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Adjusted survival curves with inverse probability weights
Adjusted survival curves with inverse probability weights

Monday, January 9: Chapter 14: Probability
Monday, January 9: Chapter 14: Probability

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Lecture 12 - Mathematics

... These data are widely referred to in the probability and statistics literature. Feller [7, p. 160] cites their book, and also refers to Harald Cramér [5, p. 436], for some statistical analysis. Cramér in turn takes as his source a textbook by Aitken. Table 12.2 has my reproduction of Rutherford et. ...
Chapter 6: Confidence Intervals
Chapter 6: Confidence Intervals

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... – 1 (one less than the sample size). The standard deviation is the square root of the result. ...
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margin of error

... The unknown population parameter is a fixed value, not a random variable. It either lies inside the given interval or it does not. The method we employ implies a level of confidence – a percentage of time, based on our point estimate, x-bar (which is a random variable!), that the unknown population ...
Appendix 3.D: Description of Agreement Statistics
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... Kappa and quadratic weighted kappa (QWK) measure the agreement between two raters over the agreement expected by chance. Generally, kappa and QWK range between 0 (no agreement) to 1 (perfect agreement), although smaller and larger values are technically possible. The difference between kappa and QWK ...
Counting by Coin Tossings - Algorithms Project
Counting by Coin Tossings - Algorithms Project

... a priori a sampling factor p, say p = 1024 = 2−10 . This is Straight Sampling: Elements are hashed and only elements whose hashed value starts with a sequence of 10 zeros are filtered in and kept as a distinct set in a temporary file; at the end, resample the p-sample and obtain the needed collectio ...
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Combinatorics

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Chapter 8 – Confidence Intervals about a Single Parameter

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Priorities in Common Core Standards for Mathematical Content

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Confidence Interval for

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BAYESIAN STATISTICS 7, pp. 465–476

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portable document (.pdf) format

... ABSTRACT Consider a test-retest study in which subjects are selected to participate in an intervention because one baseline measurement of a variable is within a particular range. For example screening specimens from extreme of a population. This requires taking measurements on selected subjects, us ...
document
document

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History of statistics

The History of statistics can be said to start around 1749 although, over time, there have been changes to the interpretation of the word statistics. In early times, the meaning was restricted to information about states. This was later extended to include all collections of information of all types, and later still it was extended to include the analysis and interpretation of such data. In modern terms, ""statistics"" means both sets of collected information, as in national accounts and temperature records, and analytical work which requires statistical inference.Statistical activities are often associated with models expressed using probabilities, and require probability theory for them to be put on a firm theoretical basis: see History of probability.A number of statistical concepts have had an important impact on a wide range of sciences. These include the design of experiments and approaches to statistical inference such as Bayesian inference, each of which can be considered to have their own sequence in the development of the ideas underlying modern statistics.
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