Statistical Fridays J C Horrow, MD, MS STAT Clinical Professor, Anesthesiology Drexel University College of Medicine.

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Presentation transcript:

Statistical Fridays J C Horrow, MD, MS STAT Clinical Professor, Anesthesiology Drexel University College of Medicine

Session Review New concepts: Observations vary Observational vs. experimental data Graphing your data Example: 50 patients induced with TPL or PPF Homework: 20 patients given spinals for C-section

Session Summary 1.A statistic is a function of the data. 2.Useful statistics have known distributions. 3.Statistical tests are based on a “null” hypothesis to be disproved. 4.The “Normal” distribution is the most common and useful distribution.

Statistic: function of data Average of all observations (mean) Average of the smallest and largest The middle observation (median) The largest observation The first observation USES: for estimation and testing

Statistical Inference ESTIMATIONHYPOTHESIS TESTING Point Estimators Interval Estimators mean, variance95% Conf. Int.

Useful Statistics Are unbiased (on average, hit the mark) Have minimal variance Have known distributions Sample average ~ Normal ( ,    ) Sample average ~ t ( , s   ) Sample standard deviation = s (N-1)s 2 /   ~   (n-1)

Useful Statistics Suggest several useful statistics for the induction data and state the assumptions for each PPF TPL

Concept #3: Null Hypothesis Statistical tests are based on a “null” hypothesis to be disproved. EXAMPLES:  TPL =  PPL for  SBP MEDIAN TPL < MEDIAN PPL   TPL =   PPL PPF TPL

Concept #3: Statistical Tests Statistical tests utilize “test statistics” (duh?) To test equality of means:  TPL –  PPL and compare it to zero To test equality of medians: Sum of Ranks TPL - Sum of Ranks PPL To compare sample variances: s  TPL / s  PPL and compare it to one

The Normal Distribution Most common way numbers distribute Occurs when measurement results from sum of individual parts Sums and averages “Bell”-shaped curve; symmetric Observations clustered in center; fewer occur farther from center. No “cut-off” at either end

The Normal Distribution

Session Review New concepts: Statistics are functions of the data Useful statistics have known distributions Statistical inference = estimation; testing Tests seek to disprove a “null” hypothesis Example: 50 patients induced with TPL or PPF Homework: 20 patients given spinals for C-section