Avaliação do aprendizado dos pacientes sobre a regra do ABCD: um estudo randomizado no sul do Brasil

Müller, Karen; Bonamigo, Renan Rangel; Crestani, Thayse Antoniolli; Chiaradia, Gisele; Rey, Maria Carolina Widholzer

doi:10.1590/s0365-05962009000600004

Cited by 5 publications

(1 citation statement)

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“…Frequently, the use of more than one statistical test may be necessary in a single research project, due to the different hypotheses being tested. This is the case of the RCT conducted by Muller et al 11 , which investigated the effects of an intervention to improve patients' knowledge of skin lesions suspected of being melanoma. Different tests may also be combined to analyze independent and paired data, as can be seen in the study by Bagatin et al 4 In such cases, a thorough consideration of which tests should be used to test not only the primary association of interest, but also secondary associations, is essential.…”

Section: Combining Statistical Testsmentioning

confidence: 99%

Test of association: which one is the most appropriate for my study?

Gonzalez-Chica

Bastos

Duquia³

et al. 2015

An. Bras. Dermatol.

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BACKGROUNDHypothesis tests are statistical tools widely used for assessing whether or not there is an association between two or more variables. These tests provide a probability of the type 1 error (p-value), which is used to accept or reject the null study hypothesis.OBJECTIVETo provide a practical guide to help researchers carefully select the most appropriate procedure to answer the research question. We discuss the logic of hypothesis testing and present the prerequisites of each procedure based on practical examples.

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Section: Combining Statistical Testsmentioning

confidence: 99%