Literature DB >> 19509392

Explorations in statistics: confidence intervals.

Douglas Curran-Everett1.   

Abstract

Learning about statistics is a lot like learning about science: the learning is more meaningful if you can actively explore. This third installment of Explorations in Statistics investigates confidence intervals. A confidence interval is a range that we expect, with some level of confidence, to include the true value of a population parameter such as the mean. A confidence interval provides the same statistical information as the P value from a hypothesis test, but it circumvents the drawbacks of that hypothesis test. Even more important, a confidence interval focuses our attention on the scientific importance of some experimental result.

Mesh:

Year:  2009        PMID: 19509392     DOI: 10.1152/advan.00006.2009

Source DB:  PubMed          Journal:  Adv Physiol Educ        ISSN: 1043-4046            Impact factor:   2.288


  20 in total

1.  Inorganic phosphate and lactate potentiate the pressor response to acidic stimuli in rats.

Authors:  Guillaume P Ducrocq; Marc P Kaufman
Journal:  Exp Physiol       Date:  2020-02-19       Impact factor: 2.969

2.  Blocking the transient receptor potential vanilloid-1 does not reduce the exercise pressor reflex in healthy rats.

Authors:  Guillaume P Ducrocq; Juan A Estrada; Joyce S Kim; Marc P Kaufman
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2019-07-31       Impact factor: 3.619

3.  How can we tell if frogs jump further?

Authors:  Gordon B Drummond; Brian D M Tom
Journal:  J Physiol       Date:  2011-07-15       Impact factor: 5.182

4.  The fickle P value generates irreproducible results.

Authors:  Lewis G Halsey; Douglas Curran-Everett; Sarah L Vowler; Gordon B Drummond
Journal:  Nat Methods       Date:  2015-03       Impact factor: 28.547

5.  Statistical considerations in reporting cardiovascular research.

Authors:  Merry L Lindsey; Gillian A Gray; Susan K Wood; Douglas Curran-Everett
Journal:  Am J Physiol Heart Circ Physiol       Date:  2018-07-20       Impact factor: 4.733

6.  A probabilistic approach to quantify the impact of uncertainty propagation in musculoskeletal simulations.

Authors:  Casey A Myers; Peter J Laz; Kevin B Shelburne; Bradley S Davidson
Journal:  Ann Biomed Eng       Date:  2014-11-18       Impact factor: 3.934

7.  ASIC1a does not play a role in evoking the metabolic component of the exercise pressor reflex in a rat model of peripheral artery disease.

Authors:  Guillaume P Ducrocq; Joyce S Kim; Juan A Estrada; Marc P Kaufman
Journal:  Am J Physiol Heart Circ Physiol       Date:  2020-06-05       Impact factor: 4.733

8.  Statistical considerations for occupational and environmental physiology.

Authors:  Douglas Curran-Everett
Journal:  Temperature (Austin)       Date:  2019-07-08

Review 9.  Basic statistical considerations for physiology: The journal Temperature toolbox.

Authors:  Aaron R Caldwell; Samuel N Cheuvront
Journal:  Temperature (Austin)       Date:  2019-06-25

Review 10.  Uncertainty in the translation of preclinical experiments to clinical trials. Why do most phase III clinical trials fail?

Authors:  Pedro R Lowenstein; Maria G Castro
Journal:  Curr Gene Ther       Date:  2009-10       Impact factor: 4.391

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