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1 they are not, a probability measure regarding the truth of the null hypothesis.
2 s powerful if the covariates could inform the likelihood of the null hypothesis.
3 investigate the extent to which each method is biased under the null hypothesis.
4 er the curve of 0.76 (90% CI, 0.67 to 0.85), which rejected the null hypothesis.
5 amination among clinicians could have biased results toward the null hypothesis.
6 sulting statistic is evaluated using its distribution under the null hypothesis.
7 of the data under the alternative hypothesis to that under the null hypothesis.
8 risk of dialysis, but statistical analyses did not exclude the null hypothesis.
9 th extremely high intelligence than would be expected under the null hypothesis.
10 ingle variant and gene burden analyses were consistent with the null hypothesis.
11 tests and to interpret them as probability statements about the null hypothesis.
12 ment for multiple comparisons resulted in failure to reject the null hypothesis (adjusted p = 0.083 for both outcomes).
13 e is no scientific basis for doing so, as when testing only the null hypothesis; and 3) statistical reification, treating
14 Most available methods detect complex departures from the null hypothesis but lack the ability to identify the spec
15 t there is colocalization, which is not ideal because often the null hypothesis cannot be rejected simply due to limited
16 nterpretation of "non-significant" p-values as evidence for the null hypothesis, failure to account for forms of multiple
17 ogether they achieve a greater fractional kill according to the null hypothesis for both the Loewe dose-additivity model
18 As the upper limit of the 90.4% CI was greater than 1.388 the null hypothesis for the corresponding non-inferiority hyp
20 btain the conditional offspring genotype distribution under the null hypothesis given the sufficient statistic.
21 The primary endpoint was objective response rate (ORR); the null hypothesis (<= 5% ORR) would be rejected within each
23 ion of test statistics is observed from that expected under the null hypothesis of a common autosomal genetic architectur
25 by some or all affected relatives provides evidence against the null hypothesis of complete absence of linkage and associ
26 le of the matrix were substantially lower than predicted by the null hypothesis of equal attraction level (0.44 times).
28 ic mixed model once per GWAS and performs score tests under the null hypothesis of no association between a binary trait
30 of women (permutation P=0.004, median difference 110 under the null hypothesis of no association between sex and phenoty
31 nterim analysis after 219 (41%) deaths had occurred to test the null hypothesis of no efficacy (threshold for rejection p
33 high vaccination rates, there was a lack of power to reject the null hypothesis of no vaccine effect, and that the study
34 es the degree to which the observed data are unusual, given the null hypothesis or other test hypothesis, by translating
35 uch statistical teaching and many research reports focus on the 'null hypothesis significance test'.
37 This study begins to fill this gap in literature by testing the null hypothesis that BP measurement does not vary accordi
38 We used generalized linear models to test the null hypothesis that conditions favorable for recruitment
39 Given the prespecified noninferiority margin of -15%, the null hypothesis that cSEMS is less effective than plastic
40 ession (LR) assumes a convenient mathematical structure for the null hypothesis that however results in both poor detecti
41 e values, by establishing a [Formula: see text] value under the null hypothesis that it was chosen from a stationary dist
42 s proven challenging to reject alternative views, including the null hypothesis that species richness has simply had more
43 Eighty evaluable patients were required to test the null hypothesis that the area under the curve of percenta
44 ier on the walk is significant at [Formula: see text] under the null hypothesis that the state was chosen from a stationa
46 respectively) and produced summary estimates in support of the null hypothesis (that HS does not affect LOS).
47 Furthermore, we show that (i) under the null hypothesis, the limiting distribution of the gLOD is
49 ches rely on the assumption of uniformity of p values under the null hypothesis, which is often not true.
50 is is achieved by using the correlation coefficient to test the null-hypothesis, which avoids the costly computation of i