Sentence examples for use observational data to from inspiring English sources
Cosma Shalizi and Andrew Thomas, statisticians at Carnegie Mellon University, contend that it is mathematically impossible to use observational data to establish that contagion is a major reason behaviors spread.
One way to decide whether a theory or a theoretical claim is true, close to the truth, or acceptably probable is to derive predictions from it and use observational data to evaluate them.
Reanalyses products are widely used in the energy, agricultural, insurance (and re-insurance), and water sectors.4 It is also possible to use observational data to reconstruct extreme weather events and/or nature-induced disasters (Brohan et al. 2016).
The participants thought it valuable to use observational data to generate hypotheses regarding patient baseline characteristics that are likely to predict clinically important changes in PROs in response to anemia treatment and to design adequately powered blinded randomized controlled trials of anemia treatment using PROs as primary rather than secondary end points.
The aim of this study was to use observational data to investigate if homeopathic product users consumed fewer antibiotics and to describe the characteristics of pre-school children given homeopathic products.
Verbal protocol analysis was used to investigate how experienced and non-experienced raters select and use observational data to arrive at judgments and decisions about trainees' performance in the clinical workplace.
Chen and Tung used observational data to trace the pathways of recent ocean heating.
However, greater attention to innovative methods for using observational data to study rare disease health outcomes is needed.
However, using observational data to compare outcomes associated with antipsychotic polypharmacy may result in biased estimates [ 15].
As for using observational data to identify the effect of such interventions, numerous attempts have being made, see e.g. [ 21– 21].
For example, propensity score analysis can be used to reduce or eliminate the effects of confounding when using observational data to estimate treatment effects [ 27].
