- Exploring Data and Descriptive Statistics (using R)
- Effect Size Calculator - Good Calculators
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- Standard Error Calculator - Good Calculators
- FlexPro, the analysis software for fast and easy data ...
- Logistic Regression Stata Data Analysis Examples

Data analysis Powerful Powerful Powerful/versatile Powerful/versatile Graphics Very good Very good Good Excellent Cost Affordable (perpetual licenses, renew only when upgrade) Expensive (but not need to renew until upgrade, long term licenses) Expensive (yearly renewal) Open source Program extensions *.do (do-files) *.sps (syntax files) *.sas *.txt (log files) Output extension *.log (text file ... Use analysis and presentation templates from the extensive FlexPro library and start analyzing your data with just one click! Modify the analysis procedure and immediately see the effect on the results. Create individual templates and share them over your network. Quickly Analyze Multi-Channel Data . Temperature, acceleration, strain are just some examples of quantities that are usually ... You can use this effect size calculator to quickly and easily determine the effect size (Cohen's d) according to the standard deviations and means of pairs of independent groups of the same size. How to use this calculator: Take each group (Group 1 and Group 2) and input sample means (M 1, M 2) and sample standard deviations (SD 1, SD 2). I have a sample of 30 to measure the factors constraining to the adoption of technology. I am thinking to run regression analysis to adoption rate ( if it is more that 50% considered as 1 and less than 50 is 0 taking 50 percent adoption as threshold limit). to measure the constraining factors , I used the 5 point likert scale. (highly ... A collection of really good online calculators for use in every day domestic and commercial use! Version info: Code for this page was tested in Stata 12. Logistic regression, also called a logit model, is used to model dichotomous outcome variables. In the logit model the log odds of the outcome is modeled as a linear combination of the predictor variables. Please note: The purpose of this page is to show how to use various data analysis ... We can also calculate the correlation between more than two variables. Definition 1: Given variables x, y and z, we define the multiple correlation coefficient. where r xz, r yz, r xy are as defined in Definition 2 of Basic Concepts of Correlation.Here x and y are viewed as the independent variables and z is the dependent variable.. We also define the multiple coefficient of determination to ...

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Learn how to do a sample size calculation for comparing sample proportions from two independent samples in terms of odds ratios using Stata. Copyright 2011-2... John Castelloe presents two examples of performing power and sample size analysis for survival analyses by using SAS/STAT software’s POWER Procedure. SUBSCRI... STATA 20_Power and Sample-Size Analysis โดย ดร.ฐณัฐ วงศ์สายเชื้อ (Thanut Wongsaichue, Ph.D.) เนื้อหาที่ upload แล้ว ... Determining the appropriate number of events needed for survival analysis is a complex task as study planners try to predict what sample size will be needed after accounting for the complications ... nQuery Advisor can easily calculate sample size for survival analysis. Stata 14 adds six new methods for computing power and sample size for contingency tables and survival analysis. In this video, we take you on a brief tour of... Power and Sample Size Calculations for Survival Analysis In this webinar you will learn about: Why Survival Analysis planning requires a different approach: ...

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