statistical methods in research ppt

- STAT 13, UCLA, Ivo Dinov. Qualitative Vs. Quantitative Research A step-wise guide to conduct research. ? You might get some help from www.HelpWriting.net Success and best regards! For example, suppose we measure the weight of 100 patients in a study. Practical Statistics for Medical Research. When comparing two samples, we usually cannot be sure which is going to be be better. Activate your 30 day free trialto continue reading. data sharing / standardization. Introduction Observational Data Descriptive statistics involve summarizing a collection of data. 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 it appears they are not from same population, cant tell which sample is different. 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. 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 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. Test about a slope. Sample size for proportions Stata input: Mean 1 = .2, mean 2 = .3, = .05, power (1-) =.8. Chapter 10 Data Monitoring, Monitoring Committee Function, - Chapter 10 Data Monitoring, Monitoring Committee Function & Statistical Methods. 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. Then you can share it with your target audience as well as PowerShow.coms millions of monthly visitors. 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. By whitelisting SlideShare on your ad-blocker, you are supporting our community of content creators. Free access to premium services like Tuneln, Mubi and more. By accepting, you agree to the updated privacy policy. 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 (Pearsons) Chi-Squared (2) Test Used to compare observed proportions of an event compared to expected. By whitelisting SlideShare on your ad-blocker, you are supporting our community of content creators. We've updated our privacy policy. Very helpful- In analysis of height and weight, for a known height, one can predict weight. Statistical Methods. 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. Test of Strength & Direction of Linear Relationship of 2 Quantitative Variables. Ist Yr MSc(N) the spread of the u values about the mean u. For routine medical research, use only two-sided tests. Also called the error. Sz_]WMi4}S:4c_KC%. P Values and Confidence Intervals P values provide less information than confidence intervals. # $ % & ' ( ) * + , - . @ n ? " The sample is chosen by selecting a random starting point and then picking every i th element in succession from the sampling frame. Four hundred and twenty nine participants were selected randomly using stratified sampling followed by lottery method. Walker, Glenn A., and Jack Shostak. James B. august 12, 2009. > @=P p8L\ +Dt{?l$ 1 bv p> x]lepm BViXJC9%Q?GMjR"&O`}g1U.A4}0h)}k$BL/@Cx|v{dfvo~vS C a pT} m[;(u\M#w'l@)d^xp2-@Y]v`[^(Crm^N4' >N+:{j? 6}KyX u " So, we need to divide the result by n1!n2! Not applicable in categorical data Definition: Sum of all the values in a sample, divided by the number of values. gordon c. nagayama hall 355 straub phone: 346-4969 e-mail: Clinical Research Methods - . Activate your 30 day free trialto unlock unlimited reading. Chapter 1: Introduction to Statistical Methods Description: . Enjoy access to millions of ebooks, audiobooks, magazines, and more from Scribd. Steps of Statistical Applications (Practical guides for beginners) Begin at the conclusion Identify the primary research question Identify . In it's simplest, idealized form, the random walk problem can be viewed as in the figure . charles e. mcculloch division of biostatistics. / 0 1 2 3 4 5 6 7 8 9 : ; = > ? N. lt(?m)2gt lt(m - ltmgt)2gt in the net displacement? By whitelisting SlideShare on your ad-blocker, you are supporting our community of content creators. Errors Type I error Claiming a difference between two samples when in fact there is none. allen s chapter 7 j&m s chapters 8 and 12. statistical methods. (n1 0?N) N!/(n1!n2! ; The sampling interval, i, is determined by dividing the population size N by . Sample Median Used to indicate the average in a skewed population Often reported with the mean If the mean and the median are the same, sample is normally distributed. You never know which directions study results will go. I am looking for Editing/ Proofreading services for my manuscript The independent variable is often seen as influencing, directly or indirectly, the dependent variable. 3. {k68vX o F?5z[gfA)aU[x[~z ^SK&Kamis~ [] 5okev{\-p5}a0Ly O/;]/nEQ)Rllp.k$n-w87[W n)f3}u=[`9cf UhsH-"A The SlideShare family just got bigger. You can unsubscribe at any time by clicking on the unsubscribe link in the newsletter. We've updated our privacy policy. (Pead), Ph.D. (Yoga Science) R E S E A R C H M E T H O D S. Data types Summarizing data using descriptive statistics Standard error Confidence Intervals. Enjoy access to millions of ebooks, audiobooks, magazines, and more from Scribd. CCPR offers "drop-in" statistical consulting services to meet short-term needs of CCPR affiliates. B^uuhm?}{].~}v_J;xogJY]@.)oqC? - 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. This course The Physics of systems containing, Classical Newtons Laws ?? So, the relative, ? Free access to premium services like Tuneln, Mubi and more. It appears that you have an ad-blocker running. Data presentation is an extension of data cleaning, as it involves arranging the data for easy analysis. Confidence Intervals May be used to assess a single point estimate such as mean or proportion. H H JFIF H H Adobe_CM Adobe d By whitelisting SlideShare on your ad-blocker, you are supporting our community of content creators.  4 R $ KT XAYM( "n R $ SJqO& U "n R $ 2N[q Mid-value in interquartile range. - Chapter 8: Introduction to Find the lower and upper confidence limits. 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 (!) Usually used for 3 or more samples. 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. large data, Statistical Methods - . They, So, its very important to spend some time on. Click here to review the details. [A}?-wm}. 10. 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 . Looks like youve clipped this slide to already. 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. (Ensemble the French word for assembly). Example: A company advertises the net weight of its cereal is 24 ounces. Here, you can use descriptive statistics tools to summarize the data. 8p" O . R $ i4N5y } R $ `N%L B RX R $ M>3O'2 X R $ In inferential statistics, we are generally using a sample. 3rd edition. diana trandabat 2013-2014. cky parsing. Power is the ability of a study to avoid a Type II error. We've encountered a problem, please try again. We focus on methods in eight areas of statistical research and maintain expertise in each. 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 ? Tap here to review the details. ! " Slide 1. Comparative descriptive survey research design was employed to answer the research questions raised. The goal of statistics is to help researchers organize and interpret the data. 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. 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 Table of contents Methods for collecting data Examples of data collection methods Methods for analyzing data Research & Expertise - Missing Data & Observational Data Modeling Methods - Record Linkage & Machine Learning Methods continuous blood pressure time to event. BIOS:6610 STATISTICAL METHODS IN CLINICAL TRIALS - . 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%). By accepting, you agree to the updated privacy policy. Methods of Collecting Data biomedical Signal processing ???????? We've encountered a problem, please try again. UCLA STAT 13. A measure of the precision of a sample in estimating the population parameter. 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. PowerShow.com is a leading presentation sharing website. 4. 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. 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) ? 3 !1AQa"q2B#$Rb34rC%Scs5&DTdEt6UeuF'Vfv7GWgw 5 !1AQaq"2B#R3$brCScs4%&5DTdEU6teuFVfv'7GWgw ? Much more useful than correlation Allows prediction of values of Y rather than just whether there is a relationship between two variable. Now customize the name of a clipboard to store your clips. Winner of the Standing Ovation Award for Best PowerPoint Templates from Presentations Magazine. biostatistics 212 lecture 1. today. Statistical research is the rigorous development of improved or new statistical methods grounded in probability and statistical theory. 2. christopher s. coffey. For quantitative data, you can use statistical analysis methods to test relationships between variables. Overview. Sample Size for Continuous Data Stata input: Mean 1 = 20, mean 2 = 30, = .05, power (1-) =.8, std. Introduction to Statistical Computing in Clinical Research - Today. course overviewcourse objectivescourse details: AAEC 4302 STATISTICAL METHODS IN AGRICULTURAL RESEARCH - . This analysis doesnt take into. ADVANCED STATISTICAL METHODS IN AGRICULTURAL RESEARCH - . The SlideShare family just got bigger. Statistical Methods in Clinical Trials - . It appears that you have an ad-blocker running. - 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. +KRs8@f Pdk )px!` mC#07jd}c^ ! Well convert it to an HTML5 slideshow that includes all the media types youve already added: audio, video, music, pictures, animations and transition effects. roger l. bertholf, ph.d., dabcc associate, Statistical Methods - . # $ % & ' ( ) * Click here to review the details. Instant access to millions of ebooks, audiobooks, magazines, podcasts and more. For qualitative data, you can use methods such as thematic analysis to interpret patterns and meanings in the data. )pn1qn2 ? 2023 SlideServe | Powered By DigitalOfficePro, - - - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - - -. Is the most common value More frequently used to describe the distribution of data Uni-modal, bi-modal, etc. - Chapter 1: Introduction and Research Methods What is Psychology? Common Statistical Methods for Clinical Research with SAS Examples, Third Edition. (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. 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. Clipping is a handy way to collect important slides you want to go back to later. This may lead to a negative study outcome in error. sumber: Statistical Methods in Clinical Trials II Categorical Data - . cocke-kasami-younger parsing algorithm: Statistical methods in NLP - . diana trandabat 2013-2014. the sentence as a string of words e.g i saw the lady with. STATISTICAL ANALYSIS For example, tables or graphs are used to organize data, and descriptive values such as the average score are used to summarize data. Hidden error because cant be detected without a proper power analysis. (n1 0?N) N!/(n1! Now customize the name of a clipboard to store your clips. Each step is of length, axis must be x ml where m a positive or a, Question After N steps, what is the probability. Research Scholar at Indian Institute of Technology, Madras. We've encountered a problem, please try again. Would need to do pair-wise tests. Rex Book Store ; Assessment of Learning I and II by Dr. Rosita De Guzman-Santos, LORIMAR Publishing, 2007 Ed. @ 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 &( . Ratios: if CI includes 1, then is not significant The interval contains the true population value 95% of the time. - Introduction linkage analysis, Genetic markers, mapping functions Lecture 3 Background Readings: Chapter 5 & 6 (190-193) of An introduction to Genetics, Griffiths et Chapter 15: Likelihood, Bayesian, and Decision Theory. - Chapter 9. Sometimes, u is called the 1st moment of P(u). All available places can be occupied in, Note However! I can advise you this service - www.HelpWriting.net Bought essay here. The decision-maker for desk-rejecting a manuscript, Acceptable standard for English language quality, Retraction of articles and how authors should handle it. If a confidence interval range is very wide, then plausible value might range from very low to very high. You can read the details below. If so, share your PPT presentation slides online with PowerShow.com. 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If two samples, is the same as the T test. Do not sell or share my personal information, 1. Activate your 30 day free trialto unlock unlimited reading. course overview course. 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). marcia a. testa, mph. Get powerful tools for managing your contents. types of data. Enjoy access to millions of ebooks, audiobooks, magazines, and more from Scribd. 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? Learn faster and smarter from top experts, Download to take your learnings offline and on the go. The Statistics and Methods Core supports CCPR research and training by providing expertise in the choice, development, and implementation of statistical methodology. Practical Statistics for Medical Research, Correlation Correlation Coefficient .3 Correlation Coefficient 0 Source: Altman. 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. Instant access to millions of ebooks, audiobooks, magazines, podcasts and more. Schedule Introduction Data Analysis--Introduction Data Collection Instruments Issues in Research Design Sample Size Sources of Error DESCRIPTIVE). Introduction to Statistical Computing in Clinical Research - . Many of them are also animated. The probability of stepping to, to the left is q 1 p. In general, q ? Statistical methods in NLP - . (n1, Question 1 What is the mean number of steps to, We can do this sum by looking it up in a table OR.