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1 tor provided strong evidence in favor of the null hypothesis.
2 tion of clusters that are expected under the null hypothesis.
3 eals considerable evidential support for the null hypothesis.
4 factors that provided strong support for the null hypothesis.
5 complete response allowing rejection of the null hypothesis.
6 The mathematical model plays the role of a null hypothesis.
7 ependent of the selection criteria under the null hypothesis.
8 tions from asymptotic expectations under the null hypothesis.
9 differences with expected value 0 under the null hypothesis.
10 ret them as probability statements about the null hypothesis.
11 bability, by considering it in relation to a null hypothesis.
12 , as predicted by the traditional ecological null hypothesis.
13 ances better than the much more parsimonious null hypothesis.
14 o determine the level of significance of the null hypothesis.
15 nt of the observed linkage signal, under the null hypothesis.
16 type I error and erroneous rejection of the null hypothesis.
17 obability measure regarding the truth of the null hypothesis.
18 of "normal behavior"--that is, it requires a null hypothesis.
19 comparing the likelihood ratio to that of a null hypothesis.
20 Performing a statistical test requires a null hypothesis.
21 ihood-ratio test (LRT) of the no-interaction null hypothesis.
22 ence hypothesis but is inconsistent with the null hypothesis.
23 sured medical outcome rate ratios toward the null hypothesis.
24 clusive evidence as evidence in favor of the null hypothesis.
25 s greatly overstate the evidence against the null hypothesis.
26 controls, the efficiency is only 1/6 on the null hypothesis.
27 ovariates could inform the likelihood of the null hypothesis.
28 icated anecdotal to moderate support for the null hypothesis.
29 sted against those expected under a suitable null hypothesis.
30 which we can estimate a distribution under a null hypothesis.
31 ent to which each method is biased under the null hypothesis.
32 6 (90% CI, 0.67 to 0.85), which rejected the null hypothesis.
33 nicians could have biased results toward the null hypothesis.
34 the alternative hypothesis to that under the null hypothesis.
35 s evaluated using its distribution under the null hypothesis.
36 but statistical analyses did not exclude the null hypothesis.
37 ntelligence than would be expected under the null hypothesis.
38 ene burden analyses were consistent with the null hypothesis.
39 y significant rejection of the local-realist null hypothesis.
40 rly restrictive assumptions and an incorrect null hypothesis?
41 ted with a higher likelihood of refuting the null hypothesis (0.13 [95% CI, 0.01 to 0.25]; P = .03).
44 bound of the one-sided 95% CI 33%), thus the null hypothesis (40% pathological complete response) cou
46 nvalues of the correlation matrix against a "null hypothesis"--a truly random correlation matrix obta
47 tment effects on survival will be based on a null hypothesis (absence of effects) and an alternative
48 ected; negative reports defined as P < 0.05, null hypothesis accepted; and inconclusive reports defin
49 omparisons resulted in failure to reject the null hypothesis (adjusted p = 0.083 for both outcomes).
50 metric statistical methods testing a complex null hypothesis against specific alternatives, such as d
52 The hypergeometric distribution constitutes null hypothesis-all peptide matches to a tandem mass spe
53 lity that the test statistic will reject the null hypothesis and mortality will simultaneously show i
54 es show correct type I error rates under the null hypothesis and robust statistical power under alter
55 of more than 25% was required to reject the null hypothesis and show improvement, on the basis of re
56 greater than 60% was required to reject the null hypothesis and show significant improvement in 1-ye
57 ped measure of exchangeability to evaluate a null hypothesis and two alternative hypotheses about the
58 enotype data for trios are simulated under a null hypothesis and under an alternative (power) hypothe
59 features allows one to construct a tailored null hypothesis and use it for evaluating the accuracy o
60 approximately normal distribution under the null hypothesis, and extreme negative values correspond
61 s: 1) length bias that exists even under the null hypothesis; and 2) loss of efficiency when exposure
62 basis for doing so, as when testing only the null hypothesis; and 3) statistical reification, treatin
63 tically it has a chi2 distribution under the null hypothesis; and exact P values can be easily comput
64 ches that involve the use of the traditional null hypothesis approach and statistically validated rep
66 dian test statistics than expected under the null hypothesis assuming no predictive power (p<0.01, bo
67 ent single hypothesis tests with the overall null hypothesis assuming that all single hypotheses are
71 er/test pairs that are independent under the null hypothesis but correlated under the alternative-is
72 e methods detect complex departures from the null hypothesis but lack the ability to identify the spe
73 t of them detect complex departures from the null hypothesis but when the null hypothesis is rejected
75 tribution of alleles allows rejection of the null hypothesis, but relatively small deviations from th
76 zation, which is not ideal because often the null hypothesis cannot be rejected simply due to limited
79 We show that testability of the ontological null hypothesis derives from an experimental concept, ex
80 and locus-specific genotyping, based on the null-hypothesis distribution of the LOD-score statistic
81 tiple comparisons was performed by computing null hypothesis distributions from 10000 Monte Carlo sim
82 ough there was no clear evidence against the null hypothesis, drug dependence (beta = -0.27, P = 0.58
85 on-significant" p-values as evidence for the null hypothesis, failure to account for forms of multipl
87 e a greater fractional kill according to the null hypothesis for both the Loewe dose-additivity model
88 c cluster sizes and may therefore serve as a null hypothesis for cluster sizes under simple epidemiol
90 osition to contribute to the definition of a null hypothesis for developmental evolution: in other wo
92 some cases, it should not be accepted as the null hypothesis for explaining features of host-symbiont
95 from this pattern involves rejection of the null hypothesis for roughly the last 75 million years fo
96 iversity and biogeography provides a dynamic null hypothesis for the assembly of natural communities.
97 t of the 90.4% CI was greater than 1.388 the null hypothesis for the corresponding non-inferiority hy
99 resulted in a failure to reject the CDM as a null hypothesis for the molecular evolution of COI and c
100 = 0.58), which was sufficient to reject the null hypothesis for the primary end point (stratified lo
107 a highly restrictive characterization of the null hypothesis in Hwang et al. and Foppa and Spiegelman
109 The probability of falsely rejecting the null hypothesis increased with increasing sample size, a
110 ce imaging, we often need to test an overall null hypothesis involving a large number of single hypot
112 out most of the Phanerozoic, the random-walk null hypothesis is not rejected for marine diversity, ac
113 to find the subset of pathways for which the null hypothesis is rejected and second, apply MST-based
114 rtures from the null hypothesis but when the null hypothesis is rejected, the specific alternative le
119 point was objective response rate (ORR); the null hypothesis (<= 5% ORR) would be rejected within eac
120 sample sizes results in the rejection of the null hypothesis, making it not meaningful in this specif
121 E implicitly assumes a markedly conservative null-hypothesis model, and we present a new random-effec
125 e significantly higher than the prespecified null hypothesis of 40% (P = 0.02 and P = 0.005, respecti
126 was 20.6% (95% CI 8.3-32.9; p=0.0002 vs the null hypothesis of 44%) in the niraparib plus nivolumab
129 ics is observed from that expected under the null hypothesis of a common autosomal genetic architectu
130 family member-provides evidence against the null hypothesis of a complete absence of linkage and ass
131 ce for a subset of these species allowed the null hypothesis of a congruent phylogeny to be rejected
134 cted relatives provides evidence against the null hypothesis of complete absence of linkage and assoc
135 orphic sites on both the power to reject the null hypothesis of constant population size and the prop
136 more powerful to detect departures from the null hypothesis of constant population size than other m
137 re substantially lower than predicted by the null hypothesis of equal attraction level (0.44 times).
140 and study month as covariates supported the null hypothesis of equal variant distributions between v
144 red by 5.5 points (not significant), and the null hypothesis of more than minimal IPT inferiority was
146 f the proteins surveyed failed to reject the null hypothesis of neutral substitutions among surface r
148 e distributions of Q(ST) and F(ST) under the null hypothesis of neutrality will depend on species-spe
150 trate the validity of the APL test under the null hypothesis of no association and show that the test
151 per GWAS and performs score tests under the null hypothesis of no association between a binary trait
153 ation when early evidence suggested that the null hypothesis of no association between genotype and d
154 ion P=0.004, median difference 110 under the null hypothesis of no association between sex and phenot
155 s to a bias in the score statistic under the null hypothesis of no association between the marker and
156 estimates which can be biased away from the null hypothesis of no association by 22%-39%, even for s
157 The statistics give valid chi2 tests of the null hypothesis of no association or no linkage and gene
158 than expected theoretically under the global null hypothesis of no association, and 128 SNPs had evid
159 ternative, yet it remains unbiased under the null hypothesis of no causal effect; the maximum likelih
161 esis of no linkage with either trait and the null hypothesis of no contribution of the locus to the c
163 kage procedures can show a "bias" toward the null hypothesis of no effect when there is incomplete in
164 er 219 (41%) deaths had occurred to test the null hypothesis of no efficacy (threshold for rejection
166 stribution of the Pleiotropy Index under the null hypothesis of no genotype-phenotype association.
167 n of Gaussian regression residuals under the null hypothesis of no interaction; shows how their appro
168 approximately 0.01) than expected under the null hypothesis of no linkage across the LOD score range
169 to assess genomewide significance under the null hypothesis of no linkage and to evaluate true-posit
172 s a chi(2) distribution with 1 df, under the null hypothesis of no linkage or linkage disequilibrium
173 linkage analyses strongly rejected both the null hypothesis of no linkage with either trait and the
175 is a simple 2-step procedure for testing the null hypothesis of no multiplicative interaction against
177 ation events from a tree estimated under the null hypothesis of no recombination, we also reveal some
180 tes, there was a lack of power to reject the null hypothesis of no vaccine effect, and that the study
181 ropy, so that the erroneous rejection of the null hypothesis of pleiotropy only happens at a frequenc
183 months in the as-enrolled population, with a null hypothesis of progression-free survival at 4 months
189 multisensory responses evaluated against the null hypothesis of simple summation of unisensory influe
190 ajority of dendrites we could not reject the null hypothesis of spatial randomness in spine locations
193 in spine and hip bone mineral density with a null hypothesis of zero between-group difference tested
194 nce rate (FER) as the probability, under the null hypothesis, of observing a hypothetical future P va
195 ich the observed data are unusual, given the null hypothesis or other test hypothesis, by translating
196 e length of the protein in the database (the null hypothesis) or the hypergeometric probability score
197 Simon two-stage design was used to compare a null hypothesis OS3 of 18% against an alternative of 43%
198 Simon two-stage design is used to compare a null hypothesis OS3 of 18% against an alternative of 44%
199 Moreover, the thermodynamically generated null hypothesis outperforms the statistical one due to i
202 Many recent studies have used tests of the null hypothesis Q(ST) = F(ST) to identify diversifying o
203 Positive reports were defined as P < 0.05, null hypothesis rejected; negative reports defined as P
204 age period between exposures, even under the null hypothesis, resulting in a systematic downward bias
210 n of results for further evaluation based on null hypothesis significance testing is doomed to yield
211 s a primary culprit, which is the culture of null hypothesis significance testing that dominates stat
214 alue, aggregate peptide intensities, perform null hypothesis significance tests and select the most l
215 ditional alpha = 0.05 significance level for null hypothesis significance tests makes assumptions abo
221 e then use network modelling and statistical null-hypothesis testing to show the presence of non-rand
226 o fill this gap in literature by testing the null hypothesis that BP measurement does not vary accord
227 With a Wilcoxon signed rank procedure, the null hypothesis that comfort ratings were symmetric abou
228 e used generalized linear models to test the null hypothesis that conditions favorable for recruitmen
229 specified noninferiority margin of -15%, the null hypothesis that cSEMS is less effective than plasti
230 The results of the experiments support the null hypothesis that differences among individuals in th
231 med using point process methods, testing the null hypothesis that disease risk does not vary spatiall
233 sue is that unconsciousness is typically the null hypothesis that evidence of awareness will not emer
236 a convenient mathematical structure for the null hypothesis that however results in both poor detect
237 of 1.08; therefore, we could not reject the null hypothesis that ibandronic acid was inferior to zol
238 ishing a [Formula: see text] value under the null hypothesis that it was chosen from a stationary dis
240 Most inference methods are based on the null hypothesis that natural selection is a weak or infr
241 xpected during the holiday period, using the null hypothesis that natural-cause mortality is unaffect
242 rved score with the expected score under the null hypothesis that only nuclear autosomal mutations ar
243 etic evidence that statistically rejects the null hypothesis that our species descends from a single,
244 n signed rank procedure was used to test the null hypothesis that ratings were symmetric at about a s
246 ical tree Corythophora alta, we rejected the null hypothesis that seed and pollen gene flow rates are
248 g to reject alternative views, including the null hypothesis that species richness has simply had mor
250 evaluable patients were required to test the null hypothesis that the area under the curve of percent
251 el analysis of variance was used to test the null hypothesis that the difference in population mean s
252 eneficial mutations, focusing on testing the null hypothesis that the distribution is exponential.
253 rican great apes, we were able to reject the null hypothesis that the divergence time in the coding s
256 We find that we are unable to reject the null hypothesis that the protein-family sizes of these s
257 two-stage minimax rule was used to test the null hypothesis that the response rate is <or= 40% again
259 significant at [Formula: see text] under the null hypothesis that the state was chosen from a station
262 ociation tests should be conducted under the null hypothesis that there is linkage but no association
263 nge of association test statistics under the null hypothesis that there is linkage but no association
264 5% confidence limits were calculated, with a null hypothesis that there is no difference between the
272 velop a simple method to test an alternative null hypothesis: that lineage-specific genes do have hom
273 es the statistical procedures of testing the null hypothesis: that the coefficient of correlation/reg
274 how that PB-based topology tests that use as null hypothesis the most likely tree congruent with a pr
275 The analysis of variance shows that the null hypothesis (the mean value of a group of GC content
276 Furthermore, we show that (i) under the null hypothesis, the limiting distribution of the gLOD i
278 nd degrees-of-freedom are computed, allowing null-hypothesis thresholding at high levels of confidenc
279 factor and a disease requires a more complex null hypothesis, thus offering additional methodological
280 mmals suggests adaptation, the seldom-tested null hypothesis to explain trait divergence is genetic d
281 e observed rate ratio (r) is unbiased at the null hypothesis (true rate ratio R = 1), negatively bias
282 est on log-transformed costs tests the wrong null hypothesis unless variances in the log-scale are eq
287 population mortality variations, an overall null hypothesis was tested: variations in primary health
290 The canonical Akt activation model (the null hypothesis) was unable to recapitulate the observed
293 genomewide data set are tested against some null hypothesis, where a number of features are expected
296 sing the correlation coefficient to test the null-hypothesis, which avoids the costly computation of
297 Classic differential analysis assumes a null hypothesis whose test statistic is not subtype-spec
298 rather than evaluating the deviation from a null hypothesis with a P-value, it quantifies gene-set a
299 are simultaneous (with >99% rejection of the null hypothesis) with the onset of millennium-timescale
300 xpected during the holiday period, given the null hypothesis, with the number of deaths observed.