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"The SAS® Software Companion for Sampling: Design and Analysis, designed to be read alongside Sampling: Design and Analysis, Third Edition by Sharon L. Lohr (SDA; 2022, CRC Press), shows how to use the survey selection and analysis procedures of SAS® software to perform calculations for the examples in SDA. No prior experience with SAS software is needed. Chapter 1 tells you how to access the software, introduces basic features, and helps you get started with analyzing data. Each subsequent chapter provides step-by-step guidance for working through the data examples in the corresponding chapter of SDA, with code, output, and interpretation. Tips and warnings help you develop good programming practices and avoid common survey data analysis errors. Features of the SAS software procedures are introduced as they are needed so you can see how each type of sample is selected and analyzed. Each chapter builds on the knowledge developed earlier for simpler designs; after finishing the book, you will know how to use SAS software to select and analyze almost any type of probability sample. All code is available on the book website and is easily adapted for your own survey data analyses. The website also contains all data sets from the examples and exercises in SDA to help you develop your skills through analyzing survey data from social and public opinion research, public health, crime, education, business, agriculture, and ecology. Sharon L. Lohr, the author of Measuring Crime: Behind the Statistics, has published widely about survey sampling and statistical methods for education, public policy, law, and crime. She is a Fellow of the American Statistical Association and an elected member of the International Statistical Institute, and has received the Gertrude M. Cox, Morris Hansen, and Deming Awards. Formerly Deans Distinguished Professor of Statistics at Arizona State University and a Vice President at Westat, she is now a statistical consultant and writer"--

Sampling (Statistics)

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"This document includes a pragmatic framework for designing representative studies and developing uniform sampling guidelines to support estimates of morbidity that are explicitly linked to exposure to land-based contaminants from used lead acid battery recycling (ULAB) activities. A primary goal is to support environmental burden of disease evaluations, which attempt to attribute health outcomes to specific sources of pollution. The guidelines provide recommendations on the most appropriate and cost-effective sampling and analysis methods to ensure the collection of representative population-level data, sample size recommendations for each contaminant and environmental media, biological sampling data, household survey data, and health outcome data. These guidelines focus on small-scale ULABs that are known to generate significant amounts of lead waste through the smelting process, as well as other metals including arsenic and cadmium. Data obtained following these recommendations can be used to support consistent, comparable, and standardized community risk and health impact assessments at contaminated sites in low- and middle-income countries. These data can also be used to support economic analyses and risk management decision-making for evaluating site cleanup and risk mitigation options in the most cost-effective and efficient manner. Following these recommendations will facilitate comparisons and meta-analyses across studies by standardizing data collection efforts at the community level." -- Provided by publisher.

Environmental sampling --- Lead-acid batteries. --- Methodology.

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Groundwater --- Groundwater --- Hydrology --- Groundwater --- Pollution --- Sampling --- Quality

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Groundwater flow --- Aquifers --- Groundwater --- Mathematical models. --- Sampling

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Groundwater flow --- Aquifers --- Groundwater --- Mathematical models. --- Sampling