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Here are a list of topics covered.
Lecture Topics | Abstract |
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. |
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