continuous data. P Values The probability that any observation is due to chance alone assuming that the null hypothesis is true Typically, an estimate that has a p value of 0.05 or less is considered to be statistically significant or unlikely to occur due to chance alone. REACH Resources | Informing more effective humanitarian action Instant access to millions of ebooks, audiobooks, magazines, podcasts and more. STATISTICAL ANALYSIS Non-parametric Tests Testing proportions (Pearsons) Chi-Squared (2) Test Fishers Exact Test Testing ordinal variables Mann Whiney U Test Kruskal-Wallis One-way ANOVA Testing Ordinal Paired Variables Sign Test Wilcoxon Rank Sum Test. Standard Error A fundamental goal of statistical analysis is to estimate a parameter of a population based on a sample The values of a specific variable from a sample are an estimate of the entire population of individuals who might have been eligible for the study. {k68vX o F?5z[gfA)aU[x[~z ^SK&Kamis~ [] 5okev{\-p5}a0Ly O/;]/nEQ)Rllp.k$n-w87[W n)f3}u=[`9cf UhsH-"A PDF Introduction & Basics sumber: Statistical Methods in Clinical Trials II Categorical Data - . The independent variable is often seen as influencing, directly or indirectly, the dependent variable. The SlideShare family just got bigger. GEOG: 3000- Advanced Geographic Chapter I:Introduction MIS 542 2014/2015 Fall, - Chapter I:Introduction MIS 542 2014/2015 Fall, Statistics: A Gentle Introduction By Frederick L. Coolidge, Ph.D. Sage Publications, - Statistics: A Gentle Introduction By Frederick L. Coolidge, Ph.D. Sage Publications Chapter 1 A Gentle Introduction Chapter 1*, UCLA STAT 13 Introduction to Statistical Methods. course overview course. Get powerful tools for managing your contents. ! " Quantitative vs. Qualitative: Methods and Process The scientific method, also known as a priori or pre-established design. 3. ziad taib biostatistics astrazeneca february 22, 2012. types of data. 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For qualitative data, you can use methods such as thematic analysis to interpret patterns and meanings in the data. Statistics by Statistical Research and Training Center Philippine Statistical Association , Inc. (Power point presentation on the different concepts of Statistics) Elementary Statistics by Yonardo A. Gabuyo et. For example, suppose we measure the weight of 100 patients in a study. It is the middle value from an ordered listing of the values If an odd number of values, it is the middle value If even number of values, it is the average of the two middle values. The dependent variable is always the property you are trying to explain; it is always the object of the research. For routine medical research, use only two-sided tests. - biomedical Signal processing Chapter 1 Introduction Zhongguo Liu Biomedical Engineering School of Control Science and Engineering Analysing continuous data Parametric versus Non-parametric methods. They, So, its very important to spend some time on. So, the relative, ? christopher s. coffey. By whitelisting SlideShare on your ad-blocker, you are supporting our community of content creators. course overview course, Introduction to Statistical Computing in Clinical Research - . Do not sell or share my personal information. +KRs8@f Pdk )px!` mC#07jd}c^ ! UCLA STAT 13. need to solve. PPT Introduction to Statistical Analysis - UC Berkeley School of Information Well convert it to an HTML5 slideshow that includes all the media types youve already added: audio, video, music, pictures, animations and transition effects. Example: A company advertises the net weight of its cereal is 24 ounces. Introduction to Statistical Computing in Clinical Research - . Sample size for proportions Stata input: Mean 1 = .2, mean 2 = .3, = .05, power (1-) =.8. Many studies are completed without proper estimate of appropriate study size. It appears that you have an ad-blocker running. Statistics presents a rigorous scientific method for gaining insight into data. Applications of Statistics in Research Bandit Thinkhamrop, Ph.D. (Statistics) Department of Biostatistics and Demography Faculty of Public Health Khon Kaen University. Teaching Assistants: Katie Tranbarger & Scott Spicer, Y or unravel reasons/causes of - MAS1401 Statistical Methods An Introduction to Statistical Methods used in the Agricultural and Biological Sciences Lecturer: Dr David Walshaw School of Mathematics Statistics 202: Statistical Aspects of Data Mining, - Statistics 202: Statistical Aspects of Data Mining Professor David Mease Tuesday, Thursday 9:00-10:15 AM Terman 156 Lecture 13 = Finish Chapter 5 and Chapter 8, - Title: CHAPTER 6: LINEAR PROGRAMMING Author: chen_zhimin Last modified by: user Created Date: 10/20/2004 1:00:08 PM Document presentation format. Statistical methods in medical research. By accepting, you agree to the updated privacy policy. Analysis of Variance Used to determine if two or more samples are from the same population- the null hypothesis. @ n ? " Use a Statistical description of such a system. Table of contents Methods for collecting data Examples of data collection methods Methods for analyzing data Test to compare two means (independent) Test to compare two means (paired) Test to compare two proportions. Regression Based on fitting a line to data Provides a regression coefficient, which is the slope of the line Y = ax + b Use to predict a dependent variables value based on the value of an independent variable. Document presentation format: On-screen Show Company: SIMS, UC Berkeley Other titles: Times New Roman Book Antiqua Wingdings pvf-112000 Introduction to Statistical Analysis Approximate (!) 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The P value used is an arbitrary value P value of 0.05 equals 1 in 20 chance P value of 0.01 equals 1 in 100 chance P value of 0.001 equals 1 in 1000 chance. - Chapter 8: Introduction to Find the lower and upper confidence limits. - Chapter 15: Likelihood, Bayesian, and Decision Theory AMS 572 Group Members Yen-hsiu Chen, Valencia Joseph, Lola Ojo, Andrea Roberson, Dave Roelfs, - Chapter 1 Section 1 Introduction to the Practice of Statistics. The SlideShare family just got bigger. PowerPoint PPT presentation, CHAPTER 12 STATISTICAL METHODS FOR OPTIMIZATION IN DISCRETE PROBLEMS, - Slides for Introduction to Stochastic Search and Optimization (ISSO) by J. C. Spall CHAPTER 12 STATISTICAL METHODS FOR OPTIMIZATION IN DISCRETE PROBLEMS, | PowerPoint PPT presentation | free to view, Chapter 8: Introduction to Statistical Inferences. Clipping is a handy way to collect important slides you want to go back to later. When designing a study, one needs to determine how large a study is needed. Often presented graphically as a 2 X 2 Table, Chi-Squared (2) Test Chi-Squared (2) Formula Not applicable in small samples If fewer than 5 observations per cell, use Fishers exact test, Correlation Assesses the linear relationship between two variables Example: height and weight Strength of the association is described by a correlation coefficient- r r = 0 - .2 low, probably meaningless r = .2 - .4 low, possible importance r = .4 - .6moderate correlation r = .6 - .8 high correlation r = .8 - 1 very high correlation Can be positive or negative Pearsons, Spearman correlation coefficient Tells nothing about causation, Correlation Source: Harris and Taylor. ? Remember there is variability among samples- they might seem to come from different populations but they may not. 7 Types of Statistical Analysis Techniques (And Process Steps) The SlideShare family just got bigger. ? - CHAPTER 3 Review of Statistics INTRODUCTION The creation of histograms and probability distributions from empirical data. Quantitative vs. Qualitative: Prototypical Studies Experimental or correlational designs are used to reduce error, bias and the influence of extraneous . 3 !1AQa"q2B#$Rb34rC%Scs5&DTdEt6UeuF'Vfv7GWgw 5 !1AQaq"2B#R3$brCScs4%&5DTdEU6teuFVfv'7GWgw ? PowerShow.com is brought to you byCrystalGraphics, the award-winning developer and market-leading publisher of rich-media enhancement products for presentations. Spies M.D., MPH Professor of Radiology Georgetown University School of Medicine Washington, DC. 4. > g The SlideShare family just got bigger. Tap here to review the details. diana trandabat 2013-2014. cky parsing. # $ % & ' ( ) * - Chapter 7 Sampling and Sampling Distributions Simple Random Sampling Point Estimation Introduction to Sampling Distributions Sampling Distribution of Sampling - Statistics 202: Statistical Aspects of Data Mining Professor David Mease Tuesday, Thursday 9:00-10:15 AM Terman 156 Lecture 12 = More of Chapter 5, Chapter 1: Introduction and Research Methods. Statistics in research - SlideShare Looks like youve clipped this slide to already. Clipping is a handy way to collect important slides you want to go back to later. Types of data Continuous data Theoretically infinite possible values (within physiologic limits) , including fractional values Height, age, weight Can be interval Interval between measures has meaning. Research & Expertise - Missing Data & Observational Data Modeling Methods - Record Linkage & Machine Learning Methods )pn1qn2 ? Analysis of Time Series Data 9.1 Basic concepts 9.2 General model formulations 9.3 Smoothing methods 9.4 OLS regression models 9.5 Stochastic time series CHAPTER 2 Research Methods in Industrial/Organizational Psychology. a large study dooms you to statistical significance Anonymous Statistician. Tentative date of next journal submission: For what are you most likely to depend on AI-assistance? Li leads a research group called the Junction of Statistics and Biology, where she and her students focus on developing statistical and computational methods to answer important questions in biological and biomedical sciences and to extract key information from genomics and health-related data. Introduction to Statistical Computing in Clinical Research - Today. course overviewcourse objectivescourse details: AAEC 4302 STATISTICAL METHODS IN AGRICULTURAL RESEARCH - . [A}?-wm}. Then you can share it with your target audience as well as PowerShow.coms millions of monthly visitors. 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