ライフサイエンスコーパス: random error

1 biological research is systematic error, not random error.

2 e studies using strategies to limit bias and random error.

3 rostheses were substantially larger than the random error.

4 asurements, but is limited by systematic and random errors.

5 nt and individual-specific CNVs under normal random errors.

6 ules in the amplified product and introduces random errors.

7 es (so randomization is essential) and small random errors.

8 trategies that can counteract the effects of random errors.

9 rate determination, and much more robust to random errors.

10 ng competing explanations of data containing random errors.

11 f replicates, logarithmic transformation and random error analyses.

12 ived from NOESY spectra using MARDIGRAS with random error analysis.

13 d on: i), > or =20 restraints with up to 15% random error and no systematic error, or ii), > or =20 r

14 or spectral counts can highlight regions of random error and putative change.

15 n this study, we address the problem of both random errors and systematic biases in microarray experi

16 Detection of random errors and systematic biases is a crucial step of

17 ise from a combination of systematic errors, random errors, and possible changes in solar structure.

18 es a data model to adjust for systematic and random errors associated with different data sources.

19 Subsequent reduction of the random errors based on multiple measurements over consec

20 fidence intervals reflect uncertainty due to random error but omit uncertainty due to biases, such as

21 Through the reduction of bias and random error by explicit, reproducible, comprehensive, a

22 tain degree of effect underestimation due to random error cannot be ruled out.

23 cate that this diversity is not dominated by random errors generated during amplification.

24 d the potential to yield false null results (random error in Na assessment, insufficient power).

25 of the relative importance of systematic vs. random error in science.

26 idence measure have included 1) ignoring the random error in T or 2) employing a Bonferroni adjustmen

27 example, the authors found that ignoring the random error in T provides a 95% CI for incidence as muc

28 to be observed and that these shifts are not random error in the measurement.

29 method was developed to allow correction for random error in the reference data when these data had d

30 Including no random error in the simulations, it was estimated that t

31 ly sampling from lognormal distributions for random error in the yearly public water district PFOA co

32 premature responses, regressive errors, and random errors in males and perseverative errors in femal

33 ors developed a simple statistical model for random errors in reported smoking (relative to true toba

34 demonstrate its use to significantly reduce random errors in synthetic DNA.

35 latform significantly reduces systematic and random errors in the measurement by introducing two type

36 d, whereas rats with dorsal CA1 lesions made random errors in the process of completing the sequence

37 a better understanding of the systematic and random error inherent in these coverage indicators can h

38 The first is the introduction of random errors into the genome by the viral polymerase, w

39 er, an automated system, while less prone to random errors introduced by human operators, may have sy

40 nomes, these suffer from the presence of 1-3 random errors/kb of DNA.

41 a bias less than 2.6 percent unit (p.u.) and random error less than 0.7 p.u. respectively.

42 e corrupted physical maps with an introduced random error of +/-6A are able to reconstruct the target

43 associated with fewest covariates and had a random error of 9.5 ms.

44 mass accuracies are normally limited only by random errors of low-abundance analytes, the method maxi

45 Random errors of the determinations relative to full sca

46 The consequences of such non-random errors on association tests for rare variants are

47 for assessing the effects of systematic and random errors on the accuracy and precision of equilibri

48 nt CNV regions associated with either normal random errors or heavily contaminated errors.

49 to 0.14 mm for the Palmaz-Schatz stents; the random error (RE) was 0.03 to 0.14 mm.

50 d pressure may chiefly reflect the impact of random error, selective emphasis of particular results,

51 d distance restraints, including the number, random error, systematic error, distance distribution, a

52 ations, but each of these methods introduces random errors that are difficult to distinguish from gen

53 comparison, SDV was expensive and identified random errors that made little impact on results and cli

54 at divisions are surreptitiously recorded by random errors that occur during replication.

55 number of observations, while averaging out random errors, to predict the curvature at time zero, wh

56 , or ii), > or =20 restraints with up to 15% random error, up to 10% systematic error, and a symmetri

57 correct this omission, an estimator for the random error variance in this situation is developed bas

58 in systolic blood pressure was attributed to random error (visit-to-visit variability); average (cons

59 ch generates long (>16 kilobases) reads with random errors, we assembled 99% (244 megabases) of the O

60 Small random errors were introduced to measured data to examin

61 xplained by unique environmental factors and random error, whereas shared environmental factors playe

62 biohazardous procedure, but also introduces random errors which contribute to variability in viral q

63 the overall evidence) and strict control of random error (which, in general, requires large numbers