RStats Statistics and Research Camp 2014. Welcome!. Helen Reid, PhD. Dean of the College of Health and Human Services Missouri State University. Welcome. Goal : keeping up with advances in quantitative methods Best practices : use familiar tools in new situations Avoid common mistakes.
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Statistical Methods in Clinical Research. James B. 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
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Introduction to Evidence Based Medicine. Bradford S. Pontz, M.D. Assistant Professor of Medicine Georgetown University Medical Center. Patient W.R. 55 year old healthy male presents with 3 days right-sided back pain, 2 days rash Exam shows vesicular lesions
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What Types of Events Provide the Strongest Evidence that the Stock Market is Affected by Company Specific News Calum Robertson, Shlomo Geva, Rodney Wolff AusDM2006 Outline Introduction Data Methodology Results Conclusions and Future Work Outline Introduction Data Methodology Results
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Essentials of Marketing Research William G. Zikmund. Chapter 14: Basic Data Analysis. Tabulation. Frequency table Percentages. Measure of Central Measure of Type of Scale Tendency Dispersion Nominal Mode None Ordinal Median Percentile
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Chapter 9 Hypothesis Testing. 9.1 The Language of Hypothesis Testing. Example: Illustrating Hypothesis Testing.
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Chapter 20 Testing Hypothesis about proportions. Example: Metal Manufacturer Ingots 20% defective (cracks) After Changes in the casting process: 400 ingots and only 17% defective Is this a result of natural sampling variability or there is a reduction in the cracking rate?. Hypotheses.
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GOG0182-ICON5: Phase III Randomized Trial of Paclitaxel and Carboplatin vs Combinations with Gemcitabine, PEG-Lipososomal Doxorubicin, or Topotecan in Patients with Advanced-Stage Epithelial Ovarian or Primary Peritoneal Carcinoma. Michael A Bookman, MD on behalf of GCIG, including
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Hypothesis Test ing (Cont.). Null Hypothesis. Decision. True. False. Fail to reject. Type A correct decision. Type II error. H. o. Reject. H. Type I error. Type B correct decision. o. Hypothesis Test Outcomes. Type A correct decision: Null hypothesis true, decide in its favor.
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First 3 Steps to conduct research. 1. Generate idea 2. Review literature Review related theories 3. Develop research questions Develop testable hypotheses. Steps to conduct research -- continued. 4. Choose research design (experimental, non-, quasi-, etc.)
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Statistical vs Clinical Significance. Will G Hopkins Auckland University of Technology Auckland, NZ. Other titles: Statistical vs clinical, practical, or mechanistic significance. A more meaningful way to make inferences from a sample.
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Chi-Square Test. Dr Kishor Bhanushali. Chi-Square Test. Chi-square, symbolically written as ?2 (Pronounced as Ki -square), is a statistical measure used in the context of sampling analysis for comparing a variance to a theoretical variance.
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Testing models against data. Bas Kooijman Dept theoretical biology Vrije Universiteit Amsterdam Bas@bio.vu.nl http://www.bio.vu.nl/thb. master course WTC methods Amsterdam, 2005/11/02. Kinds of statistics 1.2.4. Descriptive statistics sometimes useful, frequently boring
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Population Sampling in Research . PE 357. Participants?. The research question will dictate the type of participants selected for the study Also need to match the participants to the instrumentation and methods. How Many Participants.
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SOC 3811 Basic Social Statistics. Reminder. Hand in your Assignment 4. Class overview Compare means of two groups. Dummy variable regression model Two sample t-test Group exercise. Dummy Regression Model. Do men and women have different wages? H o : = 0 H a : ? 0
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Plant Productivity Crystal, Barney, Nate, Rachael, Cameron, and Puja Atlantic Forest, Brazil SEE-U 2000 Introduction Plants allocate their energy and resources in a manner that is conducive for efficient growth
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Ch. 28 Chi-square test Used when the data are frequencies (counts) or proportions for 2 or more groups. Example 1 5. Calculate ((observed-expected)^2) expected 6. Calculate Chi-square = sum of the values from step 5. The degrees of freedom =
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Ch. 26 Tests of significance. Example: Goal: Decide if a die is fair. Procedure: Roll a die 100 times and count the number of dots. We observe 368 total dots in 100 rolls. Chance model: If the die is fair, Box model Average SD of box EVsum SEsum.
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