1 ST were independently associated with PNF on
multivariate logistic regression.
2 e (stressful) experiences were studied using
multivariate logistic regression.
3 and airway obstruction within asthmatics via
multivariate logistic regression.
4 between women with and without CHD by using
multivariate logistic regression.
5 lasms and malignancy were evaluated by using
multivariate logistic regression.
6 CSF discordance/escape were identified using
multivariate logistic regression.
7 the relative rates (RRs) were estimated with
multivariate logistic regression.
8 with GCL thickness loss were identified with
multivariate logistic regression.
9 ustment for patient-level risk factors, with
multivariate logistic regression.
10 s was tested through univariate analysis and
multivariate logistic regression.
11 hysical health symptoms were estimated using
multivariate logistic regression.
12 environmental predictors, in a hierarchical
multivariate logistic regression.
13 and poor oral hygiene were determined using
multivariate logistic regression.
14 of 70-79 mumol/L were then determined using
multivariate logistic regression.
15 s on treatment outcomes was assessed through
multivariate logistic regression.
16 eruginosa ventilator-associated pneumonia by
multivariate logistic regression.
17 eceiving an echinocandin were assessed using
multivariate logistic regression.
18 h OAC initiations were also identified using
multivariate logistic regression.
19 atment acceptance and completion rates using
multivariate logistic regression.
20 ions with visual outcome were analyzed using
multivariate logistic regression.
21 d the possible predictors of clustering with
multivariate logistic regression.
22 receiver operating characteristic curves and
multivariate logistic regression.
23 ion and 30-day survival were estimated using
multivariate logistic regression.
24 iables was tested by univariate analysis and
multivariate logistic regression.
25 dentified from 23 baseline measures by using
multivariate logistic regression.
26 eristics were evaluated using univariate and
multivariate logistic regressions.
27 Using
multivariate logistic regression,
a full prediction mode
28 (DGF + SGF) from IGF remained significant in
multivariate logistic regression accounting for cold isc
29 f miscarriage by ancestry was assessed using
multivariate logistic regression,
adjusting for parity,
30 square tests or the Fisher's exact test) and
multivariate (logistic regression after adjusting for ag
31 posures and 2-month culture conversion using
multivariate logistic regression after adjusting for MIC
32 In
multivariate logistic regression analyses adjusting by a
33 Using
multivariate logistic regression analyses four SNPs were
34 Univariate and
multivariate logistic regression analyses have been perf
35 Multivariate logistic regression analyses indicated BMI
36 Multivariate logistic regression analyses revealed that
37 Multivariate logistic regression analyses showed older a
38 Multivariate logistic regression analyses showed that pe
39 Multivariate logistic regression analyses showed that th
40 In univariate and
multivariate logistic regression analyses the algorithm
41 Data were analyzed using univariate and
multivariate logistic regression analyses to determine s
42 We performed univariate and
multivariate logistic regression analyses to identify va
43 Univariate and
multivariate logistic regression analyses were applied t
44 Uni- and
multivariate logistic regression analyses were performed
45 Simple and
multivariate logistic regression analyses were performed
46 Univariate and
multivariate logistic regression analyses were performed
47 Multivariate logistic regression analyses were undertake
48 Univariate and
multivariate logistic regression analyses were used to i
49 Univariate and
multivariate logistic regression analyses were used to i
50 hemokines were compared between groups using
multivariate logistic regression analyses, adjusting for
51 After uni- and
multivariate logistic regression analyses, surgery by EL
52 with failure to vaccinate using spatial and
multivariate logistic regression analyses.
53 th RE and remained a positive association in
multivariate logistic regression analysis (adjusted OR(B
54 ratio, 0.64; 95% CI, 0.22-1.67; P = .37) or
multivariate logistic regression analysis (odds ratio, 1
55 t predictor of PnR success at 12 months in a
multivariate logistic regression analysis (P = 0.006).
56 a more benign clinical long-term outcome in
multivariate logistic regression analysis (P = 0.04; odd
57 Multivariate logistic regression analysis also showed Ve
58 Subsequent
multivariate logistic regression analysis and receiver o
59 By using
multivariate logistic regression analysis and selected p
60 In
multivariate logistic regression analysis comparing fact
61 Multivariate logistic regression analysis confirmed that
62 Multivariate logistic regression analysis demonstrated t
63 Multivariate logistic regression analysis demonstrated t
64 Multivariate logistic regression analysis demonstrated t
65 Multivariate logistic regression analysis identified cry
66 Multivariate logistic regression analysis identified sex
67 Multivariate logistic regression analysis in the derivat
68 Multivariate logistic regression analysis of the validat
69 On
multivariate logistic regression analysis older patient'
70 Outcomes were categorized and
multivariate logistic regression analysis performed to i
71 Multivariate logistic regression analysis revealed a sig
72 Multivariate logistic regression analysis revealed that
73 Multivariate logistic regression analysis revealed that
74 Multivariate logistic regression analysis revealed that
75 Multivariate logistic regression analysis showed a signi
76 Multivariate logistic regression analysis showed signifi
77 Multivariate logistic regression analysis showed that ca
78 Multivariate logistic regression analysis showed that ci
79 Multivariate logistic regression analysis showed that hi
80 Multivariate logistic regression analysis showed that hi
81 Multivariate logistic regression analysis showed that in
82 Multivariate logistic regression analysis showed women w
83 Multivariate logistic regression analysis suggested a po
84 Multivariate logistic regression analysis suggested that
85 Furthermore, the
multivariate logistic regression analysis suggests that
86 treal bevacizumab under local sedation using
multivariate logistic regression analysis to control for
87 As to the second objective, we used
multivariate logistic regression analysis to identify pa
88 o compare differences between subtypes, with
multivariate logistic regression analysis used to assess
89 Multivariate logistic regression analysis was conducted
90 Multivariate logistic regression analysis was performed
91 Multivariate logistic regression analysis was performed
92 t categories 1-5 between the two groups, and
multivariate logistic regression analysis was performed
93 Multivariate logistic regression analysis was performed
94 A
multivariate logistic regression analysis was performed
95 2:1 randomized in a training sample (where a
multivariate logistic regression analysis was run) and a
96 Multivariate logistic regression analysis was undertaken
97 Multivariate logistic regression analysis was used to ca
98 Multivariate logistic regression analysis was used to es
99 Multivariate logistic regression analysis was used to ev
100 Backward
multivariate logistic regression analysis was utilized t
101 Factors that predicted poor VA in
multivariate logistic regression analysis were nystagmus
102 Univariate and
multivariate logistic regression analysis were performed
103 Using
multivariate logistic regression analysis with leave-1-o
104 A chi test and a
multivariate logistic regression analysis with study cha
105 In
multivariate logistic regression analysis, a positive CR
106 In
multivariate logistic regression analysis, African-Ameri
107 On
multivariate logistic regression analysis, after adjusti
108 By
multivariate logistic regression analysis, factors assoc
109 In
multivariate logistic regression analysis, factors indep
110 In the
multivariate logistic regression analysis, increased tim
111 On
multivariate logistic regression analysis, independent r
112 In the
multivariate logistic regression analysis, individuals l
113 In a
multivariate logistic regression analysis, infants treat
114 On
multivariate logistic regression analysis, LPF-VT was mo
115 In
multivariate logistic regression analysis, neither LPI l
116 In
multivariate logistic regression analysis, PHH after RYG
117 In a
multivariate logistic regression analysis, physical inac
118 On
multivariate logistic regression analysis, PSMA and seru
119 indicators were included in a univariate and
multivariate logistic regression analysis, subsequently
120 At
multivariate logistic regression analysis, the E167K var
121 On
multivariate logistic regression analysis, the factors p
122 However, in
multivariate logistic regression analysis, uNGAL is not
123 Using
multivariate logistic regression analysis, white recipie
124 predicting ICU survival were analyzed using
multivariate logistic regression analysis.
125 ach significant parameter was entered into a
multivariate logistic regression analysis.
126 h those of patients without leakage by using
multivariate logistic regression analysis.
127 Final risk factors were identified using
multivariate logistic regression analysis.
128 Multivariate logistic regression and neural network anal
129 Multivariate logistic regression and survival analysis w
130 Multivariate logistic regression and the assumption-free
131 during, and after bundle implementation with
multivariate logistic regression and used mediation anal
132 Multivariate logistic regressions and propensity scores
133 We performed descriptive statistics,
multivariate logistic regression,
and Kaplan-Meier survi
134 We performed univariate,
multivariate logistic regression,
and propensity analyse
135 We used a hierarchical
multivariate logistic regression approach to evaluate th
136 Multivariate logistic regression assessed factors affect
137 Multivariate logistic regression assessed sociodemograph
138 On
multivariate logistic regression,
baseline BE length (od
139 In
multivariate logistic regression,
cerebral abscess was a
140 Multivariate logistic regression demonstrated that male
141 Multivariate logistic regression demonstrated that VT wa
142 On
multivariate logistic regression,
DPDS [odds ratio (OR)
143 We performed descriptive analysis and
multivariate logistic regressions examining characterist
144 Using
multivariate logistic regression,
factors independently
145 ation of 5 miRNAs, identified by an unbiased
multivariate logistic regression followed by cross-valid
146 Multivariate logistic regression found that a diagnosis
147 Multivariate logistic regression identified 87 metabolit
148 Multivariate logistic regression identified early endpoi
149 Multivariate logistic regression identified MRSA deconta
150 Multivariate logistic regression indicated that only dec
151 On
multivariate logistic regression,
lower baseline GDF-15
152 For this study, traditional
multivariate logistic regression (
LR) identified seven p
153 as inversely associated with recurrence in a
multivariate logistic regression model (odds ratio = 0.1
154 f schizophrenia case status (p = .0072) in a
multivariate logistic regression model correcting for to
155 A mixed-effects
multivariate logistic regression model determined odds r
156 We developed a
multivariate logistic regression model in the PlaNet-2 d
157 The
multivariate logistic regression model indicated that a
158 100% accuracy can be achieved using a
multivariate logistic regression model of MRI parameters
159 A
multivariate logistic regression model predicting referr
160 that were identified were used to generate a
multivariate logistic regression model that, following s
161 Unit for presurgical evaluation, and used a
multivariate logistic regression model to assess the pre
162 ignificant variables were then combined in a
multivariate logistic regression model to derive an sICH
163 The
multivariate logistic regression model was constructed u
164 A
multivariate logistic regression model was used to deter
165 000 census population was calculated, and a
multivariate logistic regression model with random inter
166 In a
multivariate logistic regression model, daptomycin MICs
167 In a
multivariate logistic regression model, drug resistance
168 In a
multivariate logistic regression model, shock [odds rati
169 nd thymoglobulin induction as variables in a
multivariate logistic regression model, the prediction o
170 n both variables were analyzed together in a
multivariate logistic regression model, the significant
171 (odds ratio per SD: 2.31, P = 0.01) using a
multivariate logistic regression model, which showed goo
172 maternal HBsAg levels were estimated using a
multivariate logistic regression model.
173 coefficients of significant predictors in a
multivariate logistic regression model.
174 using risk factor weighting obtained from a
multivariate logistic regression model.
175 Multivariate logistic regression modeling assessing fact
176 Multivariate logistic regression modeling revealed sever
177 We used
multivariate logistic regression modeling to assess the
178 We performed
multivariate logistic regression modeling to examine the
179 Multivariate logistic regression modeling using forward
180 Multivariate logistic regression modeling was used to ev
181 We used mixed effect,
multivariate logistic regression modeling with propensit
182 Multivariate logistic regression models adjusted for sex
183 In
multivariate logistic regression models adjusting for ag
184 iated with readmission were determined using
multivariate logistic regression models analysis.
185 outcomes were extracted and analyzed to fit
multivariate logistic regression models and build a risk
186 Bivariate and
multivariate logistic regression models and Odds ratio w
187 Multivariate logistic regression models demonstrated tha
188 with stroke (P >/= 0.37), in survey-weighted
multivariate logistic regression models that controlled
189 o assess the postoperative outcomes, we used
multivariate logistic regression models to adjust for cl
190 in 1 year of an index encounter, and we used
multivariate logistic regression models to assess demogr
191 Pooled
multivariate logistic regression models were constructed
192 Univariate and
multivariate logistic regression models were created.
193 Multivariate logistic regression models were used in the
194 Adjusted
multivariate logistic regression models were used to est
195 Multivariate logistic regression models were used to eva
196 Multivariate logistic regression models were used to exa
197 In
multivariate logistic regression models, Y1 vaccine was
198 in these cohorts via univariate analysis and
multivariate logistic regression models.
199 at the time of coronary angiography by using
multivariate logistic regression models.
200 y treatment group using chi-square tests and
multivariate logistic regression models.
201 c failure as outcome variables in 2 separate
multivariate logistic regression models.
202 and pure rPH versus pure iPH were studied in
multivariate logistic regression models.
203 ts and by baseline hypertension status using
multivariate logistic regression models.
204 OR) for each diagnosis were calculated using
multivariate logistic regression models.
205 ome of interest, assessed with bivariate and
multivariate logistic regression models.
206 th different diseases using Kaplan-Meier and
multivariate logistic regression models.
207 and was related to 20 indicators of care in
multivariate logistic regression models.
208 ariable was analyzed by using univariate and
multivariate logistic regression models.
209 In
multivariate logistic regression,
MSM were more likely t
210 Multivariate logistic regression of the retrospective co
211 g multiple diagnostic screening methods with
multivariate logistic regression offers a platform to di
212 Multivariate logistic regression on 1047 data sets revea
213 On
multivariate logistic regression,
only age younger than
214 ndent predictor of successful downstaging on
multivariate logistic regression (
P = 0.04, area under r
215 y body size and activity times (phylogenetic
multivariate logistic regressions,
P < 0.0001).
216 In a
multivariate logistic regression,
pretransplant histolog
217 Through a
multivariate logistic regression,
receipt of a NBL antib
218 To illustrate the method, we present
multivariate logistic regression results for the first 2
219 A stepwise
multivariate logistic regression revealed low platelet c
220 trolling CMV risk factor differences through
multivariate logistic regression revealed significantly
221 Multivariate logistic regression revealed that individua
222 The
multivariate logistic regression revealed that poor init
223 Multivariate logistic regression revealed that proband s
224 Multivariate logistic regression selected combined serum
225 Multivariate logistic regression showed that feeling wor
226 Multivariate logistic regression showed that iron supple
227 Multivariate logistic regression showed that old age, ab
228 A
multivariate logistic regression showed that this associ
229 Multivariate logistic regressions showed that participan
230 In
multivariate logistic regression,
the intronic rs6021191
231 According to
multivariate logistic regression,
the presence of C9ORF7
232 Using
multivariate logistic regression,
the relation between s
233 for risk adjustment, we used univariate and
multivariate logistic regression to assess the effect on
234 ed LASSO regression to select biomarkers and
multivariate logistic regression to built models, accura
235 We used
multivariate logistic regression to determine if black p
236 We used univariate and
multivariate logistic regression to determine the associ
237 We used
multivariate logistic regression to evaluate the associa
238 We performed univariate and
multivariate logistic regression to evaluate the associa
239 We used
multivariate logistic regression to evaluate the cross-s
240 We conducted
multivariate logistic regression to identify factors ass
241 We used
multivariate logistic regression to identify factors ass
242 y factors associated with mortality risk and
multivariate logistic regression to identify independent
243 riable analysis, in addition to conventional
multivariate logistic regression,
to reduce the influenc
244 d area under the curve values, and conducted
multivariate logistic regression using clinical and path
245 Multivariate logistic regression using positive viral cu
246 of achieving normal serum PTH levels, and a
multivariate logistic regression was constructed to dete
247 Multivariate logistic regression was implemented to asse
248 Multivariate logistic regression was performed and detai
249 Multivariate logistic regression was performed controlli
250 Multivariate logistic regression was performed to accoun
251 A matched
multivariate logistic regression was performed to adjust
252 Multivariate logistic regression was performed to define
253 Multivariate logistic regression was performed to determ
254 analyzed to determine prevalence of PED, and
multivariate logistic regression was performed to determ
255 Multivariate logistic regression was performed to determ
256 Univariate and
multivariate logistic regression was performed to estima
257 Multivariate logistic regression was performed to identi
258 Multivariate logistic regression was performed, and the
259 Multivariate logistic regression was used to analyze the
260 Multivariate logistic regression was used to create odds
261 Univariate and
multivariate logistic regression was used to determine i
262 Multivariate logistic regression was used to determine t
263 Multivariate logistic regression was used to estimate OR
264 Multivariate logistic regression was used to estimate th
265 Multivariate logistic regression was used to evaluate as
266 Multivariate logistic regression was used to evaluate ri
267 Univariate and
multivariate logistic regression was used to examine ass
268 A
multivariate logistic regression was used to examine the
269 Multivariate logistic regression was used to identify fa
270 Multivariate logistic regression was used to identify in
271 Multivariate logistic regression was used to identify th
272 Multivariate logistic regression was used to model the o
273 Multivariate logistic regression was used to predict the
274 Using descriptive statistics and
multivariate logistic regression,
we examined the associ
275 Using
multivariate logistic regression,
we identified patient-
276 Backward selection and
multivariate logistic regression were conducted to asses
277 Uni- and
multivariate logistic regression were performed to ident
278 pment of endogenous endophthalmitis based on
multivariate logistic regression were perinatal infectio
279 he generalized linear mixed model (GLMM) and
multivariate logistic regression were used for analyses.
280 Univariate and
multivariate logistic regression were used to characteri
281 Univariate analysis and
multivariate logistic regression were used to determine
282 Univariate and
multivariate logistic regressions were compared to deter
283 Descriptive statistics and
multivariate logistic regressions were conducted to eval
284 Multivariate logistic regressions were performed to asse
285 Univariate and
multivariate logistic regressions were performed to iden
286 Separate
multivariate logistic regressions were performed using e
287 Univariate and
multivariate logistic regressions were performed, and fa
288 Univariate and
multivariate logistic regressions were performed, and po
289 Univariate and
multivariate logistic regressions were used for statisti
290 Descriptive statistics and
multivariate logistic regressions were used to examine a
291 Bivariate and
multivariate logistic regressions were used to generate
292 Multivariate logistic regression which controlled for th
293 Predictors of IE were assessed using
multivariate logistic regression with backward eliminati
294 We used
multivariate logistic regression with backward eliminati
295 Multivariate logistic regression with generalized estima
296 We used
multivariate logistic regression with PCR-confirmed infl
297 Multivariate logistic regression with restricted cubic s
298 To assess predictive validity, we used
multivariate logistic regression with self-reported adhe
299 Factors were analyzed by univariate and
multivariate logistic regression (
with enrollment site a
300 monly associated with echo use and performed
multivariate logistic regression within each diagnosis c