statistical methods in research pptstatistical methods in research ppt
Practical Statistics for Medical Research, Correlation Correlation Coefficient .7 Correlation Coefficient -.5 Source: Altman. One-sided vs. Two-sided Most tests should be framed as a two-sided test. 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, ? 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, ? Blackwell Scientific Publications, Oxford. Sz_]WMi4}S:4c_KC%. They are all artistically enhanced with visually stunning color, shadow and lighting effects. sumber: Statistical Methods in Clinical Trials II Categorical Data - . 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. The goal of statistics is to help researchers organize and interpret the data. - 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. Statistical research is the rigorous development of improved or new statistical methods grounded in probability and statistical theory. Now customize the name of a clipboard to store your clips. roger l. bertholf, ph.d., dabcc associate, Statistical Methods - . 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. BIOS:6610 STATISTICAL METHODS IN CLINICAL TRIALS - . Click here to review the details. allen s chapter 7 j&m s chapters 8 and 12. statistical methods. collecting and describing data. Whatever your area of interest, here youll be able to find and view presentations youll love and possibly download. - An Introduction to Statistical Problem Solving in Geography - 2nd Edition . This can be easily generalized to 2 dimensions. large data, Statistical Methods - . course overview course. Activate your 30 day free trialto continue reading. TI%)$IJB'mVl~~ {kc$N/^\p% I]zDdA h7+L$"H.1KaP Zs.emeni"^]WON/~whm{+?4sZ@2 !X(5Ze `gookv mp9@TX_Ku~K%goECcx:n;?(7 need to solve. Confidence Intervals Commonly reported in studies to provide an estimate of the precision of the mean. For routine medical research, use only two-sided tests. We've updated our privacy policy. The SlideShare family just got bigger. You might even have a presentation youd like to share with others. The Statistics and Methods Core supports CCPR research and training by providing expertise in the choice, development, and implementation of statistical methodology. Example: A company advertises the net weight of its cereal is 24 ounces. gordon c. nagayama hall 355 straub phone: 346-4969 e-mail: gnhall@darkwing.uoregon.edu. Confidence Intervals May be used to assess a single point estimate such as mean or proportion. p. The, the lamp post is at x 0. (N-n1)!n1pn1qn2, But, for our special case (p q) 1, (p q)N-1, Summary The mean number of steps to the right, We might have guessed this! Do you have PowerPoint slides to share? They, So, its very important to spend some time on. - Chapter 9. Data types Summarizing data using descriptive statistics Standard error Confidence Intervals. Would need to do pair-wise tests. christopher s. coffey. By whitelisting SlideShare on your ad-blocker, you are supporting our community of content creators. The function of statistics in research is to purpose as a tool in conniving research, analyzing its data and portrayal of conclusions there from. 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 Research Scholar - HNB Garhwal Central University, Srinagar, Uttarakhand. It appears that you have an ad-blocker running. Steps of Statistical Applications (Practical guides for beginners) Begin at the conclusion Identify the primary research question Identify . descriptive statistics inferential statistics. Data presentation can also help you determine the best way to present the data based on its arrangement. When designing a study, one needs to determine how large a study is needed. A measure of the precision of a sample in estimating the population parameter. chapter 7(7.1 &7.2): theory and application of the, An Intensive Course in Clinical Research Methods - . Descriptive Statistics Descriptive statistics are methods for organizing and summarizing data. ADVANCED STATISTICAL METHODS IN AGRICULTURAL RESEARCH - . Activate your 30 day free trialto unlock unlimited reading. 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. (n1 0?N) N!/(n1!n2! 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Methods of Collecting Data biomedical Signal processing ???????? Each has, A molecule travels in 3 dimensions with a mean, The techniques used are Powerful General. 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. ? Get powerful tools for managing your contents. For example, suppose we measure the weight of 100 patients in a study. It has millions of presentations already uploaded and available with 1,000s more being uploaded by its users every day. Statistical Methods. Click here to review the details. Statistical Methods in Clinical Research. Four hundred and twenty nine participants were selected randomly using stratified sampling followed by lottery method. Standard Error Standard error of the mean Standard deviation / square root of (sample size) (if sample greater than 60) Standard error of the proportion Square root of (proportion X 1 - proportion) / n) Important: dependent on sample size Larger the sample, the smaller the standard error. 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. When the sample size is small, the estimation and testing procedures of Chapter 8 are not appropriate. Data presentation. We've encountered a problem, please try again. This analysis doesnt take into. Activate your 30 day free trialto unlock unlimited reading. the spread of the u values about the mean u. ? When comparing two samples, we usually cannot be sure which is going to be be better. February 13, 2010. diana trandabat 2013-2014. cky parsing. 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. 2022 in a Nutshell Reminiscing the year when opportunities were seized and feats were achieved! 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. 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? - CrystalGraphics offers more PowerPoint templates than anyone else in the world, with over 4 million to choose from. 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 H H JFIF H H Adobe_CM Adobe d 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. a large study dooms you to statistical significance Anonymous Statistician. Sample Mean Most commonly used measure of central tendency Best applied in normally distributed continuous data. It's FREE! supported by the institute for clinical and translational, Practical Applications of Statistical Methods in the Clinical Laboratory - . The statistical parameters used to PSYCH 625 MENTOR Introduction Education--psych625mentor.com, - FOR MORE CLASSES VISIT www.psych625mentor.com PSYCH 625 Assignment Week 1 Descriptive and Inferential Statistics Worksheet (New Syllabus) PSYCH 625 Assignment Week 2 Probability and Statistical Analysis Worksheet (New Syllabus) PSYCH 625 Assignment Week 3 Identifying Statistical Tests in the Literature Worksheet (New Syllabus) PSYCH 625 Assignment Week 4 Comparing Means Worksheet (New Syllabus) PSYCH 625 Assignment Week 5 Correlation Worksheet (New Syllabus) PSYCH 625 Assignment Week 6 Chi-Square Worksheet (New Syllabus), - Chapter 1: Introduction Project Management Summer 2014/2015 Dr. Nouh Alhindawi Department of Software Engineering Jordan University of Science and Technology. marcia a. testa, mph. The independent variable is often seen as influencing, directly or indirectly, the dependent variable. gordon c. nagayama hall 355 straub phone: 346-4969 e-mail: gnhall@darkwing.uoregon.edu. No problem. gordon c. nagayama hall 355 straub phone: 346-4969 e-mail: Clinical Research Methods - . What is the mean displacement, ltxgt ltmgtl? You can read the details below. Learn faster and smarter from top experts, Download to take your learnings offline and on the go. Quantitative vs. Qualitative: Methods and Process The scientific method, also known as a priori or pre-established design. I am looking for Editing/ Proofreading services for my manuscript She is currently a Learning / Research Analyst, working in the Centre for Learning Environment and Assessment Development (CoLEAD) at Singapore Institute of Technology (SIT). ziad taib biostatistics astrazeneca february 22, 2012. types of data. > @=P p8L\ +Dt{?l$ 1 bv p> x]lepm BViXJC9%Q?GMjR"&O`}g1U.A4}0h)}k$BL/@Cx|v{dfvo~vS C a pT} m[;(u\M#w'l@)d^xp2-@Y]v`[^(Crm^N4' >N+:{j? 6}KyX UCLA STAT 13. Overview. The decision-maker for desk-rejecting a manuscript, Acceptable standard for English language quality, Retraction of articles and how authors should handle it. types of data. The aim of this study was to compare PPT and traditional lecture method in material understandability, effectiveness and attitude among university students. Presentation Transcript. ? Do not sell or share my personal information, 1. Basics stat ppt-types of data Farhana Shaheen 23.3k views Null hypothesis AND ALTERNAT HYPOTHESIS ADESH MEDICAL COLLEGE 53.5k views Presentation of data Ruby Ocenar 256k views Research Design gaurav22 401.8k views Standard deviation P. G. Department of Botany, Berhampur University 82.6k views Chi squared test Dhruv Patel 6.4k views Test to Compare Two Population Variances. You can read the details below. Systematic Random Sampling is a method of probability sampling in which the defined target population is ordered and the sample is selected according to position using a skip interval.. Test to compare several means. 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. 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. (Ensemble the French word for assembly). ? Introduction to Statistical Computing in Clinical Research - Today. course overviewcourse objectivescourse details: AAEC 4302 STATISTICAL METHODS IN AGRICULTURAL RESEARCH - . Clearly, m n1 n2, so ltmgt ltn1gt - ltn2gt N( p, So, if p q , ltmgt 0 so, ltxgt ltmgtl 0, Question 3 What is the dispersion (or variance), That is, what is the spread in n1 values about, So, we first need to calculate the quantity, Use a similar trick as we did before note, After algebra (in the book) using p q 1, we, So, finally, using lt(?n1)2gt lt(n1)2gt - (ltn1gt)2, This is the dispersion or variance of the, The root mean square (rms) deviation from the, (?n1) ? - PowerPoint PPT presentation Number of Views: 637 Avg rating:3.0/5.0 Slides: 67 Provided by: Charles7 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. Sometimes, u is called the 1st moment of P(u). 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. Clipping is a handy way to collect important slides you want to go back to later. Chapter 1: Introduction to Statistical Methods Description: . Tap here to review the details. They'll give your presentations a professional, memorable appearance - the kind of sophisticated look that today's audiences expect. Free access to premium services like Tuneln, Mubi and more. Statistical Issues Designing Clinical Research - . Tap here to review the details. +KRs8@f Pdk )px!` mC#07jd}c^ ! If a confidence interval range is very wide, then plausible value might range from very low to very high. Instant access to millions of ebooks, audiobooks, magazines, podcasts and more. u " 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%). You can read the details below. cocke-kasami-younger parsing algorithm: Statistical methods in NLP - . Quantitative vs. Qualitative: Prototypical Studies Experimental or correlational designs are used to reduce error, bias and the influence of extraneous . James B. 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. In it's simplest, idealized form, the random walk problem can be viewed as in the figure . Statistical methods are essential for scientific research. Dr. Shamanthakamani Narendran M.D. Statistical Methods in Clinical Trials - . 3. So, the relative, ? Rex Book Store ; Assessment of Learning I and II by Dr. Rosita De Guzman-Santos, LORIMAR Publishing, 2007 Ed. al. # $ % & ' ( ) * + , - . Create stunning presentation online in just 3 steps. By whitelisting SlideShare on your ad-blocker, you are supporting our community of content creators. Medical Statistics Made Easy, Correlation Perfect Correlation Source: Altman. In doing so, the statistician seeks to limit bias, maximize objectivity, and obtain results that are scientifically valid. For example, tables or graphs are used to organize data, and descriptive values such as the average score are used to summarize data. 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. Free access to premium services like Tuneln, Mubi and more. then given by the fraction of these experiments in which two . charles e. mcculloch division of biostatistics. 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. (Pead), Ph.D. (Yoga Science) R E S E A R C H M E T H O D S. august 12, 2009. Sample Size for Continuous Data Stata input: Mean 1 = 20, mean 2 = 30, = .05, power (1-) =.8, std. 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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. - Enago.tw | Reviso de Texto- Enago.com.br | Ingilizce Dzenleme- Enago.com.tr, Copyright 2023 - ALL RIGHTS RESERVED | Privacy Policy | Terms & Conditions | Contact Us. We model patterns in the data in such a way to account for randomness and uncertainty in the observations, and then draw inferences about the process or population being studied. Forget the drunk, lets get back to Physics! For qualitative data, you can use methods such as thematic analysis to interpret patterns and meanings in the data. ~ :q;M }ARv=vc[NHev]UB E1Gn ?zE. 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). 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 ? 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. Here, you can use descriptive statistics tools to summarize the data. Remember there is variability among samples- they might seem to come from different populations but they may not. By whitelisting SlideShare on your ad-blocker, you are supporting our community of content creators. Cathy Walker. Click here to review the details. Data presentation is an extension of data cleaning, as it involves arranging the data for easy analysis. Instant access to millions of ebooks, audiobooks, magazines, podcasts and more. }>@X'- (W? vORv[K? We've updated our privacy policy. So, we need to divide the result by n1!n2! - Chapter 1: Introduction and Research Methods What is Psychology? We've encountered a problem, please try again. 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 ? CCPR offers "drop-in" statistical consulting services to meet short-term needs of CCPR affiliates. 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. Power is the ability of a study to avoid a Type II error. 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. 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. Statistical Methods in Clinical Trials - . data analysis techniques and statistical softwares. Tentative date of next journal submission: For what are you most likely to depend on AI-assistance? Now customize the name of a clipboard to store your clips. Table of contents Methods for collecting data Examples of data collection methods Methods for analyzing data Well convert it to an HTML5 slideshow that includes all the media types youve already added: audio, video, music, pictures, animations and transition effects. Spies M.D., MPH Professor of Radiology Georgetown University School of Medicine Washington, DC. In her current role, she is involved with the collection and analysis of big data for institutional and pedagogical research, and presentation of findings to internal . We had, m n1 n2 2n1 N. So, ltmgt 2ltn1gt, ?m m - ltmgt (2n1 N) (2ltn1gt - N) 2(n1, (?m)2 4(?n1)2. Qualitative Vs. Quantitative Research A step-wise guide to conduct research. 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. Looks like youve clipped this slide to already. You never know which directions study results will go. 2023 SlideServe | Powered By DigitalOfficePro, - - - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - - -. By accepting, you agree to the updated privacy policy. 3rd edition. [A}?-wm}. P Values and Confidence Intervals P values provide less information than confidence intervals. / 0 1 2 3 4 5 6 7 8 9 : ; = > ? For the, Again note that ltn1gt Np. It appears that you have an ad-blocker running. But m 2n1 N, so n1 ()(N, n2 N - n1 ()(N - m). Research, Types and objectives of research. The independent variable usually occurs earlier in time than the dependent variables. Then you can share it with your target audience as well as PowerShow.coms millions of monthly visitors. data sharing / standardization. - Introduction to Statistics 1.1 An Overview of Statistics 1.2 Data Classification 1.3 Experimental Design * Larson/Farber 4th ed. - Chapter 8: Introduction to Find the lower and upper confidence limits. Similarly, we can, Of course, ltn1gt ltn2gt N(p q) N as it. Research Method.ppt 1 of 70 Research Method.ppt Feb. 01, 2010 169 likes 47,695 views Education Shama Follow Advertisement Advertisement Recommended Research in education Vijayalakshmi Murugesan 2.3k views 65 slides Research methodology Md Saifullah Khalid 7.1k views 32 slides Rm chapter 2 report cheppumol 535 views 10 slides 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. Do not sell or share my personal information, 1. By accepting, you agree to the updated privacy policy. 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. 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. Overview. Analysis of Variance Used to determine if two or more samples are from the same population- the null hypothesis. Common Statistical Methods for Clinical Research with SAS Examples, Third Edition. 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. 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. 3rd edition. Chapter 10 Data Monitoring, Monitoring Committee Function, - Chapter 10 Data Monitoring, Monitoring Committee Function & Statistical Methods. (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. More than one method is . You can unsubscribe at any time by clicking on the unsubscribe link in the newsletter. Ist Yr MSc(N) continuous data. The probability of stepping to, to the left is q 1 p. In general, q ? Ratios: if CI includes 1, then is not significant The interval contains the true population value 95% of the time. By accepting, you agree to the updated privacy policy. You can read the details below. Much more useful than correlation Allows prediction of values of Y rather than just whether there is a relationship between two variable. > g Activate your 30 day free trialto continue reading. We've updated our privacy policy. 2. Statistical methods in NLP - . 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.
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statistical methods in research ppt