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Course: BINF 5035, Fall 2009
School: University of Medicine...
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Sciences Health M.Sc. Programme Applied Biostatistics Week 10: Multiple regression More than one predictor In Week 9 we looked at regression with one predictor variable. Often we would like to use more than one predictor variable. In this lecture we look at how to do that for a continuous outcome variable, and describe a related method for use when the outcome is dichotomous. Table 1 shows the ages, heights and...

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University of Medicine and Dentistry of New Jersey - BINF - 5035
University of York Department of Health Sciences Applied BiostatisticsExercise: Multiple regressionQuestion 1 In a study of physical fitness and cardiovascular risk factors in children, blood pressure and recovery index (post exercise recovery rat
University of Medicine and Dentistry of New Jersey - BINF - 5035
University of York Department of Health Sciences Applied BiostatisticsSuggested answers to exercise: Multiple regressionQuestion 1 a) What is meant by `multiple regression analysis'? This is a statistical method used where we have a continuous out
University of Medicine and Dentistry of New Jersey - BINF - 5035
Health Sciences M.Sc. ProgrammeApplied BiostatisticsWeek 6: Proportions, risk ratios and odds ratiosRisk ratio or relative riskChi-squared tests are tests of significance, they do not provide estimates of the strength of relationships. There ar
University of Medicine and Dentistry of New Jersey - BINF - 5035
University of York Department of Health Sciences Applied BiostatisticsExercise: Odds ratio and relative riskQuestion 1 The following is the abstract of a paper (Illi et al., 2001): Objective: To investigate the association between early childhood
University of Medicine and Dentistry of New Jersey - BINF - 5035
University of York Department of Health Sciences Applied BiostatisticsSuggested answers to exercise: The analysis of cross-tabulationsQuestion 1 (a) What is meant by odds ratio 0.52 for runny nose and asthma and what does it tell us? The odds of a
University of Medicine and Dentistry of New Jersey - BINF - 5035
BINF5035Simple Descriptive Statistics Using SAS Procedures(commands=descriptives.sas)This handout covers the use of SAS procedures to get simple descriptive statistics and to carry out a few basic statistical tests, using the data set: the Flight
University of Medicine and Dentistry of New Jersey - BINF - 5035
2003-2008, The Trustees of Indiana UniversityComparing Group Means: 1Comparing Group Means: T-tests and One-way ANOVA Using Stata, SAS, and SPSSHun Myoung Park This document summarizes the methods of comparing group means and illustrates how to
University of Medicine and Dentistry of New Jersey - BINF - 5075
MICROSOFTINTERMEDIATE ACCESS MAINTAIN DATA INTEGRITYQUICK NOTESASSIGN APPROPRIATE DATA TYPE TO FIELDS.2 CREATE VALIDATION RULES IN TABLES.6 CREATE DATA CONTROL FIELDS IN TABLES ..9 CREATE VALIDATION RULES AND CONTROLS IN FORMS .11 USE EXPRESSION
University of Medicine and Dentistry of New Jersey - BINF - 5075
Clinical Trial Data Acquisition TechnologiesBINF5075Contents Clinical Trial Data Acquisition &amp; ManagementSoftware Clinical Trial Data Entry Technologies: Keyboard Barcoding Fax Direct data entry by participants Direct computer messaging:
University of Medicine and Dentistry of New Jersey - BINF - 5075
Database Management Systems 2BINF5075 Biomedical Informatics in Clinical Trials ManagementThe Relational Model The relational model is perhaps the simplest andmost intuitive data model ever developed. The entire model is based upon tables wit
University of Medicine and Dentistry of New Jersey - BINF - 5075
BINF5075 Database ExerciseDatabase operations will be covered in this module using Microsoft's Access software. This exercise assumes familiarity with MS-Excel so you should complete that one first if you haven't already done so. Why use a database
University of Medicine and Dentistry of New Jersey - BINF - 5075
Database Management Systems &amp; SQL -1BINF5075 Biomedical Informatics in Clinical Trials ManagementSQL Standard SQL-92 was developed by the INCITS Technical Committee H2 onDatabases. SQL-92 was designed to be a standard for relational database m
University of Medicine and Dentistry of New Jersey - BINF - 5075
Database Management Systems &amp; SQL-2BINF5075 Biomedical Informatics in Clinical Trials ManagementSQL ComponentsSQLDCL DBA Activities Create Users Delete Users Grant privileges Implement Access Security DDL RDBMS Structure Create/Delete DBs Create
University of Medicine and Dentistry of New Jersey - BINF - 5075
Data Cleaning Statistical ApproachBINF5075Statistical Approaches No explicit Data Quality methods Traditional statistical data collected from carefully designed experiments, often tied to analysis But, there are methods for finding anomalies
University of Medicine and Dentistry of New Jersey - BINF - 5075
Sample Size Planning and Randomization for Clinical TrialsBINF50751 Sample Size Planning1.1Introduction FundamentalPointsClinicaltrialsshouldhavesufficientstatistical powertodetectdifferencebetweengroups consideredtobeofclinicalinterest.The
University of Medicine and Dentistry of New Jersey - BINF - 5075
General Principles for Data Security in Clinical TrialsBINF5075Introduction In healthcare, data has broad public health significance; it is expected to be of the highest quality and integrity. This presentation provides guidance about compu
University of Medicine and Dentistry of New Jersey - BINF - 5075
Dates and TimesSAS Date, Time and DateTime FormatsDate StorageSAS stores Dates, Times and Date-Time values differently. Datetime: seconds between January 1, 1960 and an hour/minute/second within a specified date Time: seconds since midnight of
University of Medicine and Dentistry of New Jersey - BINF - 5075
478NADKARNIET AL.,EAV/CR Storage for Scientific DataApplication of Information TechnologyOrganization of Heterogeneous Scientific Data Using the EAV/CR RepresentationPRAKASH M. NADKARNI, MD, LUIS MARENCO, MD, ROLAND CHEN, MD, EMMANOUIL SKO
University of Medicine and Dentistry of New Jersey - BINF - 5075
PROC IMPORT OUT= WORK.Products DATATABLE= &quot;Products&quot; DBMS=ACCESS2000 REPLACE; DATABASE=&quot;C:\DataWarehousing05f\SASDataQuality.mdb&quot;; RUN; Proc Contents Data= Products; run; *; * Cleaning the supplier name. *; *; *; * Standardizing entry values. *; *; P
University of Medicine and Dentistry of New Jersey - BINF - 5075
Downloaded from emj.bmj.com on 12 December 2006Simple nomograms to calculate sample size in diagnostic studiesS Carley, S Dosman, S R Jones and M Harrison Emerg. Med. J. 2005;22;180-181 doi:10.1136/emj.2003.011148Updated information and services
University of Medicine and Dentistry of New Jersey - BINF - 5075
Downloaded from emj.bmj.com on 2 March 2007An introduction to power and sample size estimationS R Jones, S Carley and M Harrison Emerg. Med. J. 2003;20;453-458 doi:10.1136/emj.20.5.453Updated information and services can be found at: http:/emj.b
University of Medicine and Dentistry of New Jersey - BINF - 5075
TABLE OF CONTENTS Click on a link below: Catching data entry errors with SAS.2 Removing duplicate observations from a dataset using SAS..2 SAS missing values.3 Mean substitution for missing values in SAS.4 Recoding variable values into missing values
University of Medicine and Dentistry of New Jersey - BINF - 5075
INTRODUCTION TO SAS Module 1 Dr. Al Schwarzkopf EXERCISE 1: Running a program with an internal dataset Step 1. Start the SAS program. Step 2. Copy the program below into the Edit window. Step 3. Run the program using the Run icon. DATA FITDATA; INPUT
University of Medicine and Dentistry of New Jersey - BINF - 5075
Data One; Input ID \$ X Y1 ; Cards; A 1 1 B 2 2 B 3 3 D 4 4 E 0 0 ; Data Two; Input ID \$ X A2 ; Cards; A 5 5 A 6 6 B 7 7 C 8 8 E 11 11 E 11 11 ; run; Data Three; Merge One Two (drop= x); By ID; Proc Print Data= Three; Title3 'Merge One Two'; run; Data
University of Medicine and Dentistry of New Jersey - BINF - 5075
Paper CC12Data Transfer from Microsoft Access to SAS Made EasyZaizai Lu, AstraZeneca Pharmaceutical David Shen, ClinForce Inc.ABSTRACTTo transfer data from Microsoft Access database to SAS has never been easy. Unlike Oracle database, neither SAS
University of Medicine and Dentistry of New Jersey - BINF - 5075
EBM: TRIALS ON TRIALEBM: TRIALS ON TRIALDetermining the sample size in a clinical trialAdrienne Kirby, Val Gebski and Anthony C KeechSAMPLE SIZE MUST BE PLANNED carefully to ensure that the research time, patient effort and support costs invest
University of Medicine and Dentistry of New Jersey - BINF - 5075
Some Practical Guidelines for Effective Sample-Size DeterminationRussell V. Lenth Department of Statistics University of Iowa March 1, 2001Abstract Sample-size determination is often an important step in planning a statistical study-and it is usua
University of Medicine and Dentistry of New Jersey - BINF - 5075
Page 1 of 4Sample Relational Data Models for Clinical ResearchLab exercise: Use Microsoft Access to implement a &quot;one to many&quot; model Access 2002 1. 2. 3. 4. 5. 6. Access20007. 8. 9. 10. 11. 12. 13. 14. 15. 16.Step 1: Design Tables Open Access 1
Kenyon - MATH - 106
University of Medicine and Dentistry of New Jersey - BINF - 5312
Chapter 12 Graphical User Interface Concepts: Part 1Outline 12.1 Introduction 12.2 Windows Forms 12.3 EventHandling Model 12.3.1 Basic Event Handling 12.4 Control Properties and Layout 12.5 Labels, TextBoxes and Buttons 12.6 GroupBoxe
University of Medicine and Dentistry of New Jersey - BINF - 5312
Chapter 13 Graphical User Interfaces Part 2Outline 13.1 13.2 13.3 13.4 Introduction Menus LinkLabels ListBoxes and CheckedListBoxes 13.4.1 ListBoxes 13.4.2 CheckedListBoxes 13.5 ComboBoxes 13.6 TreeViews 13.7 ListViews 13.8 Tab