Notice: Function _load_textdomain_just_in_time was called incorrectly. Translation loading for the jetpack domain was triggered too early. This is usually an indicator for some code in the plugin or theme running too early. Translations should be loaded at the init action or later. Please see Debugging in WordPress for more information. (This message was added in version 6.7.0.) in /home/urbanana/public_html/wp-includes/functions.php on line 6114

Warning: Cannot modify header information - headers already sent by (output started at /home/urbanana/public_html/wp-includes/functions.php:6114) in /home/urbanana/public_html/wp-includes/feed-rss2.php on line 8
data science – Urban Analytics Institute https://urbananalyticsinstitute.com Sun, 18 Aug 2024 21:34:07 +0000 en-CA hourly 1 https://wordpress.org/?v=6.7.5 https://urbananalyticsinstitute.com/wp-content/uploads/2024/08/cropped-1-1-modified-removebg-preview-150x150.png data science – Urban Analytics Institute https://urbananalyticsinstitute.com 32 32 Meta Analysis: A Tool to ‘settle’ disputes in empirical studies https://urbananalyticsinstitute.com/meta-analysis-a-tool-to-settle-disputes-in-empirical-studies/ Sun, 05 Mar 2023 19:17:01 +0000 https://urbananalyticsinstitute.com/?p=381 The UAI hosted a webinar on Meta Analysis USing Stata on Wednesday, March 1. The webinar was conducted by Dr. Chuck Huber, who is the Director of Statistical Outreach at StataCorp and Adjunct Associate Professor of Biostatistics at the Texas A&M School of Public Health as well as the Biostatistics Department at the New York University’s School of Global Public Health.  To watch the recording of the webinar, please click HERE.

Meta-analysis is a statistical technique for combining the results from multiple similar studies. The talk will provide a brief introduction to meta-analysis and will demonstrate how to perform meta-analysis in Stata. The -meta- command offers full support for meta-analysis, from computing various effect sizes and producing basic meta-analytic summaries and forest plots to accounting for between-study heterogeneity and potential publication bias. Examples demonstrating how to conduct meta-analysis within Stata will be provided. These examples will focus on the interpretation of meta-analysis under various models, meta-regression, subgroup analysis, small-study effects and publication bias, and various types of forest, funnel, and other plots.

]]> Statistics with Python https://urbananalyticsinstitute.com/statistics-with-python/ Mon, 02 Nov 2020 14:29:22 +0000 https://urbananalyticsinstitute.com/?p=345 UAI’s Murtaza Haider is now offering a course on Statistics for Data Science with Python on Coursera. The course is a collaboration with IBM’s Data Science Team and is part of the Data Science certification available from IBM.

This Statistics for Data Science course is designed to introduce learners to the basic principles of statistical methods and procedures used for data analysis. After completing this course learners will have practical knowledge of crucial topics in statistics including – data gathering, summarizing data using descriptive statistics, displaying and visualizing data, examining relationships between variables, probability distributions, expected values, hypothesis testing, introduction to ANOVA (analysis of variance), regression and correlation analysis. You will take a hands-on approach to statistical analysis using Python and Jupyter Notebooks – the tools of choice for Data Scientists and Data Analysts.

]]>