NPTEL : NOC:Exploring Survey Data on Health Care (Humanities and Social Sciences)

Co-ordinators : Prof. Pratap C. Mohanty


Lecture 1 - Problem Statement and Research Questions

Lecture 2 - Data, Measurement and Scaling

Lecture 3 - Understanding Healthcare Database: NSSO

Lecture 4 - Understanding Healthcare Database: NFHS

Lecture 5 - Understanding Healthcare Database: LASI

Lecture 6 - Understanding Sampling Base and Design

Lecture 7 - Preparing Schedule and Questionnaire

Lecture 8 - Sample Size Determination - Observational Study

Lecture 9 - Sample Size Determination and Probability Proportional to Size Sampling

Lecture 10 - Focus Group Discussion (FGD)

Lecture 11 - Pre-testing of Sample

Lecture 12 - Weights and Representative Sampling

Lecture 13 - Normalizing Data

Lecture 14 - Deal with Missing Values

Lecture 15 - Validity, Reliability, Accuracy and Precision of Sample

Lecture 16 - Basic Understanding of STATA

Lecture 17 - Syntax and Do File

Lecture 18 - Making Dictionary File

Lecture 19 - Data Browse and Basic Statistics - I

Lecture 20 - Data Browse and Basic Statistics - II

Lecture 21 - Basic Understanding of SPSS and Data Filtration in STATA

Lecture 22 - Data Extraction from ASCII Format

Lecture 23 - Merging Blocks of Information after Extraction

Lecture 24 - Composite Index

Lecture 25 - Measure of Variation- r2, R2, Adjusted R2, Pseudo R2

Lecture 26 - Regression Models of Quantitative Healthcare Variables

Lecture 27 - Regression Models of Qualitative Dependent Variables

Lecture 28 - Relative Risk Ratio Estimation

Lecture 29 - Generalized Linear Model

Lecture 30 - Independence of Irrelevant ALternatives

Lecture 31 - Balanced and Unbalanced Panel in Healthcare

Lecture 32 - Common Constant Model in Healthcare

Lecture 33 - Fixed Effect Model in Healthcare

Lecture 34 - Random Effect Model in Healthcare

Lecture 35 - Construction of Pseudo Panel

Lecture 36 - Need for Evaluation

Lecture 37 - Propensity Score Matching (PSM)

Lecture 38 - Difference-in-Difference Method (DID)

Lecture 39 - Randomized Control Trial (RCT)

Lecture 40 - Regression Discontinuity Method