Примери за използване на Non-experimental на Английски и техните преводи на Български
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Non-experimental clinical veterinary applications.
Available physico-chemical data is experimental or non-experimental data.
Non-experimental, agricultural or clinical veterinary practices and trials;
They are an important strategy for discovering fair comparisons in non-experimental data.
Evidence from non-experimental descriptive studies, such as comparative studies, correlation studies and case-control studies.
Matching is a powerful strategy for finding fair comparisons in non-experimental data.
Earlier non-experimental studies of actual elections suggest that voters are not able to accurately assess the performance of incumbent politicians.
In the first year's project,you will perform one experimental and one non-experimental study together with three other students.
Earlier non-experimental studies of actual elections suggested that voters are not able to accurately assess the performance of incumbent politicians.
In these settings,we can carefully construct comparisons within non-experimental data in an attempt to approximate an experiment.
I will devote all of chapter 4 to experiments,so here I'm going to focus on two strategies that can be used with non-experimental data.
One approach to making causal estimates from non-experimental data is to look for an event that has randomly assigned a treatment to some people and not to others.
In this appendix, I will summarize some ideas about making causal inference from non-experimental data in a slightly more mathematical form.
Further, non-experimental approaches can be helpful if you want to take advantage of data that already exist in order to design a randomized controlled experiment.
This protection against the unknown is very powerful, andit is an important way that experiments are different from the non-experimental techniques described in chapter 2.
We will therefore discuss the principles and methods of non-experimental prognostic research, together with the practice of prognostic research in a clinical setting.
The accent is on proper formulation of the research problem with a view to clinical andregulatory relevance of the study results, and on requirements for validity in non-experimental research.-.
Make your experiment more humane by replacing experiments with non-experimental studies, refining the treatments, and reducing the number of participants.
In particular, non-experimental approaches can be helpful if logistical constraint prevent you from conducting an experiment or if ethical constraints mean that you do not want to run an experiment.
It is certainly true that it is difficult to reliably make causal estimates from non-experimental data, but I don't think that means that we should never try.
Thus his emphasis on casual analysis of non-experimental data is a reminder that this important sector of applied statistics is far less developed than descriptive statistics and experimental analysis….
This course expands upon introduction to epidemiology to build the learners knowledge and skills on the design, conduct, analysis,and interpretation of non-experimental studies of both infectious and non-infectious diseases.
In matching, the researcher looks through non-experimental data to create pairs of people who are similar except that one has received the treatment and one has not.
In terms of the first R(“replacement”), comparing the emotional contagion experiment(Kramer, Guillory, and Hancock 2014) and the emotional contagion natural experiment(Lorenzo Coviello et al. 2014)offers some general lessons about the trade-offs involved in moving from experiments to natural experiments(and other approaches like matching that attempt to approximate experiments in non-experimental data; see chapter 2).
In matching, the researcher looks through non-experimental data to create pairs of people who are similar except that one has received the treatment and one has not.
One example of the power of matching strategies with massive non-experimental data sources comes from research on consumer behavior by Liran Einav and colleagues(2015).
In conclusion, estimating causal effects from non-experimental data is difficult, but approaches such as natural experiments and statistical adjustments(e.g., matching) can be used.
In addition to the ethical benefits,switching from experimental to non-experimental studies also enables researchers to study treatments that they are logistically unable to deploy.
If you are already aware of the problems that can arise when making causal estimates from non-experimental data, you might skip the naive approach and consider running a field experiment where you would sell a specific item- say, a golf club- with a fixed set of auction parameters- say, free shipping and auction open for two weeks- but with randomly assigned starting prices.
In addition to the ethical benefits, switching from experimental to non-experimental studies also enables researchers to study treatments that they are logistically unable to deploy.