1 The all-cause mortality risk score
was calculated using 0.0398 x (age) + 0.516 x (renal ins
2 The pregnancy start
was calculated using 1) a validated algorithm to estimat
3 NSES
was calculated using 1990 US Census data (block groups;
4 ht ventricular free wall longitudinal strain
were calculated using 2-dimensional speckle-tracking ech
5 A visual distortions index (%DI)
was calculated using 3-dimensional threshold Amsler grid
6 (in 2D axis), height and size of scatterers
are calculated using a feedforward deep neural network (
7 The posterior probability
is calculated using a Bayesian model that integrates pri
8 Power
is calculated using a semi-parametric simulation-based a
9 The CMRglc of each brain region
was calculated using a 3-compartment model and an operat
10 The CMRglc of each brain region
was calculated using a 3-compartment model and an operat
11 The surface area that was sprayed
was calculated using a commercially available software w
12 Relative survival
was calculated using a conditional approach and expresse
13 ificity of the ROP diagnosis by experts that
was calculated using a consensus reference standard diag
14 The effect of vWF on prognosis
was calculated using a Cox regression model.
15 FI
was calculated using a defined approach.
16 Pooled odds ratio (OR)
was calculated using a fixed- or random-effect model.
17 A third MR-AC
was calculated using a model-based, postprocessing appro
18 The ctDNA fraction
was calculated using a novel algorithm designed for the
19 of the binding between vancomycin and Zn(II)
was calculated using a novel fluorometric assay, and NMR
20 ions, and K(i) in individual bone metastases
was calculated using a previously validated method.
21 a patient level, the diagnostic performance
was calculated using a sensitivity analysis, in which eq
22 Kinetic parameters
were calculated using a 1-tissue-compartment model and c
23 and mesio-lingual [ML]) and different PMPEs
were calculated using a 15% cut-off point: 1) full-mouth
24 Odds ratios and 95% confidence intervals
were calculated using a conditional logistic regression
25 T1 values
were calculated using a curve-fitting algorithm on avera
26 Monthly age- and sex-standardized rates
were calculated using a direct method of standardization
27 zing the fMRI data, for AEA and 2-AG ANCOVAs
were calculated using a full factorial model, with condi
28 Individual estimates of REi
were calculated using a maximum likelihood procedure to
29 Misclassification rates
were calculated using a Monte-Carlo 5-fold cross-validat
30 idated method and pharmacokinetic parameters
were calculated using a non-compartmental model.
31 d ID(90)) of target-mediated antibody uptake
were calculated using a Patlak transformation.
32 Daptomycin exposures
were calculated using a published population pharmacokin
33 Risk ratios (RRs) with 95% CIs
were calculated using a random effects model, and Mantel
34 Summary estimates
were calculated using a random effects model.
35 ios (ORs) and 95% confidence intervals (CIs)
were calculated using a random-effects model, overall an
36 Summary estimates
were calculated using a random-effects model.
37 os (RRs), and 95% confidence intervals (CIs)
were calculated using a random-effects model.
38 pillary density (CD) and vessel density (VD)
were calculated using a reflectance-compensated algorith
39 The life-cycle inventories
were calculated using a stoichiometric life-cycle invent
40 size estimates for disease-modifying trials
were calculated using a time-to-event analysis.
41 Driving times for 3.79x10(7) persons
were calculated using a total of 3.88x10(7) available ro
42 The NEI-VFQ scores
were calculated using a traditional subscale scoring alg
43 SUVRs
were calculated using AAL (Automated Anatomical Labeling
44 DNA methylation age can
be calculated using age-related CpGs and might reflect b
45 ed using the fibrosis 4 index (FIB-4), which
is calculated using age, aminotransferases, and platelet
46 PSI-90 scores
were calculated using Agency for Healthcare Research and
47 The proportion of attestations by EHR vendor
was calculated using all attestations for each vendor.
48 The years of life lost
were calculated using all adult nontraumatic emergency m
49 Standardized mean differences (Hedges g)
were calculated using all outcomes reported in the trial
50 ed enamel and dentin interface area (E%, D%)
were calculated using Amira software.
51 ry steps in the various competing mechanisms
are calculated using an ONIOM-based approach in which th
52 An effective mobility value, zeta,
is calculated using an assigned atomic mobility value wi
53 A time trend of CPPopt
was calculated using an automated curve-fitting method t
54 Vascular density
was calculated using an automated image thresholding met
55 The stop-signal reaction time
was calculated using an ex-Gaussian Bayesian model.
56 er operating curves (AUCs) of the two models
were calculated using an independent test set.
57 Factor scores of clinical psychopathology
were calculated using an item-wise confirmatory bifactor
58 res of the most important words of interest,
were calculated using Anthropac by domain and group.
59 Diagnostic accuracy versus FFR </=0.80
was calculated using binary cutoff values of </=0.90 for
60 End-systolic and end-diastolic volumes
were calculated using blood pool images and applied to o
61 Patient complication risk
was calculated using both the universal calculator and a
62 Rate constants
were calculated using canonical variational transition s
63 DLW expenditure
was calculated using chamber-determined RQ either unadju
64 The QALYs
were calculated using Child Depression Rating Scale-Revi
65 Recoveries
were calculated using clean soils spiked with 100, 500,
66 tumors of the conjunctiva and eyelid margin
were calculated using clinical examination with slitlamp
67 cific rates of adverse event free admissions
were calculated using colorectal procedures as an exampl
68 Volume of the Schlemm canal
was calculated using commercially available 3-dimensiona
69 Subhazard ratios (sub-HR)
were calculated using competing risk regression analysis
70 Cumulative incidence rates
were calculated using competing risk survival statistics
71 ith caution due to high heterogeneity, which
was calculated using comprehensive meta-analysis statist
72 -HOMO-LUMO energy gap, hardness and softness
were calculated using computational chemistry tools.
73 atios (OR) and 95% confidence intervals (CI)
were calculated using conditional logistic regression mo
74 Odds ratios (OR)
were calculated using conditional logistic regression.
75 risks (RR) and 95% confidence intervals (CI)
were calculated using conditional logistic regression.
76 the curve (AUC), while predictive parameters
were calculated using contingency tables.
77 Several autoregulation indices
were calculated using correlation and wavelet methods, i
78 ios (HRs) and 95% confidence intervals (CIs)
were calculated using Cox modeling, adjusting for risk f
79 -transformed IL-6, hsCRP, and D-dimer levels
were calculated using Cox models.
80 Hazard ratios
were calculated using Cox proportional hazard models in
81 Hazard ratios (HR) for mortality
were calculated using Cox proportional hazards regressio
82 Hazard ratios (HRs) and 95% CIs
were calculated using Cox proportional hazards regressio
83 expectancy and years of life saved after AMI
were calculated using Cox proportional hazards regressio
84 d ratios (HRs) and 95% CIs for breast cancer
were calculated using Cox proportional hazards regressio
85 Hazard ratios (HRs)
were calculated using Cox regression analysis.
86 otential treatment bias, hazard ratios (HRs)
were calculated using Cox regression and were tested aga
87 s (HRs) of 42-day and one-year EVB mortality
were calculated using Cox regression model.
88 D increment of log-transformed cystathionine
were calculated using Cox regression modeling.
89 [hazard ratio]) and 95% CIs for incident AF
were calculated using Cox regression models adjusted for
90 nd the reliability of the pass/fail decision
were calculated using Cronbach alpha and Subkoviak metho
91 Automated PPCMv density
was calculated using custom Matlab software in inner and
92 alpha- and beta-diversity metrics
were calculated using DADA2-based clustering.
93 Adherence (< 4.5 years or >/= 4.5 years)
was calculated using data from six monthly clinical visi
94 Risk of death score
was calculated using data submitted to the Australia and
95 cortisol, major depression, and neuroticism
were calculated using data from large genome wide associ
96 Voxelwise volume changes
were calculated using deformation-based morphometry, and
97 , activation free energies of chemical steps
were calculated using density functional theory (DFT).
98 nism, and the activation barriers to gearing
were calculated using density functional theory.
99 m(2)h) and casting CS (0.7 +/- 0.01 L/m(2)h)
were calculated using device.
100 PRSs
were calculated using discovery effect size estimates we
101 ociated with protocolized laboratory testing
were calculated using dollar amounts representing 2017 o
102 Displacement in z
was calculated using dye-filled blood vessels as an anat
103 nd the left ventricular ROI, and mean counts
were calculated using Elip-ROI and RG-ROI techniques.
104 The recurrence rate for each study
was calculated using events/person years of follow-up (P
105 % CIs for the incidence rate of transmission
were calculated using exact Poisson methods.
106 owever successful fragile site repair cannot
be calculated using existing techniques.
107 Absolute concentrations
were calculated using extinction coefficients of each of
108 HOMA-B and HOMA-IR
were calculated using FG and FI data.
109 The identity by descent probabilities
were calculated using FlexQTL software and included in t
110 ht pools of patient samples, and specificity
was calculated using four clades of C. auris and closely
111 Adjusted prevalence ratios (aPRs)
were calculated using generalized estimating equations.
112 imorbidity in relation to sensitization ever
were calculated using generalized estimating equations.
113 reast cancer incidence and mortality in 2018
were calculated using GLOBOCAN data.
114 within 7 days of hospital outpatient surgery
were calculated using hierarchical logistic regression m
115 IR and sensitivity
were calculated using HOMA-IR and Matsuda indices.
116 -lamina cribrosa pressure difference (TLCPD)
was calculated using ICP and IOP together with geometric
117 Case fatality rates (CFRs) during 2010-2017
were calculated using incidence data from the Sabah Depa
118 an differences, and 95% confidence intervals
were calculated using independent sample t-tests.
119 Study-specific adjusted effect estimates
were calculated using inverse probability of treatment-w
120 Time to recurrence
was calculated using Kaplan Meier estimates.
121 Cumulative survival free from adverse events
was calculated using Kaplan-Meier curves and Cox proport
122 Net failure
was calculated using Kaplan-Meier estimates, and adjuste
123 The risk of relapse
was calculated using Kaplan-Meier methods, and predictor
124 r recurrence, and melanoma-related mortality
were calculated using Kaplan-Meier estimates, and Cox pr
125 Assay agreement
was calculated using kappa statistics.
126 Interreader agreement
was calculated using kappa-statistics, and semiquantitat
127 epression Scale Short Form, and trajectories
were calculated using latent class growth curve analysis
128 Complexity of the resulting binary strings
was calculated using Lempel-Ziv ('76 & '78) and Titchene
129 Lung cancer excess lifetime risks (ELR)
were calculated using life tables accounting for all-cau
130 The rate of change of ALCSD
was calculated using linear mixed effects models.
131 rogression rate globally and within a sector
was calculated using linear mixed modeling.
132 Global VF progression rate
was calculated using linear regression on mean deviation
133 Sectoral progression rate
was calculated using linear regression on the sensitivit
134 Population estimates
were calculated using linear interpolation from the 2000
135 sociations of LTL with each adiposity marker
were calculated using linear mixed models with a random
136 -based heritability and genetic correlations
were calculated using linkage disequilibrium score regre
137 Incidence
was calculated using livebirths in 2014 (after adjustmen
138 program, and annual percent change in rates
was calculated using log-linear regression.
139 amycin-resistant beta-hemolytic streptococci
were calculated using log-binomial regression, controlli
140 Volume-of-distribution images
were calculated using Logan plots and analyzed on a volu
141 Propensity score (PS) for insulin use
was calculated using logistic regression including prede
142 Odds ratios
were calculated using logistic regression to account for
143 , and 45, other high-risk types, and any HPV
were calculated using logistic regression.
144 Brain-predicted age
was calculated using machine-learning analysis, trained
145 medians for estimated episode of care costs
were calculated using marginal longitudinal two-part reg
146 5-2018 youth and adult MBS utilization rates
were calculated using MBSAQIP data (numerator) and NHANE
147 Procedural costs
were calculated using Medicare reimbursement rates.
148 The rate of PCT thinning
was calculated using mixed effects models.
149 tuberculin skin testing, and relative risks
were calculated using modified Poisson regression models
150 odeficiency virus (HIV) status (adults only)
were calculated using modified Poisson regression, with
151 Radiation dosimetry
was calculated using mouse biodistribution data and bloo
152 ere reported at each visit, and trajectories
were calculated using MPlus.
153 air pollution, and proximity to major roads
were calculated using multiple linear mixed models with
154 Odds ratios
were calculated using multivariable conditional logistic
155 OS and PFS
were calculated using multivariable Cox proportional haz
156 Adjusted odds ratios
were calculated using multivariable logistic regression.
157 ing antibiotic use in BLA and non-BLA groups
were calculated using multivariable negative binomial mo
158 ing antibiotic use in BLA and non-BLA groups
were calculated using multivariable negative binomial mo
159 circulating concentration) and liver cancer
were calculated using multivariable-adjusted conditional
160 oubling of circulating concentration) and LC
were calculated using multivariable-adjusted conditional
161 Adjusted odds ratios (OR) for each diagnosis
were calculated using multivariate logistic regression m
162 Fiber lenght density (FLD)
was calculated using NeuronJ and expressed in mm/mm2.
163 d and the diffusion coefficients at 298.15 K
were calculated using NMR spectroscopy.
164 MPA PK parameters
were calculated using non-compartmental analysis.
165 MPA PK parameters
were calculated using noncompartmental analysis.
166 h mass-spectroscopy (UPLC) and PK parameters
were calculated using noncompartmental methods.
167 r gram (%ID/g) was determined, and dosimetry
was calculated using OLINDA/EXM, version 1.0.
168 rgan doses and the whole-body effective dose
were calculated using OLINDA 2.0.
169 nd radiation-absorbed doses to normal organs
were calculated using OLINDA.
170 Absorbed doses
were calculated using OLINDA/EXM 1.0.
171 oses to individual organs and the whole body
were calculated using OLINDA/EXM 1.2 for the standard ma
172 Absorbed doses
were calculated using OLINDA/EXM, version 1.1.
173 Rates of visual field progression
were calculated using ordinary least-squares linear regr
174 ity of TFS at 3 years given survival to S2P)
was calculated using parametric conditional survival ana
175 Glucose metabolic rate (MR(glc))
was calculated using Patlak linear regression analysis.
176 K(i) and CBV
were calculated using Patlak modelling for manual region
177 ize-exclusion chromatography, and PTM levels
were calculated using peptide mapping.
178 , interobserver, and scan-rescan variability
was calculated using percentage coefficient of variation
179 predictive power of the different parameters
was calculated using permutation.
180 The probability of target attainment
was calculated using pharmacodynamic targets of percenta
181 Cerebral oxygen delivery
was calculated using phase contrast angiography and pre-
182 red LED materials with different wavelengths
was calculated using photoluminescence (PL) spectroscopy
183 Incidence rate ratios (IRRs)
were calculated using Poisson regression for DLBCL risk
184 ted risk ratios for asthma at ages 5-9 years
were calculated using Poisson regression models and pool
185 alizations and 30-day HF re-hospitalizations
were calculated using Poisson regression models.
186 Adjusted incidence rate ratios (aIRRs)
were calculated using Poisson regression, adjusting for
187 ates (illnesses per sample) by treatment arm
were calculated using Poisson regression.
188 Incidence rate ratios
were calculated using Poisson regressions while adjustin
189 ), and the degree of polarization uniformity
was calculated using polarization-sensitive optical cohe
190 events in blacks and 1660 events in whites)
were calculated using pooled Mantel-Haenszel estimates w
191 similar to pack-years of cigarette smoking),
were calculated using predicted BMIs.
192 The local conduction velocity at each point
was calculated using previously established methods.
193 tion between markers and HBeAg seroclearance
were calculated using proportional hazards regression, a
194 ible indispensable amino acid scores (DIAAS)
was calculated using published data on amino acids' dige
195 Prevalence of early and late AMD
was calculated using random-effects meta-analysis strati
196 orrelations between cortisol levels and HCVs
were calculated using random effects.
197 ifferences and standardized mean differences
were calculated using random-effect meta-analyses.
198 Pooled sensitivities and specificities
were calculated using random-effect meta-analyses.
199 Pooled standardized mean differences (SMDs)
were calculated using random-effect models.
200 and during and after the first year of ART,
were calculated using random-effects meta-analyses.
201 Pooled effect sizes
were calculated using random-effects meta-analysis.
202 ifference for continuous outcome with 95% CI
were calculated using random-effects model meta-analysis
203 Effect sizes
were calculated using random-effects models for cognitiv
204 Pooled estimates of incidence and mortality
were calculated using random-effects models.
205 Summary relative risks
were calculated using random-effects models.
206 Pooled odds ratios (ORs) with 95% CI
were calculated using random-effects models.
207 Summary estimates
were calculated using random-effects models.
208 Thresholds for outcome prediction
were calculated using receiver operating curves.
209 m homes with cats or dogs from those without
were calculated using receiver-operating characteristics
210 Height SD scores (SDS)
were calculated using recent national or European growth
211 c Retinopathy Study (appETDRS) letter score,
was calculated using recorded Snellen visual acuities.
212 cidence, outcomes, and trends from 2009-2014
were calculated using regression models and compared wit
213 Changes in KCCQ scores
were calculated using repeated measures analysis of cova
214 fferences (MD), and 95% confidence intervals
were calculated using RevMan 5.3.
215 ory ratio is a simple bedside index that can
be calculated using routinely measured respiratory varia
216 Diagnostic performance of CT
was calculated using RT-PCR as the reference standard.
217 m 440,526 participants from UK Biobank, eGFR
was calculated using serum creatinine, cystatin C (eGFRc
218 al rate of change in these neural phenotypes
was calculated using SOLAR (Sequential Oligogenic Linkag
219 Phylogenetic community structure metrics
were calculated using species pools that differed in spa
220 All shieldings
are calculated using state-optimized pi-space complete-a
221 disease prevalence and treatment eligibility
were calculated using stochastic simulation and populati
222 s for the development of Alzheimer's disease
were calculated using summary statistics from the larges
223 peak systolic circumferential strain (PSCS)
was calculated using tagging and feature-tracking softwa
224 ceived >/=14 days before delivery; trimester
was calculated using Tdap date, infant's date of birth,
225 ier relaxation times for electrons and holes
are calculated using the Bardeen and Shockley's deformat
226 Expansive growth rates
are calculated using the calculated Pi values and are co
227 constant and the respective half-life could
be calculated using the radioactive decay equations base
228 TER are computed based on the SE of MER that
is calculated using the bootstrap method.
229 % neurite density
is calculated using the normalize local contrast algorit
230 ge-standardized prevalence of retinal emboli
was calculated using the 2010 Singapore adult population
231 Relative survival also
was calculated using the actuarial method.
232 Compound annual growth rate
was calculated using the adjusted data.
233 Predicted morbidity
was calculated using the American College of Surgeons Na
234 Ideal toric axis
was calculated using the back-calculator astigmatismfix.
235 A wearable BCG-based PTT
was calculated using the BCG and photoplethysmogram (PPG
236 Dead space ventilation
was calculated using the Bohr equation.
237 y determining the confidence interval, which
was calculated using the bootstrap re-sampling technique
238 reviously validated Healthy Purchasing Score
was calculated using the cafeteria traffic-light labelin
239 Medical comorbidity burden
was calculated using the Charlson Comorbidity Index-pati
240 CRS/HIPEC caseload affecting the 90-day POM
was calculated using the Chi-squared Automatic Interacti
241 Distribution of RPE melanin
was calculated using the dataset from multi-contrast OCT
242 thermal challenge response (DeltaSBF/DeltaT)
was calculated using the following formula: (SBF37-SBFBT
243 the diaphragm during inspiration (TFdi,max)
was calculated using the following formula: TFdi,max = (
244 SNR
was calculated using the formula: SNR=signal intensity (
245 Overall survival
was calculated using the Kaplan-Meier method with the lo
246 Overall survival
was calculated using the Kaplan-Meier method.
247 years of follow-up; postrecurrence survival
was calculated using the Kaplan-Meier method.
248 The primary endpoint
was calculated using the least squares mean at each time
249 The magnitude of RAPD
was calculated using the log of the ratio of the constri
250 Odds ratio (OR)
was calculated using the Mantel-Haenszel method.
251 ion and estimated glomerular filtration rate
was calculated using the Modification of Diet in Renal D
252 Estimated glomerular filtration rate
was calculated using the Modification of Diet in Renal D
253 PHA
was calculated using the non-laboratory Framingham CVD r
254 Inference
was calculated using the non-parametric bootstrap.
255 Inference
was calculated using the nonparametric bootstrap.
256 Radiation dosimetry
was calculated using the OLINDA/EXM software.
257 Ten-year predicted ASCVD risk
was calculated using the pooled cohort risk equations.
258 Preoperative frailty score
was calculated using the progressive Clinical Frailty Sc
259 abundance across the periodontal phenotypes
was calculated using the R package DESeq2.
260 The risk of lymph node involvement
was calculated using the Roach formula and compared with
261 BPND
was calculated using the simplified reference tissue mod
262 Mean change in DA function over time
was calculated using the slope of linear regression fits
263 d the exchange of water between these layers
was calculated using the van Genuchten equation.
264 For each protocol, a complexity score
was calculated using the variables predicting warfarin d
265 Lung Injury Prediction Score
was calculated using the worst values within the 12 hour
266 s determined and then TVC values (CFU/cm(2))
were calculated using the calibration equation.
267 BPND and SUVR
were calculated using the cerebellar cortex as a referen
268 Nondisplaceable binding potential values
were calculated using the cerebellum as a reference regi
269 lectronic medical records, and complications
were calculated using the Clavien-Dindo classification.
270 pecificity of image grading for plus disease
were calculated using the clinical examination finding a
271 Hazard ratios (HRs)
were calculated using the Cox proportional hazard model
272 vitreal injections relative to those without
were calculated using the Cox proportional hazard model.
273 ULN values
were calculated using the cutoff levels suggested by the
274 Comorbidities
were calculated using the Elixhauser Comorbidity Index.
275 ine) and genome-wide average DNA methylation
were calculated using the HumanMethylation 450 K BeadChi
276 probabilities with 95% confidence intervals
were calculated using the Kaplan-Meier estimator stratif
277 Survival estimates
were calculated using the Kaplan-Meier method, and multi
278 Survival probabilities
were calculated using the Kaplan-Meier method, and the a
279 Survival rates
were calculated using the Kaplan-Meier method.
280 Recurrence-free survivals (RFS)
were calculated using the Kaplan-Meier method.
281 Time-to-event curves
were calculated using the Kaplan-Meier method.
282 fety analyses, odds ratios (ORs) and 95% CIs
were calculated using the Mantel-Haenszel method.
283 GrimAge estimates
were calculated using the methylation age calculator.
284 Radiation doses
were calculated using the OLINDA/EXM software, version 2
285 th respect to the foveal center in both eyes
were calculated using the polar transformation method in
286 HIV genetic distances
were calculated using the polymerase region.
287 Generated weighted means and 99% CIs
were calculated using the reported means (SDs or SEs).
288 Nondisplaceable binding potentials (BPNDs)
were calculated using the simplified reference tissue mo
289 VE estimates
were calculated using the test-negative design.
290 Flow volumes
were calculated using the Water Supply Sustainability In
291 er-arm circumference, and head circumference
were calculated using the WHO 2006 growth standards.
292 d prostate segments, and optimal SUV cutoffs
were calculated using the Youden index for each radiotra
293 tandardized morbidity ratios (SMRs) for 2013
were calculated, using the nondiabetic population as a r
294 substance classes, the relative mass defects
were calculated using theoretical molecular masses.
295 entropy and melting temperature of aluminum
were calculated using this machine learning potential.
296 ignal of global and contralateral hemisphere
was calculated using TSA.
297 In vitro radiopharmaceutical concentrations
were calculated using urine sampling obtained immediatel
298 Transplant wait-listing rates
were calculated using US Renal Data System data.
299 ernate Healthy Eating Index 2010 (AHEI-2010)
were calculated using validated food-frequency questionn
300 body fat (BF) and skeletal muscle mass (SM)
were calculated using validated formulas (including wais