'Data step' diaporamas de présentation

A Continuous Quality Improvement Approach to Evaluation

A Continuous Quality Improvement Approach to Evaluation. Smaller World Communications Barb van Maris. Health Communications Unit Special Topics Workshop January 29, 2002. Learning Objectives. 1. Participants will understand the similarities between evaluation and quality improvement.

1.35k views • 93 slides

Getting data

889 views • 75 slides

Customer Relationship Management A Databased Approach

738 views • 44 slides

Programming tips and techniques for SAS SQL (no sqealing allowed)

Programming tips and techniques for SAS SQL (no sqealing allowed) . Dan Gottlieb, MS, Research Associate Center for the Evaluative Clinical Sciences Dartmouth Medical School Hanover, NH. 3/21/03 NH/VT SAS User Group. What is SQL?

627 views • 43 slides

676 views • 42 slides

Carbon Partnership Facility April 2014 Seller Participant Training

Carbon Partnership Facility April 2014 Seller Participant Training Overview of Program and CPA Level Monitoring, Preparation of Monitoring Reports and Verification. Training on CDM Operations Plans and Sub-ERPA Contracting. presented by Dr. Balasankari. 02 April 2014.

455 views • 38 slides

A Set of SAS Macros for Producing Statistical Reports

639 views • 37 slides

SAS Statistics with SAS package

SAS Statistics with SAS package. PGDASS class. SAS. SAS: Statistical Analysis System 9.2 Statistical Package: very costly Pronounced as SAAS. Change date to April 2014 Right click on date Adjust date and time Change date to April 2014. What is SAS?.

706 views • 32 slides

548 views • 32 slides

EPIB 698C Lecture 3

EPIB 698C Lecture 3. Instructor: Raul Cruz-Cano raulcruz@umd.edu 9/19/2012. 1. Creating and Redefining Variables. You can create and redefine variables with assignment statements as follows: Variable =expression. Home gardener's data.

427 views • 32 slides

cancer/edrn

http://cancer.gov/edrn. Early Detection Research Network BACKGROUND. Proposed By: Early Detection Implementation Group (Jan.- Aug., 1998). Approach Supported by: Colon Cancer Progress Review Group (2001) Lung Cancer Progress Review Group (2002)

502 views • 32 slides

Efficiencies with Large Datasets

Efficiencies with Large Datasets. Greater Atlanta SAS Users Group July 18, 2007 Peter Eberhardt. Agenda. Making large datasets smaller Sorting Issues Matching Issues General Programming Issues. What is large?. Short but Wide Tall but Thin Tall and Wide

496 views • 28 slides

SAS Programming: Working With Variables

SAS Programming: Working With Variables. Data Step Manipulations. New variables should be created during a Data step Existing variables should be manipulated during a data step. Missing Values in SAS. SAS uses a period (.) to represent missing values in a SAS data set

462 views • 26 slides

Module I: Elementary Data Step Techniques

Module I: Elementary Data Step Techniques. Madan Gopal Kundu. SAS Resources. SAS Procedures guide: http://www.caspur.it/risorse/softappl/doc/sas_docs/proc/index.htm The Little SAS Book by Lora D Delwiche and Susan J Slaughter http://www.ats.ucla.edu/stat/sas/notes2/.

337 views • 23 slides

An Introduction

An Introduction. Katherine Nicholas & Liqiong Fan. Outline. Basics Getting Data Into SAS Data Steps Procs Saving Datasets and Stats Homework. Basics: The Windows. 4 main windows : The editor window is for programming. The log allows you to monitor the execution of your program.

285 views • 20 slides

326 views • 19 slides

FORECASTING

CHAPTER. 3. FORECASTING. FORECASTING. Forecasts serve as a basis for planning--capacity, budgeting, sales, production, inventory, personnel Successful forecasting requires a skillful blending of both art and science Two uses of forecasts: Planning the system--Long Range

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WUSS 40-2018 Techniques to Handle Large Files and Reduce Execution times

WUSS 40-2018 Techniques to Handle Large Files and Reduce Execution times. Author: Kaiqing Fan Company: Mastech Digital Inc. Introduction.

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BMTRY 789 Lecture 4: Construction of Flat Files from vertical files, merging, subsetting

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Combining Data Sets with Character Variables of Different Lengths Martha Cox Cancer Outcomes Research Program Cancer Car

Combining Data Sets with Character Variables of Different Lengths Martha Cox Cancer Outcomes Research Program Cancer Care Nova Scotia. The Problem. 2 data sets to combine (SET) They contain some of the same character variables, but with different lengths. How ?.

308 views • 12 slides