Sentence examples for using different statistical methods from inspiring English sources

Exact(26)

McCann et al. (1986) compared cancer potencies derived using different statistical methods and found a large difference in risk estimates for formaldehyde (3.7 × 10−6 to 9,500 × 10−6), depending on the method used.

The present study used empirical data from total knee arthroplasty patients from the MOBILE trial and reanalyzed it to determine the impact on treatment effect (postoperative flexion range-of-motion score) of using different statistical methods of dealing with adjustment of baseline differences.

Several intrusion detection systems have been developed to protect networks using different statistical methods and machine learning techniques.

What it will not be showing is that their results have been repeated several times by other scientists using different statistical methods; that the paper claiming to have exposed the mistake has been comprehensively debunked; and that the lines of evidence used by Mann, Bradley and Hughes are just a few among hundreds demonstrating that 20th-century temperatures were anomalous.

VIDEAN allows modeling the target property using different statistical methods.

Afterwards, I usually analyze the germination data from previous days using different statistical methods on R, or practice making different types of graphs.

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Similar(34)

INTERNATIONAL comparisons of growth figures have become even more hazardous than usual in recent years, because countries use different statistical methods to adjust for changes over time in the quality of computers.

Various groups use different statistical methods, sometimes resulting in very different numbers that are hotly debated.

The EFSA report also used different statistical methods than the IARC evaluation.

It uses different statistical methods to correlate effects and structural elements of a chemical molecule.

IPD meta-analysis permits synthesists to perform subgroup analyses not conducted by the original collectors of the data, to check the data and analyses in the original studies, to add new information to the data sets, and to use different statistical methods.

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