Planning for Prosthodontic Clinical Researches-Predictor and Outcome Variables and Statistical Analysis-
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- Kuboki Takuo
- Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences Sciences of Functional Recovery and Reconstruction Study of Oral and Maxillofacial Functional Recovery Department of Oral and Maxillofacial Rehabilitation
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- Minakuchi Hajime
- Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences Sciences of Functional Recovery and Reconstruction Study of Oral and Maxillofacial Functional Recovery Department of Oral and Maxillofacial Rehabilitation
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- Arakawa Hikaru
- Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences Sciences of Functional Recovery and Reconstruction Study of Oral and Maxillofacial Functional Recovery Department of Oral and Maxillofacial Rehabilitation
Bibliographic Information
- Other Title
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- 歯科補綴研究に役立つ統計学―臨床研究における予測・結果因子,統計解析―
- Predictor and Outcome Variables and Statistical Analysis
- 臨床研究における予測・結果因子, 統計解析
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Abstract
The choice of statistic methods and interpretation of these results are annoying issues to accomplish clinical epidemiologic researches. Especially beginners who have less experience in conducting clinical studies would often feel difficulty due to the mental hurdle of these statistical procedures. However, the major principles of clinical epidemiological research were setting of hypothesis and study design, thus predictor variables, outcome variables and related statistical methods would be automatically determined after decision of these steps.<BR>In this article, the essential knowledge to start clinical study such as various type of variables, selection of statistical procedures was reviewed following the previous review article that mainly focused on study designs.
Journal
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- Nihon Hotetsu Shika Gakkai Zasshi
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Nihon Hotetsu Shika Gakkai Zasshi 51 (1), 1-10, 2007
Japan Prosthodontic Society
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Keywords
Details 詳細情報について
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- CRID
- 1390282679388060288
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- NII Article ID
- 10018731299
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- NII Book ID
- AN00197911
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- ISSN
- 1883177X
- 03895386
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- Text Lang
- ja
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed