interpreting results in clinical researchmeasures of precisiondiagnostic accuracy measuresnumber needed to treat (NNT) or the number needed to harm (NNH)test and treatment thresholdstest accuracy - surrogate for patient outcomessensitivity, specificity, and predictive values of diagnostic tests...
EDITOR, - Most statisticians will understand Paul Brennan and Peter Croft's concern over the use of P values and confidence intervals in observational studies.1 The authors' remarks are aimed, however, specifically at studies in which researchers are interested in "a presumed cause or treatment."...
Interpreting the results of patient reported outcome measures in clinical trials: The clinician's perspective p pThis article deals with the problem of interpreting health-related quality of life (HRQL) outcomes in clinical trials. First, we will briefly describe h... HJ Schünemann,EA Akl,GH ...
It is thus vitally important that these contain valid interpretations of the results of the study, since the publication of misleading conclusions may both nullify the research in question and falsely influence medical practice and further research.doi:10.1136/bmj.281.6255.1612...
Analyzing and interpreting the results of randomized experiments involves organizing data, and processing it with analytical tools according to the research goals. Learn how features of the randomized experiment inform this process and its results. ...
(1997). Students’ difficulties in practicing computer-supported data analysis: Some hypothetical generalisations from results of two exploratory studies. In J. Garfield & G. Burrill (Eds.), Research on the role of technology in teaching and learning statistics (pp. 169–190). Voorburg, The ...
Recommendations for training in the use of the Thematic Apperception Test (TAT) Comments on the article by E. D. Rossini and R. J. Moretti (see record 1997-04849-016) regarding interpretation of the Thematic Apperception Test (TAT). Th... HN Garb - 《Professional Psychology Research & Prac...
Misinterpreting P-Values In Research 喜欢 0 阅读量: 25 作者: Satvinder Dhaliwal 摘要: The overuse of p-values to dichotomize the results of research studies as being either significant or non-significant has taken some investigators away from the main task of determining the size of the ...
Research Design Normal Distribution Advanced Graphs Sampling Distributions Estimation Logic of Hypothesis Testing ContentsStandard IntroductionStandard Video Significance TestingStandard Video Type I and II ErrorsStandard Video One- and Two-Tailed TestsStandard Video Significant ResultsStandard Non-Signific...
Filed Under: Hypothesis Testing Tagged With: assumptions, choosing analysis, interpreting results, nonparametric Likert Scale: Survey Use & Examples By Jim Frost 6 Comments What is a Likert Scale? The Likert scale is a well-loved tool in the realm of survey research. Named after psychologist Re...