Table of contents Methods for collecting data Examples of data collection methods Methods for analyzing data [contact-form-7 id="40123" title="Global popup two"], Effective Use of Statistics in Research Methods and Tools for Data Analysis, By clicking this checkbox you consent to receiving newsletters from Enago Academy. We've updated our privacy policy. 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. 1994. page 99 63 Tips 6 (b) P-value vs. 95CI (4) Adapted from Armitage, P. and Berry, G. Statistical methods in medical research. Can be ratio Ratio of the measures has meaning Weight, height, Types of Data Why important? STATISTICAL TOOLS NEEDED - PowerPoint PPT Presentation By whitelisting SlideShare on your ad-blocker, you are supporting our community of content creators. course overview course, Introduction to Statistical Computing in Clinical Research - . Click here to review the details. 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. Presentation Transcript. Test about a slope. ERIC - EJ1051853 - A Comparative Study on Power Point Presentation and diana trandabat 2013-2014. cky parsing. uji hipotesis. PPTX REACH Resources | Informing more effective humanitarian action 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 3. large data, Statistical Methods - . PPT - Statistical Methods PowerPoint Presentation, free download - ID Use of emergent design utilizing constant comparison and revision. - Chapter 8: Introduction to Find the lower and upper confidence limits. Ratios: if CI includes 1, then is not significant The interval contains the true population value 95% of the time. 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 Clipping is a handy way to collect important slides you want to go back to later. need to solve 1023, Quantum Schrdingers Equation ?? Research Scholar at Indian Institute of Technology, Madras. - 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. For example, suppose we measure the weight of 100 patients in a study. 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. 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. If two samples, is the same as the T test. 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. continuous blood pressure time to event. - 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. Statistical Methods in Clinical Trials - . Test to compare several means. lt(?n1)2gt (in general). 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. Enjoy access to millions of ebooks, audiobooks, magazines, and more from Scribd. collection, statistical analysis, and making appropriate inferences from the data. 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. February 13, 2010. Research, Types and objectives of research. - 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. 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. Test of Strength & Direction of Linear Relationship of 2 Quantitative Variables. DESCRIPTIVE). Statistical methods are mathematical formulas, models, and techniques that are used in statistical analysis of raw research data. When the sample size is small, the estimation and testing procedures of Chapter 8 are not appropriate. Tap here to review the details. You can read the details below. You might even have a presentation youd like to share with others. The function of statistics in research is to purpose as a tool in conniving research, analyzing its data and portrayal of conclusions there from. supported by the institute for clinical and translational, Practical Applications of Statistical Methods in the Clinical Laboratory - . The SlideShare family just got bigger. Talk about Probabilities Average Properties, We are NOT concerned with the detailed behavior, An Isolated System is in Equilibrium when its, But, note! 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. 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. Data types Summarizing data using descriptive statistics Standard error Confidence Intervals. This may lead to a negative study outcome in error. sumber: Statistical Methods in Clinical Trials II Categorical Data - . In fact, statistical methods dominate the scientific research as they include planning, designing, collecting data, analyzing, drawing meaningful interpretation and reporting of research findings. Quantitative vs. Qualitative: Methods and Process The scientific method, also known as a priori or pre-established design. 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. course overview course. Qualitative Vs. Quantitative Research A step-wise guide to conduct research. 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Instant access to millions of ebooks, audiobooks, magazines, podcasts and more. 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 . Now customize the name of a clipboard to store your clips. BIOS:6610 STATISTICAL METHODS IN CLINICAL TRIALS - . Most commonly used in assessing the estimate of the difference between two groups. Looks like youve clipped this slide to already. It's FREE! 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PowerShow.com is a leading presentation sharing website. Forget the drunk, lets get back to Physics! N atoms, each with magnetic moment . When comparing two samples, we usually cannot be sure which is going to be be better. Sample Mode Infrequently reported as a value in studies. - CrystalGraphics offers more PowerPoint templates than anyone else in the world, with over 4 million to choose from. PPT Chapter 1: Introduction to Statistics - UBalt 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 +KRs8@f Pdk )px!` mC#07jd}c^ ! the spread of the u values about the mean u. 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. d d @ @@ `` H ( c Large data sets (Corpora) of natural languages allow using statistical methods that were not possible before Brown Corpus includes about 1000000 words with POS Uploaded on Jan 02, 2020 Kimberly A Buchanan + Follow probabilities 5 chance estimating probabilities lexical categories large data sets flies 21 44 0 Introduction to Statistical Computing in Clinical Research - . Activate your 30 day free trialto unlock unlimited reading. Spies M.D., MPH Professor of Radiology Georgetown University School of Medicine Washington, DC. Tap here to review the details. Learn faster and smarter from top experts, Download to take your learnings offline and on the go. Now customize the name of a clipboard to store your clips. You can read the details below. Standard error measures the precision of the estimate of a population parameter provided by the sample mean or proportion. Click here to review the details. Princy Francis M Data presentation. Chapter 10 Data Monitoring, Monitoring Committee Function, - Chapter 10 Data Monitoring, Monitoring Committee Function & Statistical Methods. The probability of stepping to, to the left is q 1 p. In general, q ? (PDF) Use of Statistics in Research 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. (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. 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. Statistics presents a rigorous scientific method for gaining insight into data. 2023 SlideServe | Powered By DigitalOfficePro, - - - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - - -. 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. It appears that you have an ad-blocker running. Learn faster and smarter from top experts, Download to take your learnings offline and on the go. 1994. page 99 There were statistically significant different 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). Is the most common value More frequently used to describe the distribution of data Uni-modal, bi-modal, etc. We've updated our privacy policy. We've encountered a problem, please try again. (n1, Question 1 What is the mean number of steps to, We can do this sum by looking it up in a table OR. 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. 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. By accepting, you agree to the updated privacy policy. Tap here to review the details. Rex Book Store ; Assessment of Learning I and II by Dr. Rosita De Guzman-Santos, LORIMAR Publishing, 2007 Ed. Clinical Research Methods - . ? B^uuhm?}{].~}v_J;xogJY]@.)oqC? Would need to do pair-wise tests. 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 ? august 12, 2009. 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 ? The Statistics and Methods Core supports CCPR research and training by providing expertise in the choice, development, and implementation of statistical methodology. 12.1 - Summary of Statistical Techniques | STAT 500 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. Activate your 30 day free trialto continue reading. Blackwell Scientific Publications, Oxford. 8p" O . R $ i4N5y } R $ `N%L B RX R $ M>3O'2 X R $ 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. 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. 2. {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 Research Scholar - HNB Garhwal Central University, Srinagar, Uttarakhand. Then you can share it with your target audience as well as PowerShow.coms millions of monthly visitors. al. P values, Statistical Methods in Clinical Research James B. u " Sample Mean Most commonly used measure of central tendency Best applied in normally distributed continuous data. ziad taib biostatistics astrazeneca february 22, 2012. types of data. @ n ? " Data presentation is an extension of data cleaning, as it involves arranging the data for easy analysis. Statistical analysis - SlideShare Confidence Intervals May be used to assess a single point estimate such as mean or proportion. Activate your 30 day free trialto continue reading. Also called a error. ? Example: A company advertises the net weight of its cereal is 24 ounces. You can read the details below. Explanatory & Response Variable in Statistics A quick guide for early career researchers! PPT - Applications of Statistics in Research PowerPoint Presentation # $ % & ' ( ) * + , - . 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. Instant access to millions of ebooks, audiobooks, magazines, podcasts and more. (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! If it appears they are not from same population, cant tell which sample is different. 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. 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. For qualitative data, you can use methods such as thematic analysis to interpret patterns and meanings in the data. This analysis doesnt take into. Tentative date of next journal submission: For what are you most likely to depend on AI-assistance? Instant access to millions of ebooks, audiobooks, magazines, podcasts and more. We had, m n1 n2 2n1 N. So, ltmgt 2ltn1gt, ?m m - ltmgt (2n1 N) (2ltn1gt - N) 2(n1, (?m)2 4(?n1)2. Free access to premium services like Tuneln, Mubi and more. 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? The SlideShare family just got bigger. Click here to review the details. PPT - Research Methods PowerPoint Presentation, free download - SlideServe 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. 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 (!) For the, Again note that ltn1gt Np. It appears that you have an ad-blocker running. Activate your 30 day free trialto continue reading. The aim of this study was to compare PPT and traditional lecture method in material understandability, effectiveness and attitude among university students. They are all artistically enhanced with visually stunning color, shadow and lighting effects. Statistical Issues Designing Clinical Research - . Free access to premium services like Tuneln, Mubi and more. 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. PowerShow.com is brought to you byCrystalGraphics, the award-winning developer and market-leading publisher of rich-media enhancement products for presentations. PPT Quantitative Methods - LSU Ratio of two interval data points has no meaning Temperature in celsius, day of the year). 4. Zhi Chen - Milwaukee, Wisconsin, United States - LinkedIn Analysis of Variance Used to determine if two or more samples are from the same population- the null hypothesis. If a confidence interval range is very wide, then plausible value might range from very low to very high. STATISTICAL ANALYSIS Many studies are completed without proper estimate of appropriate study size. Statistics in research - SlideShare
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