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1 re time-consuming and associated with a high false negative rate.
2 ent has a high identification rate and a low false negative rate.
3 dium are difficult to predict, having a high false negative rate.
4  than 10%, with an approximately 5% or lower false-negative rate.
5 opsy are important variables in reducing the false-negative rate.
6 e rate at the expense of a small increase in false-negative rate.
7 r of SLNs removed significantly affected the false-negative rate.
8 rience required to minimize the more crucial false-negative rate.
9 the only factor associated with an increased false-negative rate.
10 gy, are problematic because of a substantial false-negative rate.
11 SLN during surgery, nor does it decrease the false-negative rate.
12 llary lymph node dissection to determine the false-negative rate.
13  or PET/CT particularly allows for a minimal false-negative rate.
14 se tools suffer from high false positive and false negative rates.
15 complete and exhibit high false positive and false negative rates.
16  whole image, reduces the false positive and false negative rates.
17 ability and/or yield high false positive and false negative rates.
18 cies under user-specified false positive and false negative rates.
19 on studies have different false positive and false negative rates.
20 ch for stem-loop structures, leading to high false negative rates.
21  from drastically low sensitivities and high false negative rates.
22 of prostate needle biopsies, which have high false negative rates.
23  studies, and help reduce false positive and false negative rates.
24 this test has substantial false positive and false negative rates.
25  to reduce the associated false positive and false negative rates.
26 ls are prone to both high false positive and false negative rates.
27  peptides with higher confidence and reduced false negative rates.
28 curacy and reduced false positive as well as false negative rates.
29  cause unreliable feature selection and high false negative rates.
30 ver e-cigarette use), indicating substantial false-negative rates.
31 says have inherently high false-positive and false-negative rates.
32 t document acceptable SLN identification and false-negative rates.
33 l suffer from significant false-positive and false-negatives rates.
34                                          The false-negative rate (1 - sensitivity) for HPV PCR analys
35 odes, nonsentinel nodes were positive in 15 (false-negative rate, 10.7%; 15 of 140 patients).
36 e opposite side of detection to minimize the false-negative rate (2.8% [1/35]).
37 s at high accuracy (false discovery rate 1%, false negative rate 3%) on the basis of known sample SNP
38 formed (PPV3), 30.4% (95% CI: 29.9%, 30.9%); false-negative rate, 4.8 per 1000 (95% CI: 4.6, 5.0); se
39 ry rate of 2% (false positive rate 1.2 x 10, false negative rate 5%), which is similar to automated s
40 ients with residual axillary tumor activity (false negative rate 5/70 = 7%).
41                                   The lowest false-negative rates (5.5%-6.7%) were seen in studies th
42 nal colonoscopy in 86% of patients with a 1% false-negative rate (68% with a 3.4% false-negative rate
43 idence of carboplatin hypersensitivity (1.5% false-negative rate; 95% CI, 0.6% to 2.4%), none of whic
44     There were no significant differences in false-negative rate according to clinical patient and tu
45 ly expressed genes not identified, i.e., the false negative rate, allows balancing of the two error r
46  rate in SNP calling without sacrificing the false-negative rate although trimming is more commonly u
47                                          The false-negative rate among 104 patients in whom axillary
48 ovements by reducing both false positive and false negative rates and focusing resources on subgroups
49 s in 50 complete bacterial genomes with a 6% false-negative rate and a 0.66% false-positive rate.
50 , our method reduces the average error rate, false-negative rate and false-positive rate by 26, 15 an
51                                          The false-negative rate and negative predictive value in thi
52 n biopsy of large thyroid nodules has a high false-negative rate and should be considered for diagnos
53 es were fit to the data, first assuming a 5% false-negative rate and subsequently allowing the asympt
54 ta, we also observed an increase in both the false-negative rate and the false-positive rate for lowl
55 pretation is notoriously difficult with high false-negative rates and frequently fatal consequences.
56  necessary to reduce further the already low false-negative rates and to improve disease staging.
57 revalence of anti-JC virus antibodies, a low false-negative rate, and an association of increasing ag
58 ta sets, have significant false-positive and false-negative rates, and comparison to related data is
59    In addition, the overall discrepancy, the false-negative rates, and the false-positive rates betwe
60 ing dual-dye technique; SLN positivity rate; false-negative rate; and complications, if any, of SLN b
61 of correct topology, both false positive and false negative rates are below 0.1.
62 important, and new approaches to reduce this false-negative rate are needed.
63                            The corresponding false-negative rates are 3.5% and 10.2%, respectively.
64 se of case-control samples should reduce the false-negative rate as the differences in allele frequen
65 ed, no published data exist to establish the false-negative rate associated with this technique.
66        The acceptable SLN identification and false-negative rates associated with the dual-agent inje
67 osis of aortic coarctation suffers from high false-negative rates at screening and poor specificity.
68 s infection between study arms could lead to false-negative rates (beta errors) in up to 25% of phase
69 ties of 87-94%, specificities of 22-28%, and false-negative rates between 7 and 10%.
70       There was no significant difference in false-negative rates between the immediate group (0.1%)
71 amSeq, which reduces both false positive and false negative rates by incorporating the pedigree infor
72 at: (1) extended biopsy schemes decrease the false-negative rate compared with conventional sextant b
73                           US had the highest false-negative rate compared with mammography and MR, en
74 ix cases of every surgeon were excluded, the false-negative rate fell to 5.2% (2/38).
75 ptimal in the sense that it has the smallest false negative rate (FNR) among all valid FDR procedures
76 quired for the achievement of reasonably low false negative rate (FNR) and false positive rate.
77 these highly structured RNAs gave an overall false negative rate (FNR) of 17% and a false discovery r
78  both the false discovery rate (FDR) and the false negative rate (FNR).
79 mal SNB identification rate (IR) >/= 90% and false-negative rate (FNR) </= 10% were predetermined.
80 n and removal of clipped nodes, improves the false-negative rate (FNR) compared with SLND alone.
81  Oncology Group Z1071 trial reported a 12.6% false-negative rate (FNR) for sentinel lymph node (SLN)
82 rgeons Oncology Group Z1071 trial reported a false-negative rate (FNR) of 12.6% with sentinel lymph n
83  mapped (PSM) and test performance including false-negative rate (FNR), post-test probability negativ
84 are variant detection with high sensitivity (false negative rate, FNR 5%) and accuracy (false positiv
85 s (FDRs) to be 9.9%, 13.2% and 17.0% and the false negative rates (FNRs) to be 51%, 42% and 28%.
86 tation accuracy, and false positive (FP) and false negative rates for concentrations at subacute leve
87 s the significantly lower false positive and false negative rates for CRISP.
88 erentially expressed and false discovery and false negative rates for the list of genes reaching any
89                                          The false-negative rate for breast cancer was 20.8%, that fo
90 icates that the Xpert assay has an increased false-negative rate for detecting rifampin resistance wi
91                    There was an unacceptable false-negative rate for HER2 status with GHI HER2 assay
92                                          The false-negative rate for N2 and N3 disease was 4.1% (six
93                                          The false-negative rate for N2 and N3 invasive lobular cance
94 ary, PCR analysis for HPV DNA had a very low false-negative rate for predicting HPV-related lesions o
95                                          The false-negative rate for pure clustered microcalcificatio
96                                          The false-negative rate for SLN biopsy was 7.5%.
97                                          The false-negative rate for SLNB for melanoma is approximate
98                      False-positive rate and false-negative rate for small insertions and deletions d
99 ials could have a much higher probability of false-negative rates for a new therapy than designed.
100 als, signal to noise, and false-positive and false-negative rates for each of the five assays against
101  includes concerns about radiation exposure, false-negative rates for small polyps, the discovery of
102 f cases of cervical dysplasia missed, or the false-negative rate, has been unknown.
103                   However, unacceptably high false-negative rates have been reported in several studi
104 ncertainty and variability and decreases the false negatives rate; hence, it may offer an improved sc
105 both GENECONV and Partimatrix have very high false negative rates (i.e. failed to predict gene conver
106                             We estimated the false negative rate in the experiment by generating synt
107 TPA ventilation and our criteria reduced the false-negative rate in low-probability scans (7% versus
108 the preprocessing methods did not affect the false-negative rate in SNP calling with statistical sign
109 n larger savings in memory at the expense of false-negative rates in addition to the false-positive r
110 vity and specificity significantly increased false-negative rates in noncued areas (P < .05).
111                                    Until the false negative rate is reduced and the fine specificity
112                                          The false-negative rate is also minimized by the use of derm
113                                          The false-negative rate is probably an underestimate.
114 edict by current methods; (3) the test has a false-negative rate, lower than most of current gene pre
115 consistent with estimated false-positive and false-negative rates obtained using simulation.
116 This is consistent with a false positive and false negative rate of 0%.
117 el, documenting relatively high sensitivity (false negative rate of 0/18) and specificity (false posi
118 rmat with a false positive rate of 14% and a false negative rate of 14%.
119 e efficient relative to resequencing, with a false negative rate of 5% and a false discovery rate of
120 r identifying sentinel nodes at 96.2% with a false negative rate of 6.7%.
121 east one false negative error for an overall false negative rate of 7.5%.
122  rate of approximately 1 in 500,000 bp and a false negative rate of approximately 10%.
123  positive rate, and an even more significant false negative rate of approximately 40%.
124  for the first time, controlling the overall false negative rate of the screening algorithm to a desi
125 tives and, for the first time, estimated the false negative rates of CRISPR-KO screens, which are bet
126 inoma and a tumor-negative neck US, the high false-negative rate of (124)I PET/CT after recombinant h
127 1 of 27 cases; 95% CI: 62.1%, 93.5%), with a false-negative rate of 0%.
128 9 cases; 95% CI: 52.2%, 85.8%), again with a false-negative rate of 0%.
129 itive rate ( approximately 6 x 10(-5)) and a false-negative rate of 0.08 within the unique mapping re
130 ergo a preoperative lymphoscintigram, with a false-negative rate of 1.6%.
131                                          The false-negative rate of 10.6% (5/47) was calculated using
132                   This represented a delayed false-negative rate of 2% (two of 105 malignancies among
133 ation was 66.4% (95% CI, 62.8%-69.9%) with a false-negative rate of 2%.
134 -59.0) in STRATIFY-1 patients, with an assay false-negative rate of 2.7% (95% CI, 0.9-6.2).
135 jection was good (false-positive rate of 9%; false-negative rate of 26%).
136 d in the studied nodal basin for an in-basin false-negative rate of 4.0%.
137 previously reported studies with an in-basin false-negative rate of 4.0%.
138 l carcinoma was found in one, for an overall false-negative rate of 4.3% (5/117) and a negative predi
139 ervical lymph node metastasis, thus giving a false-negative rate of 7.14%.
140 plane method) had a sensitivity of 25% and a false-negative rate of 75% for detection of EF less than
141 he SLN was identified in 310 (89.1%), with a false-negative rate of 8.7%.
142 .1% (2544 of 2619; 95% CI 96.4-97.7), with a false-negative rate of 9.8% (75 of 766; 95% CI 7.8-12.2)
143 (MS) patients and to evaluate the analytical false-negative rate of a 2-step anti-JC virus antibody a
144 are multifactorial and include the perceived false-negative rate of all standard diagnostic tests, th
145                                          The false-negative rate of BAL was 7%.
146    The higher analytic sensitivity and lower false-negative rate of HTS improves upon FC for MRD dete
147 ase selection are required to avoid the high false-negative rate of one's early experience.
148                       As a result of the 30% false-negative rate of plasma genotyping, those with T79
149 foci and is within the accepted range of the false-negative rate of SLN.
150 or in a SN in 1 of these cases, bringing the false-negative rate of SN examination to 54%.
151                                          The false-negative rate of the ELISA was calculated to be ap
152                              Sensitivity and false-negative rate of the IRIS computer-based algorithm
153                                          The false-negative rate of the JCV serology in this study wa
154 regulate DNA replication can reduce the high false-negative rate of the Pap smear test and may facili
155                                     The true false-negative rate of this technique using multiple sec
156 93; 95% CI, 0.87 to 0.97; false-positive and false-negative rates of 22% and 0%, respectively, using
157 reactions (HSR) has been complicated by high false-negative rates of carboplatin skin test (ST) resul
158 ative predictive value, false-positive rate, false-negative rate) of multiple attenuation thresholds
159 t difference in the SLN identification rate, false-negative rate, or number of SLNs removed when a pr
160 e, with an order of magnitude improvement of false-negatives rates over the state of the art, while k
161 all high performance while maintaining a low false negative rate, particularly, on "periplasm" and "e
162 ; specificity, 88.9% (95% CI: 88.8%, 88.9%); false-negative rate per 1000 screens, 0.8 (95% CI: 0.7,
163 rgeon's success rate in finding the SLN, and false-negative rate, relative to level of experience wit
164 figures of merit, such as false positive and false negative rates, selectivity, specificity and effic
165 ing program had a high sensitivity and a low false-negative rate, suggesting that it may be an effect
166 ecommendations; harms (false-positive rates, false-negative rates, surgery rates).
167  the Fugu gene with lower false positive and false negative rates than are seen in the analysis of th
168 , among other reasons, to the non-negligible false negative rates that characterize CNV detection met
169  provide an estimation of false positive and false negative rates that is often desirable in a large-
170 s investigated by 17-25% while maintaining a false-negative rate that was close to that of the presum
171 d specificity at 20% false-positive rate and false-negative rate thresholds.
172 ia including mass error and isotope fit, the false negative rate typically accumulates upon advancing
173 s difficult to detect and resulted in a high false-negative rate under certain conditions.
174   The Directigen RSV assay resulted in a 23% false-negative rate, using PCR and chart review as the g
175 urthermore, it controlled false positive and false negative rates very well, indicating a high degree
176                            Thus, overall the false negative rate was 25%, and the false positive rate
177 ndex was higher (100% vs. 60%), however, the false negative rate was also high (33%).
178  failed to detect was <1%, implying that the false negative rate was extremely low.
179                                          The false negative rate was highest in the children who were
180                                          The false negative rate was the highest (85.7%) for exons wi
181                                          The false-negative rate was 0% for all US findings and for a
182                                          The false-negative rate was 11.76%.
183                                          The false-negative rate was 8.5% (3/35).
184                                          The false-negative rate was investigated in a subsample of p
185                                          The false-negative rate was less than 10%, and about 40% of
186                                          The false-negative rate was similar to those reported in two
187 eon experience on the SLN identification and false-negative rates was examined.
188    Improvement in the SLN identification and false-negative rates was found after 20 cases had been p
189                                  Conversely, false negative rates were 10.8-90.8%, with false negativ
190                                              False negative rates were also generally <5%; however, r
191                                          The false-negative rates were 11.8% and 5.8% for single- ver
192                                          The false-negative rates were 9.5%, 7.8%, and 6.5% (not sign
193 mined and compared with Pearson chi(2) test; false-negative rates were compared with Fischer exact te
194             The SLN identification rates and false-negative rates were compared.
195                           False-positive and false-negative rates were established by using 25 measur
196  losses, <30% false-positive rates, and <30% false-negative rates) were recruited.
197 d the inclusion of peak segmentation reduces false negative rates when spark density is high.
198 th a 1% false-negative rate (68% with a 3.4% false-negative rate when using a 6-mm cutoff).
199  model-based procedure for the estimation of false negative rates, which allows application of BPA to
200                                          The false-negative rate with LCNB was 1.2% in this study and

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