Media Storage Type : 32 GB USB Stick
NPTEL Subject Matter Expert : Prof. Pratap C. Mohanty
NPTEL Co-ordinating Institute : IIT Roorkee
NPTEL Lecture Count : 40
NPTEL Course Size : 5.1 GB
NPTEL PDF Text Transcription : Available and Included
NPTEL Subtitle Transcription : Available and Included (SRT)
Lecture Titles:
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