1 dients and would also advance the science of
decision analysis.
2 arify the tradeoffs involved, we performed a
decision analysis.
3 onsistent with that required for traditional
decision analysis.
4 gy were calculated using formalized tools of
decision analysis.
5 rming ultrasound-guided liver biopsies using
decision analysis.
6 atershed scale using GIS-based multicriteria
decision analysis.
7 laring, leading to a complicated and erratic
decision analysis.
8 abilistic risk assessment, and multicriteria
decision analysis.
9 therapy were evaluated using computer-based
decision analysis.
10 statement was developed using multicriteria
decision analysis,
a group consensus method.
11 We discuss the potential application of
decision analysis-
a specific technology that has been in
12 Decision analysis-
a systematic approach to solving compl
13 equipped with fuzzy logic and multi-criteria
decision analysis,
algebraic graph-theoretical accessibi
14 Here, we combine
decision analysis and a global integrated assessment mod
15 we present a model (based on multi-criteria
decision analysis and a value of information approach) f
16 Two readers with formal training in
decision analysis and CEA used a seven-point (1, low; 7,
17 These assessments include, for example,
decision analysis and cost utility or cost effectiveness
18 t of that improvement?" Second, it describes
decision analysis and cost-effectiveness analysis, which
19 These findings have implications for
decision analysis and cost-effectiveness analysis.
20 Decision analysis and cost-effectiveness models were con
21 agent-based model, informed by multicriteria
decision analysis and coupled with hydrological, urbaniz
22 Decision analysis and decision modeling in surgical rese
23 story models of cervical cancer intended for
decision analysis and economic evaluation at a time when
24 m such reports.First, a brief explanation of
decision analysis and Markov models is presented in simp
25 This study addresses the use of
decision analysis and Markov models to make contemplated
26 AND PARTICIPANTS: A model with components of
decision analysis and Markov simulation was developed to
27 terature was reviewed to obtain data for the
decision analysis and the average rates used in the base
28 d cost-effectiveness assessment derived from
decision analysis and the economic perspective of the pa
29 techno-economic constraint and multicriteria
decision analysis,
and we found that utilizing reclaimed
30 The consensus-based,
decision analysis approach used in Phase 2 complemented
31 A consensus-based
decision analysis approach was used to identify factors
32 e of limited available data, a multicriteria
decision analysis approach would be a useful way to unde
33 This work provides a hybrid
decision analysis approach, which marks a significant im
34 xtrapolated over a 1-year time horizon using
decision analysis,
assuming ongoing rt-PA effectiveness,
35 A
decision analysis based on allograft survival data from
36 To apply Bayesian
decision analysis (
BDA) to cancer therapeutics to choose
37 imperfect test is necessary for an accurate
decision analysis,
because it can affect the optimal dia
38 In the absence of controlled trials,
decision analysis can be used to help explicate the trad
39 Decision analysis can guide treatment strategies when co
40 We performed Markov
decision analysis comparing long-term, quality-adjusted
41 Decision analysis comparing these strategies was done fr
42 characterization, life-cycle assessment, and
decision-analysis components.
43 A
decision-analysis curve was constructed assessing impact
44 Decision analysis curves were used to evaluate the clini
45 The simulation study of
decision analysis demonstrated the application of decisi
46 We performed a
decision analysis evaluating AV fistula, AV graft, and c
47 An independent
decision analysis evaluating the benefits of screening r
48 In this
decision analysis examining treatment strategies for rec
49 taging, Tumor Response, Comparative Studies,
Decision Analysis,
Experimental Investigations, Observer
50 different localities using a multi-criteria
decision analysis framework.
51 We used
decision analysis from the hospital perspective to compa
52 Decision analysis from the patient's perspective was use
53 graphic information system and multicriteria
decision analysis (
GIS-MCDA) to prioritize the potential
54 , address the role of cost-effectiveness and
decision analysis in health technology assessment, and d
55 Recent applications of
decision analysis in the pediatric literature are also u
56 Decision analysis in which the health outcomes, costs, a
57 For BRCA1 or BRCA2 mutation carriers,
decision analysis indicates that prophylactic surgery or
58 Decision analysis indicates that screening such women is
59 g case studies to advance the integration of
decision analysis into alternatives analysis; c) support
60 The
decision analysis involved a systematic literature revie
61 Decision analysis is a method to account for the importa
62 Decision analysis is a modeling technique used to compar
63 Bayesian
decision analysis is a systematic, objective, transparen
64 Decision analysis is a tool to aid decision-making in th
65 Decision analysis is applied here to a common problem in
66 Decision analysis is useful in the incorporation of comp
67 ing study used a mixed-methods multicriteria
decision analysis (
MCDA) and had 2 phases.
68 emonstrates the integration of multicriteria
decision analysis (
MCDA) and life cycle assessment (LCA)
69 Multi-criteria
decision analysis (
MCDA) can support early decisions for
70 The use of multi-criteria
decision analysis (
MCDA) involves the utilization of the
71 Furthermore, Multi-Criteria
Decision Analysis (
MCDA) is used to evaluate overall per
72 This paper presents a multiple-criteria
decision analysis (
MCDA) method for the ACA that takes t
73 nt based on in silico data and multicriteria
decision analysis (
MCDA) methods was further developed t
74 ed based on in silico data and multicriteria
decision analysis (
MCDA) methods.
75 We aimed to apply multicriteria
decision analysis (
MCDA) modelling to a range of drug ha
76 ecision-analytic tools such as multicriteria
decision analysis (
MCDA) move beyond ad hoc decision sup
77 A), life cycle analysis (LCA), multicriteria
decision analysis (
MCDA), and economic valuation methods
78 ing via Stochastic Forest for Multi-Criteria
Decision Analysis (
MCDA), and multi-objective optimizati
79 nScreen, Cradle to Cradle, multiple-criteria
decision analysis (
MCDA), the Pollution Prevention Optio
80 We used a multicriteria
decision analysis method to prioritise antibiotic-resist
81 we apply value of information and portfolio
decision analysis-
methods commonly applied in financial
82 The results showed that the
decision analysis model can provide the promising and mo
83 A
decision analysis model compared sestamibi breast imagin
84 Cost-effectiveness was determined via a
decision analysis model employing Markov simulation.
85 Purpose To construct a clinical
decision analysis model for assessing intraoperative MRI
86 ion analysis demonstrated the application of
decision analysis model for KEGG pathway analysis.
87 Therefore, the
decision analysis model is an initial attempt of optimiz
88 A
decision analysis model is developed in this article tha
89 A
decision analysis model of cost-utility.
90 A
decision analysis model of the choice between primary re
91 The
decision analysis model suggests that on average anterio
92 Our
decision analysis model suggests that ultrasound-guided
93 We constructed a
decision analysis model to compare pneumococcal vaccinat
94 These data were used to construct a
decision analysis model to compare the cost of standard
95 rriers undergoing chemotherapy, we pursued a
decision analysis model to compare the costs and clinica
96 red DAA treatment using a cost-effectiveness
decision analysis model to estimate incremental cost-eff
97 A
decision analysis model was constructed based on results
98 A
decision analysis model was constructed employing diagno
99 A
decision analysis model was constructed to compare 5-yea
100 A
decision analysis model was constructed to compare the i
101 A
decision analysis model was created to examine a populat
102 A
decision analysis model was created to identify the cost
103 A Markov
decision analysis model was developed to compare differe
104 A
decision analysis model was developed to evaluate the ad
105 A
decision analysis model was used to evaluate the number
106 We utilized a
decision analysis model with Markov states and a 6-month
107 We constructed a
decision-analysis model by using a hypothetical cohort o
108 apy (RE-LY) and other trials, we developed a
decision-analysis model to compare the cost and quality-
109 We constructed a Markov
decision-analysis model to evaluate the clinical effecti
110 A
decision-analysis model was constructed to represent 3 m
111 Materials and Methods A
decision-analysis model was created for biopsy-naive men
112 y angiography that could be simulated in the
decision-analysis model, the median (interquartile range
113 pared with the standard biopsy strategy in a
decision-analysis model.
114 Decision-analysis modeling indicates the potential cost-
115 Using
decision analysis models and sensitivity analyses to var
116 Decision analysis models have also been used to estimate
117 We have used
decision-analysis models to assess the cost-effectivenes
118 ts with ground-glass nodules (GGNs) by using
decision-analysis models.
119 erapy/Oncology, Neoplasms-Primary, Oncology,
Decision Analysis,
Observer Performance Supplemental mat
120 A
decision analysis of a disease simulation model was used
121 n binding analysis on the membranes or state
decision analysis of domain phase separation.
122 Modeling
decision analysis on IPSS-M versus conventional Revised
123 which an algorithm was applied, followed by
decision analysis regarding thrombolysis made with or wi
124 Based on a
decision analysis,
screening for noncardia gastric adeno
125 According to
decision analysis,
screening would help detect an estima
126 Decision analysis seeks to optimize the expected outcome
127 The
decision analysis showed that among 1000 patients with L
128 Decision analysis shows that a clinician's objective, kn
129 A
decision analysis simulation can aid in designing clinic
130 Decision analysis software was used to construct a risk-
131 dence interval, 2.6-9.3); (2) the study used
decision-analysis software package (odds ratio, 2.4; 95%
132 Our overall multicriteria
decision analysis suggested the following priority order
133 rent evidence with fundamental concepts from
decision analysis suggests that management of patients w
134 A
decision analysis that compared the costs of 3 onychomyc
135 In a
decision analysis,
the six-gene signature yielded the hi
136 We conducted a
decision analysis to assess and compare four algorithms
137 We used
decision analysis to assess the cost effectiveness of ro
138 This study utilizes Markov
decision analysis to assess the relative benefits of pro
139 Both examples use
decision analysis to bridge science and decisions.
140 We used
decision analysis to calculate the cost-effectiveness of
141 were then combined with the outcomes of the
decision analysis to determine an individual's preferred
142 We used
decision analysis to estimate costs and outcomes associa
143 We conducted a
decision analysis to explore the potential costs and con
144 c evidence review, the USPSTF commissioned a
decision analysis to help clarify the age at which to be
145 . Preventive Services Task Force requested a
decision analysis to inform their update of recommendati
146 We did a Markov
decision analysis to model decision-making with regard t
147 We used
decision analysis to simulate risk-reducing strategies i
148 Using the tools of
decision analysis,
to determine the best management appr
149 DESIGN, SETTING, AND PARTICIPANTS: This
decision analysis used models to simulate the following
150 A
decision analysis using a Markov model depicting the nat
151 A
decision analysis using a Markov model was developed wit
152 A
decision analysis using a Markov model was implemented t
153 Decision analysis using a simulation model was performed
154 Decision analysis using a state-transition microsimulati
155 lysis and on methods for performing a formal
decision analysis using decision trees.
156 Markov-based
decision analysis using literature-based assumptions reg
157 We constructed a
decision analysis using the Markov process to model expe
158 A
decision analysis was conducted to evaluate the cost-eff
159 Materials and Methods: A
decision analysis was performed in which the following w
160 Decision analysis was performed that used information ab
161 A
decision analysis was performed to examine two strategie
162 A
decision analysis was performed using a hypothetical coh
163 METHODS
Decision analysis was performed using a Markov model tha
164 Decision analysis was performed using the Markov model o
165 Decision analysis was used to compare per-person costs w
166 Decision analysis was used to compare the direct medical
167 Decision analysis was used to compare the number of qual
168 Decision analysis was used to compare three alternative
169 Decision analysis was used to determine mean relative co
170 Decision analysis was used to estimate expected resource
171 A markov model
decision analysis was used to evaluate the benefits and
172 Multicriteria
decision analysis was used with five preference scenario
173 In a
decision analysis,
we compared prophylactic mastectomy a
174 Using
decision analysis,
we compared the outcomes and cost of
175 On the basis of the results of this
decision analysis,
we recommend that women with BRCA1/2
176 DESIGN, SETTING, AND PARTICIPANTS:
Decision analysis with 1-year time horizon including mel
177 We used
decision analysis with Markov modeling to compare compet
178 Decision analysis with Markov modeling was used to calcu