Lem Moyé1. 1. From the Department of Biostatistics, School of Public Health, University of Texas Health Science Center, Houston. lemmoye@msn.com.
Abstract
RATIONALE: Biostatistics continues to play an essential role in contemporary cardiovascular investigations, but successful implementation of biostatistical methods can be complex. OBJECTIVE: To present the rationale behind statistical applications and to review useful tools for cardiology research. METHODS AND RESULTS: Prospective declaration of the research question, clear methodology, and study execution that adheres to the protocol together and serve as the critical foundation of a research endeavor. Both parametric and distribution-free measures of central tendency and dispersion are presented. T testing, ANOVA, and regression analyses are reviewed. Survival analysis, logistic regression, and interim monitoring are also discussed. Finally, common weaknesses in statistical analyses are considered. CONCLUSIONS: Biostatistics can be productively applied to cardiovascular research if investigators (1) develop and rely on a well-written protocol and analysis plan, (2) consult with a biostatistician when necessary, and (3) write results clearly, differentiating confirmatory from exploratory findings.
RATIONALE: Biostatistics continues to play an essential role in contemporary cardiovascular investigations, but successful implementation of biostatistical methods can be complex. OBJECTIVE: To present the rationale behind statistical applications and to review useful tools for cardiology research. METHODS AND RESULTS: Prospective declaration of the research question, clear methodology, and study execution that adheres to the protocol together and serve as the critical foundation of a research endeavor. Both parametric and distribution-free measures of central tendency and dispersion are presented. T testing, ANOVA, and regression analyses are reviewed. Survival analysis, logistic regression, and interim monitoring are also discussed. Finally, common weaknesses in statistical analyses are considered. CONCLUSIONS: Biostatistics can be productively applied to cardiovascular research if investigators (1) develop and rely on a well-written protocol and analysis plan, (2) consult with a biostatistician when necessary, and (3) write results clearly, differentiating confirmatory from exploratory findings.
Authors: Alexandre Moura Dos Santos; Rafael Giovani Misse; Isabela Bruna Pires Borges; Bruno Gualano; Alexandre Wagner Silva de Souza; Liliam Takayama; Rosa Maria R Pereira; Samuel Katsuyuki Shinjo Journal: Adv Rheumatol Date: 2021-01-08
Authors: Carlos V Serrano; Fernando R de Mattos; Fábio G Pitta; Cesar H Nomura; James de Lemos; José Antonio F Ramires; Roberto Kalil-Filho Journal: Mediators Inflamm Date: 2019-03-26 Impact factor: 4.711
Authors: Dorsa Varshavi; Flora H Scott; Dorna Varshavi; Sunil Veeravalli; Ian R Phillips; Kirill Veselkov; Nicole Strittmatter; Zoltan Takats; Elizabeth A Shephard; Jeremy R Everett Journal: Front Mol Biosci Date: 2018-04-09