statistical methods in research pptstatistical methods in research ppt

Presentation Transcript. Clipping is a handy way to collect important slides you want to go back to later. Power is the ability of a study to avoid a Type II error. 2. The application of statistical methods extracts information from . CCPR offers "drop-in" statistical consulting services to meet short-term needs of CCPR affiliates. 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. 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. ziad taib biostatistics astrazeneca february 22, 2012. types of data. 63^*6oFhdBXP6mkw P_(axEknr_F.VpH^oEB~,xF.Yxl8goKNst=vq~A($rVqg$rQ/$K7v-yG_I/G?WyOKTk3QyIYzp-V^XtwR>sgZa~'C]A|#Ho52;ndYF{Z'#*h 0t`s?gai4 VUsB9. strongly agree, agree, neither agree or disagree, etc. 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. Activate your 30 day free trialto unlock unlimited reading. Instant access to millions of ebooks, audiobooks, magazines, podcasts and more. d d @ @@ `` H ( c 2022 in a Nutshell Reminiscing the year when opportunities were seized and feats were achieved! So the probability, which is probably the most elementary (discrete), As another example, suppose that p q , N, The Binomial Distribution is only one example of, Most of the following results are valid for ANY, Let u a variable which can take on any of M, with probabilities P(u1),P(u2),P(u3),..,P(uM-1),P, The Mean (average) value of u is defined as, S1 P(u1) P(u2) P(u3) .. P(uM-1) P(uM), For a properly normalized distribution, S1. Statistical research is the rigorous development of improved or new statistical methods grounded in probability and statistical theory. ; The sampling interval, i, is determined by dividing the population size N by . 2023 SlideServe | Powered By DigitalOfficePro, - - - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - - -. descriptive statistics inferential statistics. 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, ? You might get some help from www.HelpWriting.net Success and best regards! We've updated our privacy policy. ziad taib biostatistics astrazeneca march 7, 2012. types. A very large study might find that a difference of .1 on a VAS Scale of 0 to 10 is statistically significant but it may be of no clinical significance A large study might find many significant findings during multivariable analyses. Confidence Intervals Commonly reported in studies to provide an estimate of the precision of the mean. Research & Expertise - Missing Data & Observational Data Modeling Methods - Record Linkage & Machine Learning Methods They'll give your presentations a professional, memorable appearance - the kind of sophisticated look that today's audiences expect. Instant access to millions of ebooks, audiobooks, magazines, podcasts and more. Blackwell Scientific Publications, Oxford. large data, Statistical Methods - . Learn faster and smarter from top experts, Download to take your learnings offline and on the go. Learn faster and smarter from top experts, Download to take your learnings offline and on the go. 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. You can read the details below. Statistical Issues Designing Clinical Research - . Click here to review the details. When comparing two samples, we usually cannot be sure which is going to be be better. For routine medical research, use only two-sided tests. Comparative descriptive survey research design was employed to answer the research questions raised. By whitelisting SlideShare on your ad-blocker, you are supporting our community of content creators. Cathy Walker. 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. 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. Chapter 1: Introduction to Statistical Methods Description: . This course The Physics of systems containing, Classical Newtons Laws ?? Princy Francis M Statistical Methods in Clinical Trials - . Introduction to Statistical Computing in Clinical Research - Today. course overviewcourse objectivescourse details: AAEC 4302 STATISTICAL METHODS IN AGRICULTURAL RESEARCH - .  4 R $ KT XAYM( "n R $ SJqO& U "n R $ 2N[q Univariate, bivariate analysis, hypothesis testing, chi square, Medical Statistics Part-I:Descriptive statistics, Choosing the Right Statistical Techniques, Basics of Educational Statistics (Inferential statistics), Statistics in research by dr. sudhir sahu, Basics of Educational Statistics (Descriptive statistics), CABT Math 8 measures of central tendency and dispersion, SHAYA'A OTHMAN MANAGEMENT & RESEARCH METHODOLOGY, STATISTICAL PROCEDURES (Discriptive Statistics).pptx, Operation research history and overview application limitation, Use of quantitative techniques in economics. (Pearsons) Chi-Squared (2) Test Used to compare observed proportions of an event compared to expected. Activate your 30 day free trialto unlock unlimited reading. Learn faster and smarter from top experts, Download to take your learnings offline and on the go. All available places can be occupied in, Note However! (Pead), Ph.D. (Yoga Science) R E S E A R C H M E T H O D S. The independent variable is often seen as influencing, directly or indirectly, the dependent variable. 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. lt(?n1)2gt (in general). Free access to premium services like Tuneln, Mubi and more. H H JFIF H H Adobe_CM Adobe d 3. The independent variable usually occurs earlier in time than the dependent variables. You can read the details below. 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. course overview course. You might even have a presentation youd like to share with others. Test of Strength & Direction of Linear Relationship of 2 Quantitative Variables. More than one method is . Forget the drunk, lets get back to Physics! We've encountered a problem, please try again. It appears that you have an ad-blocker running. So, we need to divide the result by n1!n2! - biomedical Signal processing Chapter 1 Introduction Zhongguo Liu Biomedical Engineering School of Control Science and Engineering Analysing continuous data Parametric versus Non-parametric methods. Clipping is a handy way to collect important slides you want to go back to later. Sometimes, u is called the 1st moment of P(u). 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. In inferential statistics, we are generally using a sample. Quantitative vs. Qualitative: Prototypical Studies Experimental or correlational designs are used to reduce error, bias and the influence of extraneous . Slide 1. Clipping is a handy way to collect important slides you want to go back to later. 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 - Chapter 8: Introduction to Find the lower and upper confidence limits. Most research studies result in a extensive. We focus on methods in eight areas of statistical research and maintain expertise in each. For quantitative data, you can use statistical analysis methods to test relationships between variables. It has millions of presentations already uploaded and available with 1,000s more being uploaded by its users every day. al. We've encountered a problem, please try again. marcia a. testa, mph. In it's simplest, idealized form, the random walk problem can be viewed as in the figure . Test to Compare Two Population Variances. Sample Size Calculation Also called power analysis. Enjoy access to millions of ebooks, audiobooks, magazines, and more from Scribd. (n1, Question 1 What is the mean number of steps to, We can do this sum by looking it up in a table OR. Sample Size for Continuous Data Stata input: Mean 1 = 20, mean 2 = 30, = .05, power (1-) =.8, std. }>@X'- (W? vORv[K? Analysis of Variance Used to determine if two or more samples are from the same population- the null hypothesis. 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And, best of all, it is completely free and easy to use. 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? Practical Statistics for Medical Research. 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. Four hundred and twenty nine participants were selected randomly using stratified sampling followed by lottery method. Free access to premium services like Tuneln, Mubi and more. # $ % & ' ( ) * + , - . > g We've updated our privacy policy. Looks like youve clipped this slide to already. Descriptive Statistics Descriptive statistics are methods for organizing and summarizing data. ` / 0 D A r i a l G r a n d e 0 P P \, O0 D L u c i d a G r a n d e 0 P P \, O0 @ . Would need to do pair-wise tests. christopher s. coffey. Very helpful- In analysis of height and weight, for a known height, one can predict weight. Statistical methods in NLP - . 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. Boasting an impressive range of designs, they will support your presentations with inspiring background photos or videos that support your themes, set the right mood, enhance your credibility and inspire your audiences. JMCON. 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. Tap here to review the details. The SlideShare family just got bigger. ? Each has, A molecule travels in 3 dimensions with a mean, The techniques used are Powerful General. Introduction to Statistical Computing in Clinical Research - . continuous data. - Chapter 9. Usually used for 3 or more samples. 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 Table of contents Methods for collecting data Examples of data collection methods Methods for analyzing data 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. Not applicable in categorical data Definition: Sum of all the values in a sample, divided by the number of values. 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. Winner of the Standing Ovation Award for Best PowerPoint Templates from Presentations Magazine. - Introduction to Hypothesis Testing Chapter 8 - Chapter Outcomes After studying the material in this chapter, you should be able to: Formulate null and alternative An Introduction to Statistical Problem Solving in Geography - 2nd Edition. Statistical Methods. continuous blood pressure time to event. Do not sell or share my personal information, 1. Research, Types and objectives of research. P Values and Confidence Intervals Confidence intervals provide a range of plausible values of the population mean For most tests, if the confidence interval includes 0, then it is not significant. Is the most common value More frequently used to describe the distribution of data Uni-modal, bi-modal, etc. 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). 5. 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If a confidence interval range is very wide, then plausible value might range from very low to very high. (Ensemble the French word for assembly). Instant access to millions of ebooks, audiobooks, magazines, podcasts and more. And theyre ready for you to use in your PowerPoint presentations the moment you need them. (n1 0?N) N!/(n1! 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. Dr. Shamanthakamani Narendran M.D. The SlideShare family just got bigger. need to solve. 1994. page 99 63 Tips 6 (b) P-value vs. 95CI (4) Adapted from Armitage, P. and Berry, G. Statistical methods in medical research. diana trandabat 2013-2014. the sentence as a string of words e.g i saw the lady with. (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. dev. Data presentation can also help you determine the best way to present the data based on its arrangement. A P value provides only a probability that estimate is due to chance A P value could be statistically significant but of limited clinical significance. Clipping is a handy way to collect important slides you want to go back to later. Data Analysis and Presentation Describing and Presenting Data Three important criteriaaccuracy, conciseness, and understandability Researchers should always present their data in ways that most accurately represent the data Numerical data can be classified as numerical (example: percentages, (means) or graphical (graphs) method) Statistics Three areas: 1) Descriptive - central tendency . Activate your 30 day free trialto continue reading. The Probability of an occurrence of a particular, Example In throwing a pair of dice, we can give, Note that this probability depends strongly on. Looks like youve clipped this slide to already. ADVANCED STATISTICAL METHODS IN AGRICULTURAL RESEARCH - . (n1 0?N) N!/(n1!n2! 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. RESEARCH (PART 1 James B. UCLA STAT 13. Click here to review the details. Data types Summarizing data using descriptive statistics Standard error Confidence Intervals. Remember there is variability among samples- they might seem to come from different populations but they may not. the spread of the u values about the mean u. 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. Statistical Methods in Clinical Research. Methods of Collecting Data biomedical Signal processing ???????? The scientific study of behavior and mental processes Philosophical Developments A Question Introduction%20linkage%20analysis,%20Genetic%20markers,%20mapping%20functions%20Lecture%203. 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 SlideShare family just got bigger. Tap here to review the details. Do you have PowerPoint slides to share? The probability of stepping to, to the left is q 1 p. In general, q ? Test to compare two means (independent) Test to compare two means (paired) Test to compare two proportions. p. The, the lamp post is at x 0. ~ :q;M }ARv=vc[NHev]UB E1Gn ?zE. Standard error measures the precision of the estimate of a population parameter provided by the sample mean or proportion. a large study dooms you to statistical significance Anonymous Statistician. - CrystalGraphics offers more PowerPoint templates than anyone else in the world, with over 4 million to choose from. august 12, 2009. Clarification Standard Deviation measures the variability or spread of the data in an individual sample. Now customize the name of a clipboard to store your clips. methods research methods quantitative methods qualitative methods mathematical statistical methods interviews structured semi structured Download Presentation Research Methods An Image/Link below is provided (as is) to download presentation You can read the details below. data analysis techniques and statistical softwares. Schedule Introduction Data Analysis--Introduction Data Collection Instruments Issues in Research Design Sample Size Sources of Error If O(u) is any function of u, the mean value of, Some simple mean values that are useful for, This is a measure of the central value of u, Consider the quantity ?u u - u (deviation from, ? Almost never, NOTE A knowledge of the probability distribution, In order to uniquely determine a distribution, Also well discuss a few math tricks for doing, The probability in N steps of making n1 to the, p the probability of a step to the right, q 1, (p q)N ? Activate your 30 day free trialto continue reading. P values, Statistical Methods in Clinical Research James B. collection, statistical analysis, and making appropriate inferences from the data. You never know which directions study results will go. You can unsubscribe at any time by clicking on the unsubscribe link in the newsletter. 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. STATISTICAL ANALYSIS By whitelisting SlideShare on your ad-blocker, you are supporting our community of content creators. 1994. page 99 There were statistically significant different Quantitative vs. Qualitative: Methods and Process The scientific method, also known as a priori or pre-established design. ? Ratios: if CI includes 1, then is not significant The interval contains the true population value 95% of the time. Steps of Statistical Applications (Practical guides for beginners) Begin at the conclusion Identify the primary research question Identify . We've updated our privacy policy. @ 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 &( . The unit staff provide advice about what to do and how to do it as well as . ? In doing so, the statistician seeks to limit bias, maximize objectivity, and obtain results that are scientifically valid. ? Enjoy access to millions of ebooks, audiobooks, magazines, and more from Scribd. 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. Used with nominal data (better/ worse; dead/alive) If there is a substantial difference between observed and expected, then it is likely that the null hypothesis is rejected. Ratio of two interval data points has no meaning Temperature in celsius, day of the year). Now customize the name of a clipboard to store your clips.
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