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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
82 d relative to US natives after adjusting for confounding factors (95% CI 1.52-7.83).
83         Although drug treatment represents a confounding factor, ACVD status, and not current drug us
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.
86                   However, when adjusted for confounding factors, African American subjects were more
87 rly menopause while accounting for potential confounding factors.After adjustment for age, smoking, a
88                                    Two major confounding factors against this goal are the normal cel
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
91                  When adjusted for potential confounding factors (age, body mass index, percent body
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
94      However, after adjustment for potential confounding factors, an increased risk was observed only
95  comparable performance to other mixed model confounding factor analysis methods when identifying suc
96         Tissue heterogeneity is both a major confounding factor and an underexploited information sou
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
101 val, 1.1-1.5; P = 0.003) after adjusting for confounding factors and indications.
102 uce a LOw-Rank representation to account for confounding factors and make use of Sparse regression fo
103 ng the dual-regression method, corrected for confounding factors and multiple comparisons.
104 is covariate selection approach controls for confounding factors and regulatory context, thereby incr
105 ection of colorectal cancer, controlling for confounding factors and secular trends.
106 sks for these outcomes are often confused by confounding factors and study design limitations.
107                                              Confounding factors and the burden of multiple testing l
108       A multivariable analysis adjusting for confounding factors and the clustering of consultants re
109                                We eliminated confounding factors and, contrary to what is commonly be
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)
116 t entropy is a tumor-specific metric only if confounding factors are corrected.
117 is studies controlling for several potential confounding factors are required to better characterize
118 ore one driver at a time and control as many confounding factors as possible.
119                             We also reviewed confounding factors associated with nut consumption to a
120                 After adjustment for various confounding factors, average birth weight of offspring w
121 oplet encapsulation reduces cell efflux as a confounding factor, because any effluxed radionuclide is
122                              Controlling for confounding factors, black patients were found to have 1
123                         After adjustment for confounding factors, blacks (adjusted hazard ratio [aHR]
124 even after adjustment for mean SBP and other confounding factors (both P<0.05 for trend).
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
127                            Although residual confounding factors cannot be ruled out, the shared reas
128 ve been unable to rigorously examine whether confounding factors cause these associations rather than
129                         After adjustment for confounding factors, cervical anastomosis was associated
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
133                                      Several confounding factors could have influenced and limited ou
134         The VLSM analysis adjusted for these confounding factors demonstrated associations between PS
135                                     Possible confounding factors did not explain the difference.
136 pattern that could not be explained by other confounding factors (e.g. age or release site).
137             After adjustment for potentially confounding factors (e.g., lifetime number of painful su
138  Statistical analyses must account for known confounding factors (e.g., socioeconomic conditions) but
139           In multivariable analysis with the confounding factors, each 1 dB/year change in binocular
140                         After adjustment for confounding factors, each additional month of use of PMH
141                         After adjustment for confounding factors, each additional year older was asso
142 egression models that adjusted for potential confounding factors (eg, demographics) and potential int
143 dy of human ageing free from the majority of confounding factors, especially inactivity.
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
147                          After adjusting for confounding factors, females had a 64% increased risk of
148 fspring born in Sweden, after accounting for confounding factors, first-trimester exposure to antidep
149 f MR1 across tissues and cell lines can be a confounding factor for experimental purposes.
150 theless, sampling method remains a potential confounding factor for neoadjuvant study design.
151 nalysis, whereas disease severity might be a confounding factor for the meta-analysis.
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
155 and removing the effects of known and hidden confounding factors from RNA-sequencing data.
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
159                            When adjusted for confounding factors, high total testosterone (TT) and CB
160                After adjustment for possible confounding factors, higher intake of total PUFAs was as
161 % vs 25.1%; p = 0.010); after adjustment for confounding factors, hospital mortality was also lower (
162                         After adjustment for confounding factors, however, the current study did not
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
165                   The potential for residual confounding factors impacting on short-term mortality ca
166                           Uveitis is a major confounding factor in assessing the thickness of the RNF
167 stacle to cancer treatment and a significant confounding factor in bulk-tumor profiling.
168 eating effects are a previously unrecognized confounding factor in establishing the antimicrobial act
169          For example, contaminating ADP is a confounding factor in fluorescence resonance energy tran
170                    Population structure is a confounding factor in genome-wide association studies, i
171                          An often overlooked confounding factor in the interpretation of experimental
172                                            A confounding factor in this research is the high molecula
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
175              After controlling for potential confounding factors in childhood (eg, having engaged in
176 ia, however, remains uncertain, and reflects confounding factors in earlier assessments that were lar
177          Adjusting for a number of potential confounding factors in early life (month of birth, latit
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
180                          After adjusting for confounding factors in Poisson regression, the relations
181                                              Confounding factors in such integration include sequenci
182                                              Confounding factors included age, prestroke functional l
183                                    Potential confounding factors included age, sex, body mass index (
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
186         The model was adjusted for potential confounding factors, including age, sex, comorbidities,
187 ients with those of the control eyes keeping confounding factors, including AL, age and gender under
188            Multivariable models adjusted for confounding factors, including change in body mass index
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
198 ucoma, OHT and GLD) correcting for potential confounding factors, IOP and age.
199              However, an important potential confounding factor is that epidemiologic studies do not
200                                            A confounding factor is that little is known about whether
201                                One potential confounding factor is the overlap of function between th
202                      A potentially important confounding factor is the variation in mutation rates be
203 etinal detachment (RRD) after adjustment for confounding factors known to be associated with RRD.
204 s, and inadequate consideration of potential confounding factors limit the results.
205                                              Confounding factors linked to hemodynamic status can gre
206         We found that, after controlling for confounding factors, male aggression during a female's s
207                                              Confounding factors may relate to stringency of inflamma
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
210               After adjustment for potential confounding factors, Middle East respiratory syndrome wa
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
214                                    Potential confounding factors of age, sex, intelligence quotient,
215 ivity in individual lineages and control for confounding factors of CCL profiling.
216 quantify it accurately in the absence of the confounding factors of cell-substrate adhesion and the r
217                      We determined potential confounding factors of sexual dysfunction: age; disease
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
223                            When adjusted for confounding factors, outcome between the groups did not
224 hile the study did not control for potential confounding factors over time independent of the interve
225 d significant after adjustment for the major confounding factors (P < 0.05).
226 ive symptoms after controlling for potential confounding factors (p = 0.002).
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.
229          This is probably due to a number of confounding factors, particularly in studies of a cross-
230                After adjusting for potential confounding factors, patients prescribed topiramate were
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
234                              After adjusting confounding factors, PPIs prescription 3 months before T
235                After adjusting for potential confounding factors, presence of CIMT at 50(th-) 75(th)
236                            Assuming that the confounding factors provide a more parsimonious explanat
237 ensity score matching was used to adjust the confounding factors related to IB use.
238  who carry risk-associated genes but not the confounding factors related to the disorder.
239    Moreover, our findings highlight possible confounding factors relevant to the study of gene expres
240                                Adjusting for confounding factors, restrictive transfusion protocols i
241                          After adjustment of confounding factors, SEAL was associated with a 28% grea
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
244                          After adjusting for confounding factors, subjects with birth weight <2500 g
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
249 esponse dynamics, even while controlling for confounding factors such as body temperature.
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
258                                     Although confounding factors such as size of the eye and surgeon
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
262            However, the effects of potential confounding factors, such as the cell cycle, on the hete
263  be imprecise and may not consider potential confounding factors, such as treatment with medication a
264       In the absence of adequate control for confounding factors, such as year and place of birth, ou
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
270             However, because of a variety of confounding factors that complicate the interpretation o
271 f a single platform also minimizes potential confounding factors that could impact accurate detection
272                                    To reduce confounding factors that have hampered previous epigenom
273 erimenter and tested animals, overcoming the confounding factors that lead to irreproducible assessme
274              After controlling for potential confounding factors, the authors found that leisure-time
275     On multivariable analysis accounting for confounding factors, the boost remained significantly as
276                         After adjustment for confounding factors, the factors associated with lower h
277                  After control for available confounding factors, the hazard ratio was 1.32 (95% CI,
278               After adjustment for potential confounding factors, the risk of treatment failure was s
279                        Adjusted for possible confounding factors, the SSC effect on complications rem
280                                    To reduce confounding factors, this original demonstration used co
281                          After adjusting for confounding factors, those prescribed the highest quarti
282 and the tendency of methods that account for confounding factors to model broad impact eQTL as non-ge
283                          After adjusting for confounding factors using a generalized linear Poisson m
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
288                           To circumvent this confounding factor, we have generated a new strain of iN
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
291                               To avoid these confounding factors, we focused on NREM sleep only and m
292                      Controlling for various confounding factors, we noted that annual mortality amon
293 dual confounding was possible, although many confounding factors were considered.
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
298 t, while accounting for additional potential confounding factors with fixed effect covariates.
299 , a novel probabilistic model to account for confounding factors within an eQTL analysis.
300 dimensional sparse data as well as to adjust confounding factors, without the need of the assumption

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