Selection of Statistical Methods

Four hundred seven healthy, full-term infants were divided into three groups and fed, respectively, a formula of evaporated milk and water with 5% carbohydrate; human milk; and a special modified evaporated milk designed to simulate human milk. No other foods were added to the diet. A comparison of the three groups was made, based on weight gains from birth to the end of the first 4 weeks. The conclusions refer only to weight gains; no attempt was made to determine the superiority of any particular diet. The data show no significant differences in the 4-week weight gains among the three groups of infants, although sensitive statistical methods could be validly applied to the problem. These methods are explained. The authors wish to emphasize the many variables which must be taken into account in a study of this sort; the necessity for careful selection of valid statistical methods; the importance of critical clinical judgement in the evaluation of the results.

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Oxford Handbook of Key Clinical Evidence

10.1093/med/9780198729426.001.0001 ◽

2016 ◽

Cited By ~ 1

Keyword(s):

Clinical Practice ◽

Statistical Methods ◽

Clinical Evidence ◽

Trial Data ◽

Evidence Based ◽

Medical Studies ◽

Surgical Practice ◽

One Stop ◽

Based Medicine ◽

Selection Of

Key trials have been selected for their relevance to clinical practice, allowing the reader to quickly access some of the most fundamental issues that influence their day-to-day activities. The Handbook covers all major medical and surgical specialties, with a new section on paediatrics added for the second edition. Introductory chapters have been included on the development of evidence-based medicine, giving uninitiated readers the tools required to critically analyse and understand medical studies. Complex trials have been distilled to key relevant facts, for quick reference and understanding. This is a comprehensive one-stop shop for medical students, trainees, and clinicians of all levels that presents key information for a selection of seminal evidence that has informed medical and surgical practice. Readers are introduced to the statistical methods and tools needed to critically analyse trial data, providing a key for the terms and statistical methods encountered in the book and within clinical research as a whole. Leading figures in the major specialties have selected and summarized some of the most important trials, while analysis of the key message and impact of the trial firmly places the evidence into a practical setting for the reader. Key study features and results are examined, while the difficulties or problems associated with the trials are outlined.

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Statistical Methods in the Selection of Navy and Army Personnel

Supplement to the Journal of the Royal Statistical Society ◽

10.2307/2983558 ◽

1946 ◽

Vol 8 (2) ◽

pp. 139 ◽

Cited By ~ 3

Author(s):

P. E. Vernon

Keyword(s):

Statistical Methods ◽

Army Personnel ◽

Selection Of

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Vliv vybraných osobnostních korelátů na kreativitu v tanci u adolescentů

Studia sportiva ◽

10.5817/sts2011-2-10 ◽

2011 ◽

Vol 5 (2) ◽

pp. 83-92

Author(s):

Lenka Kraváčková ◽

Marie Blahutková

Keyword(s):

Physical Education ◽

Secondary School ◽

Statistical Methods ◽

Personal Data ◽

Significance Level ◽

Adolescent Dancers ◽

Experimental Group ◽

Selection Of ◽

Movement Test

The purpose of this research is to certify influence of dance on creativity of two chosen groups of adolescents – dancers and nondancers. For this study we compiled a selection of adolescent dancers from a folklore ensemble and adolescent nondancers. They were tested with Brace test and Creativity movement test. By means of personality enquiry we received personal data from the tested groups. Using statistical methods we compared the obtained data. In the Brace Test the experimental group showed a higher score only on the substantive significance level, whereas in the test of physical creativity no statistically significant differences were found. Only the substantive significance has been proved. The results indicate that a suitable physical education form at a secondary school contributes to an all-round development in adolescents.

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Statistical analysis used in LIS research produced by Pakistani authors

Online Information Review ◽

10.1108/oir-02-2021-0092 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Ahsan Ullah ◽

Kanwal Ameen

Keyword(s):

Statistical Methods ◽

Statistical Techniques ◽

Inferential Statistics ◽

Growth Trend ◽

Content Type ◽

Female Authors ◽

Content Analysis Method ◽

Visible Growth ◽

Parametric Statistics ◽

Selection Of

PurposeStatistical methods are important for meaningful analysis, critique and interpretation of results. The current study aims to investigate the use of statistical methods used in LIS research articles produced by Pakistani authors during 2001–2016.Design/methodology/approachContent analysis method with both the qualitative and quantitative components was used. LIS articles published by Pakistani authors in national and international journals from 2001 to 2016 were selected. The descriptive and inferential statistics were used to analyze the usage of statistical techniques.FindingsThe findings show that use of descriptive statistics remained higher as compared to inferential statistics in the LIS research produced by Pakistani authors. However, a visible growth trend in the use of inferential statistical techniques is found. Males are two times more likely to use inferential statistics as compared to female authors. Articles published in foreign journals and impact factor journals used more inferential statistics as compared to local and nonimpact factor journals. Parametric inferential statistics is more popular among Pakistani authors as compared to nonparametric. Faculty was more inclined toward using parametric statistic. The percentage of collaboration was higher in the papers using parametric statistics. Few articles reported the tests to fulfill the assumptions of parametric and nonparametric statistics.Originality/valueThis study can be used to better understand the trends of statistical techniques used in LIS research and authors' orientation in this regard. It will be helpful for future researchers in the selection of appropriate statistical techniques to be used.

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