# Exploring Survey Data on Health Care

- Institution: IIT Roorkee
- Department: Humanities and Social Sciences
- Teacher: Prof. Pratap C. Mohanty
- Level: Undergraduate
- Language: English
- Subjects: Society and politics
- Source: [NPTEL](https://nptel.ac.in/courses/109107190)
- Licence: [CC BY-NC-SA](https://nptel.ac.in/faq) (Non-commercial use only.)
- Syllabus: [at the source](https://nptel.ac.in/courses/109107190)
- Who can watch: Teens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

## Lectures

1. [Lecture 01 : Problem Statement and Research Questions](https://invisiblenetwork.ai/learn/nptel/109107190/3984da6962c2) (Video)
2. [Lecture 02: Data, Measurement and Scaling](https://invisiblenetwork.ai/learn/nptel/109107190/ae43136d3f59) (Video)
3. [Lecture 03 : Understanding Healthcare Database : NSSO](https://invisiblenetwork.ai/learn/nptel/109107190/0329a87805e6) (Video)
4. [Lecture 04: Understanding Healthcare Database: NFHS](https://invisiblenetwork.ai/learn/nptel/109107190/e2e593022ec5) (Video)
5. [Lecture 05: Understanding Healthcare Database: LASI](https://invisiblenetwork.ai/learn/nptel/109107190/647e2d01158a) (Video)
6. [Lecture 06: Understanding Sampling Base and Design](https://invisiblenetwork.ai/learn/nptel/109107190/8fd6f87bd507) (Video)
7. [Lecture 07: Preparing Schedule and Questionnaire](https://invisiblenetwork.ai/learn/nptel/109107190/20bb7be0293e) (Video)
8. [Lecture 08: Sample Size Determination - Observational Study](https://invisiblenetwork.ai/learn/nptel/109107190/0f135844aa86) (Video)
9. [Lecture 09 : Sample Size Determination and Probability Proportional to Size Sampling](https://invisiblenetwork.ai/learn/nptel/109107190/f1a3e505bebd) (Video)
10. [Lecture 10: Focus Group Discussion (FGD)](https://invisiblenetwork.ai/learn/nptel/109107190/c784d41bd7ef) (Video)
11. [Lecture 11: Pre-testing of Sample](https://invisiblenetwork.ai/learn/nptel/109107190/f8ca28bbf0f1) (Video)
12. [Lecture 12 : Weights and Representative Sampling](https://invisiblenetwork.ai/learn/nptel/109107190/fb03ba834b8c) (Video)
13. [Lecture 13 : Normalizing Data](https://invisiblenetwork.ai/learn/nptel/109107190/d469221dcd2f) (Video)
14. [Lecture 14: Deal with Missing Values](https://invisiblenetwork.ai/learn/nptel/109107190/3c311c7465f2) (Video)
15. [Lecture 15 : Validity, Reliability, Accuracy and Precision of Sample](https://invisiblenetwork.ai/learn/nptel/109107190/122f07b8123d) (Video)
16. [Lecture 16 : Basic Understanding of STATA](https://invisiblenetwork.ai/learn/nptel/109107190/fa03cbab7d71) (Video)
17. [Lecture 17: Syntax and Do File](https://invisiblenetwork.ai/learn/nptel/109107190/867d520ef88f) (Video)
18. [Lecture 18 : Making Dictionary File](https://invisiblenetwork.ai/learn/nptel/109107190/2b5a8961acd6) (Video)
19. [Lecture 19 : Data Browse and Basic Statistic - I](https://invisiblenetwork.ai/learn/nptel/109107190/ad5e578b7176) (Video)
20. [Lecture 20: Data Browse and Basic Statistics -II](https://invisiblenetwork.ai/learn/nptel/109107190/c782e67efc22) (Video)
21. [Lecture 21:Basic Understanding of SPSS and Data Filtration in STATA](https://invisiblenetwork.ai/learn/nptel/109107190/f45403158694) (Video)
22. [Lecture 22: Data Extraction from ASCII Format](https://invisiblenetwork.ai/learn/nptel/109107190/82a45bb8b378) (Video)
23. [Lecture 23: Merging Blocks of Information after Extraction](https://invisiblenetwork.ai/learn/nptel/109107190/b28f6b270b64) (Video)
24. [Lecture 24: Composite Index](https://invisiblenetwork.ai/learn/nptel/109107190/2fc83073828b) (Video)
25. [Lecture 25: Measure of Variation- r2, R2, Adjusted R2, Pseudo R2](https://invisiblenetwork.ai/learn/nptel/109107190/a97c0789e426) (Video)
26. [Lecture 26: Regression Models of Quantitative Healthcare Variables](https://invisiblenetwork.ai/learn/nptel/109107190/e73ddfc0ab39) (Video)
27. [Lecture 27: Regression Models of Qualitative Dependent Variables](https://invisiblenetwork.ai/learn/nptel/109107190/4a1e8e953335) (Video)
28. [Lecture 28: Relative Risk Ratio Estimation](https://invisiblenetwork.ai/learn/nptel/109107190/1157d441acce) (Video)
29. [Lecture 29: Generalized Linear Model](https://invisiblenetwork.ai/learn/nptel/109107190/8f050f5df31f) (Video)
30. [Lecture 30: Independence of Irrelevant ALternatives](https://invisiblenetwork.ai/learn/nptel/109107190/eac246bd011e) (Video)
31. [Lecture 31: Balanced and Unbalanced Panel in Healthcare](https://invisiblenetwork.ai/learn/nptel/109107190/f27bf33488bf) (Video)
32. [Lecture 32: Common Constant Model in Healthcare](https://invisiblenetwork.ai/learn/nptel/109107190/4fcde719d75a) (Video)
33. [Lecture 33: Fixed Effect Model in Healthcare](https://invisiblenetwork.ai/learn/nptel/109107190/85278947fa45) (Video)
34. [Lecture 34: Random Effect Model in Healthcare](https://invisiblenetwork.ai/learn/nptel/109107190/23c397bfbb27) (Video)
35. [Lecture 35: Construction of Pseudo Panel](https://invisiblenetwork.ai/learn/nptel/109107190/d52942f26188) (Video)
36. [Lecture 36: Need for Evaluation](https://invisiblenetwork.ai/learn/nptel/109107190/223576f9c948) (Video)
37. [Lecture 37: Propensity Score Matching (PSM)](https://invisiblenetwork.ai/learn/nptel/109107190/095aff259952) (Video)
38. [Lecture 38: Difference-in-Difference Method (DID)](https://invisiblenetwork.ai/learn/nptel/109107190/fcbda7dd9b5d) (Video)
39. [Lecture 39: Randomized Control Trial (RCT)](https://invisiblenetwork.ai/learn/nptel/109107190/b8fe885952f3) (Video)
40. [Lecture 40: Regression Discontinuity Method](https://invisiblenetwork.ai/learn/nptel/109107190/55484fc5f669) (Video)