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1 ty in data acquisition, post-processing, and population characteristics.
2 y weight for multiple underrepresented study population characteristics.
3 for the vast majority of cases, country and population characteristics.
4 attern on disease risk, independent of other population characteristics.
5 rearm injuries, controlling for Census tract population characteristics.
6 s containing in vivo PK parameters and study population characteristics.
7 ly related to key physiological and clinical population characteristics.
8 e county-level suicide risk in the USA using population characteristics.
9 rations), stratifying results by cohorts and population characteristics.
10 contract design, therapy effectiveness, and population characteristics.
11 r all interventions, despite adjustments for population characteristics.
12 es were lower or higher than expected, given population characteristics.
13 ween sites could be explained by participant population characteristics.
14 etermine body burdens based on individual or population characteristics.
15 come, and establish recovery trajectories by population characteristics.
16 ion, and marital status, as well as zip code population characteristics.
17 ow that this model produces many of the same population characteristics.
18 with landscape-scale environmental and host population characteristics.
19 ity at population level, after adjusting for population characteristics.
20 ut any specific hypothesis-testing or unique population characteristics.
21 relationship between patch test results and population characteristics.
22 be chosen according to the research aims and population characteristics.
23 surface and analyzed their distribution and population characteristics.
24 rventions and adverse outcomes, adjusted for population characteristics.
25 ient population and relates this severity to population characteristics.
26 HPS dependency often reflect differences in population characteristics.
27 ndness was mapped by state and compared with population characteristics.
28 , 2006, 2008, 2010, and 2012 and weighted by population characteristics.
29 iptive statistics were used to summarize the population characteristics.
30 pediatric cancer care and how it may vary by population characteristics across the continental US.
31 vironment such as maternal family, group and population characteristics affected the age at which mal
32 e-invariant natural mortality rate and other population characteristics after the 14th century, with
33 comes, but this relationship could depend on population characteristics and adiposity indicator emplo
34 ated CV mortality, adjusted for county-level population characteristics and baseline PM2.5 concentrat
36 MH growth, and how these varied according to population characteristics and cardiovascular risk facto
38 For each of these treatments, the patient population characteristics and clinical settings in whic
39 comes, the trial is a rich source of data on population characteristics and critical comorbidities in
40 evel variation reflects differences in local population characteristics and health system performance
41 (VE) estimates from settings with different population characteristics and influenza seasonality rem
42 ion in factors such as sampling methodology, population characteristics and marker system can all lea
45 egions (TRRs), accounting for differences in population characteristics and practice environments.
47 t starting ages and intervals will depend on population characteristics and the decision makers' weig
48 lation are, however, highly dependent on the population characteristics and the delineation method us
50 riable analyses were performed, adjusted for population characteristics, and associations between rat
53 r than 60 years with STEMI, changes in other population characteristics, and greater use of reperfusi
54 inical diagnosis, exposure assessment, study population characteristics, and identification of data g
55 have been inconsistent, appear to vary with population characteristics, and may be specific for viru
56 not sufficiently representative of national population characteristics, and often lacked longitudina
57 associations between rates of interventions, population characteristics, and outcomes were assessed u
58 extract data on study design, interventions, population characteristics, and outcomes; evaluate study
59 RR), requiring comparability of time period, population characteristics, and the definition and measu
62 red results with national and city US census population characteristics, as well as active physician
63 panel of screening strategies and to assess population characteristics associated with diagnostic yi
68 ffs warrant further consideration of patient population characteristics before widespread screening w
69 to the cognitive functions studied and study population characteristics, but also to differential sel
70 iptive statistics were used to compare study population characteristics by Medicaid expansion status
72 ew COVID-19 variants emerge, and disease and population characteristics change, screening strategies
73 explained in part by differences in patient population characteristics, CT technique, and interobser
74 as an inverse problem of deducing the defect population characteristics (density, correlations) in sm
75 er B vitamins), as well as analysis based on population characteristics, duration, dose, and change i
79 main predictors of mortality variations were population characteristics, especially age and socio-eco
82 ociations between these disease patterns and population characteristics have not been determined.
84 CHD mortality are predominantly explained by population characteristics; however, greater detection o
85 Notably, we find heterogenous impacts due to population characteristics implying that measures can mi
86 tween corneal optical densitometry and basic population characteristics in healthy Upper Egyptian sub
87 Effect modification was assessed for key population characteristics including age, baseline systo
88 ortality rate as the dependent variable, and population characteristics (index of multiple deprivatio
89 all interventions, even after adjusting for population characteristics, indicating overuse of interv
93 dently abstracted trial-level data including population characteristics, interventions, clinical outc
94 e abstracted information about study design, population characteristics, interventions, outcomes, and
99 assess heterogenous impacts due to counties' population characteristics, namely ethnicity and househo
102 is study was to assess the impact of patient population characteristics on accuracy by computed tomog
103 viewed the literature on the extent to which population characteristics or clinical features predict
104 by geographic variation, difference in host population characteristics, or differences in sampling m
105 ower to detect a weak effect, differences in population characteristics, or the lack of a true causal
108 White individuals accounting for center and population characteristics ranged from 0.0557 in 2008 to
110 ficient and accepted means of assessing many population characteristics, risk factors, and diseases,
111 women meeting (in addition to the underlying population characteristics) strict individual eligibilit
112 study, and authors and we extracted data for population characteristics such as the number of pregnan
113 or phantom models using the specific patient population characteristics such as total body and inject
114 m concentrations in humans vary depending on population characteristics that affect PFOS exposure and
115 y often result in more accurate estimates of population characteristics that are of interest in epide
116 we sought to describe those study design and population characteristics that influence the magnitude
117 ificantly to resistance to infection, B(Mem) population characteristics that may relate to protective
118 severe infections or super-shedding events - population characteristics that should be further invest
121 nd comparators, study setting, study design, population characteristics, the proportion of infants co
123 suggest that more attention must be paid to population characteristics to identify greater likelihoo
124 pprovals studied, 23 extrapolations of trial population characteristics to the approved indication we
125 the same institution to determine if patient population characteristics, treatment approaches, and cl
127 Maternal-fetal PBDE levels were compared to population characteristics using censored Kendall's tau
128 measurement on prevalence bias under varying population characteristics using mathematical simulation
134 ng in silico patients consistent with target population characteristics, which can then be used in co
135 isted after statistical adjustment for those population characteristics, which differed slightly betw
136 air-matched on the basis of geographical and population characteristics, with the best-matching 16 pa