SAS應用之資料處理 (1版)

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【簡介】 本書內容主要係針對SAS應用軟體的資料處理部份(DATA STEP)進行介紹，其共分為15章，由SAS的起動運作與作業流程開始說起，經由語言基本結構、資料集命名、資料輸入輸出、變數修飾、資料的組合與連結、變數的指標控制、程式的條件與流程控制、陣列宣告等，最後再談判到遺失值的表示與處理、常用函數、以及巨集變數與指命等，無一不深入淺出地加以說明與舉例。 　　書中在多處以錯誤的範例來提醒讀者可能發生的問題與其之訊息，使讀者在撰寫程式時，不致發生相同的問題。因此，本書的特點有：(1)全書以教學性、基礎性和實用性觀點說明SAS資料處理的內容；(2)以許多範例輔助說明，有助於讀者完全瞭解書中的內容；(3)書內完整的範例皆附於光碟內，可方便讀者綀習與修改；(4)適合於以SAS應用軟體進行處理或執行分析者參考之用。 【目錄】

A PRACTICAL APPROACH TO QUANTITATIVE VALIDATION OF PATIENT-REPORTED OUTCOMES: A SIMULATION-BASED GUIDE USING SAS

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DESCRIPTION A Simulation-Based Guide Using SAS In A Practical Approach to Quantitative Validation of Patient-Reported Outcomes, two distinguished researchers, with 50 years of collective research experience and hundreds of publications on patient-centered research, deliver a detailed and comprehensive exposition on the critical steps required for quantitative validation of patient-reported outcomes (PROs). The book provides an incisive and instructional explanation and discussion on major aspects of psychometric validation methodology on PROs, especially relevant for medical applications sponsored by the pharmaceutical industry, where SAS is the primary software, and evaluated in regulatory and other healthcare environments. Central topics include test-retest reliability, exploratory and confirmatory factor analyses, construct and criterion validity, responsiveness and sensitivity, interpretation of PRO scores and findings, and meaningful within-patient change and clinical important difference. The authors provide step-by-step guidance while walking readers through how to structure data prior to a PRO analysis and demonstrate how to implement analyses with simulated examples grounded in real-life scenarios. Readers will also find: A thorough introduction to patient-reported outcomes, including their definition, development, and psychometric validation Comprehensive explorations of the validation workflow, including discussions of clinical trials as a data source for validation and the validation workflow for single and multi-item scales In-depth discussions of key concepts related to a validation of a measurement scale Special attention is given to the US Food and Drug Administration (FDA) guidance on development and validation of the PROs, which lay the foundation and inspiration for the analytic methods executed A Practical Approach to Quantitative Validation of Patient-Reported Outcomes is a required reference that will benefit psychometricians, statisticians, biostatisticians, epidemiologists, health service and public health researchers, outcome research scientists, regulators, and payers. STATISTICS IN PRACTICE A series of practical books outlining the use of statistical techniques in a wide range of applications areas: HUMAN AND BIOLOGICAL SCIENCES EARTH AND ENVIRONMENTAL SCIENCES INDUSTRY, COMMERCE AND FINANCE