Applications of Statistics in Research Bandit Thinkhamrop, Ph.D. (Statistics) Department of Biostatistics and Demography Faculty of Public Health Khon Kaen University. Practical Statistics for Medical Research, Correlation Correlation Coefficient .7 Correlation Coefficient -.5 Source: Altman. If so, share your PPT presentation slides online with PowerShow.com. H H JFIF H H Adobe_CM Adobe d Types of Data Discrete Data-limited number of choices Binary: two choices (yes/no) Dead or alive Disease-free or not Categorical: more than two choices, not ordered Race Age group Ordinal: more than two choices, ordered Stages of a cancer Likert scale for response E.G. {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 uji hipotesis. Sample Median Used to indicate the average in a skewed population Often reported with the mean If the mean and the median are the same, sample is normally distributed. continuous blood pressure time to event. 3rd edition. P values, Statistical Methods in Clinical Research James B. making, Statistical Methods - Prognostic factors of survival in a randomized phase iii trial (mpact) of weekly nab -paclitaxel. Statistical methods are essential for scientific research. PowerShow.com is brought to you byCrystalGraphics, the award-winning developer and market-leading publisher of rich-media enhancement products for presentations. NOTE that lt(?u)2gt 0 if only if ui u for, It can easily be shown that, lt(?u)2gt 0, or, We could also define the nth moment of P(u) about, This is rarely used beyond n 2. Learn faster and smarter from top experts, Download to take your learnings offline and on the go. 8p" O . R $ i4N5y } R $ `N%L B RX R $ M>3O'2 X R $ 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. Interquartile range Is the range of data from the 25th percentile to the 75th percentile Common component of a box and whiskers plot It is the box, and the line across the box is the median or middle value Rarely, mean will also be displayed. a large study dooms you to statistical significance Anonymous Statistician. Standard error measures the precision of the estimate of a population parameter provided by the sample mean or proportion. ! " Activate your 30 day free trialto continue reading. p. The, the lamp post is at x 0. N. lt(?m)2gt lt(m - ltmgt)2gt in the net displacement? Do not sell or share my personal information. This may lead to a negative study outcome in error. Test of Strength & Direction of Linear Relationship of 2 Quantitative Variables. Enjoy access to millions of ebooks, audiobooks, magazines, and more from Scribd. ? 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. Looks like youve clipped this slide to already. Princy Francis M Spies M.D., MPH Professor of Radiology Georgetown University School of Medicine Washington, DC, Overview Data types Summarizing data using descriptive statistics Standard error Confidence Intervals, Overview P values One vs two tailed tests Alpha and Beta errors Sample size considerations and power analysis Statistics for comparing 2 or more groups with continuous data Non-parametric tests, Overview Regression and Correlation Risk Ratios and Odds Ratios Survival Analysis Cox Regression, Further Study Medical Statistics Made Easy M. Harris and G. Taylor Informa Healthcare UK Distributed in US by: Taylor and Francis 6000 Broken Sound Parkway, NW Suite 300 Boca Raton, FL 33487 1-800-272-7737. RESEARCH (PART 1 Clarification Standard Deviation measures the variability or spread of the data in an individual sample. When the sample size is small, the estimation and testing procedures of Chapter 8 are not appropriate. - CHAPTER 2 Research Methods in Industrial/Organizational Psychology Introduction to Industrial/Organizational Psychology by Ronald Riggio Social Scientific Research Chapter%207%20Sampling%20and%20Sampling%20Distributions. 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. cocke-kasami-younger parsing algorithm: Statistical methods in NLP - . Table of contents Methods for collecting data Examples of data collection methods Methods for analyzing data ADVANCED STATISTICAL METHODS IN AGRICULTURAL RESEARCH - . Now customize the name of a clipboard to store your clips. Sample Size Calculation Also called power analysis. Chapter 1 Introduction. Do not sell or share my personal information, 1. Test to compare several means. STATISTICAL ANALYSIS Remember there is variability among samples- they might seem to come from different populations but they may not. Our product offerings include millions of PowerPoint templates, diagrams, animated 3D characters and more. Would need to do pair-wise tests. Sometimes, u is called the 1st moment of P(u). The Statistics and Methods Core supports CCPR research and training by providing expertise in the choice, development, and implementation of statistical methodology. Instant access to millions of ebooks, audiobooks, magazines, podcasts and more. Brief description about Descriptive statistics for dummies with solved examples. 3rd edition. Weve updated our privacy policy so that we are compliant with changing global privacy regulations and to provide you with insight into the limited ways in which we use your data. (3).pdf, Advanced Python Skills for Data Scientists, No public clipboards found for this slide, Enjoy access to millions of presentations, documents, ebooks, audiobooks, magazines, and more. Measures of Central Tendency - Biostatstics, GCSE Geography: How And Why To Use Spearmans Rank, ppt on data collection , processing , analysis of data & report writing, CABT Math 8 measures of central tendency and dispersion, MEASURES OF CENTRAL TENDENCY AND MEASURES OF DISPERSION, Measures of central tendency and dispersion, STATISTICAL PROCEDURES (Discriptive Statistics).pptx, SHAYA'A OTHMAN MANAGEMENT & RESEARCH METHODOLOGY, Measures of central tendency ict integration, Continuing Our Look At Primary And Secondary Data, No public clipboards found for this slide, Enjoy access to millions of presentations, documents, ebooks, audiobooks, magazines, and more. The SlideShare family just got bigger. gordon c. nagayama hall 355 straub phone: 346-4969 e-mail: gnhall@darkwing.uoregon.edu. 2.  4 R $ KT XAYM( "n R $ SJqO& U "n R $ 2N[q - An Introduction to Statistical Problem Solving in Geography - 2nd Edition . Now customize the name of a clipboard to store your clips. 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. But m 2n1 N, so n1 ()(N, n2 N - n1 ()(N - m). Sample Mode Infrequently reported as a value in studies. Activate your 30 day free trialto continue reading. Medical Statistics Made Easy, Correlation Perfect Correlation Source: Altman. Overview. 3 !1AQa"q2B#$Rb34rC%Scs5&DTdEt6UeuF'Vfv7GWgw 5 !1AQaq"2B#R3$brCScs4%&5DTdEU6teuFVfv'7GWgw ? Steps of Statistical Applications (Practical guides for beginners) Begin at the conclusion Identify the primary research question Identify . (n1 0?N) N!/(n1! Is the most common value More frequently used to describe the distribution of data Uni-modal, bi-modal, etc. InternImage: Exploring Large-Scale Vision Foundation Models with Deformable C caissonsdisease-141212190240-conversion-gate01.pdf, GED260 Colorado Christian University Definition of Drug Addiction Paper.pdf, WTSFest 2023 - Data Storytelling, Lazarina Stoy. We had, m n1 n2 2n1 N. So, ltmgt 2ltn1gt, ?m m - ltmgt (2n1 N) (2ltn1gt - N) 2(n1, (?m)2 4(?n1)2. Introduction to Statistical Computing in Clinical Research - Today. course overviewcourse objectivescourse details: AAEC 4302 STATISTICAL METHODS IN AGRICULTURAL RESEARCH - . Test about a slope. Comparative descriptive survey research design was employed to answer the research questions raised. Temporarily, lets treat p q as arbitrary, NOTE that, if p is a continuous variable, then we, Now, use this in (1) (interchanging the sum the, ltn1gt ? 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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. Looks like youve clipped this slide to already. Statistical methods are mathematical formulas, models, and techniques that are used in statistical analysis of raw research data. sumber: Statistical Methods in Clinical Trials II Categorical Data - . Introduction to Statistical Computing in Clinical Research - . If it appears they are not from same population, cant tell which sample is different. 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. biostatistics 212 lecture 1. today. And theyre ready for you to use in your PowerPoint presentations the moment you need them. Mid-value in interquartile range. Example: A company advertises the net weight of its cereal is 24 ounces. ? As N increases, the mean value increases ? Data presentation can also help you determine the best way to present the data based on its arrangement. It's FREE! Schedule Introduction Data Analysis--Introduction Data Collection Instruments Issues in Research Design Sample Size Sources of Error When designing a study, one needs to determine how large a study is needed. Most research studies result in a extensive. Test to Compare Two Population Variances. Free access to premium services like Tuneln, Mubi and more. It has millions of presentations already uploaded and available with 1,000s more being uploaded by its users every day. You can read the details below. dev. descriptive statistics inferential statistics. or the 2nd Moment of P(u) about the mean. al. The function of statistics in research is to purpose as a tool in conniving research, analyzing its data and portrayal of conclusions there from. Instant access to millions of ebooks, audiobooks, magazines, podcasts and more. Analysis of Variance Used to determine if two or more samples are from the same population- the null hypothesis. The aim of this study was to compare PPT and traditional lecture method in material understandability, effectiveness and attitude among university students. P Values and Confidence Intervals P values provide less information than confidence intervals. Tap here to review the details. They are all artistically enhanced with visually stunning color, shadow and lighting effects. Now customize the name of a clipboard to store your clips. )pn1qn2 ? Weve updated our privacy policy so that we are compliant with changing global privacy regulations and to provide you with insight into the limited ways in which we use your data. More than one method is . Statistical methods in medical research. Weve updated our privacy policy so that we are compliant with changing global privacy regulations and to provide you with insight into the limited ways in which we use your data. The mean value of the deviation from the mean, Now, lets look at (?u)2 (u - ltugt)2 (square of, Its mean value is lt(?u)2gt lt(u - ltugt)2gt, ltu2gt - 2ltugtltugt (ltugt)2 ltu2gt - (ltugt)2, This is called the Mean Square Deviation (from. Clinical Research Methods - . One-sided vs. Two-sided Most tests should be framed as a two-sided test. data sharing / standardization. large data, Statistical Methods - . Rex Book Store ; Assessment of Learning I and II by Dr. Rosita De Guzman-Santos, LORIMAR Publishing, 2007 Ed. supported by the institute for clinical and translational, Practical Applications of Statistical Methods in the Clinical Laboratory - . Our new CrystalGraphics Chart and Diagram Slides for PowerPoint is a collection of over 1000 impressively designed data-driven chart and editable diagram s guaranteed to impress any audience. If a confidence interval range is very wide, then plausible value might range from very low to very high. Statistical methods assist in classification in four ways: in devising probability models for data and classes so that probable classifications for a given set of data can be identified; in developing tests of validity of particular classes produced by a classification scheme; in comparing different classification schemes for effectiveness; and By whitelisting SlideShare on your ad-blocker, you are supporting our community of content creators. 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Sample Size for Continuous Data Stata input: Mean 1 = 20, mean 2 = 30, = .05, power (1-) =.8, std. - 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. You might get some help from www.HelpWriting.net Success and best regards! Activate your 30 day free trialto continue reading. With respect to use of research methodology, quantitative approach (78%) is popular in user studies followed by mixed methods (10%), qualitative (8%), and multimethod (4%). Hidden error because cant be detected without a proper power analysis. Most commonly used in assessing the estimate of the difference between two groups. We've updated our privacy policy. Instant access to millions of ebooks, audiobooks, magazines, podcasts and more. Sample Size Calculation Depends on: Level of Type I error: 0.05 typical Level of Type II error: 0.20 typical One sided vs two sided: nearly always two Inherent variability of population Usually estimated from preliminary data The difference that would be meaningful between the two assessment arms. So, the of distinct ways in which N objects, This is the same as the of distinct ways of, The probability WN(n1) of taking N steps, with, This probability distribution is called the, This is because the Binomial Expansion has the, We really want the probability PN(m) that x ml, PN(m) WN(n1). Data presentation is an extension of data cleaning, as it involves arranging the data for easy analysis. This can be easily generalized to 2 dimensions. This analysis doesnt take into. JMCON. Not applicable in categorical data Definition: Sum of all the values in a sample, divided by the number of values. The type of data defines: The summary measures used Mean, Standard deviation for continuous data Proportions for discrete data Statistics used for analysis: Examples: T-test for normally distributed continuous Wilcoxon Rank Sum for non-normally distributed continuous, Descriptive Statistics Characterize data set Graphical presentation Histograms Frequency distribution Box and whiskers plot Numeric description Mean, median, SD, interquartile range, HistogramContinuous Data No segmentation of data into groups, Frequency Distribution Segmentation of data into groups Discrete or continuous data, Box and Whisker Plots Popular in Epidemiologic Studies Useful for presenting comparative data graphically, Numeric Descriptive Statistics Measures of central tendency of data Mean Median Mode Measures of variability of data Standard Deviation Interquartile range. 3. Spies M.D., MPH Professor of Radiology Georgetown University School of Medicine Washington, DC. No problem. Typically 0.05 is used, Errors Type II error Claiming there is no difference between two samples when in fact there is. collection, statistical analysis, and making appropriate inferences from the data. We've updated our privacy policy. ziad taib biostatistics astrazeneca march 7, 2012. types. It appears that you have an ad-blocker running. Statistical Methods. august 12, 2009. PowerShow.com is a leading presentation sharing website. 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. Confidence Intervals May be used to assess a single point estimate such as mean or proportion. For routine medical research, use only two-sided tests. Even if its Macroscopic parameters, Section 1.1 Elementary Statistical Concepts, Some math preliminaries ( methods) for the next, To treat statistical physics problems, we must, Keep in mind Whenever we want to describe a. - Chapter 10: Inference from Small Samples Introduction When the sample size is small, the estimation and testing procedures of Chapter 8 are not appropriate. Activate your 30 day free trialto unlock unlimited reading. Many studies are completed without proper estimate of appropriate study size. Sz_]WMi4}S:4c_KC%. In inferential statistics, we are generally using a sample. 10. @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z [ \ ] ^ _ ` a b c d e f h i j k l m n o p q r s t u v w x y z { | } ~  Fn KT XAYM( JFIF f f Exif MM * b j( 1 r2 i f f Adobe Photoshop CS Macintosh 2008:11:28 11:45:55 &( . B^uuhm?}{].~}v_J;xogJY]@.)oqC? Example: A relative risk of 4 might have a confidence interval of 1.05 to 9, suggesting that although the estimate is for a 400% increased risk, an increased risk of 5% to 900% is plausible. By whitelisting SlideShare on your ad-blocker, you are supporting our community of content creators. You never know which directions study results will go. x d P xuKAs b*Q0*9" (#D4FhgcZ;bg*sF"q][m\D Dt+a]|a#lsn8,3_:?i5jrWydw #T iv^\s'fRf9/j&&vFs7nKS"_EGiIC-JK|T7{E?cxgM/(+Q1gKzehH}O'4iUA3Mc+2c~zK|{} Dvk9/ @ H | xcdd``> @c112BYL%bpu. - STAT 13, UCLA, Ivo Dinov. Do not sell or share my personal information, 1. Sample size calculation yields the number of study subjects needed, given a certain desired power to detect a difference and a certain level of P value that will be considered significant. Two main statistical methods are used in data analysis: descriptive statistics, which summarizes data using indexes such as mean and median and another is inferential statistics, which draw conclusions from data using statistical tests such as student's t-test. Cathy Walker. 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. Explanatory & Response Variable in Statistics A quick guide for early career researchers! biostatistics 212. today. - Introduction to Statistics 1.1 An Overview of Statistics 1.2 Data Classification 1.3 Experimental Design * Larson/Farber 4th ed. gordon c. nagayama hall 355 straub phone: 346-4969 e-mail: gnhall@darkwing.uoregon.edu. 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. Whatever your area of interest, here youll be able to find and view presentations youll love and possibly download. Statistical Tests Parametric tests Continuous data normally distributed Non-parametric tests Continuous data not normally distributed Categorical or Ordinal data, Comparison of 2 Sample Means Students T test Assumes normally distributed continuous data. Introduction We are focusing on "quantitative analysis" The general idea is to summarize and analyze data so that it is useful for decision-making We do this by calculating "measures of central tendency" and by looking for relationships (We will NOT cover formal tests of hypotheses) Primary vs. secondary data sources Data on uses Blackwell Scientific Publications, Oxford. Enjoy access to millions of ebooks, audiobooks, magazines, and more from Scribd. Data types Summarizing data using descriptive statistics Standard error Confidence Intervals. BIOS:6610 STATISTICAL METHODS IN CLINICAL TRIALS - . UCLA STAT 13. - Chapter 9. - 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. The probability of stepping to, to the left is q 1 p. In general, q ? 5. T value = difference between means standard error of difference T value then looked up in Table to determine significance, Paired T Tests Uses the change before and after intervention in a single individual Reduces the degree of variability between the groups Given the same number of patients, has greater power to detect a difference between groups. Non-Parametric Methods - Statistics for Health Research Non-Parametric Methods Peter T. Donnan Professor of Epidemiology and Biostatistics | PowerPoint PPT presentation | free to view Research and Statistical Methods for Gym Business (1) - This research study was done to analyze the factors or the issues why the gym was losing the profit. Instant access to millions of ebooks, audiobooks, magazines, podcasts and more. Click here to review the details. Statistical Issues Designing Clinical Research - . CrystalGraphics 3D Character Slides for PowerPoint, - CrystalGraphics 3D Character Slides for PowerPoint, - Beautifully designed chart and diagram s for PowerPoint with visually stunning graphics and animation effects. Use of non-parametric tests Use for categorical, ordinal or non-normally distributed continuous data May check both parametric and non-parametric tests to check for congruity Most non-parametric tests are based on ranks or other non- value related methods Interpretation: Is the P value significant? christopher s. coffey. }>@X'- (W? vORv[K? The application of statistical methods extracts information from . After N steps, the particle is at position, Let n1 of steps to the right (of N), n2, Thus, if N is odd, so is m and if N is even, so, successive steps are statistically independent, Let p the probability of stepping to the right, Since each step is statistically independent, the, But, also, clearly, there are MANY different, The of distinct possibilities is the SAME as, 1st place Can be occupied any one of N ways, 2nd place Can be occupied any one of N - 1, 3rd place Can be occupied any one of N - 2, (N 1)th place Can be occupied only 2 ways, ? d d @ @@ `` H ( c Power is the ability of a study to avoid a Type II error. Statistical methods in NLP - . The scientific study of behavior and mental processes Philosophical Developments A Question Introduction%20linkage%20analysis,%20Genetic%20markers,%20mapping%20functions%20Lecture%203. Statistical Methods in Clinical Trials - . 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. With so many measurements, simply looking at the data fails to provide an informative account. Activate your 30 day free trialto unlock unlimited reading. REACH Resources | Informing more effective humanitarian action The independent variable is often seen as influencing, directly or indirectly, the dependent variable. Clipping is a handy way to collect important slides you want to go back to later. 3. - CHAPTER 3 Review of Statistics INTRODUCTION The creation of histograms and probability distributions from empirical data. By accepting, you agree to the updated privacy policy. Tap here to review the details. Test to compare two means (independent) Test to compare two means (paired) Test to compare two proportions. 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