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Abstrak :
Bagan kendali berdasarkan median dan median absolute deviation merupakan modifikasi dari bagan kendali Shewhart, ketika ada sedikit penyimpangan asumsi kenormalan pada sampel. Modifikasi ini dilakukan dengan menggunakan penaksir-penaksir robust, median sampel dan median absolute deviation sampel, dalam pembuatan batas-batas kendali pada bagan kendali yang akan digunakan. Median sampel digunakan sebagai penaksir untuk mean proses, dan median absolute deviation sampel digunakan sebagai penaksir untuk standar deviasi proses. Bagan kendali berdasarkan median dan median absolute deviation ini terdiri dari dua bagan, yaitu bagan kendali untuk mengawasi mean proses dan bagan kendali untuk mengawasi standar deviasi proses. Sebagai contoh penerapan, studi ini menggunakan data sampel berdistribusi normal standar. Dari contoh penerapan tersebut diperoleh hasil bahwa bagan kendali berdasarkan median dan median absolute deviation dapat digunakan sebagai alternatif dari bagan kendali Shewhart, ketika sampel yang digunakan telah terkontaminasi outlier yang bukan merupakan kesalahan atau dengan kata lain terdapat penyimpangan asumsi kenormalan pada sampel. ......Control chart based on the median and median absolute deviation is a modification of the Shewhart control chart, when there are slight deviations assuming normality in the sample. This modification is done by using robust estimators, the sample median and median absolute deviation of samples, in the constructing of the control limits on control charts to be used. Sample median is used as an estimator for the process mean and sample median absolute deviation is used as an estimator for the standard deviation of the process. Control chart based on median and median absolute deviation consists of two charts, the control chart to monitor the process mean and the control chart to monitor standard deviation of the process. As an example of the application, this study uses the standard normal distribution of sample data. It showed that the control chart based on the median and median absolute deviation can be used as an alternative to the Shewhart control chart, when the sample used was contaminated with outliers that are not a mistake or in other words, there are deviations assuming normality in the sample.

Abstrak :
This Third Edition of Miles &​ Huberman's classic qualitative text has been updated and streamlined by Johnny Saldaña. This new edition presents the fundamentals of research design and data management, followed by five distinct methods of analysis: exploring, describing, ordering, explaining, and predicting. Comprehensive and authoritative, this classic title has been elegantly revised for a new generation of qualitative researchers

Abstrak :
This book discusses key statistical concepts that facilitate the inferential analysis of data collected from a group of individuals participating in a pharmaceutical clinical trial, the estimation of their clinical significance in the general population of individuals likely to be prescribed the drug if approved, and the related decision-making that occurs at both the public health level (by regulatory agencies when deciding whether or not to approve a new drug for marketing) and the individual patient level (by physicians and their patients when deciding whether or not the patient should be prescribed a drug that is on the market). These concepts include drug safety and efficacy, statistical significance, clinical significance, and benefit-risk balance.

Abstrak :
In this book, present a number of computational medicine topics at several scales: from molecules to cells, organs, and organisms. At the molecular level, tools for the analysis of genome variations as well as cloud computing resources for medical genetics are reviewed. Then, an analysis of gene expression data and the application to the characterization of microbial communities are highlighted. At the protein level, two types of analyses for mass spectrometry data are reviewed, labeled quantitative proteomics and lipidomics, followed by protein sequence analysis and a 3D structure and drug design chapter. Finally, three chapters on clinical applications focus on the integration of biomolecular and clinical data for cancer research, biomarker discovery, and network-based methods for computational diagnostics.

Abstrak :
Highly praised for its broad, practical coverage, the second edition of this popular text incorporated the major statistical models and issues relevant to epidemiological studies. Epidemiology: Study Design and Data Analysis, Third Edition continues to focus on the quantitative aspects of epidemiological research. Updated and expanded, this edition shows students how statistical principles and techniques can help solve epidemiological problems. New to the Third EditionNew chapter on risk scores and clinical decision rules New chapter on computer-intensive methods, including the bootstrap, permutation tests, and missing value imputationNew sections on binomial regression models, competing risk, information criteria, propensity scoring, and splinesMany more exercises and examples using both Stata and SASMore than 60 new figures After introducing study design and reviewing all the standard methods, this self-contained book takes students through analytical methods for both general and specific epidemiological study designs, including cohort, case-control, and intervention studies. In addition to classical methods, it now covers modern methods that exploit the enormous power of contemporary computers. The book also addresses the problem of determining the appropriate size for a study, discusses statistical modeling in epidemiology, covers methods for comparing and summarizing the evidence from several studies, and explains how to use statistical models in risk forecasting and assessing new biomarkers. The author illustrates the techniques with numerous real-world examples and interprets results in a practical way. He also includes an extensive list of references for further reading along with exercises to reinforce understanding. Web ResourceA wealth of supporting material can be downloaded from the book's CRC Press web page, including:Real-life data sets used in the textSAS and Stata programs used for examples in the textSAS and Stata programs for special techniques coveredSample size spreadsheet "-- "Preface This book is about the quantitative aspects of epidemiological research. I have written it with two audiences in mind: the researcher who wishes to understand how statistical principles and techniques may be used to solve epidemiological problems and the applied statistician who wishes to find out how to apply her or his subject in this field. A practical approach is used; although a complete set of formulae are included where hand calculation is viable, mathematical proofs are omitted and statistical nicety has largely been avoided. The techniques described are illustrated by example, and results of the applications of the techniques are interpreted in a practical way. Sometimes hypothetical datasets have been constructed to produce clear examples of epidemiological concepts and methodology. However, the majority of the data used in examples, and exercises, are taken from real epidemiological investigations, drawn from past publications or my own collaborative research. Several substantial datasets are either listed within the book or, more often, made available on book's web site for the reader to explore using her or his own computer software. SAS and Stata programs for most of the examples, where appropriate, are also provided on this web site. Finally, an extensive list of references is included for further reading. I have assumed that the reader has some basic knowledge of statistics, such as might be obtained from a medical degree course, or a first-year course in statistics as part of a science degree. Even so, this book is self-contained in that all the standard methods necessary to the rest of the book are reviewed in Chapter 2. From this base, the text goes through analytical methods for general and specific epidemiological study designs

Abstrak :
Rev. ed. of: Principles and practice of public health survrveillance / edited by Steven M. Teutsch, R. Elliott Churchill. 2nd ed. 2000