Science topic

Cost-Benefit Analysis - Science topic

A method of comparing the cost of a program with its expected benefits in dollars (or other currency). The benefit-to-cost ratio is a measure of total return expected per unit of money spent. This analysis generally excludes consideration of factors that are not measured ultimately in economic terms. Cost effectiveness compares alternative ways to achieve a specific set of results.
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I want to calculate the sample size for a research project designed to evaluate the cost-effectiveness of new public health interventions compared to routine healthcare. However, I faced difficulties in obtaining relevant parameters required for sample size calculations, like mean cost and effect difference, standard deviations in cost and effect, etc. (due to a lack of prior research in the area).
Is there an alternative approach to calculating sample size for trial-based cost-effectiveness analysis when pertinent data from previous studies are unavailable? Although a pilot study is a practical option, I'm interested in exploring other recommendations, possibly rules of thumb, to guide initial sample size estimation for trial-based CEA (N.B: outcome/effect will not be measured in QUALY but in natural units; like body weight reduced, etc.).
kindest regards
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Abdene Weya Kaso Thank you very much for your guiding recommendation. Even if mine is somewhat different, let me go back to searching for pieces of literature related to my topic of interest. thank you again.
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I'm from Mexico and I would like some recommendations on brands of ELISA kits that measure cytokine/chemokine in plasma. As my question states, I am particularly interested in SDF-1/CXCL12 but I would appreciate feedback of your experience with ELISA kits of Latin American circulating brands even if for other proteins (reliability, cost/benefit, precoated vs DIY kits, etc.).
Thank you in advance
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If you have a cytometry or Luminex system you may look up for bead based assays which will provide you better sensitivity and accuracy.
Best wishes,
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Dear friends,
I have an experience of conducting feasibility (cost-benefit) study of different crop production practices using plot level treatments. In this case, the methodology is simply recording the costs and returns of each treatment (plot) and compare their profitability. However, now I planned to undertake a feasibility study on different crop production practices (technologies) using face to face interview with producer farmers. But, I fear that the data will face some realiablity issue due to farmers' recalling problem.
So that, in order to releave such problem and to increase the scientific acceptability of the study, 1. What type of methodologies should I follow?!
2. Again, can you please share or recommend me some documents like questionnaires, methods and studies used some where else?!
Thank you in advance!!
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I don't know how you help someone improve their recall, but if you have them recall Information you already acquired in your previously collected data, you might obtain an idea as to whether some numbers are biased high or low.
If you are concerned that they may not want to answer yes/no questions honestly, you could look into the literature on "randomized response."
If you think larger farms may have different responses than smaller ones, you could do a simple random sample in each of two or more subpopulations based on farm size. I would not call that stratified random sampling because that would not indicate you want answers by group/category/subpopulation, and you probably would want that. In stratified random sampling, you want to reduce the sample size needed to obtain overall results, but you may have inadequate sampling in any given stratum to report for that stratum reliably, for itself.
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For the future, after determining best practices, if you instead just want to monitor total production from some point forward, you could consider a stratified random sample, by size. It may be best to make the stratum for the largest farms a certainty stratum (i.e., census the largest stratum) to more efficiently obtain estimated totals with good accuracy.
Better, for production totals, if an occasional census of the population is feasible, one might use a form of 'cutoff' sampling with a ratio model to infer to the entire population for intervening periods. Then you could consider the following notes I've made.
Subject: 
'Cutoff' sampling in Official Statistics
The following paper is with regard to the accurate use of 'cutoff' sampling for Official Statistics from establishment surveys.  It has been proven highly effective at the US Energy Information Administration (EIA), using ratio modeling.  (For example: retail electric sales volume by economic end-use sector.) 
Also, especially for repeated establishment surveys, consider: 
"Application of Efficient Sampling with Prediction for Skewed Data," JSM 2022: 
which includes comments on
Guadarrama, Molina, and Tillé(2020), Survey Methodology, which found that regression modeling appeared to perform better than calibration in small domains, for cutoff sampling, in their excellent article found at https://www.researchgate.net/publication/342657185_Small_area_estimation_methods_under_cut-off_sampling
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Static noise margin analysis using butterfly curves has traditionally played a leading role in the sizing and optimization of SRAM cell structures.
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To plot Butterfly curves for Noise Margin Analysis in CNTFET based Quaternary Logic Circuits using Synopsis Hspice, you can follow these general steps:
  1. Create a netlist file for the circuit design in Hspice.
  2. Define the noise margins and the voltage transfer characteristic of the circuit in the netlist file.
  3. Specify the parameters for the circuit components, such as the threshold voltage, mobility, and gate oxide thickness.
  4. Run the simulation to obtain the output data file.
  5. Use a script or a tool to extract the noise margin data from the output file.
  6. Plot the Butterfly curves using the extracted data.
There are some tools available that can help you automate this process, such as the Cadence Design Systems' Virtuoso Schematic Editor, which has built-in noise margin analysis tools. Alternatively, you can use MATLAB or Python to write a script to extract the noise margin data and plot the curves.
The exact steps may vary depending on your specific circuit design and the version of Hspice you are using, so it is recommended to refer to the Hspice user manual or contact the Hspice support team for more specific guidance.
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Why are ethical considerations important for CEA? Things need to mention during writing ethical considerations for cost-effectiveness analysis. Could anyone suggest me, please?
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I suggest to check the Second Panel, chapter 12:
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Modern method of roofing with eco-friendly benefits to the environment
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Kindly refer to my work on green roof substrates:
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I am interested in a two country model where one country has excess labor and the other country has shortage of labor due let us say aging population. The model should include remittances send to the excess labor country. Such a model can examine cost-benefits of such a relation. The model should be capable of examining a long run equilibrium relation where both
countries coulfd be better off.
Such a model maybe can be geralized intto two group of countries for example Europe vs North Africa .or
US-and Canda in relation to Central Americe countries.
Thank you
George K Zestos
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I can suggest that, Libya 🇱🇾and Egypt 🇪🇬
Although this to the small population of Libya not the aging population.
All the best.
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what is the impact of time horizon in benefit-cost assessment (BCA) Let's say if we perform BCA for 5 years and BCA for 10 years? Which is preferred and why?
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It depends on whether benefits accrued will continue over time horizon.
Benefits in future are always discounted....so you will have to check discount rates and apply them if appropriate.
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A Latin American company has National and International projects. National ones have high productivity (in terms of hours spent and hours billed to the customer), but the profit is low (compared to the International projects) because the incomes and the costs of the projects are in Pesos (a weak currency). On the other hand, the International projects have a productivity of around 60%, but since the incomes are in Dollars and the costs are in Pesos, they are highly profitable, even though they are not productive.
This has bias the perception and had led the company to believe that the 60% of productivity is fine because the profit is enough. On the other hand, is very difficult to compare one type of project with the other.
How would you recommend to assess the cost-benefit analysis in an agnostic point of view, that make both types of projects comparable?
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Balanced score card model can be a way out. There are 4 dimensions: financial, customer, inernal process, learning and growth. Weightage can vary according to your priority. Hope that it helps.
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What would be the standard protocol for estimating the economic studies in terms of benefit derived and cost incurred in any Agricultural experiments (both field trials and laboratory experiments)?
It is B:C ratio with my best understanding but few of the researchers claims it is C:B ratio. As I'm not an Economist I'm unable to decode this logic.
I'm looking forward to an appropriate answer with a good logical explanation.
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It can’t matter, which is used, since one is the inverse of the other...
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Full Question:
Which the best cost-benefit ratio for publication of papers in Journals with the keywords #SHM, #Civil Structures, #Smart Materials, #AI, #Electromehanical Impedance, #Analysis in-situ?
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Whenever I search for papers on google scholar regarding my topic i.e. 'Economic Evaluation of the Impact of Air Pollution on Public Health in Delhi', most research papers are based on Atmospheric Sciences. I intend to focus my review on the aspect of Economics. Kindly help me with the most relevant search engines or techniques, that might make my search for relevant articles easy.
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If you have one or more papers related to your topic, I suggest you mine the bibliographies for leads. You will begin to find the researchers writing on the topic and who is in their network. Continue this process until you no longer find new names.
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I suggest and have experience with lepton, tamarisk, flir vue, would they have any other indication?
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Please assist. I have used the used answers above to calculate the cost: benefit ratio and have a decimal figure (example 1,4) but some literature presents the cost: benefit ratio as (example 1:14.31). Please explain the second example.
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As explained above,the first example is the most appropriate way of representing the BCR.
I think probably the Authors of the literature you cited had an oversight and did not approximate the ratio accurately or it should be the result for another variable.
All the best!
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Please help. I am looking for Economic Evaluation Reference of any of the following plants:
Wedelia chinensis
Talinum portulacastrum
Tribulus terrestris
Leucas aspera
Rauvolfia serpentine
Ocimum canum
Bacopa monnieri
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Now a days the term "ecological agriculture" is used extensively worldwide in the context of protecting environment. Different chemicals like fertilizers, pesticides etc. are used to produce agricultural products successfully those have adverse effect on environment. That is why the use of these types of chemicals should be minimized/reduced to protect environment in the context of "ecological agriculture". But the computation of "cost benefit ratio" of an agricultural product is a must for the farmers or producers as to understand their profit or loss. However, the question arises whether "cost benefit ratio" is a considerable parameter in "ecological agriculture" or not.
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It very difficult to calculate economical benefits in terms of monetary returns of Environmental safety technologies. For researcher and environmentalists these technologies are very much convincing. But farming community essentially looking forward for economical benefits. So better to calculate b:c and ecological benefits too.
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Dear RG members
I am starting to teach CBA course for PhD students at my university. Could anyone recommend me what case study may be the best to show/teach to PhD students for CBA?
The case should be illustrative and implications should be easy to grasp to students, and it should be Scientific Paper or Report done by international organizations like WorldBank, ADB, or FAO etc.
Thank you for your support
Ganzorig Gonchigsumlaa
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Guide to Cost-Benefit Analysis of Investment Projects Economic appraisal tool for Cohesion Policy 2014-2020
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Dear connections,
I want to calculate the cost-benefits of standardising mechanical equipments e.g. tooling machines, lathes, CNC. In other words, I want to calculate the losses if I deviate from standardization. I am looking for research papers which shows the quantitative analyses of cost benefits from standardising. Or, if there is any paper which shows the process of calculating losses for deviating from standardization, I would like to get that too.
Please support me if you come across any such research paper.
Thank you,
Ankan
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U may analyse economic cost, social cost, Lost in quality and quantity, and may convert it into Money value.
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Dear Colleagues,
Energy communities are facing changing regulatory and technological landscapes, which represent both opportunities for and barriers to their development. On the one hand, the new European clean energy regulation envisages important roles for energy communities in energy systems and provides enabling conditions for their deployment (EU, 2019). Furthermore, new types of interactions among active consumers, prosumers and prosumagers are emerging, often facilitated by decentralized storage, smart grid technologies, distributed energy resources and other small-scale technologies, as well as local exchanges enabled by innovative blockchain-based peer-to-peer trading platforms and local energy markets (Giotitsas et al., 2015; Hahnel et al., 2019; Koirala et al., 2018b, 2019; Parra et al., 2016, 2017). All these evolutions create new opportunities for energy communities to play an active role in transitioning towards more sustainable energy systems (Devine-Wright, 2019; van der Schoor and Scholtens, 2019; Rommel et al., 2018; Karunathilake et al., 2018; Koirala et al., 2016; Bauwens, 2016; Schoor et al., 2016; Dóci et al., 2015). In turn, the integration of electricity, heating and transport sector together with community engagement is expected to contribute to more flexible, cost effective and efficient local energy systems (Koirala et al., 2016; Thellufsen and Lund, 2016). In this regard, energy communities are a modern development to re-organize the energy system to simultaneously integrate distributed energy resources and engage local communities (Bauwens and Devine-Wright, 2018; Koirala et al., 2016).
On the other hand, policies that have boosted the development of local renewable projects are being withdrawn across several European countries, including pioneers like Denmark and Germany, where shifts from feed-in tariffs to more market-based instruments have progressively taken place (Bauwens et al., 2016; Leiren and Reimer, 2018; Lundberg, 2019). This has led energy communities to become increasingly professional and commercial and to search for new business models. This has notably involved a diversification of their revenue streams by proposing other offerings on the top of renewable energy generation, for example electric mobility services, energy efficiency models and demand side management (Funkhouser et al., 2015; Gui and MacGill, 2018; Herbes et al., 2017; Mirzania et al., 2019). Another notable evolution is the emergence of networks, intermediaries, coalitions and collaborative dynamics among initiatives, which help existing and aspiring communities with various aspects of project development and advocacy work (Bauwens et al., 2019; Hargreaves et al., 2013; Huybrechts and Haugh, 2018).
These changes in policies and business models will likely have consequences on the forms of, and motivations behind, participation in energy communities. Until recently, energy communities were driven by environmentally or socially motivated collectives of citizens willing to collaborate, share benefit and challenge incumbent energy systems (Bauwens, 2016; Koirala et al., 2018a; Rogers et al., 2008; Wirth, 2014). It remains to be seen how these policy changes and these evolutions in business models will affect the dynamics of community engagement. Similarly whether, these new networks and intermediary organizations will be able to ensure the inclusion of a broader diversity of communities is an open question.
This special issue in Sustainabilty will focus on the process aspects of the ongoing energy transition by contributing to knowledge acquisition on how these changing policy and technological landscapes affect energy communities in terms of conditions for emergence and development, motivations and social dynamics of collective action and participation business models, energy system integration options, local energy market design, policy and regulatory issues, socio-technical configurations and community engagement. In this context, this special issue invites interdisciplinary contributions on technological, socio-economic and institutional aspects of energy communities as well as their roles on the ongoing energy transition.
We invite manuscripts on following (not limited) topics:
- Local, virtual and hybrid energy communities
- Positive energy districts and neighborhoods
- Energy communities as commons
- Opportunities for and challenges to energy communities
- Enabling technologies and digitalization
- Techno-economic and socio-institutional assessments of energy communities
- (Self-) governance, ownership, business models, cost-benefit allocations
- Polycentricity, meta-governance, and policy-mix approach for energy communities
- Design of local energy markets
- Demand response and flexibility in energy communities
- Intrinsic motivations and drivers for energy communities
- Energy system integration and role of multi-energy carriers (electricity, hydrogen, heat)
- Socio-technical innovations and alignments
- Citizens and community engagement
- Regulation and legal frameworks for energy communities
- Changing roles and responsibilities
- Multi-actor perspectives on energy communities
- Energy communities and local/regional energy transition
- Energy Citizenship
- Digital twins of energy communities
Keywords: Community energy, community engagement, renewable energy, energy transition, peer-peer energy exchange, business models, institutional design, energy citizenship, (self-) governance, socio-technical innovation
Guest editors:
Binod Koirala
David Parra
Thomas Bauwens
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Dear Binod Prasad Koirala
Thank you for your invitation to participate in this issue.
The only problem with MDPH publications is the high publishing fees. I hope these publishers will reduce or exempt researchers from some of these fees so that they can publish their valuable research.
Best regards
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Hello everyone, so I'm trying to create a least cost-benefit map and factors for least cost-benefit are very varied like slope, elevations, region vegetations and etc. I must say I'm very confused between these varied factors and I just want to make sure that I choose the correct and suitable factor in my map. although I want to create several maps of least cost-benefit but i want to ask you: what is the best factor for least cost-benefit for reaching a site to another in a region like southeast Iran?
if you are unfamiliar with the region and topography of southeast Iran, I must say that it's just like the most regions in Baluchistan of Pakistan with low hills in east of the region and high mountains in west. the vegetations of regions is also similar.
so if anyone could help me, i will be so grateful. thank you.
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Hi! If there is land-use continuity (what you need to be sure about.... ususally archaeology is recorded right in the modern villages/settlement spots.. rather due to built-up change and infrastructure then due to the fact that the patterns show 'realistic' archaeological land-use opportunities) you can integrate the NDVI in your friction surface by recalculating the value of the vegetation density:
produce your NDVI map with a remote sensing software (eg multispec, find the guidance for the channel recalculation attached. Download the multicpec software here: https://engineering.purdue.edu/~biehl/MultiSpec/
in your GIS, you can recalculate the values of your raster image to any range you like and finally create no-movement corridors (high values) and potential movement corridors (low values). I am not sure that high vegetation areas would enable movement though...
adding all your raster values to one final raster would result in a friction surface.
in general, you might want to have a look at these books for technical guidance (C/L) and a methodical overview (P):
Conolly/Lake:
Geographical Information Systems in Archaeology (Cambridge Manuals in Archaeology)
Parcak:
Satellite Remote Sensing for Archaeology
Good luck
Michael
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Urgent>> I am a master student doing a study about privacy behavior on Facebook.. my research model consists of two independent variables (cost and benefit), each independent variables consists of six items.. in addition to two dependent variables each of three items.. all measurement models are reflective.. the number of samples is 120.. all answers are within the range (1 to 5) or (strongly disagree to strongly agree).. I use the pls algorithm in smartpls software to analyse my model.. the problem is most of the outer loadings are below (o.7).. one variable has Cronbach's alpha below (0.7) while three varibles have AVE below (0.5). I try to delete the items with the least loadings but there is no recognized effect on the Cronbach's alpha and the AVE.. kindly I need to know how to fix this problem ??
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Is the number of items sufficient to give you a good loading? Any multi-collinearity among items or factors.
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Dear All.
I trying to build a model and conduct cost effectiveness analysis of diagnostic test. I have sensitivity data of different diagnostic test like ultrasonography, MRI, Tomosynthesis. What is the most appropriate way to calculate probabilities from sensitivity data.
Thanks
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How would you like to define 'most cost-effective' for this? Do you have a willingness to pay in mind?
I would like to warn that if you are working with a group of women with a positive screening mammogram, then incidence and prevalence numbers for the general population are not relevant.
Are you data on sensitivity and specificity based on a population of women with positive screening mammogram? Might the different tests even be performed at the same time on the same women?
At this stage, it may be best to read up on cost-effectiveness in general.
There are books on the subject, e.g.:
Methods for the Economic Evaluation of Health Care Programmes (Oxford Medical Publications)
by Michael F. Drummond , Mark J. Sculpher , et al.
Cost-Effectiveness in Health and Medicine 2nd Edition
by Peter J. Neumann, Gillian D. Sanders, et el.
Decision Modelling for Health Economic Evaluation (Handbooks in Health Economic Evaluation) 1st Edition
by Andrew Briggs, Karl Claxton, Mark Sculpher
Decision Making in Health and Medicine: Integrating Evidence and Values
by M. G. Myriam Hunink , Milton C. Weinstein, et al.
ISPOR focuses on drugs, which works a bit differently than evaluation of tests, but they do make some good background readily available:
While old, I think that I should still recommend chapter 10 from my dissertation concerning specific aspects of breast cancer screening evaluation:
I also uploaded it to the ResearchGate web site:
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I am looking for studies on costs and benefits of salvage logged forests (preferrably after windthrow /-break) to compare with the effort of salvage logging with different intensities in a recent windthrow.
Thanks!
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Dear Daniel Kraus,
The importance of this type of analysis is growing due to the increasingly frequent climatic cataclysms. The costs of this type of processes may vary considerably depending on the type of risk of climatic disasters, applied technology, economy, climate zone, raw material costs, market prices of specific wood species obtained from forested areas, rehabilitation costs degraded by civilization and after climatic disaster of forest area and afforestation determined tree species, etc. It is important to develop a universal model for estimating this kind of costs, ie to build a multi-factor model, taking into account various factors including changes in the type of risk of climate disasters, applied technology, economy, climate zone, raw material costs, market prices of specific species wood obtained from forested land, costs of reclamation degraded by civilization and after a climate disaster of forest area and afforestation with specific tree species, etc.
Best wishes
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I want to submit a paper exploring a cost-effectiveness analysis for a novel technology. The model we developed is currently being published as a subsection in a paper (with all details in the supplementary) with the manuscript's primary aim focused on the clinical aspects of the technology and there are many aspects of the cost-effectiveness analysis which are not included in that paper.
I am looking for advise on the best way I can reference the model structure to the initial paper and develop a manuscript which can aptly explain the scope and type of findings such an evaluation can report, specially when the initial paper in itself is under review and not published. Also, I feel that a health economics related journal would be better able to review and validate the model structure and methods as the model methods is an addition on the existing methodology being used and would be of interest for the readers of health economics and HTA focussed journals.
I look forward to some guidance on this matter, thank you so much in advance!
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I may have misunderstood your questions, but about: "the best way I can reference the model structure". I see only one way, therefore that is automatically the best way: refer to the submitted manuscript as 'submitted'.
However, as reviewer I would find it unacceptable if you only refer to a manuscript that I cannot read (yet) for your model structure.
BTW: You can't give a specific reference to a submitted paper, therefore I don't see how it matters how well-respected journal is. As it happens, just recently I saw a paper in an OK journal refer to a preceding paper with their model that was published in a journal on Beall's List of predatory open-access publishers. They practically repeated their model description, though.
You could include a copy of the submitted manuscript with your submission of your CEA paper. However, I would not like getting referred to another paper, find a sub-section on CEA, and get referred from there to a technical appendix.
I would suggest to include a description of your model in your CEA paper, and include a new technical appendix with full detail concerning the model version of this CEA paper. You can keep the description of your model in the main text relatively brief because you can refer to a submitted manuscript and to the appendix. I also advise to write an original description in the main text because papers do not like copying other papers, i.e. they generally require original material. I don't expect that the appendix needs to be so original but make sure that it does describe the model version of your new paper and not of the clinical paper.
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I am working on a cost-benefit project that aims to identify costs and benefits of FAD(fish aggregating device) beaching vs management actions to prevent/retrieve beached FADs. Any ideas how I could assign monetary value for habitat loss? Thanks!
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Good project
please see the paper
Costanza R, d’Arge R, de Groot R, Farber S, Graso M, Hannon B, Limburg K, Naeem S, O’Neill R, Paruelo J, Raskin R, Sutton P, van den Belt M (1997), The value of the world’s ecosystem services and natural capital, Nature, 387, 253-2690.
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Benefit:cost ratio, Net production value etc are common expressions to show the economics in agronomical experiments. I would like to know the modern and internationally acceptable expressions of economics in agronomical experiments. Plz
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You may follow this
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I am comparing the existing methods of government support for creative industries. Could you tell me, in your view, what methods of quantitative analysis are reasonable to use to estimate the effectiveness of government support measures for the development of creative industries planned for implementation? Is it appropriate to use cost-effectiveness analysis method for this purpose? Is it possible to use any other methods and what kind of literature would you recommend for study practical examples of their use?
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Noemi, thank you for your questions! They helped me to refine my evaluation plan!
I would like to compare several different measures of state support aimed at increasing the contribution of the creative industries to the city's economy: subsidizing the creation of creative clusters, providing benefits for renting housing to specialists in creative professions, grant support for private cultural and creative initiatives, subsidizing additional education for adults and children. I put emphasis on forecasting for adoption decision making for the development of the government support program. Ideally, I would like to estimate the results in terms of monetary benefits. But it is also interesting to use "growth in the number of specialists per unit of money spent" as an indicator of effectiveness.
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Health Economics, Cost-effectiveness analysis, Uncertainty analysis and Oncology modelling
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Thanks Rob. Your response was very helpful. Considering alternate survival distribution seems very logical here. Thank you again for sharing your knowledge with us and I hope more people will get benefit by reading this. Best Regards, Masnoon
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Hi everyone!
I was wondering if someone knows about a company that sequences ChIP-ed DNA at an accesible price. I just had a look at some of them but sometimes the service costs a fortune even when customers state that the service was awfull.
If you've performed ChIP-Seq before, where did you sequence your DNA samples and how was the cost-benefit ratio?
Thanks in advance!! :D
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Thank you guys!
I'll try reaching Activemotif and Fasteris.
Hope you're having a great day!
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- Carbon Capture,
- Biodiversity,
- Soil Erosion,
Advantages and constraints of the 2 options?
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If you ask me about my opinion I’ll say all of them right
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When we only know about its current price in the market, life span & not knowing its original cost and salvage value.
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Dear Wasseem
Assuming a zero salvage value does not cause the asset to be overvalued. A zero salvage value (using straight-line depreciation method) does cause the annual depreciation to be the highest (assuming not reverting to market value based accounting midstream) and the asset value to be the lowest (i.e. potentially an undervalued asset). The instant you estimate the salvage value to be greater than zero than the annual depreciation expense declines and the asset value throughout the remaining life of the asset increases.
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Self regulation can reduce operation as cost ?
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Dear Abdul Rahman Mahmud,
Are you refering to in-house rules and regulations as " Self Regulation"?
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how we calculate incremental cost benefit ratio (ICBR)
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First of all, we have to record the yield under different treatments. Then, the increase in yield under different treatments with respect to the yield obtained from control is to be deducted. Then, we have to find the cost of increased yield treatment wise. Then, the cost incurred for individual treatment is to be calculated. Substracting the cost incurred from the cost of increased yield, we will get the net profit for each treatment. Then, we have to divide the net profit by the cost for each and every treatment. Now, the Incremental Cost Benefit Ratio (ICBR) is to be written as 1: (the result we get from that division).
For better understanding this article can be followed:
Deleted research item The research item mentioned here has been deleted