1 However, our multivariate searchlight
analyses were able to reliably decode the identity of distinc
2 Analyses were adjusted for confounding by time, cluster effec
3 Analyses were adjusted for confounding using inverse probabil
4 Analyses were adjusted for covariates and multiple hypothesis
5 Potential correlates included in our
analyses were age, marital status, marriage type, whether pre
6 Statistical
analyses were carried out with ANOVA and multiple linear regr
7 Polysome
analyses were combined with microarray measurements to identi
8 These
analyses were complemented with inactivation of FOXA1 and PTE
9 Secondary
analyses were conducted among those with HIV-infection.
10 Prespecified subgroup
analyses were conducted for parity (nulliparous/multiparous),
11 ptive analyses and multivariable binary logistic regression
analyses were conducted on weighted data.
12 A series of downstream
analyses were conducted separately in male and female individ
13 Sensitivity
analyses were conducted to assess the impact of cross-study v
14 Replication
analyses were conducted using a large biorepository database
15 Subgroup and sensitivity
analyses were conducted using an ICU cohort and Acute Physiol
16 Survival
analyses were conducted using an inverse probability weighted
17 Subgroup
analyses were conducted using income quartiles and race.
18 Sensitivity
analyses were consistent with the main results.
19 All
analyses were descriptive.
20 ting of both intention-to-treat (ITT) and per-protocol (PP)
analyses were done in 165 (72.7%) studies.
21 LD score regression
analyses were first used to estimate the genetic correlations
22 Analyses were intent-to-treat.
23 Cerebrospinal fluid
analyses were negative for SARS-CoV-2 in all patients tested
24 The main limitations of this study are that most
analyses were performed at the national rather than individua
25 Efficacy
analyses were performed by applying RECIST 1.1 criteria to CN
26 Multiple linear regression
analyses were performed for 12 cortical and subcortical gray
27 Standard fixed-effects meta-
analyses were performed for each comparison, and a meta-regre
28 Subgroup
analyses were performed for sex, sample size, displacement du
29 standing this high mortality, detailed clinical virological
analyses were performed in specimens from 180 H5N1 patients,
30 Bacterial 16S ribosomal RNA
analyses were performed on stool samples from 405 HIV-infecte
31 Additional sensitivity
analyses were performed to assess the effect of missing data.
32 Multivariable linear regression
analyses were performed to evaluate the association between m
33 vival (Cox regression and Kaplan-Meier), and center effects
analyses were performed to examine the association of ECLS us
34 Univariable and multivariable logistic regression
analyses were performed to identify parameters that were asso
35 Multivariate
analyses were performed to identify the risk factors associat
36 Mendelian randomization
analyses were performed to infer phenome-wide effects of free
37 Adjusted logistic regression models and meta-
analyses were performed.
38 lcin [OCN], and tartrate-resistant acid phosphatase [TRAP])
analyses were performed.
39 e estimates, dose response curve regression, and comparison
analyses were performed.
40 Univariate, multivariate, and time-series
analyses were performed.
41 Multiple sensitivity
analyses were performed.
42 rd ratios (HRs) and receiver operating characteristic curve
analyses were performed.
43 and quantitative polymerase chain reaction and Western blot
analyses, were performed to assess the potency and to charact
44 All
analyses were stratified by race/ethnicity in the main analys
45 The aims of the present exploratory
analyses were to: (i) characterize the effect of verubecestat
46 Intention-to-treat (ITT) and per-protocol (PP)
analyses were undertaken, along with subgroup analyses of >=7
47 Random effects dose-response meta-
analyses were used to estimate summary relative risks (SRRs)
48 XRD and FTIR
analyses were used to explain changes in protein structure an
49 Spatial
analyses were used to identify hotspots for malaria incidence
50 Competing risk and Cox regression
analyses were used to investigate the association between pAF