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1 ng both observational analysis and Mendelian randomization.
2 A total of 378 patients underwent randomization.
3 A total of 171 patients underwent randomization.
4 atients per group withdrew immediately after randomization.
5 t the patients were receiving at the time of randomization.
6 nd RP-S6K circulating levels using Mendelian Randomization.
7 , were included in a simple sequence without randomization.
8 ortium) type 3 to 5 bleeding at 1 year after randomization.
9 men available for analysis at 6 months after randomization.
10 A total of 240 patients underwent randomization.
11 usally related to depression using Mendelian randomization.
12 trasound was repeated at 6 and 12 weeks post randomization.
13 A total of 61 patients underwent randomization.
14 6 (n = 1,113) and 48 weeks (n = 1,016) after randomization.
15 ian time since diagnosis, 36 days) underwent randomization.
16 A total of 195 participants underwent randomization.
17 was discontinued for a 2-week period before randomization.
18 emoval from the trial, and at 6 months after randomization.
19 l among the first 480 patients who underwent randomization.
20 primary endpoint was PVR at 12 months after randomization.
21 l CT at a mean (+/-SD) of 90+/-15 days after randomization.
22 n the dapagliflozin and placebo groups after randomization.
23 lycaemic traits), using two-sample Mendelian randomization.
24 enterally over the initial 7 days following randomization.
25 semiannually during the first 3 years after randomization.
26 ardial infarction, or stroke at 1 year after randomization.
27 or bias that would have been produced under randomization.
28 t between treatment groups at 6 months after randomization.
29 intensive part B score was 37 (+/-10) before randomization.
30 mean gestational age, 25.9 weeks) underwent randomization.
31 d up at 3, 6, 9, 12, 15, and 18 months after randomization.
32 ndia, Kenya, Nigeria, and Pakistan underwent randomization.
33 tionally and with validation using Mendelian Randomization.
34 %) had had no angina during the month before randomization.
35 as death from any cause within 30 days after randomization.
36 167 infants in the same trial 7 months after randomization.
37 ed statistical significance at 12 days after randomization.
38 zed trial where the hospital was the unit of randomization.
39 l relationships with multivariable Mendelian randomization.
40 an evaluable computed tomography scan after randomization.
41 total motile sperm count) at 6 months after randomization.
42 drugs or atrial fibrillation ablation after randomization.
43 erall survival (OS) from the first or second randomizations.
46 221 of a planned 690 patients had undergone randomization (111 to the thrombectomy group and 110 to
47 1, 2019, a total of 3000 children underwent randomization: 1497 children were assigned to the 3-day
51 ses were based on 328 patients who underwent randomization (164 patients per group); 85.7% of the pat
52 who were receiving no respiratory support at randomization (17.8% vs. 14.0%; rate ratio, 1.19; 95% CI
54 30, 2017, a total of 4002 children underwent randomization (1999 in the placebo group and 2003 in the
55 rquartile range) of 185 (182-193) days after randomization, 2,492 survivors were surveyed and reporte
57 als in 30 countries, 11,330 adults underwent randomization; 2750 were assigned to receive remdesivir,
59 one-sample two stage least squares Mendelian randomization (2SLS MR) to show a causal relationship fo
61 48 patients were included in the trial after randomization - 375 were assigned to the dexamethasone g
64 f 495 patients with no detectable CMV DNA at randomization, 437 had vital-status data available throu
66 May 2018, a total of 1049 children underwent randomization; 524 were assigned to the chemoprevention
70 adults (414 with an appendicolith) underwent randomization; 776 were assigned to receive antibiotics
74 e usual care group died within 28 days after randomization (age-adjusted rate ratio, 0.83; 95% confid
76 describe methods for within-family Mendelian randomization analyses and use simulation studies to sho
80 sed as an instrumental variable in Mendelian randomization analyses for homeostatic modeling-derived
82 a imprinted genes, including KCNQ1 Mendelian randomization analyses revealed five loci where placenta
83 everal adverse health outcomes and Mendelian randomization analyses show a genetic association betwee
88 -adjusted regressions and 2-sample Mendelian randomization analyses to assess observational and causa
100 tic resonance imaging was completed prior to randomization and 1 month following cessation of treatme
102 reatic drainage surgery within 6 weeks after randomization and 44 patients randomized to the endoscop
104 metabolite (PGIM) excretion were measured at randomization and after 2 weeks, as primary surrogate en
106 he Seattle Angina Questionnaire (SAQ) before randomization and at 1.5, 3, and 6 months and every 6 mo
107 y utilized integrative analysis of Mendelian randomization and colocalization to uncover causal relat
108 isease on peritoneal dialysis (PD) underwent randomization and crossover to either a 2-hour dwell wit
110 ant effects that were apparent 28 days after randomization and maintained during long-term follow-up.
111 epidemiological approaches (e.g., mendelian randomization and negative control studies) should be ob
112 ed progression-free survival from the second randomization and overall survival (OS) from the first o
113 Ticagrelor was started immediately after randomization and prasugrel after coronary angiography.
116 riety of trial designs, including individual randomization and several types of cluster randomization
117 cs data analysis approach based on Mendelian randomization and utilized it to search for molecular bi
122 rom pregnancies occurring within 9 months of randomization) and semen quality parameters (sperm conce
124 received antibacterial drug therapy prior to randomization, and have severe chest pain at baseline.
128 ss responses to study interventions prior to randomization; and appropriate use of statistics to moni
132 plex traits and the suitability of Mendelian randomization as a causal inference strategy for transcr
135 d a cluster randomized controlled trial with randomization at the level of general practices (73 in e
137 th the Seattle Angina Questionnaire (SAQ) at randomization, at months 1.5, 3, and 6, and every 6 mont
138 Substudy participants were enrolled after randomization, at which time ex vivo assays to quantify
139 efit was examined as a function of time from randomization, attenuation of the ICD benefit was observ
140 29) or UT-DSAEK (n = 25) using minimization randomization based on preoperative BSCVA, recipient cen
141 ve mechanical ventilation or oxygen alone at randomization but not among those receiving no respirato
148 l randomization and several types of cluster randomization designs: parallel-arm, ring vaccination, a
153 ined into multi-allelic models and mendelian randomization estimates representing lifelong inhibition
156 s, one should carefully consider the unit of randomization (for example, patient, encounter, clinicia
157 ue imputation (JTI) approach and a Mendelian randomization framework for causal inference, MR-JTI.
158 (99.0%) completed the trial (n = 735 in both randomization groups) and were included in the analysis.
159 We performed a generalized summary Mendelian randomization (GSMR) analysis using summary statistics o
160 of miscarriage with biobank-scale Mendelian randomization, heritability, and genetic correlation ana
165 nally concordant with observed and Mendelian randomization-inferred associations for GP-5, GRN, and M
166 t of BMI on diabetes by using four Mendelian randomization methods, where a total of 76 independent B
167 aintenance medication to study medication at randomization.Methods: Exacerbations and change from bas
168 causal associations with 2-sample Mendelian randomization (MR) accounting for genetic covariation be
170 the UK Biobank population and used Mendelian randomization (MR) analyses using the ~750 000 UK-Bioban
175 genome-wide analyses, we conducted Mendelian randomization (MR) analysis to examine their relations t
176 performed two-sample bidirectional Mendelian randomization (MR) analysis to prioritize our results.
178 disease development, we performed Mendelian randomization (MR) analysis.Methods: RNA sequencing was
181 rtal maturation and asthma through Mendelian randomization (MR) and explored the joint effect of over
182 (n = 321,047) by using two-sample Mendelian randomization (MR) and then replicated this investigatio
183 sed as instrumental variables in a Mendelian randomization (MR) approach to identify the causal featu
184 tic variation in height within the Mendelian randomization (MR) framework to determine whether height
188 yses and 2-sample regression-based Mendelian randomization (MR) mediation analysis were performed to
189 Here, we present a probabilistic Mendelian randomization (MR) method, PMR-Egger, for TWAS applicati
190 analyses, including complementary Mendelian randomization (MR) methods, and secondary alcohol consum
192 useful tools for causal analyses: Mendelian randomization (MR) studies have provided evidence that e
194 The objective of this two-sample Mendelian randomization (MR) study was to analyze their causal ass
195 d genetic variants is critical for Mendelian randomization (MR) to correctly infer risk factors causi
201 its implemented through two-sample Mendelian randomization (MR), we sought to strengthen the evidence
204 omization (SVMR) and multivariable Mendelian randomization (MVMR) to simultaneously assess the indepe
209 d mouth disease (FMD) outbreaks using simple randomization of locations to premises configurations pr
212 rative annotation using two-sample Mendelian randomization of these methylation regions highlight pot
214 Adults (aged >=18 years) were eligible for randomization on day 5 (+/-1 d) of microbiologically eff
220 e event rate increased following the 3-month randomization point with biventricular single-site pacin
221 lation, cross-trait meta-analysis, Mendelian randomization, polygenic risk score, and functional anal
222 gs were generally mild and tended to peak at randomization, possibly contributing to the lack of bene
223 tatistically significant improvement in post-randomization progression-free survival compared with in
226 omen in UF-1 and 378 women in UF-2 underwent randomization, received elagolix or placebo, and were in
227 to -0.02), which in multivariable Mendelian randomization remained stable after adjustments for LDL-
230 apid recruitment of participants; use of pre-randomization run-in periods to improve participant adhe
232 the modified Rankin scale at 6 months after randomization; scores range from 0 (no symptoms) to 6 (d
234 up for decision support, should occur before randomization (so that only 1 subgroup is randomized) or
236 ays for hypertension identified in Mendelian randomization studies and highlight the opportunities fo
238 ormal testing of this interaction (Mendelian randomization studies assessing whether T2D is causal fo
242 ta-analysis of this and a previous Mendelian randomization study (OR 1.08; 95% CI 1.02, 1.14; P = 0.0
251 conducted 2-sample single-variable Mendelian randomization (SVMR) and multivariable Mendelian randomi
252 andomization can eliminate the benefits that randomization, the most powerful tool in clinical trials
254 comes and 3 composite ischemic outcomes from randomization through 30 days and from 30 days to 6 mont
255 24 months in a phase III clinical trial with randomization to 2 drug dosages (0.5 mg and 2.0 mg ranib
256 risk of bleeding and ischemic outcomes from randomization to 30 days and from 30 days to 6 months.
258 oral capsules providing 1.2 g/d of DHA from randomization to 36 weeks' postmenstrual age and 229 mot
260 th placebo, did not affect survival, whereas randomization to an ICD significantly decreased all-caus
264 of age) depressed children before and after randomization to either 18 weeks of Parent-Child Interac
266 d with plasma proteins followed by Mendelian randomization to infer causal relations of proteins for
267 We applied summary-data-based Mendelian randomization to integrate ADHD and ASD GWAS data with f
268 Can clinical trials that utilize individual randomization to intervention and comparison be successf
269 bsequently used summary-data-based Mendelian randomization to investigate if the same variant influen
271 58) and weight (0.61 vs 0.82; P = .453) from randomization to month 36 were comparable, whereas growt
274 older patients with cardiovascular disease, randomization to ramipril had no impact on the incidence
275 velopment and promulgation of tools to apply randomization to real-world data are needed to build the
277 ned to undergo surgery, the median time from randomization to surgery was 3.1 weeks; of the 64 patien
278 ystem blockade that had been adjusted before randomization to the maximum dose on the manufacturer's
279 bout contamination of an intervention across randomization units within clusters (for example, patien
284 imary endpoint was thrombus size at the post-randomization visit with platelet reactivity following s
286 The median duration of symptoms prior to randomization was 5 days (interquartile range [IQR], 3 t
295 ing of licensed medications: using Mendelian randomization, we found evidence that low expression of
296 Using the framework of 2-sample Mendelian randomization, we found that a 1-SD genetic elevation of
297 station, genetic correlations and Mendelian randomization, we show that there is a substantial genet
300 d call for a broader use of outcome-adaptive randomization when designing clinical trials to test mul