1 and poor oral hygiene were determined using
multivariate logistic regression.
2 of 70-79 mumol/L were then determined using
multivariate logistic regression.
3 e (stressful) experiences were studied using
multivariate logistic regression.
4 and airway obstruction within asthmatics via
multivariate logistic regression.
5 s on treatment outcomes was assessed through
multivariate logistic regression.
6 eruginosa ventilator-associated pneumonia by
multivariate logistic regression.
7 between women with and without CHD by using
multivariate logistic regression.
8 eceiving an echinocandin were assessed using
multivariate logistic regression.
9 lasms and malignancy were evaluated by using
multivariate logistic regression.
10 ated determinants for IgG >/= 0.35 mug/mL by
multivariate logistic regression.
11 sociated with the use of low-dose aspirin by
multivariate logistic regression.
12 was adjusted for potential confounding using
multivariate logistic regression.
13 with Chagas cardiomyopathy were tested with
multivariate logistic regression.
14 on the variables being evaluated, as well as
multivariate logistic regression.
15 Predictors of cirrhosis were determined from
multivariate logistic regression.
16 f receipt of prophylaxis were examined using
multivariate logistic regression.
17 CSF discordance/escape were identified using
multivariate logistic regression.
18 ns of the rs1061170 allele were tested using
multivariate logistic regression.
19 the relative rates (RRs) were estimated with
multivariate logistic regression.
20 ustment for patient-level risk factors, with
multivariate logistic regression.
21 ST were independently associated with PNF on
multivariate logistic regression.
22 hysical health symptoms were estimated using
multivariate logistic regression.
23 environmental predictors, in a hierarchical
multivariate logistic regression.
24 mission were identified using univariate and
multivariate logistic regressions.
25 Using
multivariate logistic regression,
a full prediction mode
26 (DGF + SGF) from IGF remained significant in
multivariate logistic regression accounting for cold isc
27 Multivariate logistic regression adjusting for several p
28 posures and 2-month culture conversion using
multivariate logistic regression after adjusting for MIC
29 current pneumonia assessed using conditional
multivariate logistic regression after adjustment of dem
30 In
multivariate logistic regression analyses adjusting by a
31 Using
multivariate logistic regression analyses four SNPs were
32 Multivariate logistic regression analyses showed that th
33 In univariate and
multivariate logistic regression analyses the algorithm
34 We performed
multivariate logistic regression analyses to assess asso
35 Data were analyzed using univariate and
multivariate logistic regression analyses to determine s
36 We performed univariate and
multivariate logistic regression analyses to identify va
37 Multivariate logistic regression analyses were employed
38 Uni- and
multivariate logistic regression analyses were performed
39 Simple and
multivariate logistic regression analyses were performed
40 Univariate and
multivariate logistic regression analyses were performed
41 hemokines were compared between groups using
multivariate logistic regression analyses, adjusting for
42 In
multivariate logistic regression analyses, intraeye macu
43 After uni- and
multivariate logistic regression analyses, surgery by EL
44 he Fisher exact test, exact chi(2) test, and
multivariate logistic regression analyses.
45 cluded receiver operating characteristic and
multivariate logistic regression analyses.
46 ratio, 0.64; 95% CI, 0.22-1.67; P = .37) or
multivariate logistic regression analysis (odds ratio, 1
47 , age, obesity and etiologic risk factors in
multivariate logistic regression analysis (OR=3.2, p=0.0
48 a more benign clinical long-term outcome in
multivariate logistic regression analysis (P = 0.04; odd
49 d without advanced fibrosis, and following a
multivariate logistic regression analysis a new scoring
50 Multivariate logistic regression analysis also showed Ve
51 By using
multivariate logistic regression analysis and selected p
52 In
multivariate logistic regression analysis comparing fact
53 Multivariate logistic regression analysis confirmed that
54 Multivariate logistic regression analysis demonstrated t
55 Multivariate logistic regression analysis demonstrated t
56 Multivariate logistic regression analysis demonstrated t
57 Multivariate logistic regression analysis identified cry
58 Multivariate logistic regression analysis identified res
59 Multivariate logistic regression analysis identified RPV
60 Multivariate logistic regression analysis identified sex
61 dependent samples t test, Fisher exact test,
multivariate logistic regression analysis of baseline va
62 In a
multivariate logistic regression analysis of the clinica
63 Multivariate logistic regression analysis of the validat
64 Outcomes were categorized and
multivariate logistic regression analysis performed to i
65 Multivariate logistic regression analysis revealed a sig
66 Multivariate logistic regression analysis revealed that
67 Multivariate logistic regression analysis revealed that
68 Multivariate logistic regression analysis revealed that
69 Multivariate logistic regression analysis showed a signi
70 Multivariate logistic regression analysis showed that ci
71 Multivariate logistic regression analysis showed that hi
72 Multivariate logistic regression analysis suggested a po
73 Multivariate logistic regression analysis suggested that
74 Furthermore, the
multivariate logistic regression analysis suggests that
75 As to the second objective, we used
multivariate logistic regression analysis to identify pa
76 o compare differences between subtypes, with
multivariate logistic regression analysis used to assess
77 Multivariate logistic regression analysis was conducted
78 Multivariate logistic regression analysis was constructe
79 Multivariate logistic regression analysis was performed
80 Multivariate logistic regression analysis was performed
81 A
multivariate logistic regression analysis was performed
82 Multivariate logistic regression analysis was performed
83 A
multivariate logistic regression analysis was performed
84 Multivariate logistic regression analysis was performed
85 Multivariate logistic regression analysis was performed
86 t categories 1-5 between the two groups, and
multivariate logistic regression analysis was performed
87 two-level decision tree was designed, and a
multivariate logistic regression analysis was used at ea
88 Multivariate logistic regression analysis was used to an
89 Multivariate logistic regression analysis was used to as
90 Multivariate logistic regression analysis was used to ca
91 Multivariate logistic regression analysis was used to co
92 Multivariate logistic regression analysis was used to de
93 Multivariate logistic regression analysis was used to es
94 Multivariate logistic regression analysis was used to es
95 Multivariate logistic regression analysis was used to id
96 Factors that predicted poor VA in
multivariate logistic regression analysis were nystagmus
97 A chi test and a
multivariate logistic regression analysis with study cha
98 In
multivariate logistic regression analysis, African-Ameri
99 By
multivariate logistic regression analysis, factors assoc
100 In
multivariate logistic regression analysis, factors indep
101 In the
multivariate logistic regression analysis, increased tim
102 In the
multivariate logistic regression analysis, increased tim
103 On
multivariate logistic regression analysis, independent r
104 In a
multivariate logistic regression analysis, independent r
105 On
multivariate logistic regression analysis, LPF-VT was mo
106 In
multivariate logistic regression analysis, neither LPI l
107 In
multivariate logistic regression analysis, older age (od
108 In
multivariate logistic regression analysis, PHH after RYG
109 In a
multivariate logistic regression analysis, physical inac
110 On
multivariate logistic regression analysis, PSMA and seru
111 indicators were included in a univariate and
multivariate logistic regression analysis, subsequently
112 At
multivariate logistic regression analysis, the E167K var
113 On
multivariate logistic regression analysis, the factors p
114 In a
multivariate logistic regression analysis, the month, te
115 On
multivariate logistic regression analysis, the most sign
116 However, in
multivariate logistic regression analysis, uNGAL is not
117 Using
multivariate logistic regression analysis, white recipie
118 h those of patients without leakage by using
multivariate logistic regression analysis.
119 Final risk factors were identified using
multivariate logistic regression analysis.
120 each significant parameter was entered in a
multivariate logistic regression analysis.
121 Data were analyzed using univariate and
multivariate logistic regression analysis.
122 liver failure was tested with univariate and
multivariate logistic regression analysis.
123 nostic factors for 90-day mortality by using
multivariate logistic regression analysis.
124 predicting ICU survival were analyzed using
multivariate logistic regression analysis.
125 ach significant parameter was entered into a
multivariate logistic regression analysis.
126 Multivariate logistic-regression analysis showed a signi
127 Multivariate logistic regression and Cox regression anal
128 lism and major bleeding using univariate and
multivariate logistic regression and Cox regression mode
129 Predictive models were built with
multivariate logistic regression and Gaussian processes,
130 Multivariate logistic regression and neural network anal
131 Multivariate logistic regression and survival analysis w
132 Multivariate logistic regression and the assumption-free
133 Multivariate logistic regressions and propensity scores
134 Multivariate logistic regressions and propensity scores
135 Meier analysis, multivariate cox regression,
multivariate logistic regression,
and generalized estima
136 We performed descriptive statistics,
multivariate logistic regression,
and Kaplan-Meier survi
137 We performed univariate,
multivariate logistic regression,
and propensity analyse
138 Multivariate logistic regression assessed factors affect
139 Multivariate logistic regression assessed sociodemograph
140 On
multivariate logistic regression,
baseline BE length (od
141 In
multivariate logistic regression,
cerebral abscess was a
142 te, beta-blocker use, and statin medication (
multivariate logistic regression coefficient per unit =
143 Multivariate logistic regression confirmed that AA calci
144 Multivariate logistic regression demonstrated that male
145 On
multivariate logistic regression,
DPDS [odds ratio (OR)
146 Multivariate logistic regression evaluated potential dem
147 We performed descriptive analysis and
multivariate logistic regressions examining characterist
148 Using
multivariate logistic regression,
factors independently
149 ation of 5 miRNAs, identified by an unbiased
multivariate logistic regression followed by cross-valid
150 ch we used as the outcome for univariate and
multivariate logistic regression for each ethnic group a
151 Multivariate logistic regression found that a diagnosis
152 Multivariate logistic regression identified 87 metabolit
153 Multivariate logistic regression identified MRSA deconta
154 sted odds ratios (ORs) of tattoo exposure by
multivariate logistic regression in HCV-infected versus
155 Multivariate logistic regression indicated that only dec
156 In
multivariate logistic regression,
influenza-positive SAR
157 On
multivariate logistic regression,
lower baseline GDF-15
158 f schizophrenia case status (p = .0072) in a
multivariate logistic regression model correcting for to
159 A
multivariate logistic regression model measuring age, BM
160 A
multivariate logistic regression model predicting referr
161 Unit for presurgical evaluation, and used a
multivariate logistic regression model to assess the pre
162 We constructed a forward stepwise
multivariate logistic regression model to determine pred
163 and other pathologies were used to develop a
multivariate logistic regression model to determine the
164 The
multivariate logistic regression model was constructed u
165 A
multivariate logistic regression model was used to deter
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, nadir lymphocyte
169 In a
multivariate logistic regression model, shock [odds rati
170 nd thymoglobulin induction as variables in a
multivariate logistic regression model, the prediction o
171 using risk factor weighting obtained from a
multivariate logistic regression model.
172 the univariate analysis were entered into a
multivariate logistic regression model.
173 5% CI: 0.93, 0.99; P = .035) phases with the
multivariate logistic regression model.
174 maternal HBsAg levels were estimated using a
multivariate logistic regression model.
175 coefficients of significant predictors in a
multivariate logistic regression model.
176 Multivariate logistic regression modeling adjusting for
177 Multivariate logistic regression modeling assessing fact
178 Furthermore,
multivariate logistic regression modeling demonstrated t
179 Multivariate logistic regression modeling revealed sever
180 We used
multivariate logistic regression modeling to assess the
181 We performed
multivariate logistic regression modeling to examine the
182 Multivariate logistic regression modeling using forward
183 We used mixed effect,
multivariate logistic regression modeling with propensit
184 Multivariate logistic regression models adjusted for sex
185 In
multivariate logistic regression models adjusting for ag
186 iated with readmission were determined using
multivariate logistic regression models analysis.
187 outcomes were extracted and analyzed to fit
multivariate logistic regression models and build a risk
188 Bivariate and
multivariate logistic regression models and Odds ratio w
189 independent variables were determined using
multivariate logistic regression models and reported as
190 Multivariate logistic regression models demonstrated tha
191 with stroke (P >/= 0.37), in survey-weighted
multivariate logistic regression models that controlled
192 n Drug Users (NHBS-IDU2, 2009), we developed
multivariate logistic regression models to examine the e
193 Multivariate logistic regression models were constructed
194 Pooled
multivariate logistic regression models were constructed
195 Multivariate logistic regression models were used in the
196 Adjusted
multivariate logistic regression models were used to est
197 Multivariate logistic regression models were used to eva
198 Multivariate logistic regression models were used to exa
199 Multivariate logistic regression models were used to inv
200 Multivariate logistic regression models were used to stu
201 Multivariate logistic regression models were used.
202 0-day rehospitalization were evaluated using
multivariate logistic regression models, controlling for
203 Multivariate logistic regression models, including age,
204 In
multivariate logistic regression models, Y1 vaccine was
205 in these cohorts via univariate analysis 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 to 1 year after diagnosis were identified in
multivariate logistic regression models.
210 at the time of coronary angiography by using
multivariate logistic regression models.
211 y treatment group using chi-square tests and
multivariate logistic regression models.
212 c failure as outcome variables in 2 separate
multivariate logistic regression models.
213 and pure rPH versus pure iPH were studied in
multivariate logistic regression models.
214 ts and by baseline hypertension status using
multivariate logistic regression models.
215 ome of interest, assessed with bivariate and
multivariate logistic regression models.
216 Multivariate logistic regression of outcomes adjusted fo
217 g multiple diagnostic screening methods with
multivariate logistic regression offers a platform to di
218 Multivariate logistic regression on 1047 data sets revea
219 In the
multivariate logistic regressions on liver and bone meta
220 On
multivariate logistic regression,
only age younger than
221 ndent predictor of successful downstaging on
multivariate logistic regression (
P = 0.04, area under r
222 y body size and activity times (phylogenetic
multivariate logistic regressions,
P < 0.0001).
223 After
multivariate logistic regression,
post-infectious IBS wa
224 In a
multivariate logistic regression,
pretransplant histolog
225 To illustrate the method, we present
multivariate logistic regression results for the first 2
226 trolling CMV risk factor differences through
multivariate logistic regression revealed significantly
227 Multivariate logistic regression revealed that proband s
228 Multivariate logistic regression showed that iron supple
229 A
multivariate logistic regression showed that this associ
230 Multivariate logistic regressions showed that participan
231 Univariate and
multivariate logistic regression tested the association
232 In
multivariate logistic regression,
the intronic rs6021191
233 According to
multivariate logistic regression,
the presence of C9ORF7
234 We did
multivariate logistic regression to assess associations
235 We used
multivariate logistic regression to assess the adjusted
236 for risk adjustment, we used univariate and
multivariate logistic regression to assess the effect on
237 ed LASSO regression to select biomarkers and
multivariate logistic regression to built models, accura
238 We used
multivariate logistic regression to determine if black p
239 We used
multivariate logistic regression to determine if multipl
240 We used univariate and
multivariate logistic regression to determine the associ
241 We used
multivariate logistic regression to evaluate the associa
242 We conducted
multivariate logistic regression to identify factors ass
243 y factors associated with mortality risk and
multivariate logistic regression to identify independent
244 2-sided, design-based, .05-level t tests and
multivariate logistic regression to identify predictors
245 riable analysis, in addition to conventional
multivariate logistic regression,
to reduce the influenc
246 Multivariate logistic regression was carried out adjusti
247 Multivariate logistic regression was conducted to examin
248 of achieving normal serum PTH levels, and a
multivariate logistic regression was constructed to dete
249 Multivariate logistic regression was implemented to asse
250 Multivariate logistic regression was performed and detai
251 A
multivariate logistic regression was performed in order
252 A matched
multivariate logistic regression was performed to adjust
253 Multivariate logistic regression was performed to assess
254 Multivariate logistic regression was performed to determ
255 Multivariate logistic regression was performed to identi
256 Multivariate logistic regression was performed to identi
257 Multivariate logistic regression was performed, and the
258 Multivariate logistic regression was used to analyze the
259 Multivariate logistic regression was used to assess the
260 Multivariate logistic regression was used to assess the
261 Multivariate logistic regression was used to classify tu
262 A
multivariate logistic regression was used to compare in-
263 Multivariate logistic regression was used to control for
264 These findings persisted when
multivariate logistic regression was used to control for
265 Multivariate logistic regression was used to determine t
266 Multivariate logistic regression was used to estimate od
267 Multivariate logistic regression was used to estimate OR
268 Multivariate logistic regression was used to evaluate as
269 Multivariate logistic regression was used to evaluate ri
270 Univariate and
multivariate logistic regression was used to examine ass
271 A
multivariate logistic regression was used to examine the
272 Multivariate logistic regression was used to identify in
273 Multivariate logistic regression was used to model the o
274 Multivariate logistic regression was used to predict car
275 Multivariate logistic regression was used to predict the
276 Multivariate logistic regression was utilized to adjust
277 Using
multivariate logistic regression,
we estimated the relat
278 Using
multivariate logistic regression,
we found that HCQ-indu
279 Using
multivariate logistic regression,
we identified patient-
280 Uni- and
multivariate logistic regression were performed to ident
281 e Student t test, the Fisher exact test, and
multivariate logistic regression were used for compariso
282 Univariate and
multivariate logistic regression were used to assess for
283 Chi-square tests, Fisher exact tests, and
multivariate logistic regression were used to assess the
284 d for group comparisons; both univariate and
multivariate logistic regression were used to determine
285 Generalized estimating equations and
multivariate logistic regression were used to examine as
286 Univariate and
multivariate logistic regressions were compared to deter
287 Descriptive statistics and
multivariate logistic regressions were conducted to eval
288 Multivariate logistic regressions were performed to asse
289 Univariate and
multivariate logistic regressions were performed to iden
290 Separate
multivariate logistic regressions were performed using e
291 Bivariate and
multivariate logistic regressions were used to generate
292 ically estimate the adjusted odds ratio in a
multivariate logistic regression which conditions on a l
293 Multivariate logistic regression which controlled for th
294 We used
multivariate logistic regression with backward eliminati
295 We used
multivariate logistic regression with PCR-confirmed infl
296 Multivariate logistic regression with restricted cubic s
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