{"title":"STATISTICS FOR BIOINFORMATICS","authors":"M. Valeanu","doi":"10.1142/9789811228872_0032","DOIUrl":"https://doi.org/10.1142/9789811228872_0032","url":null,"abstract":"This paper provides an in-dept discussion of the statistical techniques applicable to molecular biology, the addressing topics such as statistical analysis of structural features, gene prediction, how to extract maximal values from small samples sets and quantifying uncertainty in sequencing results.","PeriodicalId":292274,"journal":{"name":"Statistical Methods for Biomedical Research","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127152533","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"MULTIPLE LINEAR REGRESSION","authors":"Robert Hultquist","doi":"10.1002/0471667196.ESS1707.PUB2","DOIUrl":"https://doi.org/10.1002/0471667196.ESS1707.PUB2","url":null,"abstract":"What happens when we are trying to derive a (linear) relationship between one dependent variable y and multiple k > 1 different independent variables xj? Well, in that case, we need multiple different parameters (slopes), one for each independent variable! For example, what is the linear relationship between the maintenance fees (costs y) of a bank as a function of the number of the new applications (x1) and the number of outstanding loans (x2)?","PeriodicalId":292274,"journal":{"name":"Statistical Methods for Biomedical Research","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120917455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"PRINCIPAL COMPONENT ANALYSIS AND FACTOR ANALYSIS","authors":"G. Belle, L. Fisher, P. Heagerty, T. Lumley","doi":"10.1002/0471602396.CH14","DOIUrl":"https://doi.org/10.1002/0471602396.CH14","url":null,"abstract":"This chapter contains sections titled: Introduction, ICA and PCA, Eigenvectors and Eigenvalues, PCA Applied to Speech Signal Mixtures, Factor Analysis, Summary","PeriodicalId":292274,"journal":{"name":"Statistical Methods for Biomedical Research","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125187661","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"COMPARISON OF MEANS BETWEEN TWO GROUPS","authors":"","doi":"10.1142/9789811228872_0006","DOIUrl":"https://doi.org/10.1142/9789811228872_0006","url":null,"abstract":"","PeriodicalId":292274,"journal":{"name":"Statistical Methods for Biomedical Research","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122898433","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"HYPOTHESIS TESTING","authors":"G. P. Beaumont","doi":"10.1007/978-94-009-5794-7_6","DOIUrl":"https://doi.org/10.1007/978-94-009-5794-7_6","url":null,"abstract":"","PeriodicalId":292274,"journal":{"name":"Statistical Methods for Biomedical Research","volume":"269 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126838447","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"DIAGNOSTIC TEST","authors":"","doi":"10.1142/9789811228872_0015","DOIUrl":"https://doi.org/10.1142/9789811228872_0015","url":null,"abstract":"Math 1010 is a prerequisite for Math 1030. This means that you should have a working knowledge of intermediate algebra. This diagnostic test covers some of this background material. You should give yourself this test and then check your answers with the solution sheet handed out in class on Thursday. 1. Three kinds of apples are all mixed up in a basket. How many apples must you draw (without looking) from the basket to be sure of getting at least two apples of the same kind? Answer: Four since the worst case senario is that you choose three apples, each of a diierent kind, from the barrel originally. Therefore the next one you choose must be the same type as one of the three you have already picked out. 2. There are 150 people in a class. If 80% of them are registered, how many are not registered? Answer: If 80% are registered, then (100-80)%=20% are not registered. Now we solve for what 20% of 150 is by the calculation: 150 0:2 = 30: The answer is that there are 30 people in the class who are not registered. 3. Express three-fths\" as a fraction, a decimal, and as a percentage.","PeriodicalId":292274,"journal":{"name":"Statistical Methods for Biomedical Research","volume":"265 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124307034","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"COMPARISON OF DISTRIBUTIONS OF CATEGORICAL VARIABLES","authors":"","doi":"10.1142/9789811228872_0008","DOIUrl":"https://doi.org/10.1142/9789811228872_0008","url":null,"abstract":"","PeriodicalId":292274,"journal":{"name":"Statistical Methods for Biomedical Research","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123000738","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"META ANALYSIS","authors":"Quan-Li Zhu, Wei Wu","doi":"10.1142/9789811228872_0026","DOIUrl":"https://doi.org/10.1142/9789811228872_0026","url":null,"abstract":"BACKGROUND In patients with symptomatic mitral regurgitation who are high-risk for surgery, transcatheter mitral valve repair has been shown to be safe and improve clinical outcomes. However, its impact on survival has shown con fl icting results in recent trials. METHODS PubMed, EMBASE, and Google Scholar databases were queried for all trials about MitraClip compared with optimal medical therapy RESULTS This meta-analysis of 9 trials, including 3099 patients, found that patients treated with MitraClip compared to optimal medical therapy had similar 30-day mortality (OR 0.64, 95% CI 0.32- 1.28) while at 12-months MitraClip was associated with signi fi cantly lower all-cause mortality (OR 0.50, 95% CI 0.38- 0.66). Absolute risk reduction was 13.9%, and number needed to treat to save 1 life at 12 months was 7.2. Percutaneous Mitral Valve BACKGROUND Percutaneous mitral valve (MV) repair with the MitraClip device is effective in patients with severe mitral regurgitation (MR). Patients with NYHA IV heart failure requiring inotropes or mechanical circulatory support (MCS) have been excluded from prior MitraClip studies. Co-existing renal failure is common in such pa- tients. The impact of MitraClip on renal function is not known. underwent percutaneous for or severe Renal function was assessed with serial the","PeriodicalId":292274,"journal":{"name":"Statistical Methods for Biomedical Research","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121452519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}