STATA Assignment Homework Help

Stata is a general-purpose statistical software package created in 1985 by StataCorp. It includes data management, statistical analysis, graphics, simulations, regression, and custom programming. We at www.statisticsonlineassignmenthelp have a team who has helped a number of students pursuing education through regular and online universities, institutes or online Programs. We apprehend the value of the assignment grades for students and this is why we always maintain innovation and quality within the content. Students assignments are handled by highly qualified and well experienced experts from various countries as per student’s assignment requirements.


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Following is the comprehensive list of topics under Stata in which our Experts/Tutors provide help with Assignment, Homework, Project and Online Tutoring:

  • Advanced Quantitative Methods
  • Advanced Topics in State Space Models and Dynamic Factor Analysis
  • Analysis of Variance
  • Applied Econometrics
  • Approach to Statistical Problem Solving
  • Biostatistics & Epidemiology Analysis
  • Chi-Squared Tests of Association
  • Correlation
  • Cross Sectional & Panel Data
  • Data Management and Analysis for Monitoring and Evaluation in Development
  • Data Management, Analysis, and Graphics
  • Data Management, Regression, Panel Data Analysis & Research Output
  • Dynamic Factor Models and Time Series Analysis
  • Epidemiology and Biostatistics
  • Frequency Tables and Contingency Tables
  • Linear and logistic regression models
  • Logistic Regression Models: Modeling binary, proportional and categorical response models
  • Longitudinal Data Analysis
  • Management, Analysis and Graphics of Epidemiology Data
  • MEAFA workshop on quantitative analysis
  • Measurement Scales and Reliability
  • Meta Analysis
  • Micro econometrics using Stata: Linear Models
  • Modeling count data: Understanding and modeling risk and rates
  • Multilevel & Longitudinal Modeling
  • Multilevel Modeling
  • Multivariate Methods
  • Nonparametric Methods
  • Panel Data Analysis
  • Power and Sample Size
  • Presenting and Summarizing Data
  • Propensity Score Analysis
  • Rates and survival analysis: Poisson, Cox, and parametric survival models
  • Regression and Model Building
  • Regression Models for Categorical Dependent Variables
  • Sample Size and Statistical Power
  • Stata Programming and Managing Large Datasets
  • Statistical Methods For Research
  • Survey & Panel Data Analysis
  • The Practice of Health Economics
  • Time Series Analysis and Forecasting
  • T-tests