1 rum lipid profile and RHOA was modeled using
multivariable logistic regression.
2 or extracorporeal support were analyzed with
multivariable logistic regression.
3 compared outcome measures across groups with
multivariable logistic regression.
4 iation between E/e and PGD was assessed with
multivariable logistic regression.
5 , and transplant factors were examined using
multivariable logistic regression.
6 then adjusted for clinical parameters using
multivariable logistic regression.
7 ary treatment modality were identified using
multivariable logistic regression.
8 Analysis was performed using
multivariable logistic regression.
9 radiotherapy deferral were identified using
multivariable logistic regression.
10 r 31, 2010) using univariate comparisons and
multivariable logistic regression.
11 ated with unplanned rehospitalizations using
multivariable logistic regression.
12 erse events using descriptive statistics and
multivariable logistic regression.
13 r (PCP)-directed care-were assessed by using
multivariable logistic regression.
14 unication difficulties was investigated with
multivariable logistic regression.
15 Adjusted odds ratios were calculated using
multivariable logistic regression.
16 s were analyzed using Fisher exact tests and
multivariable logistic regression.
17 Predictors of RLAR were modeled with
multivariable logistic regression.
18 pendent predictors of CMV were identified by
multivariable logistic regression.
19 ith in-hospital mortality was analyzed using
multivariable logistic regression.
20 ratios (ORs) and 95% CIs with random-effects
multivariable logistic regression.
21 Predicted rates of HAIs were estimated using
multivariable logistic regression.
22 refusing HIV testing were investigated using
multivariable logistic regression.
23 ategory (CPC) score </=2 was estimated using
multivariable logistic regression.
24 expansion, and outcome was investigated with
multivariable logistic regression.
25 ing to body temperature were estimated using
multivariable logistic regression.
26 cinated versus unvaccinated participants via
multivariable logistic regression.
27 sporin, comparing interventions to SOC using
multivariable logistic regression.
28 Odds ratios (ORs) were computed by means of
multivariable logistic regression.
29 ns between demographic factors and DED using
multivariable logistic regression.
30 ation with asthma at 4 years of age by using
multivariable logistic regression.
31 Base from 2006 to 2011 were identified using
multivariable logistic regression.
32 s of surveillance harms were evaluated using
multivariable logistic regression.
33 bjects with versus without acute cSAH, using
multivariable logistic regression.
34 ored through use of analysis of variance and
multivariable logistic regression.
35 omplications and mortality was determined by
multivariable logistic regression.
36 signed-rank tests, Kruskal-Wallis tests and
multivariable logistic regressions.
37 nd 6- to 12-month follow-up and analyzed via
multivariable logistic regressions.
38 Multivariable logistic regression accounting for hospita
39 striatal connectivity pattern (assessed via
multivariable logistic regression)
across striatal subre
40 n P/F was associated with reduced mortality (
multivariable logistic regression;
adjusted odds ratio,
41 Multivariable logistic regression adjustment was perform
42 Multivariable logistic regression after coarsened exact
43 or 33% of baseline volume) was determined by
multivariable logistic regression after controlling for
44 s, and R0 resection rates was evaluated with
multivariable logistic regression analyses and for overa
45 Multivariable logistic regression analyses based on Ande
46 Multivariable logistic regression analyses revealed that
47 We used
multivariable logistic regression analyses to describe r
48 We used
multivariable logistic regression analyses to identify f
49 We used
multivariable logistic regression analyses to identify p
50 d descriptive (univariate and bivariate) and
multivariable logistic regression analyses to longitudin
51 Multivariable logistic regression analyses were applied
52 Univariate and
multivariable logistic regression analyses were conducte
53 Multivariable logistic regression analyses were conducte
54 Descriptive and
multivariable logistic regression analyses were performe
55 high-risk plaque and NAFLD, univariable and
multivariable logistic regression analyses were performe
56 Multivariable logistic regression analyses were performe
57 Multivariable logistic regression analyses were then per
58 Multivariable logistic regression analyses were undertak
59 Univariate and
multivariable logistic regression analyses were used to
60 Univariate and
multivariable logistic regression analyses were used to
61 Multivariable logistic regression analyses were used to
62 We used
multivariable logistic regression analyses with 3-level
63 We performed
multivariable logistic regression analyses, using the ge
64 tment and nonpublication were explored using
multivariable logistic regression analyses.
65 by stage and risk of basal cell carcinoma in
multivariable logistic regression analyses.
66 by day 30 (primary endpoint) was assessed by
multivariable logistic regression analyses.
67 ors of these end points were evaluated using
multivariable logistic regression analyses.
68 treatment of breast cancer were assessed in
multivariable logistic regression analyses.
69 pendently predicted in-hospital mortality in
multivariable logistic regression analysis (odds ratio,
70 Multivariable logistic regression analysis demonstrated
71 Multivariable logistic regression analysis demonstrated
72 A
multivariable logistic regression analysis determined th
73 Multivariable logistic regression analysis identified ti
74 Multivariable logistic regression analysis predicting mo
75 However,
multivariable logistic regression analysis showed stress
76 Multivariable logistic regression analysis showed that n
77 blockers, as compared to non-users, we used
multivariable logistic regression analysis to calculate
78 We used mixed
multivariable logistic regression analysis to identify c
79 We conducted
multivariable logistic regression analysis to identify r
80 d burden of infectious disease, and a pooled
multivariable logistic regression analysis was conducted
81 Multivariable logistic regression analysis was performed
82 Multivariable logistic regression analysis was performed
83 Multivariable logistic regression analysis was used to a
84 Univariate followed by
multivariable logistic regression analysis was used to d
85 Multivariable logistic regression analysis was used to i
86 ociation between CP and SNPs was examined by
multivariable logistic regression analysis with adjustme
87 d chronic obstructive pulmonary disease in a
multivariable logistic regression analysis, LV mass inde
88 In
multivariable logistic regression analysis, medical and
89 In a
multivariable logistic regression analysis, only moderat
90 Prior to
multivariable logistic regression analysis, the associat
91 Multivariable logistic regression analysis, using the ca
92 Using univariable and
multivariable logistic regression analysis, we explored
93 infection were examined using bivariable and
multivariable logistic regression analysis.
94 s and pathCR were studied in univariable and
multivariable logistic regression analysis.
95 djusted and adjusted odds ratios (ORs) using
multivariable logistic regression analysis.
96 nical predictors of IE were identified using
multivariable logistic regression analysis.
97 disease in children aged 7 months-6 years in
multivariable logistic regression and a 30% reduction in
98 Risk factors were evaluated using
multivariable logistic regression and adjusted for appro
99 We used
multivariable logistic regression and calculated standar
100 Discrimination was similar for the
multivariable logistic regression and CHAID tree models,
101 fect of the policy on home dialysis use with
multivariable logistic regression and compared the effec
102 Multivariable logistic regression and competing risk mod
103 ny relationship with inhibitor occurrence by
multivariable logistic regression and determined that de
104 Multivariable logistic regression and difference-in-diff
105 We used a set of statistical strategies (
multivariable logistic regression and propensity score [
106 We performed a cohort study, using
multivariable logistic regression and propensity score a
107 Multivariable logistic regression and propensity score-m
108 By using
multivariable logistic regression and PS-adjusted models
109 Hodges-Lehmann estimator, Bland-Altman test,
multivariable logistic regression,
and receiver operatin
110 Descriptive analyses,
multivariable logistic regressions,
and zero-truncated n
111 Multivariable logistic regression assessed factors assoc
112 Multivariable logistic regression assessed whether socio
113 In
multivariable logistic regression,
cases had lower age-a
114 modified intention-to-treat analysis, using
multivariable logistic regression controlling for potent
115 Multivariable logistic regression controlling for the ma
116 In
multivariable logistic regression,
cortical superficial
117 Multivariable logistic regression determined the best pr
118 Multivariable logistic regression evaluated factors, inc
119 Multivariable logistic regression examined sociodemograp
120 We used
multivariable logistic regression for all readmissions a
121 Multivariable logistic regressions found OABP associated
122 In
multivariable logistic regression,
high safe patient han
123 Multivariable logistic regression identified baseline se
124 Multivariable logistic regression identified independent
125 Multivariable logistic regression identified variables a
126 (LODS) score, and a new model derived using
multivariable logistic regression in a split sample, the
127 Multivariable logistic regression involving 45 preoperat
128 Bi- and
multivariable logistic regression,
Kaplan-Meier analysis
129 In a
multivariable logistic regression model (with results re
130 -expiratory pressure) on ICU mortality using
multivariable logistic regression model and Cox-proporti
131 A
multivariable logistic regression model fit to endotype
132 We developed and validated a
multivariable logistic regression model for predicting d
133 A
multivariable logistic regression model of factors signi
134 A
multivariable logistic regression model showed a lower p
135 of outcome at the 5% level (P < 0.0386) in a
multivariable logistic regression model that considered
136 es of reoperation were risk adjusted using a
multivariable logistic regression model that included pa
137 In a
multivariable logistic regression model the sex differen
138 nd Injury Severity Score were entered into a
multivariable logistic regression model to calculate a p
139 We used a
multivariable logistic regression model to compute the c
140 n to estimate crude prevalence and created a
multivariable logistic regression model to identify risk
141 A
multivariable logistic regression model was applied to d
142 A
multivariable logistic regression model was constructed
143 A
multivariable logistic regression model with generalized
144 uated factors associated with IBR by using a
multivariable logistic regression model with the general
145 In a
multivariable logistic regression model, PKD2 mutation l
146 In a
multivariable logistic regression model, race/ethnicity
147 In a
multivariable logistic regression model, RSV was associa
148 In a
multivariable logistic regression model, the magnitude o
149 atory univariate P<0.10) were entered into a
multivariable logistic regression model.
150 differences in severity were observed in the
multivariable logistic regression model.
151 Multivariable logistic regression modeling assessed the
152 stectomy for early-stage breast cancer using
multivariable logistic regression modeling to adjust for
153 In
multivariable logistic regression modeling, age more tha
154 ng Antiretrovirals and Nutrition Study using
multivariable logistic regression modeling.
155 Multivariable logistic regression modelling was used to
156 pointment requests in general practice using
multivariable logistic regression modelling.
157 locum tenens physicians were estimated using
multivariable logistic regression models adjusted for be
158 Multivariable logistic regression models adjusted for co
159 4; 95% CI, 0.82-1.08; P = .36) in respective
multivariable logistic regression models adjusting for a
160 We fit
multivariable logistic regression models among baseline
161 opositivity predictors were identified using
multivariable logistic regression models and C statistic
162 Multivariable logistic regression models assessed indepe
163 x proportional hazards regression models and
multivariable logistic regression models assessed the in
164 Multivariable logistic regression models compared caregi
165 In
multivariable logistic regression models controlling for
166 Multivariable logistic regression models developed on ma
167 Multivariable logistic regression models estimated the a
168 Multivariable logistic regression models examined a prio
169 Multivariable logistic regression models examined expend
170 Trends in ACP subtypes were tested, and
multivariable logistic regression models examined for as
171 Multivariable logistic regression models fitted the asso
172 Multivariable logistic regression models for 30-, 60-, a
173 In
multivariable logistic regression models for remission o
174 Univariable and
multivariable logistic regression models identified biom
175 Multivariable logistic regression models indicated that
176 chological financial hardship using separate
multivariable logistic regression models stratified by a
177 We used
multivariable logistic regression models to assess effec
178 These measures were tested by using
multivariable logistic regression models to determine wh
179 We used
multivariable logistic regression models to identify hos
180 Univariate then
multivariable logistic regression models were constructe
181 Multivariable logistic regression models were created to
182 Multivariable logistic regression models were developed
183 Multilevel
multivariable logistic regression models were fitted, ad
184 Multivariable logistic regression models were used to as
185 Multivariable logistic regression models were used to es
186 Cochran-Armitage tests for trend and
multivariable logistic regression models were used to ev
187 Multivariable logistic regression models were used to ex
188 Multivariable logistic regression models were used to ex
189 Adjusted odds ratios were estimated by
multivariable logistic regression models with an L1 pena
190 Multivariable logistic regression models with several de
191 In
multivariable logistic regression models with stepwise s
192 We used
multivariable logistic regression models, adjusted for c
193 and low/low exposure groupings in each of 4
multivariable logistic regression models, adjusted for p
194 In
multivariable logistic regression models, overweight/obe
195 ed with run-in noncompletion were defined in
multivariable logistic regression models.
196 ardial infarction by developing hierarchical
multivariable logistic regression models.
197 and faculty physicians using univariate and
multivariable logistic regression models.
198 Adjusted odds ratios were estimated by
multivariable logistic regression models.
199 and clinical importance were included in the
multivariable logistic regression models.
200 were independently associated with asthma in
multivariable logistic regression models.
201 anel data structure to support discrete-time
multivariable logistic regression models.
202 ared between the weight loss groups by using
multivariable logistic regression models.
203 confidence intervals (CI) using conditional
multivariable logistic-regression models among 276 patie
204 Multivariable logistic regression of a large internation
205 We used
multivariable logistic regression on a random split coho
206 In
multivariable logistic regression,
PaO2/FIO2 at 24 hours
207 Data were analyzed by
multivariable logistic regression,
parametric survival m
208 After
multivariable logistic regression,
patients transferred
209 Multivariable logistic regression predicting receipt of
210 Analyses incorporated
multivariable logistic regression,
propensity scoring, a
211 d incidental splenectomy were analyzed using
multivariable logistic regression,
providing odds ratios
212 Multivariable logistic regression showed that significan
213 We used
multivariable logistic regression to assess factors asso
214 We used
multivariable logistic regression to assess the associat
215 We used
multivariable logistic regression to assess the reasons
216 ween patients with CAP and controls and used
multivariable logistic regression to calculate attributa
217 We used
multivariable logistic regression to compare the odds of
218 greement and kappa statistics, and performed
multivariable logistic regression to determine predictor
219 We used
multivariable logistic regression to determine the odds
220 We used
multivariable logistic regression to determine whether g
221 We used
multivariable logistic regression to develop a propensit
222 We used
multivariable logistic regression to estimate a differen
223 We used
multivariable logistic regression to estimate vaccine ef
224 We used
multivariable logistic regression to evaluate independen
225 We then performed
multivariable logistic regression to examine racial diff
226 Finally, we used
multivariable logistic regression to examine the factors
227 We used
multivariable logistic regression to explore patient and
228 n of exposure to multiple allergens and used
multivariable logistic regression to identify independen
229 We used
multivariable logistic regression to identify patient an
230 Measures use hierarchical
multivariable logistic regression to identify statistica
231 a subsequent patient-level analysis we used
multivariable logistic regression to model prostate canc
232 We used case-only
multivariable logistic regression to test for heterogene
233 ear preintervention period (2007-2009) using
multivariable logistic regressions to control for age, s
234 ed evidence for heterotypic immunity through
multivariable logistic regression using a generalized es
235 ed independent predictors of outcome through
multivariable logistic regression using a per-protocol a
236 On
multivariable logistic regression,
variables associated
237 Multivariable logistic regression was adjusted for relev
238 Multivariable logistic regression was done to analyse th
239 e primary endpoint was 14-day mortality, and
multivariable logistic regression was performed for outc
240 Multivariable logistic regression was performed to asses
241 Multivariable logistic regression was performed to estim
242 Multivariable logistic regression was performed to ident
243 Multivariable logistic regression was performed to ident
244 Multivariable logistic regression was performed to inves
245 Multivariable logistic regression was performed.
246 Multivariable logistic regression was used for the analy
247 es nationwide and in-hospital mortality, and
multivariable logistic regression was used to adjust for
248 Multivariable logistic regression was used to assess ass
249 Multivariable logistic regression was used to assess rel
250 Multivariable logistic regression was used to assess the
251 Multivariable logistic regression was used to assess the
252 Multivariable logistic regression was used to assess the
253 Multivariable logistic regression was used to assess the
254 Multivariable logistic regression was used to calculate
255 Multivariable logistic regression was used to compare de
256 Multivariable logistic regression was used to compare ho
257 Multivariable logistic regression was used to determine
258 Multivariable logistic regression was used to determine
259 Analysis:
Multivariable logistic regression was used to determine
260 Multivariable logistic regression was used to determine
261 Multivariable logistic regression was used to determine
262 Multivariable logistic regression was used to determine
263 Multivariable logistic regression was used to determine
264 Time trends were identified and
multivariable logistic regression was used to determine
265 Multivariable logistic regression was used to estimate a
266 After case-mix adjustment,
multivariable logistic regression was used to estimate t
267 Hierarchical
multivariable logistic regression was used to estimate t
268 Multivariable logistic regression was used to estimate t
269 Binary
multivariable logistic regression was used to estimate t
270 Multivariable logistic regression was used to evaluate f
271 Multivariable logistic regression was used to evaluate t
272 Multivariable logistic regression was used to evaluate t
273 Patient-level
multivariable logistic regression was used to evaluate t
274 Multivariable logistic regression was used to evaluate t
275 Weighted
multivariable logistic regression was used to examine th
276 Multivariable logistic regression was used to examine th
277 Multivariable logistic regression was used to explore th
278 Multivariable logistic regression was used to identify f
279 Multivariable logistic regression was used to identify f
280 Multivariable logistic regression was used to identify i
281 bed drugs data from 2002-2013 were reviewed;
multivariable logistic regression was used to identify p
282 Multivariable logistic regression was used to investigat
283 Multivariable logistic regression was used to model cova
284 Multivariable logistic regression was used to model the
285 Multivariable logistic regression was used to obtain pre
286 Multivariable logistic regression was used to study asso
287 Multivariable logistic regression was used to study asso
288 Multivariable logistic regression was used to study asso
289 Multivariable logistic regression was used to verify the
290 Using
multivariable logistic regression,
we assessed correlate
291 Using
multivariable logistic regression,
we assessed the assoc
292 Using
multivariable logistic regression,
we assessed the proba
293 Using
multivariable logistic regression,
we estimated the inde
294 Statistical analysis was performed by using
multivariable logistic regression,
Welch t test, Z test,
295 t test; and analysis of variance) as well as
multivariable logistic regressions were carried out to c
296 Multivariable logistic regressions were used to analyze
297 Multivariable logistic regressions were used to determin
298 al methods: univariable logistic regression,
multivariable logistic regression with and without clust
299 Multivariable logistic regression with generalized estim
300 We used
multivariable logistic regressions,
with adjustment for