statistical methods in research ppt

As N increases, the mean value increases ? course overview course. By accepting, you agree to the updated privacy policy. The SlideShare family just got bigger. But m 2n1 N, so n1 ()(N, n2 N - n1 ()(N - m). - Introduction to Statistics 1.1 An Overview of Statistics 1.2 Data Classification 1.3 Experimental Design * Larson/Farber 4th ed. Instant access to millions of ebooks, audiobooks, magazines, podcasts and more. Activate your 30 day free trialto unlock unlimited reading. need to solve 1023, Quantum Schrdingers Equation ?? 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. gordon c. nagayama hall 355 straub phone: 346-4969 e-mail: Clinical Research Methods - . > @=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 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. Talk about Probabilities Average Properties, We are NOT concerned with the detailed behavior, An Isolated System is in Equilibrium when its, But, note! Chapter 2 - Summary. We've encountered a problem, please try again. Walker, Glenn A., and Jack Shostak. Learn faster and smarter from top experts, Download to take your learnings offline and on the go. Clinical Research Methods - . # $ % & ' ( ) * We've encountered a problem, please try again. 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 . 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%). Ist Yr MSc(N) Power is the ability of a study to avoid a Type II error. By accepting, you agree to the updated privacy policy. 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. For example, tables or graphs are used to organize data, and descriptive values such as the average score are used to summarize data. Each step is of length, axis must be x ml where m a positive or a, Question After N steps, what is the probability. 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 Most commonly used in assessing the estimate of the difference between two groups. Table of contents Methods for collecting data Examples of data collection methods Methods for analyzing data We've encountered a problem, please try again. So, the relative, ? 10. Remember there is variability among samples- they might seem to come from different populations but they may not. The PowerPoint PPT presentation: "Chapter 1: Introduction to Statistical Methods" is the property of its rightful owner. 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. lt(?n1)2gt (in general). need to solve. 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.. Create stunning presentation online in just 3 steps. Learn faster and smarter from top experts, Download to take your learnings offline and on the go. So, lt(?m)2gt 4lt(?n1)2gt, Summary 1 Dimensional Random Walk Problem, Probability Distribution is Binomial WN(n1), Mean number of steps to the right ltn1gt Np. For example, suppose we measure the weight of 100 patients in a study. N atoms, each with magnetic moment . 5. Similarly, we can, Of course, ltn1gt ltn2gt N(p q) N as it. august 12, 2009. The independent variable usually occurs earlier in time than the dependent variables. Get powerful tools for managing your contents. More than one method is . Activate your 30 day free trialto unlock unlimited reading. 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 (!) Our product offerings include millions of PowerPoint templates, diagrams, animated 3D characters and more. Click here to review the details. Looks like youve clipped this slide to already. - Chapter 10: Inference from Small Samples Introduction When the sample size is small, the estimation and testing procedures of Chapter 8 are not appropriate. ? The aim of this study was to compare PPT and traditional lecture method in material understandability, effectiveness and attitude among university students. When designing a study, one needs to determine how large a study is needed. Not applicable in categorical data Definition: Sum of all the values in a sample, divided by the number of values. 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. This may lead to a negative study outcome in error. Winner of the Standing Ovation Award for Best PowerPoint Templates from Presentations Magazine. 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. sumber: Statistical Methods in Clinical Trials II Categorical Data - . Research, Types and objectives of research. Medical Statistics Made Easy, Correlation Perfect Correlation Source: Altman. (n1, Question 1 What is the mean number of steps to, We can do this sum by looking it up in a table OR. continuous blood pressure time to event. ! " Practical Statistics for Medical Research. CCPR offers "drop-in" statistical consulting services to meet short-term needs of CCPR affiliates. Practical Statistics for Medical Research, Correlation Correlation Coefficient .7 Correlation Coefficient -.5 Source: Altman. Sample size for proportions Stata input: Mean 1 = .2, mean 2 = .3, = .05, power (1-) =.8. Instant access to millions of ebooks, audiobooks, magazines, podcasts and more. Do you have PowerPoint slides to share? The goal of statistics is to help researchers organize and interpret the data. > g Applications of Statistics in Research Bandit Thinkhamrop, Ph.D. (Statistics) Department of Biostatistics and Demography Faculty of Public Health Khon Kaen University. roger l. bertholf, ph.d., dabcc associate, Statistical Methods - . B^uuhm?}{].~}v_J;xogJY]@.)oqC? biostatistics 212 lecture 1. today. 3. Data types Summarizing data using descriptive statistics Standard error Confidence Intervals. The sample is chosen by selecting a random starting point and then picking every i th element in succession from the sampling frame. charles e. mcculloch division of biostatistics. 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So, we need to divide the result by n1!n2! Statistical methods in NLP - . Sz_]WMi4}S:4c_KC%. - CHAPTER 3 Review of Statistics INTRODUCTION The creation of histograms and probability distributions from empirical data. Now customize the name of a clipboard to store your clips. REACH Resources | Informing more effective humanitarian action - 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. It appears that you have an ad-blocker running. Statistical methods in medical research. Standard error measures the precision of the estimate of a population parameter provided by the sample mean or proportion. d d @ @@ `` H ( c 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. Now customize the name of a clipboard to store your clips. Now customize the name of a clipboard to store your clips. }>@X'- (W? vORv[K? Ratios: if CI includes 1, then is not significant The interval contains the true population value 95% of the time. Confidence Intervals Commonly reported in studies to provide an estimate of the precision of the mean. Analysis of Variance Used to determine if two or more samples are from the same population- the null hypothesis. 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. Introduction to Statistical Computing in Clinical Research - . We've encountered a problem, please try again. It appears that you have an ad-blocker running. Looks like youve clipped this slide to already. dev. Whatever your area of interest, here youll be able to find and view presentations youll love and possibly download. descriptive statistics inferential statistics. February 13, 2010. You can read the details below. DESCRIPTIVE). Overview. Clipping is a handy way to collect important slides you want to go back to later. BIOS:6610 STATISTICAL METHODS IN CLINICAL TRIALS - . Test to compare two means (independent) Test to compare two means (paired) Test to compare two proportions. It's FREE! ; The sampling interval, i, is determined by dividing the population size N by . 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. 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. Free access to premium services like Tuneln, Mubi and more. Standard Error Significance: Is the basis of confidence intervals A 95% confidence interval is defined by Sample mean (or proportion) 1.96 X standard error Since standard error is inversely related to the sample size: The larger the study (sample size), the smaller the confidence intervals and the greater the precision of the estimate. Quantitative vs. Qualitative: Prototypical Studies Experimental or correlational designs are used to reduce error, bias and the influence of extraneous . No problem. Explanatory & Response Variable in Statistics A quick guide for early career researchers! 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. ` / 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 @ . 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. gordon c. nagayama hall 355 straub phone: 346-4969 e-mail: gnhall@darkwing.uoregon.edu. Clipping is a handy way to collect important slides you want to go back to later. Looks like youve clipped this slide to already. For the, Again note that ltn1gt Np. 3 !1AQa"q2B#$Rb34rC%Scs5&DTdEt6UeuF'Vfv7GWgw 5 !1AQaq"2B#R3$brCScs4%&5DTdEU6teuFVfv'7GWgw ? I can advise you this service - www.HelpWriting.net Bought essay here. Introduction to Statistical Computing in Clinical Research - Today. course overviewcourse objectivescourse details: AAEC 4302 STATISTICAL METHODS IN AGRICULTURAL RESEARCH - . 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. Comparative descriptive survey research design was employed to answer the research questions raised. Learn faster and smarter from top experts, Download to take your learnings offline and on the go. (Ensemble the French word for assembly). 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. Chapter 10 Data Monitoring, Monitoring Committee Function, - Chapter 10 Data Monitoring, Monitoring Committee Function & Statistical Methods. 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. Blackwell Scientific Publications, Oxford. - STAT 13, UCLA, Ivo Dinov. Sample Mode Infrequently reported as a value in studies. course overview course, Introduction to Statistical Computing in Clinical Research - . 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. The SlideShare family just got bigger. Use a Statistical description of such a system. allen s chapter 7 j&m s chapters 8 and 12. statistical methods. The probability of stepping to, to the left is q 1 p. In general, q ? marcia a. testa, mph. / 0 1 2 3 4 5 6 7 8 9 : ; = > ? 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 ? diana trandabat 2013-2014. the sentence as a string of words e.g i saw the lady with. And theyre ready for you to use in your PowerPoint presentations the moment you need them. 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. 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. Many studies are completed without proper estimate of appropriate study size. UCLA STAT 13. Here, you can use descriptive statistics tools to summarize the data. P Values and Confidence Intervals P values provide less information than confidence intervals. 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. We've updated our privacy policy. Clinical Investigation and Outcomes Research Statistical Issues in Designing Clinical Research - . 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. N. lt(?m)2gt lt(m - ltmgt)2gt in the net displacement? This course The Physics of systems containing, Classical Newtons Laws ?? And, again, its all free. We've updated our privacy policy. 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. Hidden error because cant be detected without a proper power analysis. 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. 2. 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. 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. Free access to premium services like Tuneln, Mubi and more. If a confidence interval range is very wide, then plausible value might range from very low to very high. By whitelisting SlideShare on your ad-blocker, you are supporting our community of content creators. u " ? - Chapter 8: Introduction to Find the lower and upper confidence limits. Chapter 1 Introduction. (n1 0?N) N!/(n1! 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). For qualitative data, you can use methods such as thematic analysis to interpret patterns and meanings in the data.

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