ライフサイエンスコーパス: to @1 the robustness of

1 dertook subgroup, sensitivity, and meta-regression analyses to assess the robustness of associations.

2 ion, including comparison against null models, is essential to assess the robustness of projections of marine planktonic

3 We conducted various sensitivity analyses to assess the robustness of the effect estimate, such as inve

4 nistic and probabilistic sensitivity analysis was performed to assess the robustness of the findings.

5 eter uncertainty; univariate sensitivity analyses were used to assess the robustness of the model findings.

6 sion of the parametric analyses of dynamic (18)F-FLT PET/CT to assess the robustness of these methods.

7 Four additional analyses were conducted to assess the robustness of this finding, and they found that

8 was incorporated to improve physicochemical properties and to challenge the robustness of the chemistry.

9 It has the potential to combine the robustness of end-point spatially resolved rea

10 To demonstrate the robustness of [(3)H]RO6957022 binding, aff

11 o laboratories on olive oil (1)H NMR fingerprinting, aiming to demonstrate the robustness of NMR-based metabolomics in ge

12 To demonstrate the robustness of our method, we profiled musc

13 To demonstrate the robustness of this approach, we tested thr

14 The purpose of this systematic review was to determine the robustness of ophthalmology RCTs through app

15 gs, and that validation in an independent dataset is needed to determine the robustness of our survival algorithm.

16 To determine the robustness of this simplification, we compar

17 A sensitivity analysis is a method to determine the robustness of trial findings by examining th

18 There is an urgent need to ensure the robustness of fractional-dose vaccination by el

19 We simulated various degrees of model misspecification to evaluate the robustness of each propensity score (PS) esti

20 cy and reproducibility of 3DE and 2DE have been also tested to evaluate the robustness of our data.

21 Experiments to evaluate the robustness of the embroidered gauze sensor de

22 using the root mean square average coefficient of variation to evaluate the robustness of the method.

23 To evaluate the robustness of the model, we assessed the effe

24 (i) Kennard-Stone, (ii) Duplex, and (iii) Random, in order to evaluate the robustness of the models.

25 ducted deterministic and probabilistic sensitivity analyses to evaluate the robustness of the results.

26 To evaluate the robustness of this definition, outcomes among

27 porosis Foundation and did a series of sensitivity analyses to examine the robustness of DALY estimates.

28 To examine the robustness of estimates, we also used moderate

29 To examine the robustness of our technique, we further perfor

30 ECLAIR uses an ensemble approach to improve the robustness of lineage predictions, and provide

31 The CBPS is a promising method to improve the robustness of PS models.

32 ytoskeleton and adhesion structures and a biophysical model to improve the robustness of the inverse procedure and abolis

33 To increase the robustness of nanoflow HPLC, we have develope

34 To investigate the robustness of these proposed subtype class

35 ty tendency of two disease pairs and the varphi-correlation to measure the robustness of the comorbidity associations.

36 and optogenetic perturbations in the mouse premotor cortex to probe the robustness of persistent neural representations

37 elineate the multidimensional oscillatory domain and use it to quantify the robustness of periodic trajectories.

38 Our study provides a general framework to strengthen the robustness of dynamic activity in diffusive

39 As proof of concept, we have applied the VEPART method to study the robustness of treatment response in a mouse mode

40 nt series of flooding events in Yalong Bay, southern China, to test the robustness of mangroves to sea level changes in r

41 Sensitivity analyses were completed to test the robustness of model results.

42 In addition, multiple sensitivity analyses were performed to test the robustness of our findings.

43 To test the robustness of the estimates, prevalence was also

44 tics of adrenal suppression cohort (n = 391, age: 5-18, UK) to test the robustness of the findings.

45 Sensitivity analyses were run to test the robustness of the model.

46 Sensitivity analyses were conducted to test the robustness of the model.

47 One-way sensitivity analyses were performed to test the robustness of the outcomes.

48 To test the robustness of this finding we examined a second g

49 To validate the robustness of the gene signature, a meta-anal

50 ivity analysis using modified maximum likelihood was needed to verify the robustness of standard estimates, and this appr