ライフサイエンスコーパス: model was used to

1 A propensity score-weighted logistic regression model was used to adjust for confounders.

2 The Logarithm of Slope (LOS) kinetic model was used to analyse digestion curves obtained using por

3 This model was used to assess Cre activity in a Rosa Cre-ER backgr

4 Additionally, a stepwise zero-inflated negative binomial model was used to assess predictors of exacerbation count dur

5 -treat analysis with the use of a generalized mixed-effects model was used to assess the effects of iron and MMNs and the

6 The marginal Cox proportional hazards model was used to assess the factors associated with overall

7 Furthermore, the model was used to assess the relative importance of different

8 ds and maximum likelihood estimation of three probabilistic models was used to automatically construct knowledge graphs:

9 A best-worst scaling survey, analyzed by multinomial-logit models, was used to calculate normalized preference scores (0

10 A latent transition analysis model was used to categorize NEI VFQ-25 results and to estima

11 Cox proportional hazards regression model was used to compare overall survival (OS) between RT do

12 clinical variables and a penalised Cox proportional-hazards model, was used to compare method performance.

13 Mathematical modelling was used to create regulatory networks based on wil

14 The Gompertz model was used to describe tumor growth, radiation effect was

15 Non-linear mixed effects modelling was used to describe pharmacokinetic-occupancy curv

16 Molecular modeling was used to design a series of four Gd complexes cap

17 The Johnson-Mehl-Avrami model was used to determine the activation energy for decompo

18 A multivariate proportional hazards model was used to determine the association of isoniazid resi

19 A commonly used infrarenal mouse AAA model was used to determine the target location of these coll

20 e measured with a synchrotron X-ray microprobe, and inverse modeling was used to determine effective diffusion coefficien

21 Markov modeling was used to determine the likelihood of progression

22 Whole-brain computational modeling was used to disclose the effects of DBS during resti

23 A generalized linear mixed-effects model was used to distinguish LCI changes associated with nor

24 Structural modeling was used to elucidate the mechanistic basis for the

25 A proportional hazards regression model was used to estimate hazard ratios (HRs) and 95% CIs fo

26 A microenvironmental exposure model was used to estimate the contribution of a 70 min metro

27 Radiologist reliability was assessed by kappa; a Hui-Walter model was used to estimate, after accounting for diagnostic d

28 Poisson modeling was used to estimate the mortality rate ratio (MRR)

29 A Cox model was used to examine and identify predictors of SCD.

30 A facility-level fixed-effects quasi-Poisson regression model was used to examine the incidence of urinalysis and uri

31 Logistic regression modeling was used to examine associations between each covari

32 Cox proportional hazards regression modeling was used to examine the independent association betw

33 Finally, computational modelling was used to explain the SARs of certain key compoun

34 Moreover, a computational model was used to explore the physiological processes underly

35 Molecular modelling was used to explore the interaction of the CD38 cat

36 A murine transgenerational asthma model was used to identify involved pathways.

37 First, the random effects output of the hierarchical model was used to identify outlier hospitals where the odds o

38 A hierarchical logistic regression model was used to identify predictors of delayed fixation.

39 nd among this cohort, a Cox proportional hazards regression model was used to identify predictors of survival.

40 A hierarchical switching state-space model was used to identify transiting and area-restricted sea

41 Spline modeling was used to identify the different annual-caseload t

42 Group-based trajectory modeling was used to identify unique asthma trajectories.

43 Multivariable logistic regression modelling was used to identify predictors of safe discharge,

44 Linear regression modelling was used to investigate the overall associations be

45 A rat heroin self-administration model was used to obtain translational molecular and behavior

46 This model was used to predict responses to different calcium sign

47 Furthermore, PLS regression model was used to quantify the levels of adulteration from, 0

48 A Cox multivariable model was used to select from among a list of 22 variables th

49 An existing MU population model was used to simulate MU firing rates and isometric musc

50 A coupled model was used to test alternative hypothesized controls on w