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Here are a list of topics covered:
Introduction to Biostatistics
General concepts of biostatistics, how our biostatistician can help and how you should consult a biostatistician
Introduction to Inferential Statistics
Introduction to confidence interval and hypothesis test
Sample size and power estimation
The abuse of power estimation; how to do sample size/power calculation; what you should bring when asking for a statistician's help
P-values & FDR
What is p-value; misuse of p-value; multiple testing adjustment; FDR
Introduction to regression models
What is a regression model? Linear regression, logistic regression and other regression models
Introduction to survival data analysis
What is time to event data? what are appropriate methods for analyzing such data
Clinical trial design for Phase I,II, III
Traditional Phase I, II, III clinical trial design
Introduction to adaptive trial design in oncology
What is adaptive trial? practical considerations for designing an adaptive trial
Introduction to clinical research methods
Different clinical research designs
Introduction to Bioinformatics
What is Bioinformatics?
Introduction to data deidentification
How to de-identify your data file? What are the issues involved?
Introduction to data management
What is data management? What is the good practice of data management
Competing risk events in time-to-event data analysis
What is a competing risk event? Why and how to correctly handle these events in survival data analysis.
Data analysis for repeated measurements
What are appropriate statistical methods to analyze repeated measurements like longitudinal data?
Introduction to propensity score analysis
What is propensity score; regular PS analysis methods like PS matching, PS stratification, PS regression
Workshop: introduction of data analysis using SAS
How to use SAS for basic data processing, basic statistical tests such as t-test, ANOVA, chi-square test etc.
Workshop: introduction of data analysis using SPSS
How to use SPSS for basic data processing, basic statistical tests such as t-test, ANOVA, chi-square test etc.
Workshop: introduction of data analysis using R
How to use R for basic data processing, basic statistical tests such as t-test, ANOVA, chi-square test etc.
If you have any questions, suggestions or comments, feel free to contact us.