1 ors associated with second opinion use were evaluated using
logistic regression.
2 was performed with the chi(2) test, the Student t test, and
logistic regression.
3 or death within 14 days of LVAD were assessed with stepwise
logistic regression.
4 Adjusted odds ratios were calculated using multivariable
logistic regression.
5 as compared with uptake in the non-incentivised group using
logistic regression,
adjusting for community and number of ch
6 We conducted conditional
logistic regression analyses adjusted for body mass index, sm
7 Logistic regression analyses examined the association between
8 chemokines were compared between groups using multivariate
logistic regression analyses, adjusting for maternal age, eth
9 e treatment of breast cancer were assessed in multivariable
logistic regression analyses.
10 Univariate and mixed-effects
logistic regression analysis controlling for center effect we
11 We used
logistic regression analysis for remission and zero-inflated
12 Introducing these variables to a
logistic regression analysis showed areas under the receiver-
13 We performed multinomial
logistic regression analysis to assess the weighting of histo
14 Multiple
logistic regression analysis was used to estimate adjusted od
15 Multivariable ordinal
logistic regression analysis with an interaction term was use
16 and identified factors associated with 30-day mortality in
logistic regression analysis.
17 nd its accuracy to predict MDD, using area under the curve,
logistic regression,
and linear mixed model analyses, was tes
18 This analysis demonstrates a simple
logistic regression approach for testing a priori hypotheses
19 In multivariable
logistic regression,
high safe patient handling behaviors wer
20 Logistic regression identified that dwell time was the only r
21 On multivariate
logistic regression,
lower baseline GDF-15 was associated wit
22 A multivariate
logistic regression model predicting referral to PC was creat
23 A multivariable
logistic regression model was constructed to quantify the adj
24 A propensity score-weighted
logistic regression model was used to adjust for confounders.
25 A hierarchical
logistic regression model was used to identify predictors of
26 Expected mortality was obtained from multilevel
logistic regression model, adjusting for demographics, mechan
27 In a
logistic regression model, more catatonia signs were associat
28 Conditional
logistic regression models adjusting for risk factors evaluat
29 We used published data to create
logistic regression models comparing annual trends in the rep
30 preguideline and postguideline periods in the hierarchical
logistic regression models for all of the risk groups.
31 Logistic regression models identified characteristics associa
32 We used
logistic regression models to estimate associations of PFASs
33 Conditional
logistic regression models were used to estimate odds ratios
34 Multiple linear and
logistic regression models were used to examine relations of
35 sis of differences in percent effect changes in conditional
logistic regression models with and without additional adjust
36 effect of treatment delay on treatment effectiveness using
logistic regression models.
37 maternal diseases and ADHD in offspring were analyzed using
logistic regression models.
38 On multivariate
logistic regression,
only age younger than 50 years, baseline
39 Firth's
logistic regression provides a concise statistical inference
40 We used
logistic regression to estimate the association between epile
41 We used
logistic regression to investigate factors associated with re
42 ree risk classes (low, moderate, and high) were created and
logistic regression was undertaken to evaluate the optimal pr
43 Time trends were identified and multivariable
logistic regression was used to determine sociodemographic fa
44 Logistic regression was used to evaluate the association betw
45 Multivariable
logistic regression was used to explore the association of di
46 Logistic regression was used to identify risk factors for new
47 Using multiple
logistic regression,
we identified significant associations b
48 Multivariable
logistic regression with generalized estimating equations was
49 We used multivariate
logistic regression with PCR-confirmed influenza infection as
50 Multivariate
logistic regression with restricted cubic splines was utilize