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1 ibution of RuDCBPY centers within MOF crystallites are also estimated with the use of confocal fluorescence microscopy.
2     Infarct size (area of necrosis/area at risk; AN/AR) was estimated with the use of nitroblue tetrazolium staining.
3 e age-specific breast-cancer risk for mutation carriers was estimated with the use of a modified segregation-analysis app
4 as not prespecified, the malaria exposure of each child was estimated with the use of information on the prevalence of ma
5    The relation between IQ and blood lead concentration was estimated with the use of linear and nonlinear mixed models,
6 ity by diet group for each of 18 common causes of death was estimated with the use of Cox proportional hazards models.
7  of subsequent spontaneous Q-wave myocardial infarction was estimated with the use of Cox regression models.
8                                      Dietary fat intake was estimated with the use of country-specific validated food que
9                        Each child's exposure to malaria was estimated with the use of the distance-weighted local prevale
10                                                Fat mass was estimated with the use of bioelectrical impedance analysis.
11                                                  The PA was estimated with the use of a single-frequency bioelectrical im
12 ase (i.e., disease requiring renal-replacement therapy) was estimated with the use of time-dependent Cox regression analy
13                  For each patient, a center average TTR was estimated with the use of a linear mixed model on the basis o
14  Neuropsychological development scores at 4-5 y of age were estimated with the use of the McCarthy Scales of Children's A
15                                BMD, bone area, and BMC were estimated with the use of a total body dual-energy X-ray abso
16 iable HRs (95% CIs) for primary invasive breast cancer were estimated with the use of Cox regression models.
17                                Summary RRs and 95% CIs were estimated with the use of a random effects model for high-int
18                 Fecundability ratios (FRs) and 95% CIs were estimated with the use of proportional probabilities regressi
19                                                  Costs were estimated with the use of Medicare reimbursement rates (disco
20 d clinical trials and other relevant literature, costs were estimated with the use of the Medicare Part A database, and q
21        The extent and severity of angiographic disease were estimated with the use of the CAD prognostic index, and CFR w
22                  Fat-free mass (FFM) and fat mass (FM) were estimated with the use of dual-energy X-ray absorptiometry, u
23 from fresh foods and foods consumed away from the home were estimated with the use of national nutrition survey data.
24 r bed between safety-net hospitals and other hospitals were estimated with the use of bivariate and graphical regression
25 otal, nondairy animal, dairy, and plant protein intake were estimated with the use of 24-h recall data from NHANES 2007-2
26  2011, and relative risks and 95% confidence intervals were estimated with the use of Cox proportional-hazards models adj
27 related incident cancers and 95% uncertainty intervals were estimated with the use of Monte Carlo simulations.
28                Decision tree chance node probabilities were estimated with the use of pooled data from randomized clinica
29 quent week (i.e., 14, 21, 28, and 35 wk, respectively) were estimated with the use of linear regression.The mean +/- SD m
30                 Healthy Eating Index (HEI)-2005 values were estimated with the use of the population ratio method for the

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