Abstract
Statistical knowledge is at the basis of understanding and reporting the results of scientific research. Basic concepts of probability are the first building blocks for most of the statistical concepts. Conditional probability, at the basis of Bayesian statistics, is becoming popular among researchers and usually opposed to the most commonly used frequentist approach.
This last one is based on the concepts of distribution of variables, hypothesis testing, p-value, and confidence intervals.
Systematic reviews and meta-analyses are becoming important tools for synthesis of the available evidence. A new, still unexplored, method of analyses of primary studies is the network meta-analysis for multiple treatment comparisons. This may become an important way of assessing the efficacy of numerous treatments when direct comparison of primary studies is impossible.
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References
M. Pagano, K. Gauvreau, Principles of biostatistics, 2nd edn. (Duxbury Press, Pacific Grove, 2000)
C.F. Westbury, Bayes’ rule for clinicians: an introduction. Front. Psychol. 1, 192 (2010)
C.J. Gill, L. Sabin, C.H. Schmid, Why clinicians are natural bayesians. Br. Med. J. 330, 1080–1083 (2005)
M. Howashi et al., Relationship between the CT value and cortical bone thickness at implant recipient sites and primary implant stability with comparison of different implant types. Clin. Implant Dent. Relat. Res. 18(1), 107–116 (2016)
S.T. Becker, et al., Long-term survival of straumann dental implants with TPS surfaces: a retrospective study with a follow-up of 12 to 23 years. Clin. Implant Dent. Relat. Res. online first article (2015). doi:10.1111/cid.12334
B. Pommer et al., How meta-analytic evidence impacts clinical decision making in oral implantology: a Delphi opinion poll. Clin. Oral Implants Res. 27(3), 282–287 (2016)
M. Borenstein, L.V. Hedges, J.P.T. Higgins, H.R. Rothstein, Introduction to Meta-analysis, 1st edn. Chichester, (Wiley, 2009)
M.L. Perel, Cargo cult science and meta-analysis. Implant Dent. 24, 1 (2015)
S. Senn, F. Gavini, D. Magrez, A. Scheen, Issues in performing a network meta-analysis. Stat. Methods Med. Res. 22, 169–189 (2013)
C.J. Foote et al., Network meta-analysis: users’ guide for surgeons: part I – credibility. Clin. Orthop. Relat. Res. 473, 2166–2171 (2015)
N.J. Welton, D.M. Caldwell, E. Adamopoulos, K. Vedhara, Mixed treatment comparison meta-analysis of complex interventions: psychological interventions in coronary heart disease. Am. J. Epidemiol. 169, 1158–1165 (2009)
C.M. Faggion, S. Listl, N. Frühauf, H.-J. Chang, Y.-K. Tu, A systematic review and bayesian network meta-analysis of randomized clinical trials on non-surgical treatments for peri-implantitis. J. Clin. Periodontol. 41, 1015–1025 (2014)
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Iocca, O. (2016). Basics of Biostatistics. In: Iocca, O. (eds) Evidence-Based Implant Dentistry. Springer, Cham. https://doi.org/10.1007/978-3-319-26872-9_2
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DOI: https://doi.org/10.1007/978-3-319-26872-9_2
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