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Analysis of epidemiological data using R and Epicalc

By addebook • Jul 14th, 2008 • Category: Medicine Get in Amazon

Analysis of epidemiological data using R and Epicalc
by Virasakdi Chongsuvivatwong

Analysis of epidemiological data using R and Epicalc
Virasakdi Chongsuvivatwong
328 pages

Table of Contents
Chapter 1: Starting to use R ______________________________________ 1
Chapter 2: Vectors ________________________________________________ 15
Chapter 3: Arrays, Matrices and Tables_____________________________ 25
Chapter 4: Data Frames_____________________________________________ 35
Chapter 5: Simple Data Exploration ________________________________ 49
Chapter 6: Date and Time __________________________________________ 63
Chapter 7: An Outbreak Investigation: Describing Time______________ 77
Chapter 8: An Outbreak Investigation: Risk Assessment _____________ 87
Chapter 9: Odds Ratios, Confounding and Interaction _______________ 97
Chapter 10: Basic Data Management ________________________________ 105
Chapter 11: Scatter Plots & Linear Regression ____________________ 121
Chapter 12: Stratified linear regression__________________________ 131
Chapter 14: Generalized Linear Models ____________________________ 149
Chapter 15: Logistic Regression___________________________________ 157
Chapter 16: Matched Case Control Study ___________________________ 177
Chapter 17: Polytomous Logistic Regression________________________ 185
Chapter 18: Ordinal Logistic Regression___________________________ 193
Chapter 19: Poisson and Negative Binomial Regression _____________ 197
Chapter 20: Introduction to Multi-level Modelling ________________ 211
Chapter 21: Survival Analysis ____________________________________ 225
Chapter 22: Cox Regression________________________________________ 237
Chapter 23 Analysing Attitudes Data ______________________________ 245
Chapter 24: Sample size calculation_______________________________ 255
Chapter 25: Documentation ________________________________________ 269
Chapter 26: Strategies of Handling Large Datasets ________________ 277
Solutions to Exercises ___________________________________________ 289
Index ____________________________________________________________ 310
Epicalc Functions ________________________________________________ 312
Epicalc Datasets _________________________________________________ 313

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