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コーパス検索結果 (1語後でソート)

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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

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