Pub Date : 2011-05-19DOI: 10.1142/9789811228872_0032
M. Valeanu
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.
{"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}
Pub Date : 2006-08-15DOI: 10.1002/0471667196.ESS1707.PUB2
Robert Hultquist
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)?
{"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}
This chapter contains sections titled: Introduction, ICA and PCA, Eigenvectors and Eigenvalues, PCA Applied to Speech Signal Mixtures, Factor Analysis, Summary
{"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}
Pub Date : 1900-01-01DOI: 10.1142/9789811228872_0006
{"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}
Pub Date : 1900-01-01DOI: 10.1007/978-94-009-5794-7_6
G. P. Beaumont
{"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}
Pub Date : 1900-01-01DOI: 10.1142/9789811228872_0015
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.
{"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}
Pub Date : 1900-01-01DOI: 10.1142/9789811228872_0008
{"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}
Pub Date : 1900-01-01DOI: 10.1142/9789811228872_0026
Quan-Li Zhu, Wei Wu
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
背景:对于有症状的二尖瓣返流的高危手术患者，经导管二尖瓣修复已被证明是安全的，并能改善临床结果。然而，在最近的试验中，它对生存的影响显示出相互矛盾的结果。方法查询PubMed、EMBASE和谷歌Scholar数据库，查询有关MitraClip与最佳药物治疗的所有试验。结果对9项试验，包括3099例患者进行的荟萃分析发现，与最佳药物治疗相比，接受MitraClip治疗的患者30天死亡率相似(OR 0.64, 95% CI 0.32- 1.28)，而在12个月时，MitraClip与显著降低的全因死亡率相关(OR 0.50, 95% CI 0.38- 0.66)。绝对风险降低13.9%，12个月时挽救1条生命所需治疗的人数为7.2人。背景:MitraClip装置经皮二尖瓣(MV)修复对严重二尖瓣返流(MR)患者有效。需要肌力药物或机械循环支持(MCS)的NYHA IV型心力衰竭患者已被排除在先前的MitraClip研究之外。同时存在肾功能衰竭在这类患者中很常见。MitraClip对肾功能的影响尚不清楚。对经皮或严重的肾功能进行了一系列的评估
{"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}
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