Course on Basic Statistical methods for Doctoral Students

Course on Basic Statistical methods for Doctoral Students


Instructors: Laura Antolini, Paola Rebora, Davide Bernasconi

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Day 1 (4 April 2017 2-6 pm U8 A5)

    Identification of categorical and continuous variables, including the transformation into percentiles and z-scores. Graphical representation and summary indicators for categorical variables, continuous variables, survival (right censored) variables.
    The lecture is based on motivating application in papers [1][2][3]

Day 2 (5 April 2017 2-6 pm U18 Auditorium)

    Types of study designs and effect measures. Introduction to hypothesis testing. Tutorial
    The lecture and tutorial are based on motivating applications in paper [1]

Day 3 (6 April 2017 2-6 pm U8 A5)

    Hypothesis testing in unpaired designs for categorical variables, continuous variables, survival (right censored) variables. Considerations on power and sample size. Analysis of variance and multiple comparisons.
    The lecture is based on motivating applications in paper [1][3]

Day 4 (7 April 2017 2-6 pm U18 A2)

    Hypothesis testing in paired designs for categorical variables and continuous variables. Considerations on power and sample size. Tutorial. Evalutation.
    The tutorial is based on motivating applications in paper [1]

References
[1] A Trial of Sugar-free or Sugar-Sweetened Beverages and Body Weight in Children. N Engl J Med 2012; 367:1397-1406October 11, 2012DOI: 10.1056/NEJMoa1203034
[2] World Health Organization reference values for human semen characteristics*‡
Hum Reprod Update (2010) 16 (3): 231-245. DOI: https://doi.org/10.1093/humupd/dmp048
[3] Use of ramipril in preventing stroke: double blind randomised trial. BMJ 2002; 324 doi: https://doi.org/10.1136/bmj.324.7339.699 (Published 23 March 2002)

Martin Bland - An Introduction to Medical Statistics (Oxford Medical Publications)

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