PPT-Sample SIZe for Non-INFERIORITY Studies

Design and Endpoint Considerations Demonstrated on Head of Statistics nQuery Lead Researcher FDA Guest Speaker Guest Lecturer Webinar Host HOSTED BY Ronan Fitzpatrick AGENDA Introduction to Noninferiority Testing. brPage 1br Sample brPage 2br Sample brPage 3br Sample brPage 4br Sample brPage 5br Sample brPage 6br Sample brPage 7br Sample brPage 8br Sample x x x x 5 CC 35 100 100 CC brPage 4br brPage 5br brPage 6br 8486 brPage 7br brPage 8br SUPPLY CURRENT mA 08 06 04 02 10 20 040 SUPPLY VOLTAGE V amb 7057520C amb 12557520C amb 057520C amb 2557520C amb 5557520C INPUT CURRENT nA 20 10 20 040 SUPPLY VOLTAGE V REVIEW Estudos cl Presented by :Dr. . Reshma.S. . Moderator : Dr. . Subodh. S Gupta. Why do we need sample size calculation?. When should we calculate sample size?. Basic principles for sample size calculation. Derivation of sample size formula. 2016. Youngju Pak, PhD.. Biostatistician. ypak@labiomed.org. Session . 2. Understanding Equivalence and . Noninferiority. testing. Testing Inequality . v.s. . Equality. Testing Inequality. Ha: | mean(treatment ) - mean (control ) | ≠ 0. Objectives:. The learner will read about Alfred Adler and summarize his theory of personality. . Quick Write... Write about something you are really good at.. What is it?. What makes you good at it?. Manual. GrowingKnowing.com © 2011. 1. GrowingKnowing.com © 2011. Sample size. How big should a sample be for a valid study?. Why phone 10,000 students if phoning 50 is enough?. Large samples take longer and cost more. 1. GrowingKnowing.com © 2011. Sample size. How big should a sample be for a valid study?. Why phone 10,000 students if phoning 50 is enough?. Large samples take longer and cost more. What if a sample of 50 is not enough, you need 51 for a valid study?. Was born “skinny, weak, and sickly” (from undiagnosed conditions).. Became a medical doctor, and his first interest was in organ inferiority and compensation. . Compensation – adjusting to weaknesses by developing other strengths.. . SYFTET. Göteborgs universitet ska skapa en modern, lättanvänd och . effektiv webbmiljö med fokus på användarnas förväntningar.. 1. ETT UNIVERSITET – EN GEMENSAM WEBB. Innehåll som är intressant för de prioriterade målgrupperna samlas på ett ställe till exempel:. attached to them The computer using a procedure called random digit dialing RDD actually creates phone numbers from those exchanges then generates telephone samples from those In essence this procedur artbin. ). Ella Marley-Zagar, Ian . White. , . Mahesh . Parmar, Patrick Royston, . Abdel Babiker. e.marley-zagar@ucl.ac.uk. MRC Clinical Trials Unit at UCL. “London” Stata Conference. 9. . September . Design considerations and sample size. Demonstrated on . Head of Statistics. nQuery. Lead Researcher. FDA Guest Speaker. Guest Lecturer. Webinar Host. HOSTED BY: . Ronan Fitzpatrick. AGENDA. Background. Binary, Ordinal and . Contingency Table Data. Ronan Fitzpatrick. Lead Statistician. nQuery. Webinar. Host. Agenda. Categorical Data Overview. Binary Data Methods & Sample Size. Ordinal Data Methods & Sample Size.