'Prob chi2 0' presentation slideshows

Repeated Measures, Part I

Repeated Measures, Part I. Charles E. McCulloch, Division of Biostatistics, Dept of Epidemiology and Biostatistics, UCSF. April, 2011. Outline. Motivating examples and introduction Analysis of the fecal fat data Accommodating correlated data Analyzing change in longitudinal data

570 views • 47 slides

Repeated Measures, Part I

Repeated Measures, Part I. Charles E. McCulloch, Division of Biostatistics, Dept of Epidemiology and Biostatistics, UCSF. April, 2009. Outline. Motivating examples and introduction Analysis of the fecal fat data Accommodating correlated data Analyzing change in longitudinal data

593 views • 46 slides

Methods Workshop (3/10/07)

254 views • 20 slides

Class Analysis Review

Class Analysis Review. Predict Test Score (testscr), using the following independent variables: Student teacher ratio (str) Expenditures per student ( expn_stu ) % students with English as a second language ( el_pct ) Run the model Evaluate the Output Draw Initial Conclusions. Multiple R.

166 views • 9 slides

Introduction to Logistic Regression

Introduction to Logistic Regression. Coronary Heart Disease (CHD) Baseline: CAT, ECG Age: potential confounder or modifier. Definitions. p = probability of CHD C = catecholamine level (0=low, 1=high) E = ECG (0=normal,1=abnormal) A = age (in years) p/(1-p) = odds of CHD

259 views • 6 slides

Introduction to Logistic Regression

Introduction to Logistic Regression. Coronary Heart Disease (CHD) Baseline: CAT, ECG Age: potential confounder or modifier. Definitions. p = probability of CHD C = catecholamine level (0=low, 1=high) E = ECG (0=normal,1=abnormal) A = age (in years) p/(1-p) = odds of CHD

155 views • 6 slides