33131-33141

33131-33141 - Introduction to Modeling Continuous...

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Introduction to Modeling  Continuous Longitudinal Data and Repeated Measures ANOVA Kristin Sainani Ph.D. http://www.stanford.edu/~kcobb Stanford University Department of Health Research and Policy
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Introduction to continuous  longitudinal data: Examples
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Copyright ©1995 BMJ Publishing Group Ltd. Lokken, P. et al. BMJ 1995;310:1439-1442 Day of surgery Days 1-7 after surgery (morning and evening) Mean pain assessments by visual analogue scales (VAS) Homeopathy vs. placebo in  treating pain after surgery
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Divalproex vs. placebo for  treating bipolar depression Davis et al. “Divalproex in the treatment of bipolar depression: A placebo controlled study.” J Affective Disorders 85 (2005) 259-266.
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Copyright ©1995 BMJ Publishing Group Ltd. Keller, H.-R. et al. BMJ 1995;310:1232-1235 Mean (SD) score of acute mountain sickness in subjects treated with simulated descent (One hour of treatment in the hyperbaric chamber) or dexamethasone. Randomized trial of in-field treatments  of acute mountain sickness
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Copyright ©1997 BMJ Publishing Group Ltd. Cadogan, J. et al. BMJ 1997;315:1255-1260 Mean (SE) percentage increases in total body bone mineral and bone density over 18 months. P values are for  the differences  between groups  by repeated  measures  analysis of  variance Pint of milk vs. control on bone  acquisition in adolescent females
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Copyright ©2000 BMJ Publishing Group Ltd. Hovell, M. F et al. BMJ 2000;321:337-342 Counseling vs. control on  smoking in pregnancy
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Longitudinal data: broad form id    time1   time2   time3   time4 1      31       29       15       26 2      24       28       20       32 3      14       20       28       30 4      38       34       30       34 5      25       29       25       29 6      30       28       16       34 Hypothetical data from  Twisk , chapter 3, page 26, table 3.4 Jos W. R. Twisk. Applied Longitudinal Data Analysis for Epidemiology: A Practical Guide. Cambridge University Press, 2003.
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Longitudinal data: Long form Hypothetical data  from  Twisk chapter 3, page  26, table 3.4 id    time    score 1      1       31 1      2       29 1      3       15                                        1    4       26 2      1       24 2    2       28 2      3       20 2      4       32 3      1       14 3      2       20 id    time    score 4      1       38                                       4      2       34 4      3       30 4      4       34 5      1       25
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This note was uploaded on 02/23/2012 for the course STAT 312 taught by Professor Staff during the Fall '11 term at Rutgers.

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33131-33141 - Introduction to Modeling Continuous...

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