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1         Cox proportional hazards models, stratified by age, were used to estimate rates of total GI bleeding.
2  Cox proportional-hazard modeling and Kaplan-Meier analyses were used to estimate long-term OS.
3  To examine causality in the reverse direction, MR analyses were used to estimate the effect of the same disordered eatin
4                            Extended Cox regression analyses were used to estimate hazards of experiencing periodontal dis
5                                    Bivariate trait analyses were used to estimate the genetic and environmental correlati
6            Multivariable regression and propensity analysis were used to estimate the proportion of the discard rate rise
7   Cross-sectional distribution- and anchor-based approaches were used to estimate MID.
8 ng, kayaking, and rowing) on waterways in the Chicago area, were used to estimate the cost per case of gastrointestinal i
9                 Single-point internal standard calibrations were used to estimate absolute concentrations for 307 unique
10 gression models adjusting for serum cotinine concentrations were used to estimate odds ratios for lung cancer risk associ
11 linear regression models adjusted for potential confounders were used to estimate associations between quartiles of dieta
12       Materials and Methods California Cancer Registry data were used to estimate population-based cancer-specific surviv
13 ntative of the backbone and density functional theory (DFT) were used to estimate the backbone shape for each copolymer.
14                                             Gomez equations were used to estimate arteriolar afferent resistance, efferen
15 log link, Poisson distributions, and robust standard errors were used to estimate adjusted risk ratios (RRs) to model ris
16 iable log-Poisson regression with empirical standard errors were used to estimate the continuous and categorical associat
17 iable Poisson regression models with robust error estimates were used to estimate the relative risk of outcomes.
18     Logistic regression models with empirical Bayes factors were used to estimate standardized morbidity ratios for each
19 ptical coherence tomography (OCT) as candidate risk factors were used to estimate adjusted growth rates, standard errors
20                         Here, airborne measurements of HNCO were used to estimate primary and secondary HNCO for the oil
21                        Random-effects meta-analysis methods were used to estimate proportions.
22                  Competing risks and multivariable modeling were used to estimate the cumulative incidence of death, tran
23                                   Crude and adjusted models were used to estimate associations.
24                                        Markov cohort models were used to estimate the health impact for the Australian po
25                                       Random-effects models were used to estimate pooled effect sizes and 95% CIs.
26                            Random- and fixed-effects models were used to estimate the pooled standardized mean difference
27                     Generalized estimating equations models were used to estimate standardized associations between TNFR1
28                      Validated small area estimation models were used to estimate county-level mortality rates from 29 ca
29                    Piecewise Cox proportional hazard models were used to estimate the association between graft loss, mor
30                             Cox proportional hazards models were used to estimate hazard ratios and 95% confidence interv
31               Multivariable Cox proportional hazards models were used to estimate T2D HRs and 95% CIs according to baseli
32                                           Log-linear models were used to estimate prevalence ratios (PRs) of feeding patt
33                             Multilevel multivariable models were used to estimate the adjusted risk ratio (aRR) for recei
34                                  Logistic regression models were used to estimate associations between serum PBBs and PCB
35                  Cox proportional hazards regression models were used to estimate hazard ratios (HRs).
36                                       Cox regression models were used to estimate hazard ratios for cardiovascular outcom
37                                       Cox regression models were used to estimate hazard ratios for CRC risk.
38                      Conditional logistic regression models were used to estimate odds ratios (ORs) that were adjusted fo
39        Multivariable conditional logistic regression models were used to estimate odds ratios adjusted for potential conf
40      Multivariable unconditional logistic regression models were used to estimate odds ratios and 95% confidence interval
41                                   Poisson regression models were used to estimate the age-adjusted incident rate ratios b
42 ally confounding covariates, and logistic regression models were used to estimate the risk of pre-treatment (pre-ART) los
43                  Hydrometric and hydrochemical observations were used to estimate that the aquifer contains approximately
44                                               Model outputs were used to estimate threshold steady state blood concentrat
45 born in 1940 or later) and adjusted for age, sex, and race, were used to estimate hazard ratios (HRs) for the risk of cat
46 tly, throughput-based EFs for both the NGPPs and refineries were used to estimate total U.S. emissions from these facilit
47  data, predictive variables available in national data sets were used to estimate high arsenic in unsampled areas.
48 y, thermochemistry measurements for the perrhenate sodalite were used to estimate the thermochemistry of pertechnetate so
49 ure and absolute risks for serious adverse events in SPRINT were used to estimate the number of potential deaths and hear
50     Data from the California Pesticide Use Reporting System were used to estimate the amount of elemental sulfur applied

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