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 laring, leading to a complicated and erratic
decision analysis.
7 abilistic risk assessment, and multicriteria
decision analysis.
8 therapy were evaluated using computer-based
decision analysis.
9 We discuss the potential application of
decision analysis-
a specific technology that has been in
10 Decision analysis-
a systematic approach to solving compl
11 we present a model (based on multi-criteria
decision analysis and a value of information approach) f
12 Two readers with formal training in
decision analysis and CEA used a seven-point (1, low; 7,
13 t of that improvement?" Second, it describes
decision analysis and cost-effectiveness analysis, which
14 These findings have implications for
decision analysis and cost-effectiveness analysis.
15 Decision analysis and cost-effectiveness models were con
16 Decision analysis and decision modeling in surgical rese
17 story models of cervical cancer intended for
decision analysis and economic evaluation at a time when
18 m such reports.First, a brief explanation of
decision analysis and Markov models is presented in simp
19 This study addresses the use of
decision analysis and Markov models to make contemplated
20 terature was reviewed to obtain data for the
decision analysis and the average rates used in the base
21 d cost-effectiveness assessment derived from
decision analysis and the economic perspective of the pa
22 The consensus-based,
decision analysis approach used in Phase 2 complemented
23 A consensus-based
decision analysis approach was used to identify factors
24 e of limited available data, a multicriteria
decision analysis approach would be a useful way to unde
25 xtrapolated over a 1-year time horizon using
decision analysis,
assuming ongoing rt-PA effectiveness,
26 A
decision analysis based on allograft survival data from
27 To apply Bayesian
decision analysis (
BDA) to cancer therapeutics to choose
28 imperfect test is necessary for an accurate
decision analysis,
because it can affect the optimal dia
29 In the absence of controlled trials,
decision analysis can be used to help explicate the trad
30 Decision analysis can guide treatment strategies when co
31 We performed Markov
decision analysis comparing long-term, quality-adjusted
32 Decision analysis comparing these strategies was done fr
33 characterization, life-cycle assessment, and
decision-analysis components.
34 The simulation study of
decision analysis demonstrated the application of decisi
35 We performed a
decision analysis evaluating AV fistula, AV graft, and c
36 An independent
decision analysis evaluating the benefits of screening r
37 In this
decision analysis examining treatment strategies for rec
38 We used
decision analysis from the hospital perspective to compa
39 Decision analysis from the patient's perspective was use
40 , address the role of cost-effectiveness and
decision analysis in health technology assessment, and d
41 Recent applications of
decision analysis in the pediatric literature are also u
42 Decision analysis in which the health outcomes, costs, a
43 For BRCA1 or BRCA2 mutation carriers,
decision analysis indicates that prophylactic surgery or
44 Decision analysis indicates that screening such women is
45 g case studies to advance the integration of
decision analysis into alternatives analysis; c) support
46 The
decision analysis involved a systematic literature revie
47 Decision analysis is a method to account for the importa
48 Decision analysis is a modeling technique used to compar
49 Bayesian
decision analysis is a systematic, objective, transparen
50 Decision analysis is a tool to aid decision-making in th
51 Decision analysis is applied here to a common problem in
52 Decision analysis is useful in the incorporation of comp
53 emonstrates the integration of multicriteria
decision analysis (
MCDA) and life cycle assessment (LCA)
54 Multi-criteria
decision analysis (
MCDA) can support early decisions for
55 We aimed to apply multicriteria
decision analysis (
MCDA) modelling to a range of drug ha
56 ecision-analytic tools such as multicriteria
decision analysis (
MCDA) move beyond ad hoc decision sup
57 A), life cycle analysis (LCA), multicriteria
decision analysis (
MCDA), and economic valuation methods
58 We used a multicriteria
decision analysis method to prioritise antibiotic-resist
59 we apply value of information and portfolio
decision analysis-
methods commonly applied in financial
60 The results showed that the
decision analysis model can provide the promising and mo
61 A
decision analysis model compared sestamibi breast imagin
62 Cost-effectiveness was determined via a
decision analysis model employing Markov simulation.
63 ion analysis demonstrated the application of
decision analysis model for KEGG pathway analysis.
64 Therefore, the
decision analysis model is an initial attempt of optimiz
65 A
decision analysis model is developed in this article tha
66 A
decision analysis model of cost-utility.
67 A
decision analysis model of the choice between primary re
68 The
decision analysis model suggests that on average anterio
69 Our
decision analysis model suggests that ultrasound-guided
70 We constructed a
decision analysis model to compare pneumococcal vaccinat
71 These data were used to construct a
decision analysis model to compare the cost of standard
72 rriers undergoing chemotherapy, we pursued a
decision analysis model to compare the costs and clinica
73 red DAA treatment using a cost-effectiveness
decision analysis model to estimate incremental cost-eff
74 A
decision analysis model was constructed employing diagno
75 A
decision analysis model was constructed to compare 5-yea
76 A
decision analysis model was constructed to compare the i
77 A
decision analysis model was created to examine a populat
78 A Markov
decision analysis model was developed to compare differe
79 A
decision analysis model was developed to evaluate the ad
80 A
decision analysis model was used to evaluate the number
81 We utilized a
decision analysis model with Markov states and a 6-month
82 We constructed a
decision-analysis model by using a hypothetical cohort o
83 apy (RE-LY) and other trials, we developed a
decision-analysis model to compare the cost and quality-
84 We constructed a Markov
decision-analysis model to evaluate the clinical effecti
85 A
decision-analysis model was constructed to represent 3 m
86 Materials and Methods A
decision-analysis model was created for biopsy-naive men
87 y angiography that could be simulated in the
decision-analysis model, the median (interquartile range
88 pared with the standard biopsy strategy in a
decision-analysis model.
89 Decision-analysis modeling indicates the potential cost-
90 Using
decision analysis models and sensitivity analyses to var
91 Decision analysis models have also been used to estimate
92 We have used
decision-analysis models to assess the cost-effectivenes
93 which an algorithm was applied, followed by
decision analysis regarding thrombolysis made with or wi
94 According to
decision analysis,
screening would help detect an estima
95 Decision analysis seeks to optimize the expected outcome
96 The
decision analysis showed that among 1000 patients with L
97 Decision analysis shows that a clinician's objective, kn
98 A
decision analysis simulation can aid in designing clinic
99 Decision analysis software was used to construct a risk-
100 dence interval, 2.6-9.3); (2) the study used
decision-analysis software package (odds ratio, 2.4; 95%
101 rent evidence with fundamental concepts from
decision analysis suggests that management of patients w
102 A
decision analysis that compared the costs of 3 onychomyc
103 In a
decision analysis,
the six-gene signature yielded the hi
104 We conducted a
decision analysis to assess and compare four algorithms
105 We used
decision analysis to assess the cost effectiveness of ro
106 This study utilizes Markov
decision analysis to assess the relative benefits of pro
107 Both examples use
decision analysis to bridge science and decisions.
108 We used
decision analysis to calculate the cost-effectiveness of
109 were then combined with the outcomes of the
decision analysis to determine an individual's preferred
110 We used
decision analysis to estimate costs and outcomes associa
111 We conducted a
decision analysis to explore the potential costs and con
112 c evidence review, the USPSTF commissioned a
decision analysis to help clarify the age at which to be
113 . Preventive Services Task Force requested a
decision analysis to inform their update of recommendati
114 We did a Markov
decision analysis to model decision-making with regard t
115 We used
decision analysis to simulate risk-reducing strategies i
116 Using the tools of
decision analysis,
to determine the best management appr
117 A
decision analysis using a Markov model depicting the nat
118 A
decision analysis using a Markov model was developed wit
119 A
decision analysis using a Markov model was implemented t
120 Decision analysis using a simulation model was performed
121 Decision analysis using a state-transition microsimulati
122 lysis and on methods for performing a formal
decision analysis using decision trees.
123 Markov-based
decision analysis using literature-based assumptions reg
124 We constructed a
decision analysis using the Markov process to model expe
125 A
decision analysis was conducted to evaluate the cost-eff
126 Materials and Methods: A
decision analysis was performed in which the following w
127 Decision analysis was performed that used information ab
128 A
decision analysis was performed to examine two strategie
129 A
decision analysis was performed using a hypothetical coh
130 METHODS
Decision analysis was performed using a Markov model tha
131 Decision analysis was performed using the Markov model o
132 Decision analysis was used to compare per-person costs w
133 Decision analysis was used to compare the direct medical
134 Decision analysis was used to compare the number of qual
135 Decision analysis was used to compare three alternative
136 Decision analysis was used to determine mean relative co
137 Decision analysis was used to estimate expected resource
138 A markov model
decision analysis was used to evaluate the benefits and
139 Multicriteria
decision analysis was used with five preference scenario
140 In a
decision analysis,
we compared prophylactic mastectomy a
141 Using
decision analysis,
we compared the outcomes and cost of
142 On the basis of the results of this
decision analysis,
we recommend that women with BRCA1/2
143 We used
decision analysis with Markov modeling to compare compet
144 Decision analysis with Markov modeling was used to calcu