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1                                    The model was fitted to 180 data points of electron paramagnetic r
2                                        These are fitted to 25 years of survey data for breeding adult
3 ARAFAC) and the resulting model ("FluorMod") was fit to 516 EEMs measured in surface waters from the
4 th a donor attached at the substrate surface are fit to a combined Taylor-Aris-Fickian mass transport
5                             Binding profiles are fit to a competitive surface exchange model which re
6  concentration of the varied binding partner are fitted to a quadratic binding equation to give the a
7                                     The data are fitted to a standard form of the logistic equation,
8 e dose-response curve for many receptors can be fit to a Boltzmann or Hill equation, this property pr
9 h temperature paramagnetic behavior that can be fit to a Brillouin function with weak low temperature
10  enables translocation time distributions to be fit to a first-passage time distribution derived from
11                Clamp opening reactions could be fit to a minimal three-step 'bind-open-lock' model in
12  kinetics over wide ranges of parameters can be fit to a single exponential, with the apparent rate c
13  changing on the millisecond timescale could be fitted to a model based on protonation-dependent chem
14 ptor concentration and the rate curves could be fitted to a second order rate equation.
15 r the common situation in which a risk model is fitted to a data set with and without the new, candid
16               The time-resolved dissociation is fitted to a one-component exponential decay model, fr
17 hylcoumarin (Z-GPR-AMC) substrate hydrolysis was fit to a computational model of enzyme kinetics.
18                        The frequency of PMGF was fit to a double exponential decay model selected by
19                     Signal intensity buildup was fit to a recursive model that regionally solves for
20                                This response was fit to a simple surface diffusion model, which yield
21                      Each luminescence image was fit to a three-dipole emission model to generate fit
22                      Anthocyanin degradation was fitted to a first-order model.
23                 The small animal PET scanner was fitted to a mechanical device that raised and tilted
24           The distribution of dimer on-times was fitted to a monoexponential to extract dimer off-rat
25 nce liquid chromatography-mass spectrometry, were fit to a 7-compartment model.
26                                     The data were fit to a four-phase equilibrium partitioning model
27                                 Elution data were fit to a Higuchi model, and the diffusion constant
28                                   The scores were fit to a linear mixed-effects model with intercepts
29                                         Data were fit to a modified Hill equation for each individual
30  size distributions prepared from these data were fit to a new model that accurately describes the di
31                            Scattering curves were fit to a thermodynamically curated library of assem
32             IR and CD temperature variations were fit to a two-state model that yielded lower T(m) va
33 itration data for the protein immobilization were fitted to a 1:1 Langmuir-type model, yielding K(LM)
34         Generalised linear regression models were fitted to a dataset of the locations of yellow feve
35                            Experimental data were fitted to a kinetic model considering both the oxyg
36                      Pharmacokinetic studies were fitted to a linear, 2-compartment model in which do
37 e extended Glasgow outcome scale at 6 months were fitted to a multivariate model by ordinal regressio
38           Results of dielectric spectroscopy were fitted to a pair of nine-state models that accounte
39               The experimental data obtained were fitted to a second-order polynomial equation using
40                         Experimental results were fitted to a second-order polynomial model where reg
41                  Individual model parameters were fitted to a series (n= 12) of planar gamma-camera a
42 with optically pure MA samples, and the data were fitted to a simultaneous 1:1 and 2:1 binding model,
43  Energy contours for both lectin-sugar bonds were fitted to a two-barrier model, suggesting a conform
44                      A psychometric function was fitted to accuracy data for each individual revealin
45 nitrobenzofurazan electrophiles with H2S can be fit to accurately quantify H2S.
46 case reports from Uganda, and the cost model was fitted to administrative data from the Ugandan Expan
47                                    The model is fitted to age-stratified data from 23 sites in Africa
48 tates, and how time series regression models are fitted to all points of acceptable quality to establ
49           A Tweedie (compound Poisson) model was fitted to allow for zero inflation and overdispersio
50      While the equilibrium phase diagram can be fit to an analytical theory, a more advanced model is
51  two-step crystallisation profile that could be fitted to an exponential-Gompertz equation.
52 versible" and "quasi-reversible" models have been fitted to an extensive series of a.c. voltammetric
53 hen the entire rabbit dose-response data set was fitted to an exponential dose-response (EDR) model.
54 of (99m)Tc concentration in solution vs time were fitted to an analytic function that accounts for bo
55                           The impedance data were fitted to an equivalent circuit consisting of a ser
56                  Linear mixed-effects models were fit to analyze the effect of florbetapir SUVr on st
57   Multilevel mixed-effects regression models were fitted to analyze change in outcomes over time.
58 thin heterogeneous cellular environments can be fit to anomalous diffusion models with adjustable ano
59                                         Data were fitted to appropriate models and prediction equatio
60                       A Cox regression model was fitted to ascertain the all-cause mortality risk ass
61              Conditional logistic regression was fit to assess the effect of asthma status on the ris
62                                   Model data were fit to assess questionnaire dimensionality, to esti
63              Cox proportional hazards models were fit to assess the independent prognostic value and
64                            Regression models were fit to assess the predictive value of wCST-LL and c
65                                 Mixed models were fit to assess trends in outcomes after adjustment f
66                            Regression models were fitted to assess association between residing in fo
67              Cox proportional hazards models were fitted to assess associations of asthma history wit
68     Multivariable-adjusted regression models were fitted to assess associations of measures of religi
69                  Linear mixed-effects models were fitted to assess relationships between AAP exposure
70                      Mixed-effect Cox models were fitted to assess survival following lung transplant
71 e of standard clinical variables) Cox models were fitted to assess time to cancer progression, define
72                                   Cox models were fitted to associate HDP with incident cardiovascula
73                                    The model was fitted to available data on disease incidence and al
74 s ordinary differential equation model could be fit to both inflammatory and physiologic data in the
75            The NBMM is very flexible and can be fitted to both unreplicated and replicated time cours
76 mixed models adjusted for age, sex, and race were fit to calculate county-specific risk-standardized
77              Cox proportional hazards models were fitted to calculate hazard ratios for associations
78          Multiple logistic regression models were fitted to calculate odds ratios and 95% confidence
79 stratum, a multivariable mixed-effects model was fit to characterize associations between observation
80     Multivariable logistic regression models were fit to compare performance metrics in the DM versus
81  random-effects and nonproportional hazards) were fitted to compare overall survival of patients who
82 ar mixed-effects models with quadratic terms were fitted to compare TRT of nerve-crushed and control
83                       The displacement field was fit to continuous and differentiable analytical func
84 ity as observed in the visual cortex and can be fit to data from many cortical areas, uncovering the
85                   This speed allows GDDMs to be fit to data using maximum likelihood on the full resp
86 ation, without requiring model parameters to be fitted to data.
87 t first fully characterized, prior to models being fit to data.
88 activity in which a reaction-diffusion model is fit to data on (18)O removal from inorganic carbon.
89                                 If the model is fit to data with the lowest number of cells and is us
90 is transmission model among FSWs and clients was fitted to data from Yunnan Province (FSW syphilis pr
91                          Mathematical models were fit to data collected between 1990 and the start of
92 eralization criterion method: the parameters were fit to data from one set of time intervals, and the
93             Mathematical transmission models were fit to data that compared the pattern of confirmed
94                                    Our model is fitted to density-functional theory plus many-body di
95                    A linear regression model was fitted to derive independent correlates of ATI week
96 ith a second-degree polynomial term, a model was fit to describe the relationship between locus-speci
97          Multivariable Cox regression models were fit to determine risk factors for ESKD and death.
98       Multinomial logistic regression models were fit to determine the association between OSA severi
99              Cox proportional hazards models were fit to determine the association of tumor size and
100                   Logistic regression models were fit to determine the associations between BRCA stat
101 ing weight-adjusted multivariate regressions were fitted to determine predictors of screening among m
102              Cox proportional hazards models were fitted to determine the association between BB inta
103                   Logistic regression models were fitted to determine the association with subsequent
104                    Poisson regression models were fitted to determine the effect of iron status on th
105              Cox proportional hazards models were fitted to determine the independent association of
106                       Association models can be fitted to different subsets of variants in a locus an
107 tu measurements in two lakes, kinetic models were fit to DO microprofiles using zero-order and first-
108                  A Michaelis-Menten function was fit to each cell's contrast responses to assess cont
109 munity acquisition, a transmission intensity was fit to each household based on neighborhood age-depe
110                Gamma distribution parameters were fit to each inter-spindle interval distribution, an
111 ented linear and exponential decay functions were fit to each RNFL-versus-time series to determine th
112                                  The devices were fitted to each participant and used during testing
113  two-compartment, open-pharmacokinetic model were fitted to each subject's daptomycin concentration-t
114                            The cost function was fitted to economic cost data collected as part of a
115                                        These were fit to either single- or double-exponential functio
116 ntal data obtained during the drying process were fitted to eleven different mathematical models.
117                          Logistic regression was fitted to establish the relationship between cluster
118                           An ecosystem model was fit to estimate effects of phosphorus (P) load, plan
119 ate of accommodation, a random effects model was fitted to estimate differences between healthy eyes
120     A multivariate logistic regression model was fitted to estimate relationships between patient cha
121                       A Cox regression model was fitted to estimate the association between procedure
122                A Bayesian hierarchical model was fitted to estimate the false-negative rate by day si
123               Cox proportional hazard models were fit to estimate hazard ratios (HRs) describing the
124            Population pharmacokinetic models were fit to estimate steady-state concentrations and cre
125                          Linear mixed models were fit to estimate the associations between urinary co
126            Multiple linear regression models were fit to estimate the DAP-IQ associations and PON1 in
127                   Logistic regression models were fit to estimate the relationship between patients'
128                   Multiple regression models were fitted to estimate genetic effects on loge(CAC+1) a
129       Multivariate Poisson regression models were fitted to estimate incidence rate ratios (IRRs).
130                   Logistic regression models were fitted to estimate odds ratios with confidence inte
131                      Cox multivariate models were fitted to estimate the effect of donor CMV serologi
132 ses were performed, and multivariable models were fitted to estimate the independent effect of each f
133 Penalized maximum logistic regression models were fitted to estimate the likelihood of neurologic rec
134                   Logistic regression models were fit to evaluate associations between patient charac
135 HEU, multivariable Poisson regression models were fit to evaluate associations of maternal HIV factor
136     Weighted Cox proportional hazards models were fit to evaluate the association between scoring met
137 nd tooth-specific logistic regression models were fit to evaluate the association between smoking and
138              Cox proportional hazards models were fit to evaluate the association of statin use with
139 HEU, multivariable Poisson regression models were fitted to evaluate associations of maternal HIV fac
140    Linear mixed models with random intercept were fitted to evaluate test-retest differences in multi
141            Multiple linear regression models were fitted to evaluate the association among different
142 riable logistic and linear regression models were fitted to evaluate the association between dietary
143       Multivariable mixed-effects Cox models were fitted to evaluate the influence of depression on a
144                        Cox regression models were fitted to evaluate the prognostic value of T-cell a
145 ultivariable Cox proportional hazards models were fitted to evaluate the risk of NODAT as a function
146       Multivariable linear regression models were fit to examine chemical-BCG associations among appr
147              Mixed-effects regression models were fit to examine demographic predictors of paraben co
148 estimating equation linear regression models were fit to examine hemoglobin increments after RBC tran
149 omial logistic and Poisson regression models were fit to examine the associations between SNAP partic
150              Mixed Poisson regression models were fitted to examine associations with neighbourhood d
151                Multivariable logistic models were fitted to examine the effects of pain management an
152  competing risks proportional hazards models were fitted to examine the relation of age at natural me
153                                    The model is fit to experimental data for young and old mice infec
154                   An IKs computational model was fit to experimental data for each mutation, and the
155                                    The model was fit to experimental measurements of Aktp308, total A
156   The values for the parameters of the model were fit to experimental data for the wild-type organism
157 electric continuum models, and no parameters were fit to experimental data.
158 rfaces, K(min/air), at 60% relative humidity were fitted to experimental data and extrapolated to oth
159 ergy budget applied to toxicity data) models were fitted to experimental data.
160 tional models incorporating SMP complexation were fitted to experimental results.
161 Repeated measures logistic regression models were fitted to explore the association between REM sleep
162        Remarkably, we show that the CBEM can be fit to extracellular spike train data and then used t
163             The degradation reaction results were fitted to first-order kinetic equations with respec
164                       The LNL isotherm model is fit to four data sets composed of various chemicals s
165                                 Those models were fitted to four data sets and compared using a Bayes
166  Subsequently, OM with fixed K(A) and E(MAX) is fitted to functional response data to obtain tau.
167     In classical pharmacology, bioassay data are fit to general equations (e.g. the dose response equ
168 ical receiver operating characteristic curve was fitted to generate summary estimates of sensitivity
169 toire as input to a detector function, which is fit to give the correct diagnosis for each patient us
170                  Linear mixed-effects models were fitted to global and quadrant thicknesses, taking i
171 n ecology, where flexible, non-linear models are fitted to high-dimensional data.
172                       When the complex model was fit to HIV prevalence data, large differences in the
173    A multivariable logistic regression model was fit to identify predictors of readmissions.
174                 Multivariable Poisson models were fit to identify factors associated with incident hy
175              Cox proportional hazards models were fit to identify whether size measurements increased
176             Random-effects regression models were fitted to identify predictors of outcome and differ
177 ts are obtained for real data when the model is fitted to imaging data on Cry1, a key gene involved i
178                                    The model is fit to in vivo basilar membrane motion with one free
179              Cox proportional hazards models were fitted to investigate factors associated with tuber
180               Longitudinal regression models were fitted to investigate the independent effects of ch
181        Multilevel logistic regression models were fitted to investigate the relationship between comm
182                      Smoothing spline curves were fitted to investigate the relationship between func
183                   Models including both SNPs were fitted to investigate whether the SNP effects were
184 s curves for the appearance of intermediates were fit to kinetic models.
185                  The Upstream module outputs were fitted to kinetic data on cGMP activity and early m
186                                         Data were fitted to logistic models to derive instantaneous g
187       Conditional logistic regression models were fitted to longitudinally explore the association be
188               Cox proportional hazard models were fit to MCCV training samples using Elastic-Net.
189             Mono- or biexponential functions were fitted to measured data in 54 kidneys, 25 livers, 2
190 yme in the presence of 0-10 mM NaF, and data were fit to Michaelis-Menten curves.
191 and an exponential random graph model (ERGM) was fitted to model the network.
192 ne side chains in free and HAP-adsorbed SN15 are fitted to models where the side chains are assumed t
193 e exhibited extreme curvature that could not be fit to models for one- or multiple-proton transfers i
194                          The scattering data were fitted to models, which took into account the atomi
195               A series of harmonic functions is fitted to Moderate Resolution Imaging Spectroradiomet
196                  Extrinsic fluorescence data were fitted to modified Scatchard model yielding the fol
197 tions with realistic biophysical models that were fit to new and previously published single molecule
198               Inverse gaussian distributions were fitted to observed annual rates of relapse and rein
199 onal, extra-axonal, and free water diffusion was fitted to obtain estimates of axon diameter and dens
200           Modified Poisson regression models were fit to obtain relative risks (RRs) for associations
201 infrared measurements obtained at pH 5 and 7 were fitted to obtain spectra of kinetic intermediates,
202 e effects of all 12 mixture treatments could be fitted to one sigmoidal exposure-response relationshi
203 ing for two-state and three-state mechanisms were fitted to our previously reported simultaneous real
204                           The current traces were fitted to parametrized master equations.
205 listic model of transcription dynamics which is fitted to pol-II occupancy time course data measured
206                     Linear regression models were fitted to population-based data on hospitalizations
207 ompletion of preventive therapy (or placebo) was fitted to posttherapy tuberculosis rates to estimate
208             A Cox proportional hazards model was fit to predict death after CABG surgery using prepro
209             A Cox proportional hazards model was fit to predict death after PCI using the derivation
210                  A logistic regression model was fit to predict the probability of receiving an off-p
211 ed encounters, time-series regression models were fitted to predict the number of unspecified gastroe
212      Model parameters governing wall tension are fit to pressure and diameter data from porcine retin
213                                  Simulations were fitted to previously published experimental data of
214                                    The model was fitted to published datasets collected in an endemic
215 otal oxidation (TOTOX) of encapsulated SDASO were fitted to quadratic models.
216          Custom-made hydrogel contact lenses were fitted to rats after incubation in P. aeruginosa ap
217 and test predictive kinetic schemes that can be fit to real transcription elongation data.
218 r properties and behavior, and a model often is fitted to represent an ideal average.
219          A linear segmented regression model was fit to serial viral load (VL) measurements to charac
220                                         Data were fitted to sigmoid E(max) models to obtain 24 hour-a
221 on, biophysically based computational models are fitted to simulate experimentally recorded phenotype
222             A multi-state Markov (MSM) model was fit to simultaneously assess the ox-LDL relationship
223                                    The model was fitted to six population-based survey data collected
224 ated by means of deconvolution and the model was fitted to six region-of-interest curves.
225 ass index-adjusted) linear regression models were fitted to study the association between KTR and BMD
226                            Regression models were fit to summary measurements, and changes were model
227                   Bayesian regression models were fitted to survival outcomes and electrocardiograph
228                     Linear regression models were fitted to test for a linear trend across quartiles
229  the specific and nonspecific binding events are fit to the apparent binding constants obtained from
230 n method in which finite element simulations are fitted to the experimental results.
231 ficant because all leaflet constitutive laws are fitted to the same set of experimental data.
232 ent CO2 and H2O adsorption experimental data are fitted to the Toth and Guggenheim-Anderson-de Boer m
233 nalysis yields analytical functions that can be fitted to the experimental data to recover the phenom
234                     The modeled [Cu2+] could be fitted to the experimental values better after the co
235       In both environments, the kinetics can be fitted to the functional form exp[-(t/tau)(beta)].
236 hione; Cu(I)-cysteine; and, Cu(II)-histidine being fitted to the sample spectra.
237  methods when the model scattering intensity is fitted to the experimental data.
238                      A drift diffusion model was fit to the behavioral data to extract estimates of s
239                         A mathematical model was fit to the data to identify drug interactions for ef
240 otal vitamin D intake (diet and supplements) was fit to the data.
241                         A linear mixed model was fit to the data.
242 ys and a high-dimensional mathematical model was fit to the data.
243                           Then, a NLME model was fit to the drug response data, with the estimated ra
244 The Kaplan-Meier estimate of 2-year survival was fit to the exponential distribution and used to calc
245                    A triexponential function was fit to the gamma-counter blood data and used to esti
246                 Probability density function was fit to the joint distribution by using principle com
247           An action-value learning algorithm was fit to the observed behavior, then used within funct
248       A suite of inactivation kinetic models was fit to the viral inactivation data.
249 l of motor adaptation with multiple memories was fitted to the behavioral data to generate time-varyi
250  using a generalized linear mixed model that was fitted to the binary outcome of cocaine-positive scr
251                                    The model was fitted to the concentrations of amitriptyline in pla
252  in frequency, a Poisson mixed effects model was fitted to the count of number of yawn and simple mou
253            An additive inhibitory Emax model was fitted to the data on bacterial population growth in
254 egative binomial log linear regression model was fitted to the data to investigate length of stay ove
255                      A formal exemplar model was fitted to the data to track the changes in parameter
256                    A 2-parameter sigmoid fit was fitted to the data, and a significant correlation be
257         A multilevel negative binomial model was fitted to the data, which showed that the winter sea
258 child dyads, a stochastic transmission model was fitted to the data.
259 ed, and a final model with two rating scales was fitted to the data.
260 %) The dissipation of the fungicide residues was fitted to the experimental data assuming pseudo firs
261          Elevation of the second measurement was fitted to the first measurement by calculating using
262                               A cosine curve was fitted to the IOP data and the stability of individu
263 ples were collected consecutively and a line was fitted to the measured concentrations.
264 mployed to construct a scattering model that was fitted to the measured intensity distributions to es
265                 A 2-tissue-compartment model was fitted to the PET data, using metabolite-corrected p
266               A logistic power peak function was fitted to the single-tumor size histogram, with the
267                                    The model was fitted to the test results for the rates of dissolut
268 luxes in the soil and sediments model (DIFS) was fitted to the time series of DGT deployments (1-240
269                              A sigmoid curve was fitted to the transition zone between layer VI and u
270                   Cumulative Gaussian curves were fit to the data, first assuming a 5% false-negative
271     Elastic and reduced relaxation functions were fit to the data, from which a QLV model was assembl
272 ized additive models with thin-plate splines were fit to the data.
273 rdial contrast echocardiography kinetic data were fit to the equation y=A(1-e(-betat)) to quantify fu
274 , and acetone and by varying the temperature were fit to the kinetic model corresponding to the propo
275 odels, Lyman, Logistic, Weibull and Poisson, were fit to the population data.
276 quares discriminant analysis (PLS-DA) models were fitted to the data to classify lamb meat and fat sa
277                             Catalytic models were fitted to the data using Bayesian methods, incorpor
278 for the interval censoring in some exposures were fitted to the data.
279 sag model to account for the spatial effects were fitted to the data.
280 reundlich, and Langmuir-Freundlich isotherms were fitted to the epitope sorption data.
281                         Transport parameters were fitted to the experimental data using a one-dimensi
282                         The model parameters were fitted to the extensive matrix of steady-state data
283               The experimental data obtained were fitted to the model with 14 elementary linked react
284   Accordingly, quadratic second-order models were fitted to the SD and tensile strength responses; wh
285  worldwide, plant level CO2 emission factors were fitted to the selected predictors by a multiple lin
286  model, Ogden model and Mooney-Rivlin model) were fitted to the stress-strain curves obtained in the
287                          Log-logistic models were fitted to the survival distributions in the SQUIRE
288                           Exponential curves were fitted to the time-activity-data, and time and mass
289 l (BP(ND)), and 1- and 2-site binding curves were fitted to these data to measure (11)C-LY2795050 bin
290              Coordinate data (x,y) of shapes were fit to third-order polynomials for two sessions, si
291                 A nonlinear regression model was fit to total vitamin D intake and postintervention s
292 nd structures and the length of BNNTs, could be fitted to two growth modes, and the open-end growth m
293                                   The models were fit to two data sets for which the true initial tar
294                         Accordingly, spectra were fit to two log-normal distributions.
295                                  Simulations were fit to two measures of release, evoked by flash-pho
296  patients with submucosal adenocarcinoma who are fit to undergo the procedure.
297       Crossed hierarchical regression models were fit to understand case-mixed adjusted variation in
298 ct of Assam tea extract (ATE) and whether it is fit to utilise ATE by fortification in rice bran brea
299                                    The model is fit to viral load data from eight (donor) monkeys inf
300                                    The model was fitted to workforce HIV prevalence and separation da

 
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