Functional programming, a paradigm that emphasizes declarative programming, pure functions, and limited side effects. Explore the benefits and characteristics of functional programming languages.

0 views • 20 slides

Powerful data analysis software, including data management, visualization, and statistical analysis. Seminar covers navigating Stata, data import, exploring and visualizing data, basic statistical analysis, and outputting to Word and Excel.

5 views • 126 slides

Explore how topic modeling using Stata aids in monitoring tablet-based educational interventions in Sub-Saharan Africa. Learn about the program's context, methodology, and results to enhance implementation quality. Popular

2 views • 15 slides

Stata offers a range of tools for conducting frontier efficiency and productivity assessments, including nonparametric and parametric approaches, technical efficiency modeling, different orientations in DEA, productivity estimation techniques, and popular models like MPI and MLPI. The software empow

4 views • 50 slides

This workshop, presented by Dr. Christine R. Wells from UCLA, provides an in-depth exploration of meta-analysis in Stata. Participants will learn about systematic reviews, data collection and organization, running meta-analyses, interpreting results, creating graphs, and identifying biases. The focu

2 views • 181 slides

Explore DIME Analytics' Stata command for efficiently identifying reproducibility issues in Stata code, crucial in research to meet journal-led requirements and avoid potential setbacks. Learn more about the significance of reproducibility in data analysis projects and the tools provided by DIME Ana

0 views • 30 slides

Learn about Difference in Differences analysis using Stata with Chuck Huber at the Indian Stata Conference. The presentation covers the conceptual introduction, parallel trends assumption, and more using practical examples and panel data. Download slides and resources for further exploration.

3 views • 93 slides

Q-Methodology is a research approach focusing on subjective viewpoints. This article discusses the history, goals, and steps involved in a Q-methodology study using Stata programs. It covers the development of a concourse, creation of a Q-sample, Q-sorting activities, and analysis and interpretation

5 views • 46 slides

This workshop conducted by UCLA's OARC covers essential Stata commands for preparing data sets for statistical analysis. It includes topics like inspecting and creating variables, handling missing data, merging datasets, and processing data efficiently. Participants will learn to use do-files, write

2 views • 79 slides

This content delves into Management Decision Analysis and Operations Research techniques such as Linear Programming, Integer Linear Programming, Dynamic Programming, Nonlinear Programming, and Network Programming. It covers the phases of an Operations Research study, mathematical modeling for decisi

0 views • 36 slides

Learn how to utilize the PutExcel feature in STATA to effortlessly export your results to an Excel file. With PutExcel, you can export matrices, stored results, images, estimation tables, and even add formulas for calculations. This tool streamlines the process of transferring statistical data to Ex

3 views • 32 slides

Three-way interactions in regression models add complexity to interpreting the effects of predictors. This article explains how to decompose three-way interactions in Stata, model them effectively, and assess their significance using contrast tests. Practical examples and Stata commands are provided

0 views • 17 slides

This presentation by Richard Williams from the University of Notre Dame discusses the importance of adjusted predictions and marginal effects in interpreting results. It explains factor variables, different approaches to adjusted predictions, and uses NHANES II data to demonstrate concepts. The talk

0 views • 49 slides

A comprehensive overview of artbin, a Stata package for determining sample sizes in trials with binary outcomes. This tool is essential for designing effective clinical trials across various disciplines and has recently undergone significant enhancements. Unlike other software, artbin offers a wide

1 views • 23 slides

This content discusses survival analysis using Stata, covering topics such as survival-time data, exploratory graphs, estimation, models, predictions, diagnostics, testing assumptions, and more. It explains how survival-time data is measured and discusses various examples and scenarios related to su

0 views • 83 slides

Discover how to generate PowerPoint presentations directly from Stata using Slide Deck, a suite of programs leveraging Python integration. Learn about the prerequisites, how it works, and key terminology. Follow a sample session to load economic data and save graphs for effective presentation.

0 views • 16 slides

This Module 2 focuses on PSEA and Safe Programming, covering key sessions on understanding safe programming, identifying protection and SEA risks, and mitigating risks. It emphasizes the importance of safe programming in increasing safety, dignity, and access, with staff playing a crucial role. Part

2 views • 19 slides

In this chapter, we delve into the fundamental concepts of computer programming. We explore the definition of a program, the role of programming languages, types of programming languages, and generations of programming languages. Additionally, an assignment is provided to reinforce the key learnings

0 views • 25 slides

Introducing xtsfkk, a new Stata command for fitting panel stochastic frontier models with endogeneity, offering better control for endogenous variables in the frontier and/or the inefficiency term in longitudinal settings compared to standard estimators. Learn about the significance of stochastic fr

0 views • 13 slides

Understanding simulation studies and their importance in evaluating statistical methods, this presentation delves into the precise coding techniques required in Stata to generate simulated datasets, produce estimates, and analyze performance metrics. With a focus on consistent terminology, data-gene

5 views • 18 slides

Python is a versatile programming language that supports various programming approaches. Object-Oriented Programming (OOP) is a popular method in Python where objects are created to solve programming problems. OOP in Python focuses on creating reusable code, following the principle of DRY (Don't Rep

0 views • 35 slides

This lecture covers the fundamental concepts in computer systems and programming using C++. Topics include the main components of a computer, bytes and addresses in memory, computer systems hardware and software, understanding programs, programming languages, compilers, preparing and running C++ pro

1 views • 21 slides

Stata users can enhance their coding efficiency by utilizing powerful commands that are often overlooked. This presentation showcases examples of commands that can streamline coding work, ranging from interactive use to supporting long programs. By leveraging these commands, users can avoid reinvent

0 views • 51 slides

Viera High School offers a comprehensive CTE program in Web Application Development and Programming, taught by Mr. Dohmen. Students learn popular programming languages like Python, SQL, JavaScript, Java, C#, and C. The courses cover web programming, JavaScripting, and PHP programming, providing cert

1 views • 7 slides

Programming in robotics involves giving specific directions to a robot using software like RobotC. This introduction covers the basics of programming, software organization, and how to get started with RobotC through creating flow charts and programming tasks. Learn about setting up RobotC, creating

0 views • 8 slides

Programming is the process of creating instructions for computers to follow and accomplish tasks. It involves turning human language instructions into detailed binary machine language. Before learning programming, individuals may have different levels of experience, ranging from no experience to pro

0 views • 16 slides

A comprehensive guide providing side-by-side code examples in Stata, Python, and R, facilitating easy translation between the languages. It covers setting up Python for Stata, handling dataframes, storing datasets, working with log files, merging datasets, describing and summarizing data, and more.

0 views • 21 slides

Explore the fundamentals of Stata programming, including navigating the Stata system, manipulating data, creating variables, and working with the Stata screen. Learn essential syntax rules, setting up the Do file, and accessing and managing data in Stata.

0 views • 30 slides

Attosecond generation is a crucial technique for creating attosecond pulses by manipulating radiation waves. This research paper focuses on developing the Attosecond generation equation through Verilog programming and validating it using test programming techniques. The interface between equations,

0 views • 15 slides

Explore how to use the Stata routine Repest for complex survey designs, accommodating final weights, replicate weights, and imputed variables in PISA and PIAAC data analysis. Learn to install and apply Repest to compute means of variables while accounting for sampling variance, clustering, and strat

0 views • 28 slides

Explore the benefits of prompt-based programming in easing the learning curve of Stata software. This innovative approach simplifies syntax, reduces errors, and enhances efficiency for data analysis tasks. By comparing prompt-based versus traditional syntax methods, researchers can improve their ski

0 views • 54 slides

This course overview covers topics such as C programming review, Unix basics, Unix systems programming, and grading details. The course includes labs on C/C++ programming, Unix shell scripting, and writing your own shell. Communication is emphasized through Piazza for questions/answers and Blackboar

0 views • 41 slides

Welcome to Lecture 1 of CSEP505 on Programming Languages focusing on OCaml and functional programming. Professor Dan Grossman introduces the course, discusses the importance of studying programming languages, and shares insights on course mechanics and content. Topics include staff introductions, co

0 views • 84 slides

Welcome to ITM352, a course focusing on acquiring basic programming skills in a business context. This course emphasizes hands-on experience in developing relevant software applications, addressing real technology problems, and fostering rapid self-learning of IS/IT technologies. Misconceptions arou

0 views • 36 slides

Functional programming emphasizes well-structured software that is easy to write and debug, with reusable modules to reduce future programming costs. It introduces higher-order functions and first-class function values, fostering declarative programming for tasks like symbolic data manipulation and

0 views • 21 slides

Foundational concepts in programming form the core of computing. This encompasses understanding programming fundamentals, teaching language aspects effectively, statistical programming for data analysis, and guiding students unfamiliar with programming environments towards grasping the logic and sim

0 views • 23 slides

Dive into the world of computer programming, covering high-level and machine languages, compilers, interpreters, writing programs, top-down design, and the array of programming languages available. Understand the essentials of building code to control computers, the diversity of programming language

0 views • 23 slides

Simulation studies in Stata involve using (pseudo) random numbers to generate data from a distribution for studying statistical methods. This process helps to evaluate different scenarios and understand the properties of statistical techniques. Key components like ADEMP (Aims, Data-generating mechan

0 views • 18 slides

Explore the art of crafting graph schemes in Stata presented by Tim Morris from the MRC Clinical Trials Unit at UCL. The content showcases the beauty of breaking rules in typography with insightful quotes and visual examples.

0 views • 21 slides

Learn Linux programming, C language proficiency, Bash scripting, and more in this intensive course taught by Instructor C.F. Yurkoski. The course covers programming in Linux environment, command line interface, C language, client/server programming, and essential programming concepts like pointers,

0 views • 31 slides