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1 s the result likely due to the treatment (vs confounding factors)?
2 insulin was included into the analyses as a confounding factor.
3 luctuations and removed premature birth as a confounding factor.
4 nating amino acid composition as a potential confounding factor.
5 lity has not been adequately considered as a confounding factor.
6 .52 db/y; P = .02), even after adjusting for confounding factors.
7 g follow-up, while adjusting for potentially confounding factors.
8 c and linear regressions with adjustment for confounding factors.
9 were adjusted for a broad range of potential confounding factors.
10 offspring obesity after accounting for major confounding factors.
11 to demonstrate an association among MBL and confounding factors.
12 n patients with PD even after adjustment for confounding factors.
13 ies interactions or whether they result from confounding factors.
14 s but light-induced side effects are serious confounding factors.
15 0.1; P<0.001), after adjusting for potential confounding factors.
16 rrelated with one another and with potential confounding factors.
17 justed for calendar time and other potential confounding factors.
18 ined faster, with less manpower, and without confounding factors.
19 sisted after controlling for these and other confounding factors.
20 less than .001 after adjusting for potential confounding factors.
21 e potential roles of the different potential confounding factors.
22 ut this approach is sensitive to a number of confounding factors.
23 rs and the type of graft represent important confounding factors.
24 sk of CMDs independent of the aforementioned confounding factors.
25 vascular mortality risk after adjustment for confounding factors.
26 lence of T2D with PM2.5 after adjustment for confounding factors.
27 conducted in the future to avoid potentially confounding factors.
28 ident overweight and to adjust for potential confounding factors.
29 STD on dark field condition were included as confounding factors.
30 riate regression was used to eliminate other confounding factors.
31 an improved experimental design and avoiding confounding factors.
32 osphate levels, independent of GFR and other confounding factors.
33 l for time-invariant measured and unmeasured confounding factors.
34 y of previous studies to rigorously rule out confounding factors.
35 n analysis was used to control for potential confounding factors.
36 in phenotype, methods of analysis and use of confounding factors.
37 D and a variety of outcomes, controlling for confounding factors.
38 hild BMI, but this relation was explained by confounding factors.
39 d after offspring death, with adjustment for confounding factors.
40 l logistic regression adjusted for potential confounding factors.
41 rolling for specific perinatal and postnatal confounding factors.
42 kness (CCT), while adjusting for potentially confounding factors.
43 I, 0.60-0.90) after adjustment for potential confounding factors.
44 risk of type 2 diabetes and adjust for more confounding factors.
45 estimating equation models and adjusted for confounding factors.
46 estimation bias and adjusted for potentially confounding factors.
47 orest cover) while controlling for potential confounding factors.
48 d social welfare benefits, are the result of confounding factors.
49 n healthy subjects, independent of potential confounding factors.
50 regression was used to adjust for potential confounding factors.
51 regression, adjusting for potential risk and confounding factors.
52 , robustness to potential genomic biases and confounding factors.
53 h that inference is valid in the presence of confounding factors.
54 pool, thus controlling for many potentially confounding factors.
55 d to compare statin exposure and correct for confounding factors.
56 lated predator effects while controlling for confounding factors.
57 ion of hunting mortality as well as possible confounding factors.
58 sequencing depth, as well as the presence of confounding factors.
59 This advantage remained after adjustment for confounding factors.
60 utcomes, even after adjustment for important confounding factors.
61 roup and with clear measurement of potential confounding factors.
62 exact matching and controlling for potential confounding factors.
63 e due to unmeasured genetic factors or other confounding factors.
64 evaluate because of the presence of abundant confounding factors.
65 ) and after adjusting for age, sex and other confounding factors.
66 e survival rate after adjusting for possible confounding factors.
67 for other reasons, minimizing the effect of confounding factors.
68 d with clinical outcomes after adjusting for confounding factors.
69 rietal association areas after adjusting for confounding factors.
70 nsity score matching were used to adjust for confounding factors.
71 women receiving MHT, adjusting for potential confounding factors.
72 Both models were controlled for confounding factors.
73 c quantification methods and the presence of confounding factors.
74 nter status and patient and disease-specific confounding factors.
75 ent datasets after adjusting for potentially confounding factors.
76 a stronger correlation with cfPWV and fewer confounding factors.
77 hly associated with BP after adjustments for confounding factors.
78 field variability, adjusting for potentially confounding factors.
79 g for technical, statistical, and biological confounding factors.
80 fferences were reversed after adjustment for confounding factors (1 year MRR, 0.81; 95% confidence in
81 reporting odds ratios adjusted for possible confounding factors; 2) diagnosing ADHD by direct interv
84 s study was limited by an absence of data on confounding factors; additionally, findings based on cyt
85 odds of neonatal death after adjustment for confounding factors (adjusted odds ratio 1.46, 95% CI 1.
87 rly menopause while accounting for potential confounding factors.After adjustment for age, smoking, a
89 luded simultaneously in a Cox model with the confounding factors age, American Society of Anesthesiol
90 a new association, independent of potential confounding factors (age, BMI, type 2 diabetes mellitus
92 < 0.001; weight, P = 0.001), AI rd has fewer confounding factors (age, P < 0.001; gender, P < 0.001).
93 rmation, work-related information, lifestyle-confounding factors, all current medications, and health
95 comparable performance to other mixed model confounding factor analysis methods when identifying suc
97 e well conducted, some studies had potential confounding factors and absence of comparator groups.
98 inal studies as well as adjust for potential confounding factors and account for sources of variabili
99 em food frequency questionnaire adjusted for confounding factors and corrected for multiple compariso
100 present, including incomplete adjustment for confounding factors and failure to measure lifetime use
102 uce a LOw-Rank representation to account for confounding factors and make use of Sparse regression fo
104 is covariate selection approach controls for confounding factors and regulatory context, thereby incr
110 e potential for spurious associations due to confounding factors, and 3) the number of parameters to
111 diarrhoea even after adjusting for potential confounding factors, and infrequently caused by infectiv
112 n the basis of ethnicity and other potential confounding factors, and one has access to the aligned r
113 CP uses a more informed assumption about the confounding factors, and performs as well or better than
114 n analysis was performed while adjusting for confounding factors, and results were additionally strat
115 043), and such relationship is lost when the confounding factors are adjusted (OR = 0.828, P = 0.225)
117 is studies controlling for several potential confounding factors are required to better characterize
121 oplet encapsulation reduces cell efflux as a confounding factor, because any effluxed radionuclide is
125 me of biopsy after transplantation was not a confounding factor by including additional specimens wit
126 such as urine and blood, the aforementioned confounding factors can easily overwhelm attempts to ext
128 ve been unable to rigorously examine whether confounding factors cause these associations rather than
130 is possible, the method suffers from typical confounding factors common to histochemistry, such as va
131 used by missing or incomplete information on confounding factors constitutes an important challenge i
132 emature rupture of membrane (PPROM) may be a confounding factor contributing to phenotype heterogenei
138 Statistical analyses must account for known confounding factors (e.g., socioeconomic conditions) but
142 egression models that adjusted for potential confounding factors (eg, demographics) and potential int
144 uch broad impact eQTL, we introduce CONFETI: Confounding Factor Estimation Through Independent compon
145 subset of trauma patients who, adjusting for confounding factors, experienced more adverse outcomes.
146 extensive control for prospectively measured confounding factors, exposure to the Canterbury earthqua
148 fspring born in Sweden, after accounting for confounding factors, first-trimester exposure to antidep
152 that genetic background variation is a major confounding factor for transcriptional and epigenetic co
153 studies requires the consideration of both, confounding factors (for example, population structure)
154 Hazard ratios of remission (adjusted for confounding factors) for vitreous cell and CME for those
156 igations spanning adulthood are limited, and confounding factors have not been examined rigorously.
157 other group-living arthropods, and multiple confounding factors have to be controlled to detect effe
158 ed significant even after adjustment for all confounding factors (hazard ratio, 1.69; 95% confidence
161 % vs 25.1%; p = 0.010); after adjustment for confounding factors, hospital mortality was also lower (
163 0.667-0.894), adjusting for other potential confounding factors (i.e., socio-demographic factors and
164 d to investigate any potential influences of confounding factors, i.e., platform switching design, ce
168 eating effects are a previously unrecognized confounding factor in establishing the antimicrobial act
173 n heart failure patients after adjusting for confounding factors in a sample of adults with heart fai
174 py and preparation of blood samples could be confounding factors in case-control studies relating pla
176 ia, however, remains uncertain, and reflects confounding factors in earlier assessments that were lar
178 e effects is difficult to obtain due to many confounding factors in natural systems, but extinction c
179 Even though we accounted for several key confounding factors in our estimates, the possibility of
184 re calculated after adjustment for potential confounding factors including birth weight and body mass
185 ion analysis that was adjusted for potential confounding factors including patient age, clinical stro
187 ients with those of the control eyes keeping confounding factors, including AL, age and gender under
189 rrection for multiple testing (P<7.3e-5) and confounding factors, including drug therapy, and renal a
190 RT because of their association with various confounding factors, including intrauterine growth restr
191 adolescents while controlling for potential confounding factors, including noise exposures and clini
192 y linear regression, adjusting for potential confounding factors, including short-term exposure to ai
193 tid IMT while adjusting for several possible confounding factors, including the metabolic syndrome.
194 to nonrepresentative subjects and potential confounding factors, including varying severity of illne
195 ecific billing codes used, and the potential confounding factors incorporated in the multivariable mo
196 Even after adjusting for multiple potential confounding factors, infants with AKI had higher mortali
197 D background by using ZFNs without potential confounding factors introduced by contaminating genetic
203 etinal detachment (RRD) after adjustment for confounding factors known to be associated with RRD.
208 so used the CONFETI framework and these same confounding factor methods to identify eQTL that replica
209 as better performance than other mixed model confounding factor methods when considering broad impact
211 ECG markers in schizophrenia is explained by confounding factors, notably sodium channel-blocking med
212 in colonized group, even after adjusting for confounding factors (odds ratio, 2.7 [95% CI, 1.0-7.5];
213 ze T-cell responses to NTMs, eliminating the confounding factor of MTB cross-recognition and providin
216 quantify it accurately in the absence of the confounding factors of cell-substrate adhesion and the r
218 associations persisted after controlling for confounding factors of student sex, age, country of orig
219 on the propensity score, length of stay, and confounding factors on the day before intrahospital tran
220 dds of stroke after adjustment for potential confounding factors (OR=1.22, 95% CI 1.08 to 1.38).
221 findings that persisted after adjustment for confounding factors (ORs, 0.33 [95% CI, 0.12-0.87] and 4
222 opriate statistical controls and be aware of confounding factors; otherwise, they could easily fall i
224 hile the study did not control for potential confounding factors over time independent of the interve
227 Our study showed that, after adjustment for confounding factors, palmitoleic acid (16:1n-7; P = 2.8
228 ents, by attempting to account for important confounding factors, particularly immunosuppression.
231 sity score-matched controls and adjusted for confounding factors, patients with CRC who received the
232 trol participants, even when a few potential confounding factors (postmortem interval, age, and histo
233 y charged microdroplets, leading to multiple confounding factors potentially influencing reaction rat
239 Moreover, our findings highlight possible confounding factors relevant to the study of gene expres
242 s observational study adjusted for all-known confounding factors seems to provide strong enough evide
243 D, and cancer mortality, but the presence of confounding factors should be taken into account when co
245 change, while taking into account potential confounding factors such as age, race, corneal thickness
246 tion initiation was independent of potential confounding factors such as age, sex, and diabetes or ot
247 ralized additive models, taking into account confounding factors such as air pollution, weather and d
248 rformance is less likely to be influenced by confounding factors such as biased disease indications o
250 enefited from the fact that the influence of confounding factors such as body weight and temperature
251 cess was unaffected by testing for potential confounding factors such as depression severity at basel
252 es are only insufficiently able to deal with confounding factors such as genetic heterogeneity, incom
253 ever, because it is difficult to control for confounding factors such as homophily or dynamic network
254 is was true when controlling for potentially confounding factors such as human freedom and economic d
255 sis, the application of SPARROW controls for confounding factors such as hydrologic variability, mult
256 ry feature of the diseases or is a result of confounding factors such as medication and agonal state.
257 halmitis is greater in these patients due to confounding factors such as pre-existing ocular diseases
259 his discrepancy could include influence from confounding factors such as use of RA medication, select
260 rongly associated in adults after taking key confounding factors, such as sex, age, and smoking, into
261 nformation on treatment with medications and confounding factors, such as substance use, previous adv
263 be imprecise and may not consider potential confounding factors, such as treatment with medication a
265 ings persisted after adjusting for potential confounding factors (survival: p=0.002, HR 0.29 (0.13 to
266 on; however, pretreatment lung function is a confounding factor that potentially affects the efficacy
267 nalysis.Population structure is an important confounding factor that should be controlled for in stud
268 the methods used are subject to a number of confounding factors that can contaminate estimates of sp
269 ct eQTL: the need to account for non-genetic confounding factors that can lower the power of the anal
271 f a single platform also minimizes potential confounding factors that could impact accurate detection
273 erimenter and tested animals, overcoming the confounding factors that lead to irreproducible assessme
275 On multivariable analysis accounting for confounding factors, the boost remained significantly as
282 and the tendency of methods that account for confounding factors to model broad impact eQTL as non-ge
284 P was analyzed individually and adjusted for confounding factors using a multivariate binary logistic
285 warming, and indicate that in the absence of confounding factors, warmer sea surface temperatures cou
286 mation on previous colonoscopy and potential confounding factors was collected by standardized person
287 case-control analysis adjusted for potential confounding factors was performed to calculate the odds
289 egression analyses, controlling for possible confounding factors, we compared differences in these tw
290 at adjusts for both technical and biological confounding factors, we find that TP53, EP300, and NFE2L
294 gnificant differences in demographic data or confounding factors were detected between the 2 groups.
295 ents and mental health after controlling for confounding factors were resettlement related stressors,
296 ear regression models adjusted for potential confounding factors were used to investigate the relatio
297 reated cells with glycanases to remove these confounding factors, which did not significantly diminis
300 dimensional sparse data as well as to adjust confounding factors, without the need of the assumption
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