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1 s the result likely due to the treatment (vs confounding factors)?
2 luctuations and removed premature birth as a confounding factor.
3 nating amino acid composition as a potential confounding factor.
4 lity has not been adequately considered as a confounding factor.
5 insulin was included into the analyses as a confounding factor.
6 sessment methodology, and adjustment for key confounding factors.
7 1.59; 95% CI, 1.13-2.22) after adjusting for confounding factors.
8 vanishes gradually with increased control of confounding factors.
9 gression analysis to control for potentially confounding factors.
10 he influence of both measured and unmeasured confounding factors.
11 kHz electrical stimulation may themselves be confounding factors.
12 icant when adjusting for several potentially confounding factors.
13 women receiving MHT, adjusting for potential confounding factors.
14 nter status and patient and disease-specific confounding factors.
15 ng for patient- and hospital-level potential confounding factors.
16 s but light-induced side effects are serious confounding factors.
17 justed for calendar time and other potential confounding factors.
18 lence of T2D with PM2.5 after adjustment for confounding factors.
19 sequencing depth, as well as the presence of confounding factors.
20 for other reasons, minimizing the effect of confounding factors.
21 d with clinical outcomes after adjusting for confounding factors.
22 rietal association areas after adjusting for confounding factors.
23 nsity score matching were used to adjust for confounding factors.
24 ontrolled situations, undisturbed by unknown confounding factors.
25 Both models were controlled for confounding factors.
26 c quantification methods and the presence of confounding factors.
27 ent datasets after adjusting for potentially confounding factors.
28 a stronger correlation with cfPWV and fewer confounding factors.
29 hly associated with BP after adjustments for confounding factors.
30 association persisting after accounting for confounding factors.
31 y significant when corrected for potentially confounding factors.
32 field variability, adjusting for potentially confounding factors.
33 s loss over time while adjusting for various confounding factors.
34 g for technical, statistical, and biological confounding factors.
35 c symptoms were also independent of relevant confounding factors.
36 .52 db/y; P = .02), even after adjusting for confounding factors.
37 g follow-up, while adjusting for potentially confounding factors.
38 c and linear regressions with adjustment for confounding factors.
39 were adjusted for a broad range of potential confounding factors.
40 offspring obesity after accounting for major confounding factors.
41 to demonstrate an association among MBL and confounding factors.
42 n patients with PD even after adjustment for confounding factors.
43 ies interactions or whether they result from confounding factors.
44 0.1; P<0.001), after adjusting for potential confounding factors.
45 rrelated with one another and with potential confounding factors.
46 ined faster, with less manpower, and without confounding factors.
47 sisted after controlling for these and other confounding factors.
48 less than .001 after adjusting for potential confounding factors.
49 e potential roles of the different potential confounding factors.
50 ut this approach is sensitive to a number of confounding factors.
51 rs and the type of graft represent important confounding factors.
52 sk of CMDs independent of the aforementioned confounding factors.
53 vascular mortality risk after adjustment for confounding factors.
54 conducted in the future to avoid potentially confounding factors.
55 ident overweight and to adjust for potential confounding factors.
56 STD on dark field condition were included as confounding factors.
57 riate regression was used to eliminate other confounding factors.
58 by the Cox regression to identify potential confounding factors.
59 5% CI 1.29-1.89, P < 0.001), after adjusting confounding factors.
60 oven difficult because of the many potential confounding factors.
61 del COR study, n = 645) while adjusting for confounding factors.
62 ness outcome while controlling for potential confounding factors.
63 multivariable linear regression adjusted for confounding factors.
64 teraction terms and independent of potential confounding factors.
65 .23-2.16; P = 0.001 for trend) adjusting for confounding factors.
66 real physiological signals, which introduce confounding factors.
67 y of SMTs over time, adjusting for potential confounding factors.
68 ar follow-up, after controlling for possible confounding factors.
69 tions and metabolic diseases, independent of confounding factors.
70 6), even after full adjustment for potential confounding factors.
71 nd non-fatal suicide attempts, adjusting for confounding factors.
72 nd has not adequately adjusted for potential confounding factors.
73 remained unchanged even after adjusting for confounding factors.
74 Models included potential confounding factors.
75 the IV method may also adjust for unmeasured confounding factors.
76 at it outperformed all in the face of common confounding factors.
77 sics to reduce the adverse effects caused by confounding factors.
78 extension to the mixed models in correcting confounding factors.
79 o assess the effect of HIPEC and account for confounding factors.
80 eneration or inflammation occur as potential confounding factors.
81 ow participation rates, and did not consider confounding factors.
82 and clinical parameters after correction for confounding factors.
83 pH and salinity, analyte breakdown and other confounding factors.
84 was available on disease severity and other confounding factors.
85 c hazard ratios (HRs) adjusted for potential confounding factors.
86 ncident type 2 diabetes after adjustment for confounding factors.
87 fferences were reversed after adjustment for confounding factors (1 year MRR, 0.81; 95% confidence in
89 reporting odds ratios adjusted for possible confounding factors; 2) diagnosing ADHD by direct interv
93 rly menopause while accounting for potential confounding factors.After adjustment for age, smoking, a
95 < 0.001; weight, P = 0.001), AI rd has fewer confounding factors (age, P < 0.001; gender, P < 0.001).
97 rmation, work-related information, lifestyle-confounding factors, all current medications, and health
98 f PTB and SGA were largely due to unmeasured confounding factors, although we could not rule out smal
99 comparable performance to other mixed model confounding factor analysis methods when identifying suc
101 e well conducted, some studies had potential confounding factors and absence of comparator groups.
102 inal studies as well as adjust for potential confounding factors and account for sources of variabili
103 ic model that addresses previously neglected confounding factors and allows fast P-value calculation,
104 fied analyses that accounted for potentially confounding factors and baseline imbalances, and CIs for
105 em food frequency questionnaire adjusted for confounding factors and corrected for multiple compariso
106 present, including incomplete adjustment for confounding factors and failure to measure lifetime use
108 is covariate selection approach controls for confounding factors and regulatory context, thereby incr
110 adjusting for age, comorbidities, and other confounding factors and stratified by frailty, 2-year va
111 re obtained through careful consideration of confounding factors and the application of complementary
114 research, failure to adjust for several key confounding factors, and heterogeneity in studies with r
115 diarrhoea even after adjusting for potential confounding factors, and infrequently caused by infectiv
116 n analysis was performed while adjusting for confounding factors, and results were additionally strat
117 lcohol consumption may be explained by other confounding factors, and, if such a relationship is pres
119 is studies controlling for several potential confounding factors are required to better characterize
120 Gestational age at birth appeared to be a confounding factor as TBSS-observed correlations weakene
122 oplet encapsulation reduces cell efflux as a confounding factor, because any effluxed radionuclide is
123 me of biopsy after transplantation was not a confounding factor by including additional specimens wit
124 Additionally, we adjusted for unmeasured confounding factors by using several advanced epidemiolo
125 such as urine and blood, the aforementioned confounding factors can easily overwhelm attempts to ext
128 is possible, the method suffers from typical confounding factors common to histochemistry, such as va
129 this association could be affected by other confounding factors, considering that prepregnancy mater
130 ixed Model, consists of two components: 1) a confounding factor correction component, which is a larg
134 Statistical analyses must account for known confounding factors (e.g., socioeconomic conditions) but
135 analysis to mitigate effects of potentially confounding factors (e.g., stage of the COVID-19 epidemi
138 egression models that adjusted for potential confounding factors (eg, demographics) and potential int
141 uch broad impact eQTL, we introduce CONFETI: Confounding Factor Estimation Through Independent compon
143 fspring born in Sweden, after accounting for confounding factors, first-trimester exposure to antidep
146 sampling and that such bias becomes a major confounding factor for the measurement of the evolutiona
148 that genetic background variation is a major confounding factor for transcriptional and epigenetic co
150 atory pathways linked with hyperglycemia are confounding factors for salivary gland dysfunction in fe
151 studies requires the consideration of both, confounding factors (for example, population structure)
152 Hazard ratios of remission (adjusted for confounding factors) for vitreous cell and CME for those
154 s of CTG repeat length, and incorporation of confounding factors, greatly improves the predictive abi
155 uction patterns of trees, but this potential confounding factor has not been considered in previous t
156 igations spanning adulthood are limited, and confounding factors have not been examined rigorously.
157 ed significant even after adjustment for all confounding factors (hazard ratio, 1.69; 95% confidence
161 had, in a dose-effect pattern, adjusting for confounding factors, higher scores for "emotional reacti
162 % vs 25.1%; p = 0.010); after adjustment for confounding factors, hospital mortality was also lower (
164 ciation was found to be independent of other confounding factors (HR: 1.45; 95% CI: 1.06, 1.99; P = 0
166 0.667-0.894), adjusting for other potential confounding factors (i.e., socio-demographic factors and
167 egardless of study design and adjustment for confounding factors (i.e., socioeconomic factors, other
168 d to investigate any potential influences of confounding factors, i.e., platform switching design, ce
173 eating effects are a previously unrecognized confounding factor in establishing the antimicrobial act
178 ia, however, remains uncertain, and reflects confounding factors in earlier assessments that were lar
180 e effects is difficult to obtain due to many confounding factors in natural systems, but extinction c
181 Even though we accounted for several key confounding factors in our estimates, the possibility of
186 tative trait loci (haQTLs), we regressed out confounding factors including heart failure disease stat
187 ion analysis that was adjusted for potential confounding factors including patient age, clinical stro
188 igreed breeds facilitates tighter control of confounding factors including population stratification,
189 low-up ALCSD rate of change was adjusted for confounding factors, including age, intraocular pressure
191 ients with those of the control eyes keeping confounding factors, including AL, age and gender under
192 rrection for multiple testing (P<7.3e-5) and confounding factors, including drug therapy, and renal a
194 adolescents while controlling for potential confounding factors, including noise exposures and clini
195 tid IMT while adjusting for several possible confounding factors, including the metabolic syndrome.
196 to nonrepresentative subjects and potential confounding factors, including varying severity of illne
198 Even after adjusting for multiple potential confounding factors, infants with AKI had higher mortali
202 m previous studies suggest that one possible confounding factor is underlying maternal psychiatric di
204 luding the cell-type proportion estimates as confounding factors is important for reducing false asso
205 ation of demography, recombination and other confounding factors is important, and use of a range of
207 his study is the possibility that unmeasured confounding factors led to an association between benzod
210 with appropriate consideration of potential confounding factors, low-cost PM sensors may be suitable
213 so used the CONFETI framework and these same confounding factor methods to identify eQTL that replica
214 as better performance than other mixed model confounding factor methods when considering broad impact
216 in colonized group, even after adjusting for confounding factors (odds ratio, 2.7 [95% CI, 1.0-7.5];
218 ze T-cell responses to NTMs, eliminating the confounding factor of MTB cross-recognition and providin
219 quantify it accurately in the absence of the confounding factors of cell-substrate adhesion and the r
222 dds of stroke after adjustment for potential confounding factors (OR=1.22, 95% CI 1.08 to 1.38).
223 findings that persisted after adjustment for confounding factors (ORs, 0.33 [95% CI, 0.12-0.87] and 4
224 opriate statistical controls and be aware of confounding factors; otherwise, they could easily fall i
226 ents, by attempting to account for important confounding factors, particularly immunosuppression.
227 sity score-matched controls and adjusted for confounding factors, patients with CRC who received the
228 trol participants, even when a few potential confounding factors (postmortem interval, age, and histo
229 y charged microdroplets, leading to multiple confounding factors potentially influencing reaction rat
232 regression analysis, adjusted for potential confounding factors, provided mean and mean score differ
234 We used a propensity score to control for confounding factors related to the probability of receiv
238 s observational study adjusted for all-known confounding factors seems to provide strong enough evide
239 D, and cancer mortality, but the presence of confounding factors should be taken into account when co
241 and generalized linear models to adjust for confounding factors such as age, anthropometrics, and sm
242 change, while taking into account potential confounding factors such as age, race, corneal thickness
243 ralized additive models, taking into account confounding factors such as air pollution, weather and d
247 ever, because it is difficult to control for confounding factors such as homophily or dynamic network
248 sis, the application of SPARROW controls for confounding factors such as hydrologic variability, mult
250 ry feature of the diseases or is a result of confounding factors such as medication and agonal state.
251 halmitis is greater in these patients due to confounding factors such as pre-existing ocular diseases
252 cies in infection risk while controlling for confounding factors such as seasonality, demographics an
253 e have built statistical models that include confounding factors such as sex, age, height and weight
254 his discrepancy could include influence from confounding factors such as use of RA medication, select
255 the consolidation period and other possible confounding factors, such as age and epilepsy duration.
256 sensitivity of radiomic features to several confounding factors, such as reconstruction settings, ma
257 s heterogeneity partially stems from genomic confounding factors, such as replication timing and chro
258 rongly associated in adults after taking key confounding factors, such as sex, age, and smoking, into
259 nformation on treatment with medications and confounding factors, such as substance use, previous adv
261 be imprecise and may not consider potential confounding factors, such as treatment with medication a
262 on; however, pretreatment lung function is a confounding factor that potentially affects the efficacy
263 the methods used are subject to a number of confounding factors that can contaminate estimates of sp
264 ct eQTL: the need to account for non-genetic confounding factors that can lower the power of the anal
267 erimenter and tested animals, overcoming the confounding factors that lead to irreproducible assessme
268 On multivariable analysis accounting for confounding factors, the boost remained significantly as
275 d to measure oral diseases, the treatment of confounding factors, the study design, the platforms emp
278 and the tendency of methods that account for confounding factors to model broad impact eQTL as non-ge
279 wild-type and live-attenuated ZIKV devoid of confounding factors typical associated with in vitro sys
282 P was analyzed individually and adjusted for confounding factors using a multivariate binary logistic
283 All available knowledge related to relevant confounding factors was considered in this re-analysis.
285 egression analyses, controlling for possible confounding factors, we compared differences in these tw
287 at adjusts for both technical and biological confounding factors, we find that TP53, EP300, and NFE2L
292 gle the causal effect of the expansions from confounding factors, we use unaffected control fisheries
295 ents and mental health after controlling for confounding factors were resettlement related stressors,
296 opted to illustrate comparisons, and various confounding factors were used to explore sources of hete
297 ng analytes are poorly understood and may be confounding factors when developing diagnostic platforms
298 approach for deriving features invariant to confounding factors while accounting for intrinsic corre
299 oisson regression, controlling for potential confounding factors, with lagged and unlagged pesticide
300 dimensional sparse data as well as to adjust confounding factors, without the need of the assumption