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Pharmacogenomic and Statistical Analysis
2023Genetic variants can alter response to drugs and other therapeutic interventions. The study of this phenomenon, called pharmacogenomics, is similar in many ways to other types of genetic studies but has distinct methodological and statistical considerations.
Haimeng, Bai +2 more
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Statistical Analysis in Andrology
Archives of Andrology, 1991The authors began a statistical study on a file group of 9384 records of semen analyses and anamnestic data (P-1). From this file, they selected a group of 5191 patients having undergone analysis at least one time (P-2) and a file of 850 patients having undergone analysis at least three times (P-3).
Culasso F. +3 more
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Statistical Analysis Simplified
Technometrics, 2000Statistical Analysis Simplijed is the introductory volume in the H. James Harrington Performance Improvement Series published by McGraw-Hill. The three authors have almost a century of business and quality experience between them. They have produced a highly readable explanation of statistical thinking and the seven traditional quality-control tools ...
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Technometrics, 2000
Preface Notation 1. Fundamental Concepts 2. Examples of Probability Functions 3. The Monte Carlo Method 4. Statistical Tests 5. General Concepts of Parameter Estimation 6. The Method of Maximum Likelihood 7. The Method of Least Squares 8. The Method of Moments 9. Statistical Errors, Confidence Intervals and Limits 10.
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Preface Notation 1. Fundamental Concepts 2. Examples of Probability Functions 3. The Monte Carlo Method 4. Statistical Tests 5. General Concepts of Parameter Estimation 6. The Method of Maximum Likelihood 7. The Method of Least Squares 8. The Method of Moments 9. Statistical Errors, Confidence Intervals and Limits 10.
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A statistical analysis of luck
Synthese, 2018A modal analysis of luck, due to Duncan Pritchard, has become quite popular in recent years. There are many reasons to like Pritchard’s analysis, but at least two compelling problems have been identified. So I propose an alternative analysis of luck based on the laws of statistical mechanics.
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2001
In Chapter 4, we have dealt with the initial aspects of statistical analysis of chaos, such as preliminary data analysis and the determination of the embedding dimension. In this chapter, we shall study the statistical analysis of finer structures, such as the correlation dimension, measures of initialvalue sensitivity and map reconstruction.
Kung-Sik Chan, Howell Tong
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In Chapter 4, we have dealt with the initial aspects of statistical analysis of chaos, such as preliminary data analysis and the determination of the embedding dimension. In this chapter, we shall study the statistical analysis of finer structures, such as the correlation dimension, measures of initialvalue sensitivity and map reconstruction.
Kung-Sik Chan, Howell Tong
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IEEE Design & Test of Computers, 1985
Statistical Fault Analysis, or Stafan, is proposed as an alternative to fault simulation of digital circuits. This method defines Controllabilities and observabilities of circuit nodes as probabilities estimated from signal statistics of fault-free simulation. Special Procedures deal with these quantities at fanout and feedback nodes.
Sunil K. Jain, Vishwani D. Agrawal
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Statistical Fault Analysis, or Stafan, is proposed as an alternative to fault simulation of digital circuits. This method defines Controllabilities and observabilities of circuit nodes as probabilities estimated from signal statistics of fault-free simulation. Special Procedures deal with these quantities at fanout and feedback nodes.
Sunil K. Jain, Vishwani D. Agrawal
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Multivariate Statistical Analysis
Psychophysiology, 1973ABSTRACTGeneral multivariate statistical theory and three statistical models (multi‐variate analysis of variance, canonical correlation analysis, and factor analysis) are described. Numerical examples, mathematical notes, an annotated bibliography, and references to computer programs are presented.
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Current Protocols Essential Laboratory Techniques, 2008
AbstractIn this appendix, we provide an outline of methods used in analyzing biological data. We give a summary of types of data encountered and the appropriate methods to apply for the questions of interest. Statistical techniques described include the t test, the Wilcoxon rank sum test, the Mann‐Whitney‐Wilcoxon test, ANOVA, regression, and the chi ...
John Kloke, Johanna Hardin
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AbstractIn this appendix, we provide an outline of methods used in analyzing biological data. We give a summary of types of data encountered and the appropriate methods to apply for the questions of interest. Statistical techniques described include the t test, the Wilcoxon rank sum test, the Mann‐Whitney‐Wilcoxon test, ANOVA, regression, and the chi ...
John Kloke, Johanna Hardin
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