
41 ion and CCA has been examined in a number of epidemiologic studies.
42 s 51 HPV genotypes, in 2 large international epidemiologic studies.
43 rly characterized and difficult to assess in epidemiologic studies.
44 epresent a man's long-term average values in epidemiologic studies.
45 ations could improve exposure assessments in epidemiologic studies.
46 ar disease, and diabetes-related outcomes in epidemiologic studies.
47 he rate of misclassification in clinical and epidemiologic studies.
48 iated with lung cancer in some, but not all, epidemiologic studies.
49 has been reported by experimental animal and epidemiologic studies.
50 hods exist to detect residual confounding in epidemiologic studies.
51 een meat and fish intake and disease risk in epidemiologic studies.
52 rrent study was 1) to track how often large, epidemiologic studies address BIVs, 2) to review BIV ide
53 systematic review on the basis of published epidemiologic studies and calculated summary estimates f
54 trong biological plausibility, evidence from epidemiologic studies and clinical trials on the relatio
55 s definitions, offer greater consistency for epidemiologic studies and clinical trials, and facilitat
57 ough current medical practice is informed by epidemiologic studies and experts, the decisions for gui
58 iably reproducible, and cumbersome for large epidemiologic studies and for clinical diagnosis in reso
59 are often encountered in questionnaire-based epidemiologic studies and highlights the need of better
61 h evidence for utility of OP measurements in epidemiologic studies and PM characteristics that drive
62 ecause of the strength of evidence from both epidemiologic studies and randomized controlled trials.
64 comment on physical activity measurement in epidemiologic studies and the implications for research.
65 age at sample sizes typically encountered in epidemiologic studies and when the assumptions of WQS re
66 ased sampling for cervical cancer screening, epidemiologic studies, and postvaccination HPV disease s
67 dentists trained by periodontists in a large epidemiologic study, and affects the performance in a pr
75 gly, risk of bias tools are used to evaluate epidemiologic studies as part of evidence synthesis (evi
76 with increased risk of pancreatic cancer in epidemiologic studies but BMI has usually been assessed
77 k of type 2 diabetes (T2D) has been found in epidemiologic studies, but little is known about potenti
78 Distributed data networks enable large-scale epidemiologic studies, but protecting privacy while adeq
81 m this data set appears superior to previous epidemiologic studies conducted on platinum salt sensiti
84 enrolled at the 10 sites of the Tuberculosis Epidemiologic Studies Consortium from October 2016 throu
88 5, 20, 25) were assessed with the Center for Epidemiologic Studies Depression (CES-D) scale; LTL (yea
89 a 12-item standardized short-form Center for Epidemiologic Studies Depression Scale (+0.220 SD, 95% C
90 Depressive symptoms measured on a Center for Epidemiologic Studies Depression Scale (CES-D) and engag
91 Beck Anxiety Inventory (BAI) and Center for Epidemiologic Studies Depression Scale (CES-D) scores at
95 prevalence of high scores on the Center for Epidemiologic Studies Depression Scale decreased from 10
96 trumental ADL (IADL) disability, Centers for Epidemiologic Studies Depression Scale depression, educa
97 completed the 20-item version of Center for Epidemiologic Studies Depression Scale during wave 1 (me
99 lts with subthreshold depression (Centre for Epidemiologic Studies Depression Scale score >/=16, no c
100 Symptoms were measured with the Center for Epidemiologic Studies Depression Scale Short Form, and t
103 ssive symptoms assessed using the Center for Epidemiologic Studies Depression Scale, a widely used an
104 he Mini-Mental State Examination, Center for Epidemiologic Studies Depression Scale, and factor score
105 teresting example, the multi-item Center for Epidemiologic Studies Depression Scale, which validly ca
106 vey via a ten item version of the Center for Epidemiologic Studies Depression Scale; a total score of
107 uled for HIPEC + CS completed the Center for Epidemiologic Studies-Depression (CES-D) scale before su
108 Inflammatory markers and the Center for Epidemiologic Studies-Depression scale [total score: CES
109 m severity demonstrated using the Center for Epidemiologic Studies-Depression Scale and 17-item Hamil
111 as Satisfaction subscale, and the Center for Epidemiologic Studies-Depression Scale, respectively.
114 depression measures: the 20-item Center for Epidemiologic Studies-Depression screening instrument (C
115 g from assumptions about disease biology and epidemiologic study design, we prove that there is a one
117 h theory help efficiently and reliably guide epidemiologic studies designed to estimate a causal effe
118 ory, Cassel showed how findings from various epidemiologic study designs could be marshalled to build
121 portant potential confounding factor is that epidemiologic studies do not consider retinal tears that
122 time-to-event data from multiple prospective epidemiologic studies enable detailed investigation into
123 include potential introduction of bias into epidemiologic studies estimating genotype-disease associ
124 results will help guide the design of future epidemiologic studies examining milk PFAS concentrations
125 gic studies, though consistent with previous epidemiologic studies finding little evidence for improv
126 surveillance but also hypothesis-generating epidemiologic studies for identifying preventable pregna
127 ociations between metabolites and disease in epidemiologic studies, further emphasizing the usefulnes
129 Detailed metabolic profiling in large-scale epidemiologic studies has uncovered novel biomarkers for
133 wn aspirin to have anticancer properties and epidemiologic studies have associated aspirin use with l
134 of various drug resistance mutations, fewer epidemiologic studies have attempted to validate these e
141 ential reproductive toxicant, but results of epidemiologic studies have been mixed and have been crit
142 rable gut microbiome and gut health, but few epidemiologic studies have considered the relation betwe
144 the ovarian aging process; however, no prior epidemiologic studies have evaluated how dairy-food inta
148 ogression, but to our knowledge no published epidemiologic studies have explored this association.
167 ociated with breast cancer risk, but several epidemiologic studies have reported contradictory result
179 nimal models, historical cohorts, and modern epidemiologic studies have suggested that maternal chara
183 that has been demonstrated in retrospective epidemiologic studies; however, unintended biases may ex
184 o bleeding and serve in the design of future epidemiologic studies if it is validated with patient ou
185 We summarize the most recent findings from epidemiologic studies in humans and from hormone replace
188 d to the reproducibility and transparency of epidemiologic studies include the creation of a global p
189 The UK Biobank study, a cross-sectional epidemiologic study, included 117278 participants aged 4
191 ave a protective effect on skin cancer risk, epidemiologic studies investigating the influence of 25-
195 The inherent value of exposomic data in epidemiologic studies is that they can provide greater u
198 hat enable the use of personal monitoring in epidemiologic studies, long-considered the "holy grail"
199 espiratory outcomes has been investigated in epidemiologic studies mainly including asthmatic childre
200 a core set of variables widely available in epidemiologic studies may be independently associated wi
201 to simulate cross-sectional and prospective epidemiologic studies measuring associations between 2 H
202 he PFAS-birth weight association observed in epidemiologic studies might be attributable to GFR.
203 isk factors for prostate cancer derived from epidemiologic studies not only may be erroneous but may
204 of the evidence, primarily meta-analyses of epidemiologic studies of acceptable scientific quality,
209 amework, we defined six causal scenarios for epidemiologic studies of environmental chemicals measure
211 to estimate workplace physical exposures in epidemiologic studies of musculoskeletal disorders when
214 individual parasites that enables molecular epidemiologic studies of parasite evolution, population
215 ric Systems database allow for sophisticated epidemiologic studies of pediatric severe sepsis and sep
216 the diagnostic criteria used in a variety of epidemiologic studies of periodontitis in pregnant femal
223 eta-analysis of the impact of education, and epidemiologic studies of the Flynn effect is that intell
226 out from 2009 to 2014, nested within a large epidemiologic study of 1,760 healthy controls and men un
228 r replication in the DCCT/EDIC and Wisconsin Epidemiologic Study of Diabetic Retinopathy (WESDR) coho
229 and Complications (DCCT/EDIC) and Wisconsin Epidemiologic Study of Diabetic Retinopathy (WESDR).
230 ipants with type 1 diabetes in the Wisconsin Epidemiologic Study of Diabetic Retinopathy, 730 were ex
232 y Health Study/Study of Latinos, a multisite epidemiologic study of disease prevalence and developmen
233 the Hispanic Established Populations for the Epidemiologic Study of the Elderly to assess cognitive s
238 athies are well documented, but there are no epidemiologic studies on the risk of carpal tunnel syndr
240 d telomere length (TL) have been reported in epidemiologic studies, perhaps because of the time-varyi
242 Conversely, there were many examples of epidemiologic studies promoting ineffective intervention
263 ertainty associated with the results of most epidemiologic studies, techniques exist to characterize
265 ch prevalence estimates may be overstated by epidemiologic studies that do not use confirmatory testi
266 ic acid (PFOA) have been extensively used in epidemiologic studies that examined associations between
267 application of this method in six individual epidemiologic studies that examined the relationship bet
271 ties of respiratory specimen methods used in epidemiologic studies that used RT-PCR to detect influen
275 s for metastatic breast cancer (MBC) through epidemiologic studies, these risk factors have not prove
277 trates has been documented in several recent epidemiologic studies, thus generating significant debat
279 an emerging opportunity for population-based epidemiologic studies to influence health decisions made
280 g the common measures of association used in epidemiologic studies to quantify relationships between
281 shown to induce telomere shortening, but no epidemiologic study to date has examined their associati
282 sponding standard deviation from a published epidemiologic study to estimate the standard deviation o
284 ion that is typically available in published epidemiologic studies, to quantitatively characterize un
285 Yet, there is a lack of population-based epidemiologic studies using current definitions of CRSwN
287 are the focus due to an increasing number of epidemiologic studies using OP measurements showing asso
293 lood pressure and is difficult to measure in epidemiologic studies.We examined the effect of sodium i
294 deep learning model might be useful in large epidemiologic studies wherein detailed structural assess
296 -wide association studies, including several epidemiologic studies with different designs, were used.
297 ive this estimate that combines conventional epidemiologic studies with genome-wide sequencing data:
298 ntial for immortal time bias is pervasive in epidemiologic studies with left truncation or time-varyi
299 r risk of Parkinson disease (PD) in previous epidemiologic studies, with nicotine as a potential cand