G652: Biostatistics I
Division of Biostatistics
Fall 2007
Course
Description and Objectives
G652
is an advanced applied biostatistics course designed for students with an
interest in the health sciences. Students are expected to have completed at
least one semester course of basic biostatistics.
Knowledge of probability and probability distributions, concepts of estimation
and hypothesis
testing are assumed. Topics covered in this course include multiple linear
regression, multi-factor
analysis of variance, analysis of covariance, analysis of repeated measures,
logistic regression
model, and survival analyses. Upon
completion of the course, students are expected to understand the appropriate
statistical models
for various outcomes and be able to interpret results using statistical
techniques covered in
this course. Students are also expected to conduct simple analyses using SPSS
on personal computers.
Textbook
Principles
of Biostatistics, 2nd Edition, by Pagano and Gauvreau
Prerequisite
G651
or equivalent to G651
Syllabus
Multiple
linear regression:
Multiple correlation coefficient and interpretations,
Inference, Confounder bias,Polynomial terms, Indicator variables, Interactions, Model
selection, Residual plots, Outliers, Examining the assumptions, Transformation
of predictors, Common misuse of regression models
Analysis
of Variance (ANOVA):
Review of One factor ANOVA and, Multiple comparisons, Multi-factor
ANOVA, Interactions
Analysis
of Covariance (ANCOVA):
Indicator variables, Interactions
Random
effect models and analysis of repeated measures
Logistic
regression:
2x2 tables and odds ratio, Parameter estimation and
inference
Diagnostic
Tests:
Sensitivity and Specificity, ROC curve
Survival
analysis:
Censoring, Survival function, Hazard function, Estimation
of survival function and
Hazard function (life-table method and Kaplan-Meier
method), Comparing survival
functions, Cox’s Proportional hazard model
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