Videos Want to learn more about D4I? Watch our videos from the playlist below or visit our Vimeo channel. Moldova Data Review Room launches EN-MINI video infographic Interrupted Time Series Video Tutorial series Interrupted Time Series Video Tutorial: Part 1 Interrupted Time Series Video Tutorial: Part 2 Interrupted Time Series Video Tutorial: Part 3 Logistic Regression Tutorial Bangladesh Adolescent Health and Wellbeing Survey 2019-20 dissemination seminar series Dissemination Seminar on Bangladesh Adolescent Health and Wellbeing Survey 2019-20: Part 1 Dissemination Seminar on Bangladesh Adolescent Health and Wellbeing Survey 2019-20: Part 2 Dissemination Seminar on Bangladesh Adolescent Health and Wellbeing Survey 2019-20: Part 3 Bangladesh Adolescent Health and Wellbeing Survey 2019-20 Dissemination Seminar Series EN-MINI Video Infographic Moldova Data Review Room Launches Video Tutorials: Statistical Methods When Using Routine Data in Evaluation Time series analysis is a statistical technique used for trend analysis or time series data. As the name implies, time is an important factor. Time is often the independent variable and can be monthly, weekly, daily, annual or even biennial. This method is useful for aggregate level analysis such as social statistics including divorce rates, crime rates and often useful in evaluating the impact of social or political policies. In some instances, time series has been used for forecasting where historical values and associated patterns have been used to predict future activity. Gender Matters
Video Tutorials: Statistical Methods When Using Routine Data in Evaluation Time series analysis is a statistical technique used for trend analysis or time series data. As the name implies, time is an important factor. Time is often the independent variable and can be monthly, weekly, daily, annual or even biennial. This method is useful for aggregate level analysis such as social statistics including divorce rates, crime rates and often useful in evaluating the impact of social or political policies. In some instances, time series has been used for forecasting where historical values and associated patterns have been used to predict future activity.
