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Longitudinal Analysis of Real World Data PDF – Atanu Bhattacharjee
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About Longitudinal Analysis of Real World Data
Analyzing clinical healthcare data over extended timeframes introduces complex statistical hurdles like missing data and time-varying covariates. Longitudinal Analysis of Real World Data by Atanu Bhattacharjee provides researchers with statistical methodologies for evaluating longitudinal datasets in healthcare and epidemiology. The text details linear mixed-effects models, generalized estimating equations (GEE), and survival analysis techniques using R software scripts. Real-world case studies illustrate how to extract meaningful clinical evidence from electronic health records and observational studies. This comprehensive PDF version is an vital reference for biostatisticians, clinical researchers, and data analysts.
Book Information
| 📖 Book Name: | Longitudinal Analysis of Real World Data |
| ✍️ Author: | Atanu Bhattacharjee |
| 📁 Category: | Statistics, Data Science, Biostatistics, Textbook, English |
| 📄 File Type: | |
| 🌍 Language: | English |
About the Author
Atanu Bhattacharjee is a biostatistician, researcher, and author specializing in clinical trial methodology, survival analysis, and healthcare data science. He has published extensive technical work on statistical computing and Bayesian modeling in medical research.